Part I: The Life of Cognitive Science:. William Bechtel, Adele Abrahamsen, and George Graham. Part II: Areas of Study in Cognitive Science:. 1. Analogy: Dedre Gentner. 2. Animal Cognition: Herbert L. Roitblat. 3. Attention: A.H.C. Van Der Heijden. 4. Brain Mapping: Jennifer Mundale. 5. Cognitive Anthropology: Charles W. Nuckolls. 6. Cognitive and Linguistic Development: Adele Abrahamsen. 7. Conceptual Change: Nancy J. Nersessian. 8. Conceptual Organization: Douglas Medin and Sandra R. Waxman. 9. Consciousness: Owen Flanagan. 10. (...) Decision Making: J. Frank Yates and Paul A. Estin. 11. Emotions: Paul E. Griffiths. 12. Imagery and Spatial Representation: Rita E. Anderson. 13. Language Evolution and Neuromechanisms: Terrence W. Deacon. 14. Language Processing: Kathryn Bock and Susan M. Garnsey. 15. Linguistics Theory: D. Terence Langendoen. 16. Machine Learning: Paul Thagard. 17. Memory: Henry L. Roediger III and Lyn M. Goff. 18. Perception: Cees Van Leeuwen. 19. Perception: Color: Austen Clark. 20. Problem Solving: Kevin Dunbar. 21. Reasoning: Lance J. Rips. 22. Social Cognition: Alan J. Lambert and Alison L. Chasteen. 23. Unconscious Intelligence: Rhianon Allen and Arthur S. Reber. 24. Understanding Texts: Art Graesser and Pam Tipping. 25. Word Meaning: Barbara C. Malt. Part III: Methodologies of Cognitive Science:. 26. Artificial Intelligence: Ron Sun. 27. Behavioral Experimentation: Alexander Pollatsek and Keith Rayner. 28. Cognitive Ethology: Marc Bekoff. 29. Deficits and Pathologies: Christopher D. Frith. 30. Ethnomethodology: Barry Saferstein. 31. Functional Analysis: Brian Macwhinney. 32. Neuroimaging: Randy L. Buckner and Steven E. Petersen. 33. Protocal Analysis: K. Anders Ericsson. 34. Single Neuron Electrophysiology: B. E. Stein, M.T. Wallace, and T.R. Stanford. 35. Structural Analysis: Robert Frank. Part IV: Stances in Cognitive Science:. 36. Case-based Reasoning: David B. Leake. 37. Cognitive Linguistics: Michael Tomasello. 38. Connectionism, Artificial Life, and Dynamical Systems: Jeffrey L. Elman. 39. Embodied, Situated, and Distributed Cognition: Andy Clark. 40. Mediated Action: James V. Wertsch. 41. Neurobiological Modeling: P. Read Montague and Peter Dayan. 42. Production Systems: Christian D. Schunn and David Klahr. Part V: Controversies in Cognitive Science:. 43. The Binding Problem: Valerie Gray Hardcastle. 44. Heuristics and Satisficing: Robert C. Richardson. 45. Innate Knowledge: Barbara Landau. 46. Innateness and Emergentism: Elizabeth Bates, Jeffrey L. Elman, Mark H. Johnson, Annette Karmiloff-Smith, Domenico Parisi, and Kim Plunkett. 47. Intentionality: Gilbert Harman. 48. Levels of Explanation and Cognition Architectures: Robert N. McCauley. 49. Modularity: Irene Appelbaum. 50. Representation and Computation: Robert S. Stufflebeam. 51. Representations: Dorrit Billman. 52. Rules: Terence Horgan and John Tienson. 53. Stage Theories Refuted: Donald G. Mackay. Part VI: Cognitive Science in the Real World:. 54. Education: John T. Bruer. 55. Ethics: Mark L. Johnson. 56. Everyday Life Environments: Alex Kirlik. 57. Institutions and Economics: Douglass C. North. 58. Legal Reasoning: Edwina L. Rissland. 59. Mental Retardation: Norman W. Bray, Kevin D. Reilly, Lisa F. Huffman, Lisa A. Grupe, Mark F. Villa, Kathryn L. Fletcher, and Vivek Anumolu. 60. Science: William F. Brewer and Punyashloke Mishra. Selective Biographies of Major Contributors to Cognitive Science: William Bechtel and Tadeusz Zawidzki. (shrink)

This book is intended as an introduction to the breadth of current research in cognitive science, with the research at Lund University Cognitive Science as our sample. The result is a smorgasbord for readers with some background in the neighbouring disciplines. Through the chapters we will follow some of the important cross-disciplinary issues in cognitive science. One is how the external world is represented, from cognitive maps in rats, to drawings made to enhance communication, or the (...) organization of semantic knowledge. Another is to what extent such representations really are used: the world is often its own best model in areas from robotics to choice, and several chapters illustrate that even communication is firmly situated in and constrained by its surroundings. In addition, many chapters emphasize the essentially dynamic relationship between mind and environment, in areas from development to interaction and learning. A third thread is how research concerning other animals= cognitive capacities, from pigeons to chimpanzees, has inspired research on human cognition, and how this comparative approach can be made to incorporate also non-animate fellow beings, such as robots and virtual characters. In sum, the book contains most of the areas we think are important in cognitive science today, and we hope that it will be of use for beginning researchers and advanced students in the area. Its production is part of the celebrations of Lund University Cognitive Science’s 20th anniversary. Our group hosts researchers with backgrounds in psychology, philosophy, computer science, linguistics, computational neuroscience, education, etc., and all of us have a multidisciplinary education. We encourage you to visit our web pages at www.lucs.lu.se to learn more about the activities of the group. (shrink)

This chapter contains sections titled: The Scientific Legitimacy of Mentalism? Cognitive Architecture and Massive Modularity Embodied, Situated, and Extended Cognition Concepts Mindreading Conclusion and Future Directions References.

Philosophy interfaces with cognitive science in three distinct but related areas. First, there is the usual set of issues that fall under the heading of philosophy of science (explanation, reduction, etc.), applied to the special case of cognitive science. Second, there is the endeavor of taking results from cognitive science as bearing upon traditional philosophical questions about the mind, such as the nature of mental representation, consciousness, free will, perception, emotions, memory, etc. Third.

Mental representations remain the central posits of psychology after many decades of scrutiny. However, there is no consensus about the representational format(s) of biological cognition. This paper provides a survey of evidence from computational cognitive psychology, perceptual psychology, developmental psychology, comparative psychology, and social psychology, and concludes that one type of format that routinely crops up is the language-of-thought (LoT). We outline six core properties of LoTs: (i) discrete constituents; (ii) role-filler independence; (iii) predicate–argument structure; (iv) logical operators; (v) (...) inferential promiscuity; and (vi) abstract content. These properties cluster together throughout cognitive science. Bayesian computational modeling, compositional features of object perception, complex infant and animal reasoning, and automatic, intuitive cognition in adults all implicate LoT-like structures. Instead of regarding LoT as a relic of the previous century, researchers in cognitive science and philosophy-of-mind must take seriously the explanatory breadth of LoT-based architectures. We grant that the mind may harbor many formats and architectures, including iconic and associative structures as well as deep-neural-network-like architectures. However, as computational/representational approaches to the mind continue to advance, classical compositional symbolic structures – that is, LoTs – only prove more flexible and well-supported over time. (shrink)

In recent decades cognitive science has revolutionised our understanding of the workings of the human mind. Philosophy has made a major contribution to cognitive science and has itself been hugely influenced by its development. This dynamic book explores the philosophical significance of cognitive science and examines the central debates that have enlivened its history. In a wide-ranging and comprehensive account of the topic, philosopher M.J. Cain discusses the historical origins of cognitive science and its philosophical (...) underpinnings; the nature and role of representations in cognition; the architecture of the mind and the modularity thesis; the nature of concepts; knowledge of language and its acquisition; perception; and the relationship between the brain and cognition. Cain draws upon an extensive knowledge of empirical developments and their philosophical interpretation. He argues that although the field has generated some challenging new views in recent years, many of the core ideas that initiated its birth are still to be taken seriously. Clearly written and incisively argued, The Philosophy of Cognitive Science will appeal to any student or researcher interested in the workings of the mind. (shrink)

Neuroethology is a branch of biology that studies the neural basis of naturally occurring animal behavior. This science, particularly a recent program called computational neuroethology, has a similar structure to the interdisciplinary endeavor of cognitive science. I argue that it would be fruitful to conceive of cognitive science as the computational neuroethology of humans. However, there are important differences between the two sciences, including the fact that neuroethology is much more comparative in its perspective. Neuroethology is a (...) biological science and as such, evolution is a central notion. Its target organisms are studied in the context of their evolutionary history. The central goal of this paper is to argue that cognitive science can and ought to be more comparative in its approach to cognitive phenomena in humans. I show how the domain of cognitive phenomena can be divided up into four different classes, individuated by the relative phylogenetic uniqueness of the behavior. I then describe how comparative evidence can enrich our understanding in each of these different arenas. (shrink)

The computational view of mind rests on certain intuitions regarding the fundamental similarity between computation and cognition. We examine some of these intuitions and suggest that they derive from the fact that computers and human organisms are both physical systems whose behavior is correctly described as being governed by rules acting on symbolic representations. Some of the implications of this view are discussed. It is suggested that a fundamental hypothesis of this approach is that there is a natural domain of (...) human functioning that can be addressed exclusively in terms of a formal symbolic or algorithmic vocabulary or level of analysis. Much of the paper elaborates various conditions that need to be met if a literal view of mental activity as computation is to serve as the basis for explanatory theories. The coherence of such a view depends on there being a principled distinction between functions whose explanation requires that we posit internal representations and those that we can appropriately describe as merely instantiating causal physical or biological laws. In this paper the distinction is empirically grounded in a methodological criterion called the " cognitive impenetrability condition." Functions are said to be cognitively impenetrable if they cannot be influenced by such purely cognitive factors as goals, beliefs, inferences, tacit knowledge, and so on. Such a criterion makes it possible to empirically separate the fixed capacities of mind from the particular representations and algorithms used on specific occasions. In order for computational theories to avoid being ad hoc, they must deal effectively with the "degrees of freedom" problem by constraining the extent to which they can be arbitrarily adjusted post hoc to fit some particular set of observations. This in turn requires that the fixed architectural function and the algorithms be independently validated. It is argued that the architectural assumptions implicit in many contemporary models run afoul of the cognitive impenetrability condition, since the required fixed functions are demonstrably sensitive to tacit knowledge and goals. The paper concludes with some tactical suggestions for the development of computational cognitive theories. (shrink)

PREFACE PART I METAPHYSICS Review of John McDowell’s Mind and World Special Sciences: Still Autonomous after All These Years Conclusion Acknowledgment Notes PART II CONCEPTS Review of Christopher Peacocke’s A Study of Concepts Notes There Are No Recognitional Concepts--Not Even RED Introduction Compositionality Why Premise P is Plausible Objections Conclusion Afterword Acknowledgment Notes There Are No Recognitional Concepts--Not Even RED, Part 2: The Plot Thickens Introduction: The Story ’til Now Compositonality and Learnability Notes Do We Think in Mentalese? Remarks on (...) Some Arguments of Peter Carruthers Appendix: Higher-Order Thoughts Notes Review of A. W. Moore’s Points of View PART III COGNITIVE ARCHITECTURE Review of Paul Churchland’s The Engine of Reason, The Seat of the Soul Connectionism and the Problem of Systematicity: Why Smolensky’s Solution Doesn’t Work Introduction I The Systematicity Problem and Its Classical Solution II Weak Compositionality III Strong Compositional Structure Conclusion Notes Connectionism and the Problem of Systematicity : Why Smolensky’s Solution Still Doesn’t Work Stage 1: Classical Theories The Connection with The Connection with Stage 2: Smolenksy Architectures Stage 3: Why Smolensky’s Solution Still Doesn’t Work Digression on singing and sailing Acknowledgment Notes There and Back Again: A Review of Annette Karmiloff-Smith’s Beyond Modularity 1. Encapsulation 2. Inaccessibility 3. Domain specificity 4. Innateness Conclusion Notes Review of Jeff Elman et al., Rethinking Innateness Brainlikeness Interactions Representational Nativism Empiricism Review of Steven Mithen’s The Prehistory of the Mind PART IV PHILOSOPHICAL DARWINISM Review of Richard Dawkins’s Climbing Mount Improbable Deconstructing Dennett’s Darwin Introduction Adaptation Adaptation and Teleology Deconstruction Notes Is Science Biologically Possible? Comments on Some Arguments of Patricia Churchland and of Alvin Plantinga Acknowledgment Notes Review of Steven Pinker’s How the Mind Works and Henry Plotkin’s Evolution in Mind Computation Massive modularity Innateness Psychological Darwinism. (shrink)

Introduction: Something on the State of the Art 1 I. Functionalism and Realism 1. Operationalism and Ordinary Language 35 2. The Appeal to Tacit Knowledge in Psychological Explanations 63 3. What Psychological States are Not 79 4. Three Cheers for Propositional Attitudes 100 II. Reduction and Unity of Science 5. Special Sciences 127 6. Computation and Reduction 146 III. Intensionality and Mental Representation 7. Propositional Attitudes 177 8. Tom Swift and His Procedural Grandmother 204 9. Methodological Solipsism Considered as a (...) Research Strategy in Cognitive Psychology 225 IV. Nativism 10. The Present Status of the Innateness Controversy 257 Notes 317. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Philosophy, Psychiatry, & Psychology 9.2 (2002) 159-160 [Access article in PDF] The Nine Lives of the Dynamic Unconscious Jerome Kroll IN THEIR PROVOCATIVE ARTICLE "Dispensing with the Dynamic Unconscious," O'Brien and Jureidini offer two basic arguments against the existence or, more accurately, because we are dealing here with constructs, the plausibility, of the dynamic unconscious. First, they assert, in contradistinction to the psychoanalytic claim that evidence of a (...) cognitive unconscious supports the claim for a dynamic unconscious, that the notion of a cognitive unconscious is incompatible with that of a dynamic unconscious. Second, they argue on the grounds of parsimony that the phenomena explained by a dynamic unconscious can be better explained (accounted for) by other mechanisms.I would argue that neither of their contentions is correct. O'Brien and Jureidini have essentially taken data and evidence from cognitive science, issued a new vocabulary, and then asserted that their vocabulary is superior and constitutes better explanations for the phenomena and observations under question. They have failed to show any incompatibility between the two explanatory constructs. O'Brien and Jureidini agree with the basic Freudian tenet that most mental activity is unconscious, that is, out of consciousness, and that much of what is out of consciousness can be brought into consciousness with proper cueing. No problem so far.The problem with the dynamic unconscious, as O'Brien and Jureidini see it, is that the cognitive unconscious is modular, best described as a series of subpersonal systems akin to a set of narrowly focused computational specialists, whereas the dynamic unconscious contains fully formed repressed memories. What O'Brien and Jureidini have now given us are multiple homunculi rather than just one CEO or executive homunculus. How literally do we want to take these subpersons? Are subpersonal mental states more satisfactory scientifically than personal-level mental states? Second, O'Brien and Jureidini unfairly attribute to the psychoanalytic position the claim that the dynamic unconscious "is presumed to contain fully formed repressed memories." With the compelling evidence from psychology and neuroscience that all memory is a reconstruction, I do not think that any contemporary psychodynamicist makes a case for fully formed repressed memories, nor is this notion essential to a theory of a dynamic unconscious. O'Brien and Jureidini invoke Occam's razor by invoking a straw horse argument. Their description of the action of subpersonal parts doing sufficient specific cuing sounds suspiciously like the work done in the dynamic unconscious. In the next section, an emotional response is described as pushing images out of mind before they can be reported on (assumedly, before they become conscious). What is doing the pushing here? Upon what principles or priorities are images pushed out of mind?The authors explain that mental "representations are inaccessible to consciousness by virtue [End Page 159] of architectural constraints rather than the operation of a repressive force." But architectural constraints sounds like another way of describing neural facilitation and inhibition. Certainly most neural activity, perhaps all, involves facilitation and inhibition of signals at multiple synapses. Repression is just a psychological construct to describe what the processes of facilitation and inhibition bring about in terms of meaningful mental activity. While we are on the topic of choice of words, the repeated description of the dynamic unconscious as subterranean is an inflammatory locution designed to rally opposition to the notion. The cognitive unconscious is equally subterranean.To look further into the supposed superiority of explanation via the cognitive unconscious, we see that O'Brien and Jureidini attribute the following processes to the cognitive unconscious: evaluation, decision making, editing out, filling in, reconstruction, and reconfiguration. But what are the bases of these processes? What guides or influences the way ideas, images, and emotions are reconstructed and reconfigured? It does not appear to be done randomly. When the reconstructive narrative becomes "significantly distorted" because the memory to be retrieved is fraught with distress, what accounts for the shape of the distortion and what (dare we say who?) recognizes that a memory is about to be distressing? We may all be unhappy with the notion of a dynamic unconscious... (shrink)

This book examines linguistic expressions of emotion in intensional contexts and offers a formally elegant account of the relationship between language and emotion. The author presents a compelling case for the view that there exist, contrary to popular belief, logical universals at the intersection of language and emotive content. This book shows that emotive structures in the mind that are widely assumed to be not only subjectively or socio-culturally variable but also irrelevant to a general theory of cognition offer an (...) unusually suitable ground for a formal theory of emotive representations, allowing for surprising logical and cognitive consequences for a theory of cognition. Challenging mainstream assumptions in cognitive science and in linguistics, this book will appeal to linguists, philosophers of the mind, linguistic anthropologists, psychologists and cognitive scientists of all persuasions. Prakash Mondal is Assistant Professor of Linguistics and Cognitive Science at the Indian Institute of Technology Hyderabad. He is the author of Language, Mind and Computation (2014), Natural Language and Possible Minds (2016) and Language, Biology and Cognition (completed). (shrink)

Cognitive representations are typically analysed in terms of content, vehicle and format. While current work on formats appeals to intuitions about external representations, such as words and maps, in this paper we develop a computational view of formats that does not rely on intuitions. In our view, formats are individuated by the computational profiles of vehicles, i.e., the set of constraints that fix the computational transformations vehicles can undergo. The resulting picture is strongly pluralistic, it makes space for a (...) variety of different formats, and is intimately tied to the computational approach to cognition in cognitive science and artificial intelligence. (shrink)

Annotation. Despite their importance, FOR have been generally underinvestigated. As the first book devoted to the theme, it suggests the exciting idea of a computer model that could change its FOR, and then evaluate its FOR relative to a particular task. The book looks at the influence on understanding, insight, expertise and the advance of knowledge of the forms of representation we use. This book will be welcomed by researchers in the fields of Cognitive Science and AI in particular, (...) and Psychology and Philosophy in general. (shrink)

In a recent survey of contemporary philosophy of emotion, Ronald de Sousa states that "in recent years … emotions have once again become the focus of vigorous interest in philosophy, as well as in other branches of cognitive science" (de Sousa 2003, 1). He then goes on to make the important observation that "in view of the proliferation of increasingly fruitful exchanges between researchers of different stripes, it is no longer useful to speak of the philosophy (...) of emotion in isolation from the approaches of other disciplines, particularly psychology, neurology and evolutionary biology" (de Sousa 2003, 1). This last remark is particularly apt in the case of a topic like modularity and emotion, which represents an ideal opportunity for reflecting on the emerging alliance between the philosophy of emotion and emotion science. In addition to being interesting in its own right, the topic also illustrates some of the perils associated with the new alliance, as different academic traditions must adapt to interdisciplinary dialogue... (shrink)

Most of this work is concerned with two theories that underlie cognitive science; theories which I call "the representational theory of intentionality" and "the computational theory of cognition" . While the representational theory of intentionality asserts that mental states are about the world in virtue of a representation relation between the world and the state, the computational theory of cognition asserts that humans and others perform cognitive tasks by computing functions on these representations. CTC draws upon a rich (...) analogy between the mind and digital computers, portraying cognizers as receiving input and generating outputs . ;Since researchers within cognitive science--especially within cognitive psychology, computer science, and philosophy of mind--share a common theoretic background in their adherence to the combination of RTI and CTC, what I call "computationalism" most of the work done in philosophy of mind has been aimed at either refuting or further articulating these two theories. This work is strongly within that tradition. ;RTI and CTC combine to create an explanatory framework for explanation in cognitive science. In this work, I seek to delineate the exact structure of this framework, to determine its components and their overall relationships. In my mind, this involves making implicit aspects of computational explanation explicit, providing an overall rationale for the various components and their relationships, and defending that rationale against criticism. ;In particular, the project of this work is to argue that computationalist explanations of cognition within cognitive science need to make appeals to both representation and knowledge; to distinguish the respective roles of knowledge and of representation in an overall picture of computational explanations, and to develop and argue for definitions of representation and knowledge that would allow those concepts to play their respective roles within computational explanations in cognitive science. ;The first half of this work , therefore, is devoted to theories of representation, especially to the need for, and role of representation in computational explanations. The first half of the work culminates in chapter three with a definition of representation and a picture of the structure of computational explanations. The second half of the project then becomes to generate a definition of knowledge that defines knowledge in non-epistemic language amenable to computationalism and that carries the epistemic burdens placed upon knowledge by its use in computational explanations, as well as to offer a limited defence of that definition within the framework of traditional epistemology. (shrink)

The proponents of embodied cognition often try to present their research program as the next step in the evolution of standard cognitive science. The domain of standard cognitive science is fairly clearly circumscribed (perception, memory, attention, language, problem solving, learning). Its ontological commitments, that is, its commitments to various theoretical entities, are overt: cognition involves algorithmic processes upon symbolic representations. As a research program, embodied cognition exhibits much greater latitude in subject matter, ontological commitment, and methodology than does (...) standard cognitive science. The proponents of embodied cognition to explain the aspects of human cognition are using the importance of embodied interaction with the environment, which is a dynamic relation. The cause of disagreement between these two approaches is regarding the role assumed by the notion of representation. The discussion about the contrast between embodied cognition and standard cognitive science is incomplete without Gibson’s ecological theory of perception and connectionist account of cognition. I will briefly contrast these important theories with computational view of cognition, highlighting the debate over role of representation. Embodied cognition has incorporated rather extensively a variety of insights emerging from research both in ecological psychology and in connectionism. The way I have followed to contrast embodied cognition with standard cognitive science, involves concentration on those several themes that appear to be prominent in the body of work that is often seen as illustrative of embodied cognition. This strategy has the advantage of postponing hard questions about “the” subject matter, ontological commitments, and methods of embodied cognition until more is understood about the particular interests and goals that embodied cognition theorists often pursue. This approach might show embodied cognition to be poorly unified, suggesting that the embodied cognition label should be abandoned in favor of several labels that reflect more accurately the distinct projects that have been clumped together under a single title. Alternatively, it might show that, in fact, there are some overarching commitments that bring tighter unity to the various bodies of work within embodied cognition that seem thematically only loosely related. The contrast between these two approaches is highlighted not only the basis of a priori argument but major experiments have been mentioned, to show the weight of the assumptions of both the contrasting approaches. (shrink)

How does the mind lend itself to artistic creation and appreciation? How should we study minds and arts in ways that transform our understanding of both? This book examines the concepts of art and cognition from the complementary perspectives of philosophy, the empirical sciences, and the humanities. Central chapters combine examples of visual art, music, literature, and film with the properties of cognition that they illuminate, including 4E cognition, predictive processing, and theories of affect and emotion. These aspects of (...) cognition are undergoing theoretical shifts that complicate established understandings of the mind and its encounter with the arts. As the book takes stock of recent developments in aesthetics that have incorporated empirical findings (Naturalized Aesthetics), it also envisions a new generation of cognitive science with robust ties to history and literature (the Cognitive Humanities). In this way, Cognition and the Arts can be seen as a model of interdisciplinary scholarship. (shrink)

The study of animal cognition raises profound questions about the minds of animals and philosophy of mind itself. Aristotle argued that humans are the only animal to laugh, but in recent experiments rats have also been shown to laugh. In other experiments, dogs have been shown to respond appropriately to over two hundred words in human language. In this introduction to the philosophy of animal minds Kristin Andrews introduces and assesses the essential topics, problems and (...) debates as they cut across animal cognition and philosophy of mind. She addresses the following key topics: what is cognition, and what is it to have a mind? What questions should we ask to determine whether behaviour has a cognitive basis? the science of animal minds explained: ethology, behaviourist psychology, and cognitive ethology rationality in animals animal consciousness: what does research into pain and the emotions reveal? What can empirical evidence about animal behaviour tell us about philosophical theories of consciousness? does animal cognition involve belief and concepts; do animals have a ‘Language of Thought’? animal communication other minds: do animals attribute ‘mindedness’ to other creatures? moral reasoning and ethical behaviour in animals animal cognition and memory. Extensive use of empirical examples and case studies is made throughout the book. These include Cheney and Seyfarth’s ververt monkey research, Thorndike’s cat puzzle boxes, Jensen’s research into humans and chimpanzees and the ultimatum game, Pankseep and Burgdorf’s research on rat laughter, and Clayton and Emery’s research on memory in scrub-jays. Additional features such as chapter summaries, annotated further reading and a glossary make this an indispensable introduction to those teaching philosophy of mind, animal cognition. It will also be an excellent resource for those in fields such as ethology, biology and psychology. (shrink)

Chapter 1 First Person Access to Mental States. Mind Science and Subjective Qualities -/- Abstract. The philosophy of mind as we know it today starts with Ryle. What defines and at the same time differentiates it from the previous tradition of study on mind is the persuasion that any rigorous approach to mental phenomena must conform to the criteria of scientificity applied by the natural sciences, i.e. its investigations and results must be intersubjectively and publicly controllable. In Ryle’s view, (...) philosophy of mind needs to adopt an antimentalist stance to achieve this aim. Antimentalism not only definitively rejects the idea that mind is a substance separated from the body, it also denies that mental phenomena radically differ from physical phenomena by virtue of several unique features. Most problematically, mental phenomena have a conscious character (mental states are related to specific qualitative feelings) and are accessible only to the first-person (only the subject knows directly what s/he is experiencing inside his/her mind). Ryle takes a strong stance on antimentalism going so far as to maintain that an approach to mind which aims to meet the criteria of scientificity set by the natural sciences must avoid any reference to internal, unobservable mental states. In his view (which is considered a specifically philosophical version of psychological behaviorism and also addresses questions put forward in psychological research), mental states can be redescribed in terms of behavioral dispositions. In this chapter, we address the historical roots of the antimentalist view and analyze its relation to the later tradition of research on mind. We show that, compared to the antimentalist stance, functionalism and cognitivism take a step back when they maintain that direct reference to mental states is necessary since mental states cause and therefore explain human behavior. This step backwards is often interpreted as a return to mentalism. However, this is only partially true. Indeed, we suggest that these later traditions retain one important element of Ryle’s antimentalism, i.e. the idea that mental states must be uniquely identified using external and publicly observable criteria, while excluding any reference to introspection and those qualitative dimensions of a mental state, which are accessible only to the first-person. According to the perspective we put forward, this epistemological stance has continued to influence contemporary research on mind and current philosophical and psychological theories which both tend to exclude the subjective qualities of human experience from their accounts of how the mind works. The issue we raise here is whether this is legitimate or whether subjective qualities do play a role with respect to the way our mind works. The conclusion of this chapter anticipates the argument the book makes in in favor of this latter position, starting from a particular angle, i.e. the problem of how we categorize concepts related to our internal states. -/- Chapter 2 The Misleading Aspects of the Mind/Computer Analogy. The Grounding Problem and the Thorny Issue of Propriosensitive Information -/- Abstract. After the crisis of behaviorism, cognitivism and functionalism became the predominant models in the field of psychology and of philosophy, respectively. Their success is mainly due to the new key they use for interpreting mental processes: the mind/computer analogy. On the basis of this analogy, mental operations are seen as cognitive processes based on computations, i.e. on manipulations of abstract symbols which are in turn understood as informational unities (representations). This chapter identifies two main problems with this model. The first is how these symbols can relate to and communicate with perception and thus allow us to identify and classify what we perceive through the senses. Here we limit ourselves to presenting this issue in relation to the classical symbol grounding problem originally put forward by Harnad on the basis of Searle’s Chinese room argument. An attempt to address the problem raised here will be made in chap. 3. The second point we discuss in relation to the mind/computer analogy concerns the idea of information it fosters. Indeed, following this analogy, information is something available in the external world which can be captured by the senses and transmitted to the central system without being influenced or modified by the procedures of transmission. This perspective does not take into account that – unlike computers – in living beings information is acquired by means of the body. As Ulric Neisser has already pointed out, the body is itself an informational source that provides us with additional sensory experience that influences (modifies or complements) the information extracted from the external world by the senses. To develop this line of analysis and to determine exactly what information is provided by the body and how this might influence cognition, we examine Sherrington’s and Gibson’s positions. Moving on from their views, we qualify bodily information in terms of ‘proprioception’. We use ‘proprioception’ in a broad sense to describe any kind of experience we have of our internal states (including postural information as well as sensations related to the general state of the body and its parts). Following Damasio’s and Craig’s studies, we further elaborate this position, arguing that living beings are equipped with an internal propriosensitive monitoring system which maps all the changes that constantly occur in our body and that give us perceptual (‘proprioceptive’ or propriosensitive) information about what happens inside us. Moreover, relying on Goldie’s and Ratcliffe’s view, we show that emotional information can also be considered as a form of ‘proprioception’ which contributes to determining everything we perceive. This analysis leads us to the second main thesis of this book: ‘proprioception’ is a form of internal perception and it is an essential component of the sensory information we can access and use for all cognitive purposes. -/- Chapter 3 Semantic Competence from the Inside: Conceptual Architecture and Composition -/- Abstract. Concepts are essential constituents of thought: they are the instruments we use to categorize our experience, i.e. to classify things and group them together in homogeneous sets. Here we define concepts as the internal mental information (representations) that allows us, among other things, to master words in natural language. By analyzing the way in which individuals master word meanings we explore a number of hypotheses regarding the nature of concepts. Following Diego Marconi’s research, we differentiate between two kind of abilities that underpin lexical competence – so-called ‘referential’ and ‘inferential competence’ – and we suggest that, in order to support these abilities, concepts must also include two corresponding kinds of information, i.e. inferential and referential information. We point out that the most widely used and acknowledged theories of concepts do not make this distinction, instead broadly characterizing the information used for categorization in terms of propositionally described feature lists. However, we show that while feature lists can explain inferential competence, they do not account for referential competence. To address the issue of referential competence we examine Ray Jackendoff’s hypothesis that to account for the possibility of linking perceptual and conceptual information we need to assume the existence of a (visual) representation that encodes the geometric and topological properties of objects and bridges the gap between the percept and the concept. Furthermore, we analyze the extension of this work by Jesse Prinz who introduced the notion of a proxytype, a perceptual representation of a class of objects that incorporates structural and parametric information related to their appearance. However, as we point out, proxytypes can only explain the relationship between perception and concepts with respect to instances that can be perceived through the senses and that belong to the same class by virtue of their physical similarity. We suggest that this notion be extended to include larger conceptual classes. To accomplish this, we further develop Mark Johnson, George Lakoff and Jean Mandler’s idea of a schematic image and argue that conceptual representations include a perceptual schema. Perceptual schemata are non-linguistic, structured experiential gestalts (patterns or maps) that make use of information taken from all sensory modalities, including body perception. They accomplish a quasi-conceptual function: they allow us to recognize and to classify different instances. In this work, we hypothesize that perceptual schemata are an essential component of concepts, but not identical to them. Instead, we suggest that concepts include both perceptual and propositional information with perceptual schemata providing the ‘perceptual core concept’ that grounds related propositional information. -/- Chapter 4 In the Beginning There Were Categories. The Bodily Origin of Prelinguistic Categorical Organization: The Example of Folkbiological Taxonomies -/- Abstract. Studies of categorization in psychology and the cognitive sciences have made use of the notions of ‘category’ and ‘concept’ without precisely defining what is meant by either; in fact, often these terms have been used as synonyms, making it difficult to address specific issues related to conceptual development. This chapter begins by discussing the definitions of, as well as the distinctions between, ‘categories’ and ‘concepts’ in the classical philosophical tradition (Aristotle, Kant and Husserl). We introduce our view of categories with reference to Husserl. Categorization is defined as the way in which our experience is originally (pre-linguistically) organized in a passive and fully unconscious manner on the basis of universal structuring principles. Conceptualization is explained as a later process in which the earlier categorical macro-classes are further subdivided into more specific and detailed sets; this later process also relies on linguistic learning and exposure to culture. On the basis of Ray Jackendoff, Jean Mandler, George Lakoff and Mark Johnson’s work, we hypothesize that categorization is a two-step process that begins with the formation of homogeneous sets of entities partitioned into regions that describe the ontological boundaries of the objects that humans perceive (categories) and continues at a later stage with the development of more specific classifications (concepts). In this chapter, we mainly address three related issues: Why should we assume that there is categorical organization which precedes the development of a conceptual system? How do categories and concepts relate to each other? Shall we hypothesize that categories are innate or that they are formed before concepts on the basis of information and organizational structure available at a very early developmental stage? We show that categorical partitions are necessary for categorization and, following Mandler, that the general categories we form at an early age do not match our adult superordinate concepts. As for the third issue, we argue that there might be no need to assume that categories are innately present in the human mind, since their formation can be explained – at least in certain cases – by basic mechanisms that work on body (propriosensitive) information. This hypothesis will not be discussed in general, but in relation to a particularly relevant example of categorical partition, i.e. the folk-biological dichotomy between ANIMATE/INANIMATE. This is compared with other dichotomies that derive from it, but are not directly categorical such as LIVING/NON-LIVING and BIOLOGICAL/NON-BIOLOGICAL. -/- Chapter 5 Internal States: From Headache to Anger. Conceptualization and Semantic Mastery -/- Abstract. Here we ask if we can also apply the distinction between referential and inferential competence we introduced in Chapter 3 to words that do not refer to things that are perceived using the external senses, especially to words/concepts that denote bodily experiences (such as pain, thirst, hunger, etc.) or emotions. We introduce and discuss the hypothesis that – even though such words/concepts do not refer to intersubjectively identifiable entities in the external world – they do have a kind of referent that can be accessed via direct perception, more specifically ‘proprioception’, as we have defined it in terms of all propriosensitive information we can consciously access. In the first part of the chapter, we specifically consider terms denoting bodily experiences such as ‘pain’ or ‘hunger’ and argue that their referents are identified and classified from a first-personal point of view on the basis of four main characteristics: their specific intensity, their localization in the body, their co-occurrence with other signals and above all their specific qualitative sensations. Emotions are addressed in the second part of the chapter. We suggest that there is a continuity between bodily experiences and emotions. In particular, we argue for a perceptual theory of emotions in line with that proposed by James and Lange at the end of the 19th century and developed more recently by authors such as Damasio (see also chap. 2§5, §6). The hypothesis we put forward is that the referential information that supports the categorization of emotions and therefore also our mastery of terms referring to emotions consists in the perception (i.e. the ‘proprioception’) of those bodily states and changes in bodily states which constitute our emotional experience. In the context of this discussion we examine some objections to this line of reasoning that arise from a cognitivist perspective and following authors such as Oatley, Johnson-Laird and Frijda, we distinguish between basic emotions that can be identified and classified solely on the basis on how they feel and complex emotions whose identification and classification additionally depends on cognitive factors. To describe how emotions are identified and classified on the basis of how they feel, we rely on Marcel and Lambie’s distinction between an ‘emotion state’ and an ‘emotion experience’. Both notions indicate kinds of feelings that we consciously experience. However, they describe first-order and second order emotion awareness respectively. The emotion state is the feeling we have of the bodily states and changes that occur when we are experiencing an emotion, while the emotion experience is the fully developed and integrated emotion we both experience and are, with reflection, aware of experiencing. On the basis of this differentiation, we also show that the same characteristics that aid in the identification and classification of bodily experiences (specific qualitative sensations; somatic localization; specific intensity; presence/absence of specific concomitant sensations) can also be used for the identification and classification of emotions – at least basic emotions. In the last two sections of the chapter we present some clinical evidence on the semantic competence of people who suffer from Alexithymia and Autism Spectrum Disorder which supports the conclusions of our preceding analyses. -/- Chapter 6 The ‘Proprioceptive’ Component of Abstract Concepts -/- Abstract. In this chapter, we address the issue of whether the mastery of abstract words requires only inferential knowledge and thus, if the concepts that support the mastery of abstract words include only linguistic information. We start by differentiating the notions of ‘abstract’ and ‘general’ which are often erroneously confused. We then identify a strict definition of abstract, as contrasted with ‘concrete’, that applies to words or concepts whose referent cannot be experienced by the senses. We argue that abstract words/concepts would be better described as theoretical, because they are usually conceived as structured sets of inferential knowledge expressed linguistically; that is, as small theories. Pointing out parallels with Carnap’s analysis of this issue in philosophy of science, we hypothesize that words/concepts denoting non-observable entities are not all ‘equally theoretical’, because their link to sensory experience can be stronger or weaker. We revive the distinction, inspired by Quine, between theoretical and intertheoretical concepts/words. This distinction relies on the fact that the former – unlike the latter – retains a strong, although indirect, connection with perception. In Quine’s discussion, perception is understood uniquely in terms of observability, i.e. of external sensory experience. Here we argue, however, that bodily, ‘proprioceptive’ (i.e. propriosensitive) experience can also serve to referentially ground theoretical (i.e. abstract) concepts/words. We frame this issue using the example of the theoretical concept ‘freedom’ and Lakoff’s hypothesis that this concept is developed on the basis of bodily information. We contrast this with the example of ‘democracy’ which more closely resembles an intertheoretical concept/word. Furthermore, we show that one of the classical views put forward in psycholinguistic research to explain how abstract concepts are mentally represented – i.e. Paivio’s Dual Coding Theory – points in the same direction as our analysis. The same is true of Barsalou’s work suggesting that we use internal information to understand at least some abstract words. To sustain this position, we put forward two lines of evidence: the first comes from psycholinguistic studies while the second examines deficits of semantic competence exhibited by people with Autism Spectrum Disorder. On the basis of our analysis, we put forward a classification that distinguishes between different kinds of concreteness and different degrees of abstraction: concepts/words referring to body experiences and basic emotions are described as analogous to concrete concepts/words because they are grounded in perceptual (i.e. propriosensitive) experience, while abstract concepts/words are considered more or less abstract depending on whether they are intratheoretical (and rely entirely on inferential information) or theoretical (and are partially grounded in perceptual – or more often in propriosensitive perceptual – information). In the last section of the chapter we consider two scales that have been used in psycholinguistic research to measure the degree of concreteness vs. abstractness of words and we show that – used conjointly – they can provide a measure of the internal vs. external grounding of specific words. (shrink)

This article has been retracted. Please see the retraction notice for more detail: 10.1007/s40961-018-0159-5.

In this paper I link two hitherto disconnected sets of results in the philosophy of emotions and explore their implications for the computational theory of mind. The argument of the paper is that, for just the same reasons that some computationalists have thought that cognition may be a natural kind, so the same can plausibly be argued of emotion. The core of the argument is that emotions are a representation-governed phenomenon and that the explanation of how they figure in (...) behaviour must as such be undertaken in those terms. I conclude with some interdisciplinary reflections in defence of the hypothesis that emotions might be more fundamental in the organization of behaviour than cognition; that, in effect, we may be emoters before we are cognizers . The aim of the paper is: (1) to introduce a number of promising results in philosophical and empirical emotion theory to a wider audience; and (2) to begin the task of organizing those results into a computational theoretical framework. (shrink)

In this paper I review some leading developments in the empirical theory of affect. I argue that (1) affect is a distinct perceptual representation governed system, and (2) that there are significant modular factors in affect. The paper concludes with the observation thatfeeler (affective perceptual system) may be a natural kind within cognitive science. The main purpose of the paper is to explore some hitherto unappreciated connections between the theory of affect and the computational theory of mind.

_Abstract_: In this paper we carve out a _reformist_ agenda within the debate on the foundations of cognitive science, incorporating some important ideas from the 4E cognition literature into the computational-representational framework. We are deeply sympathetic to this reformist program since we think that, despite strong criticism of the concept of computation and the related notion of representation, computational models should still be at the core of the study of mind. At the same time, we recognize the need for (...) a liberalization of the computational and representational framework that can address deep dissatisfaction with the anti-biologism and radical internalism of classical cognitive science. However, reform is a difficult task, so in this article we focus on two open questions within the reformist agenda. The first concerns the possibility of combining mechanistic-computational and dynamical explanations. The second concerns related changes in the notion of representation and its use (with special attention to Andy Clark’s radical predictive processing). _Keywords_: Continuum of Representational Genera;_ _Enactivism; Predictive Processing; Radical Embodied Cognition Thesis; Representationalism _ Due problemi aperti nell’agenda riformista della filosofia della scienza cognitiva _ _Riassunto_: In questo lavoro identifichiamo un’agenda _riformista_ nel dibattito sui fondamenti della scienza cognitiva che incorpora alcune idee centrali provenienti dalla letteratura sulla cognizione 4E all’interno di una cornice computazionalista e rappresentazionalista. Tale agenda considera il quadro computazionalista e rappresentazionalista ancora imprescindibile ai fini dello studio integrato della mente e del cervello, ma ne persegue una liberalizzazione nell’intento di renderlo idoneo ad accogliere alcuni importanti spunti emersi dalla letteratura sulla cognizione delle 4E. Tuttavia, riformare è un compito difficile. In questo articolo ci concentriamo su due problemi aperti nell’agenda riformista. Il primo riguarda la possibilità di mettere assieme le spiegazioni meccaniciste e computazionaliste con quelle dinamiche. Il secondo riguarda i cambiamenti relativi alla nozione di rappresentazione e al suo impiego (con particolare attenzione all’elaborazione predittiva radicale di Andy Clark). _Parole chiave_: Continuum dei generi rappresentazionali;_ _Elaborazione predittiva; Enattivismo; Tesi della cognizione incarnata radicale; Rappresentazionalismo. (shrink)

Psychology is the study of thinking, and cognitive science is the interdisciplinary investigation of mind and intelligence that also includes philosophy, artificial intelligence, neuroscience, linguistics, and anthropology. In these investigations, many philosophical issues arise concerning methods and central concepts. The Handbook of Philosophy of Psychology and Cognitive Science contains 16 essays by leading philosophers of science that illuminate the nature of the theories and explanations used in the investigation of minds. Topics discussed include representation, mechanisms, reduction, (...) perception, consciousness, language, emotions, neuroscience, and evolutionary psychology. Key Features - Comprehensive coverage of philosophy of psychology and cognitive science - Distinguished contributors: leading philosophers in this area - Contributions closely tied to relevant scientific research. (shrink)

We discuss robotic art, emotion in robotic art, and compassion in the philosophy of art. We discuss a particular animated artwork, survivor, the walking chair, symbolising survivors of landmine blasts, learning to use crutches, and maimed emotionally as well as physically. Its control incorporates mutual relations between very rudimentary representations of distinct emotions. This artwork is intended for sensitising viewers to the horror experienced by those who survive, and those who don’t. We can only give a small sample, here, (...) of the reactions of viewers on various occasions when survivor was exhibited. Regardless of how much which pertains to human mental functions the tool embodies or doesn’t, it is the effect on the human perceivers which matters most to us, and enables us to understand something more about human cognition. Arguably this project is instructive in respect of the ethical-social implications of the synthetic method, i.e. the construction of inorganic systems in order to understand autonomous intentional action; in this project, the latter pertains to the humans involved. (shrink)

We present a longitudinal computational study on the connection between emotional and amodal word representations from a developmental perspective. In this study, children's and adult word representations were generated using the latent semantic analysis (LSA) vector space model and Word Maturity methodology. Some children's word representations were used to set a mapping function between amodal and emotional word representations with a neural network model using ratings from 9‐year‐old children. The neural network was trained and validated in the child semantic space. (...) Then, the resulting neural network was tested with adult word representations using ratings from an adult data set. Samples of 1210 and 5315 words were used in the child and the adult semantic spaces, respectively. Results suggested that the emotional valence of words can be predicted from amodal vector representations even at the child stage, and accurate emotional propagation was found in the adult word vector representations. In this way, different propagative processes were observed in the adult semantic space. These findings highlight a potential mechanism for early verbal emotional anchoring. Moreover, different multiple linear regression and mixed‐effect models revealed moderation effects for the performance of the longitudinal computational model. First, words with early maturation and subsequent semantic definition promoted emotional propagation. Second, an interaction effect between age of acquisition and abstractness was found to explain model performance. The theoretical and methodological implications are discussed. (shrink)

There are two primary philosophical approaches to examining the relationship between human bodies and political bodies. The first, reflected in traditional political theory on the body politic, is concerned with the question of how individuals aggregate into functioning or malfunctioning collectives—how singular citizen bodies come to constitute wider political entities. The second approach, maturing later in 20th century social and political philosophy, considers the opposite relation: instead of evaluating how the body politic emerges from the bottom-up, it focuses on (...) how bodies become politicized from the top-down. This, more sociological, perspective explores how human bodies are disciplined and learn to self-discipline into particular physical forms and functions. Dominant ideologies can infiltrate the bodies of adherents, and the task of the social critic or political philosopher is to delineate how, why, where, and when political structures shape the minds and bodies of citizens, as well as whether the effects are coercive, destructive, or liberatory. I will argue that a political philosophy of mind cannot flourish without attention to the cognitive science of ideologies. Until recently there has been little serious dialogue between biology and political philosophy, partly due to disciplinary balkanization and mostly because of the infancy of empirical biopolitics, the science of how cognitive and neurobiological processes are molded by political ideologies. I will suggest that attending to the emerging science of ideological cognition can allow us to build a stronger, more compelling, and provocative thesis on the mind-shaping consequences of immersion in ideologies than is possible with conceptual tools alone. (shrink)

Embodied cognition is one of the foremost areas of study and research in philosophy of mind, philosophy of psychology and cognitive science. The Routledge Handbook of Embodied Cognition is an outstanding guide and reference source to the key philosophers, topics and debates in this exciting subject and essential reading for any student and scholar of philosophy of mind and cognitive science. Comprising over thirty chapters by a team of international contributors, the Handbook is divided into (...) six parts: Historical Underpinnings Perspectives on Embodied Cognition Applied Embodied Cognition: Perception, Language and Reasoning Applied Embodied Cognition: Social and Moral Cognition and Emotion Applied Embodied Cognition: Memory, Attention and Group Cognition Meta-Topics. The early chapters of the Handbook cover empirical and philosophical foundations of embodied cognition, focusing on Gibsonian, phenomenological and cybernetic approaches. Subsequent chapters cover additional, important themes common to work in embodied cognition, incuding embedded , extended and enactive cognition as well as chapters on embodied cognition and empirical research in perception, language, reasoning, social and moral cognition, emotion, consciousness, memory and learning and development. (shrink)

A widespread assumption in experimental comparative cognition is that, barring compelling evidence to the contrary, the default hypothesis should postulate the simplest cognitive ontology consistent with the animal’s behavior. I call this assumption the principle of cognitive simplicity . In this essay, I show that PoCS is pervasive but unjustified: a blanket preference for the simplest cognitive ontology is not justified by any of the available arguments. Moreover, without a clear sense of how cognitive ontologies (...) are to be carved up at the joints—and which tools are appropriate for the job—PoCS rests on shaky conceptual ground. (shrink)

_The Routledge Companion to Philosophy of Psychology, Second Edition_ is an invaluable guide and major reference source to the major topics, problems, concepts and debates in philosophy of psychology and is the first companion of its kind. A team of renowned international contributors provide forty-nine chapters organised into six clear parts: Historical background to Philosophy of Psychology Psychological Explanation Cognition and Representation The biological basis of psychology Perceptual Experience Personhood. _The Companion_ covers key topics such as the (...) origins of experimental psychology; folk psychology; behaviorism and functionalism; philosophy, psychology and neuroscience; the language of thought, modularity, nativism and representational theories of mind; consciousness and the senses; dreams emotion and temporality; personal identity and the philosophy of psychopathology. For the_ second edition_ many of the current chapters have been updated, and seven new chapters added on important new topics such predictive processing, comparative cognition, learning, and group cognition, as well as a new introductory chapter by the editors on the demarcation between philosophy and psychology. Essential reading for all students of philosophy of mind, science and psychology, _The Routledge Companion to Philosophy of Psychology _will also be of interest to anyone studying psychology and its related disciplines. (shrink)

The emerging contemporary natural philosophy provides a common ground for the integrative view of the natural, the artificial, and the human-social knowledge and practices. Learning process is central for acquiring, maintaining, and managing knowledge, both theoretical and practical. This paper explores the relationships between the present advances in understanding of learning in the sciences of the artificial, natural sciences, and philosophy. The question is, what at this stage of the development the inspiration from nature, specifically its computational models (...) such as info-computation through morphological computing, can contribute to machine learning and artificial intelligence, and how much on the other hand models and experiments in machine learning and robotics can motivate, justify, and inform research in computational cognitive science, neurosciences, and computing nature. We propose that one contribution can be understanding of the mechanisms of ‘learning to learn’, as a step towards deep learning with symbolic layer of computation/information processing in a framework linking connectionism with symbolism. As all natural systems possessing intelligence are cognitive systems, we describe the evolutionary arguments for the necessity of learning to learn for a system to reach humanlevel intelligence through evolution and development. The paper thus presents a contribution to the epistemology of the contemporary philosophy of nature. (shrink)

Does recent work in the cognitive sciences have any implications for theories or methods employed within the philosophy of science itself? It does if one takes a naturalistic approach in which understanding the nature of representations or judgments of representational success in science requires reference to the cognitive capacities or activities of individual scientists. Here I comment on recent contributions from three areas of the cognitive sciences represented respectively by Paul Churchland's neurocomputational perspective, Nancy Nersessian's (...) class='Hi'>cognitive-historical approach, and Paul Thagard's computational philosophy of science. The main general conclusion is that we need to replace traditional linguistic notions of representation in science. (shrink)

Abstract: Research on the nature and varieties of the format of cognitive representations in philosophy and cognitive science have been partly shaped by analogies to external, public representations. In this paper, we argue that relying on such analogies contributes to framing the question of cognitive formats in problematic, potentially counterproductive ways. We show that cognitive and public representations differ in many of their central features, making analogies to public representations ill-suited to improving our understanding of (...) cognitive formats. We illustrate these points by examining two case studies in which analogies to public representations may have had a negative impact on research: the 80’s-90’s debate about compositionality and cognitive architecture between symbolicists and connectionists; and contemporary discussions about the nature of visual demonstratives. Finally, we outline an alternative, computational account of formats that does not share the shortcomings of appeal to public representations. (shrink)

Computation and philosophy intersect three times in this essay. Computation is considered as an object, as a method, and as a model used in a certain line of philosophical inquiry concerning the relation of mind to matter. As object, the question considered is whether computation and related notions of mental representation constitute the best ways to conceive of how physical systems give rise to mental properties. As method and model, the computational techniques of artificial life and embodied evolutionary connectionism (...) are used to conduct prosthetically enhanced thought experiments concerning the evolvability of mental representations. Central to this essay is a discussion of the computer simulation and evolution of three‐dimensional synthetic animals with neural network controllers. The minimally cognitive behavior of finding food by exhibiting positive chemotaxis is simulated with swimming and walking creatures. These simulations form the basis of a discussion of the evolutionary and neurocomputational bases of the incremental emergence of more complex forms of cognition. Other related work has been used to attack computational and representational theories of cognition. In contrast, I argue that the proper understanding of the evolutionary emergence of minimally cognitive behaviors is computational and representational through and through. (shrink)

Abstract: Research on the nature and varieties of the format of cognitive representations in philosophy and cognitive science have been partly shaped by analogies to external, public representations. In this paper, we argue that relying on such analogies contributes to framing the question of cognitive formats in problematic, potentially counterproductive ways. We show that cognitive and public representations differ in many of their central features, making analogies to public representations ill-suited to improving our understanding of (...) cognitive formats. We illustrate these points by examining two case studies in which analogies to public representations may have had a negative impact on research: the 80’s-90’s debate about compositionality and cognitive architecture between symbolicists and connectionists; and contemporary discussions about the nature of visual demonstratives. Finally, we outline an alternative, computational account of formats that does not share the shortcomings of appeal to public representations. (shrink)

Cognitive science of religion is a fairly young discipline with the aim of studying the cognitive basis of religious belief. Despite the great variation in theories a number of common features can be distilled and most theories can be situated in the cognitivist and modular paradigm. In this paper, I investigate how cognitive science of religion (CSR) can be made better by insights from John Dewey. I chose Dewey because he offered important insights in cognition long before (...) there was cognitive science and because his ideas are influential in the recent enactivist movement. The relevance of Dewey’s thought for CSR will be discussed under three headers: embodiedness, embeddedness and anti-modularity. I focus on these points because embodiedness and embeddedness are important features of Dewey’s view on cognition and because his ideas are useful for criticizing modularity. I will first give a brief overview of the most influential theories in CSR. Then I will discuss how existing theories in CSR can be improved on the first two points and criticized on the third. (shrink)

Embodied cognition often challenges standard cognitive science. In this outstanding introduction, Lawrence Shapiro sets out the central themes and debates surrounding embodied cognition, explaining and assessing the work of many of the key figures in the field, including George Lakoff, Alva Noë, Andy Clark, and Arthur Glenberg. Beginning with an outline of the theoretical and methodological commitments of standard cognitive science, Shapiro then examines philosophical and empirical arguments surrounding the traditional perspective. He introduces topics such as dynamic systems (...) theory, ecological psychology, robotics, and connectionism, before addressing core issues in philosophy of mind such as mental representation and extended cognition. Including helpful chapter summaries and annotated further reading at the end of each chapter, _Embodied Cognition_ is essential reading for all students of philosophy of mind, psychology, and cognitive science. (shrink)

Belief in Psychology tackles the knotty problem of how to treat the propositional attitudes states such as beliefs, desires, hopes and fears within cognitive science. Jay Garfield asserts that the propositional attitudes can and must play useful theoretical roles in the science of the mind and stresses the importance of their social context in this sophisticated and original argument.Garfield proposes his own alternative to the apparent dilemma of either scrapping the propositional attitudes or of making room for them within (...) a dimly foreseen, futuristic cognitive science. He provides a characterization of the nature of propositional attitudes conceived as psychological states, and of their role in cognitive science. They must, he argues, be understood as relations between their bearers and their environments, including, in the case of persons, their social and linguistic environments. Understanding them in this way is consonant with current practice in empirical cognitive science and provides a philosophically useful analysis of mental representation.Along the way, Garfield discusses the relationship between the enterprise of science and our commonsense conception of ourselves and the world, and the ways in which this relation constrains our understanding of the propositional attitudes, and illuminates a realistic interpretation of a psychology of representational states and processes. Belief in Psychology is the only book that adopts such a view, and it is unique in providing a sustained critique of eliminativism, instrumentalism, and computational individualism - the main competing proposals within philosophy of cognitive science for eliminating or reconciling propositional attitudes.Jay Garfield is Associate Professor of Philosophy in the School of Communications and Cognitive Science at Hampshire College and a co-director of the University of Massachusetts Cognitive Science Institute. He is a co-author of Cognitive Science: An Introduction and editor of Modularity in Knowledge Representation and Natural Language Understanding, both Bradford books. A Bradford Book. (shrink)

The aim of this chapter is to discuss the central role of the notion of " habit " (Gewohnheit) in Hegel's theory of " embodiment " (Verleiblichung) and to show that the philosophical outcome of the Anthropology is that habit, understood as a sensorimotor life form, is not only an enabling condition for there to be mindedness, but is more strongly an ontological constitutive condition of all its levels of manifestation. Moreover, I will argue that Hegel's approach somehow makes a (...) model of embodied cognition available which offers a unified account of the three main senses of embodiment understood as both a physiological, a functional, and a phenomenological process. In this sense Hegel's approach to habit can make a useful contribution to the contemporary debate on embodiment in philosophy of mind, the cognitive sciences, and action theory. For a long time habit in 20th century philosophy and science has been mostly read in a negative way, identified with mechanical and repetitive routine. The reconstruction of Hegel’s approach is particularly relevant here and can fruitfully contribute to this discussion, since it offers us not only a model that assigns to habit a positive constitutive role in the formation of embodied human mindedness but which also overcomes the dualism between habitual motor routine and intentional activities that is prevalent nowadays in the cognitive sciences and in action theory, and allows for some sense of natural agency as belonging to animal life. Furthermore, Hegel’s approach cuts across the great divide between associationist and holistic approaches to habit that has for a long time dominated the philosophical debate on habit and still shapes the current opposition between classical cognitive science and embodied cognitive science. (shrink)

This book deals with the complicated realm of metaphor, an enigma deeply embedded in language and cognition. There has been much discussion of metaphor in the past, but it was characterized by a certain fragmentation and lacked interdisciplinarity. In this field of study, the dominance of Cognitive Linguistics, epitomized by the Conceptual Metaphor Theory of George Lakoff and Mark Johnson, has caused the marginalization of alternative perspectives. To fill this gap, this book embarks on an interdisciplinary journey, inviting different (...) theoretical frameworks to engage in a fruitful dialog. It navigates the labyrinth of theories and illuminates the nuanced facets of metaphor. At the center of this exploration are three central questions: whether metaphor belongs to the realm of style or thought, the intricate interplays between literal and metaphorical meanings and the integration of propositional and non-propositional elements in the construction of metaphorical meaning. Through a careful blend of historical analysis and contemporary hypotheses, the book unravels the complexities of metaphor, considering its evolution across the centuries and the myriad interpretations it evokes. By bringing together work from different fields, it ultimately shows that a definition of metaphor is theory-dependent and that metaphor is not a natural kind, but a complex and multifaceted philosophical concept whose study requires a multi-dimensional approach that transcends narrow theoretical boundaries. In this way, the book explores these considerations’ most important philosophical consequences and offers new insights into this fundamental aspect of human language. (shrink)

In our daily lives we conceive of our surroundings as an objectively given reality. The world is perceived through our senses, and ~hese provide us, so we believe, with a faithful image of the world. But occ~ipnally we are forced to realize that our senses deceive us, e. g., by illusions. For a while it was believed that the sensation of color is directly r~lated to the frequency of light waves, until E. Land (the inventor of the polaroid camera) showed (...) in detailed experiments that our perception of, say, a colored spot depends on the colors of its surrounding. On the other hand, we may experience hallucinations or dreams as real. Quite evidently, the relationship between the "world" and our "brain" is intricate. Another strange problem is the way in which we perceive time or the "Now". Psychophysical experiments tell us that the psychological "Now" is an extended period of time in the sense of physics. The situation was made still more puzzling when, in the nineteen-twenties, Heisenberg and others realized that, by observing processes in the microscopic world of electrons and other elementary particles, we strongly interfere with that world. The outcome of experiments - at least in general - can only be predicted statistically. What is the nature ofthis strange relationship between "object" and "observer"? This is another crucial problem of the inside-outside or endo-exo dichotomy. (shrink)

Several philosophers have expressed concerns with some recent uses of the term ‘cognition’. Underlying a number of these concerns are claims that cognition is only located in the brain and that no compelling case has been made to use ‘cognition’ in any way other than as a cause of behavior that is representational in nature. These concerns center on two primary misapprehensions: First, that some adherents of dynamical cognitive science think DCS implies the thesis of extended cognition and the (...) rejection of representation, and second, that cognition is mistakenly equated with behavior. We make three points in response to these claims: First, there is no thoroughly entrenched conception of cognition as distinct from behavior that is being illegitimately disregarded. Second, we present Shapiro’s exposition of dynamical systems theory as revealing a misunderstanding of the way that dynamical models are used in explanations of cognition and related phenomena. Accordingly, a proper conception of DCS’s methods facilitates an appreciation of extended cognition as a legitimate phenomenon of scientific investigation. Finally, we demonstrate that practicing cognitive scientists and psychologists are far more pluralistic in the phenomena they apply ‘cognition’ to than is suggested by some. At the heart of our disagreement with these concerned folks is that although we think it likely that some cognitive phenomena are representational, non-extended, and only in-between the ears, we also think there are good conceptual and empirical reasons to believe that many cognitive phenomena are non-representational, extended, and not confined to the brain. (shrink)

This collection of 17 articles offers an overview of the philosophical activities of a group of philosophers (who have been) working at the Groningen University. The meta-methodological assumption which unifies the research of this group, holds that there is a way to do philosophy which is a middle course between abstract normative philosophy of science and descriptive social studies of science. On the one hand it is argued with social studies of science that philosophy should take notice (...) of what scientists actually do. On the other hand, however, it is claimed that philosophy can and should aim to reveal cognitive patterns in the processes and products of scientific and common sense knowledge. Since it is thought that those patterns can function as guidelines in new research and/or in research in other disciplines, philosophy can nevertheless hold on to the normative aim which is characteristic of 'classical' philosophy of science. Compared to this common assumption, there is a diversity of subjects. Some papers deal with general problems of science, knowledge, cognition and argumentation, others with topics relating to foundational problems of particular sciences. Therefore this volume is of interest to philosophers of science, to philosophers of knowledge and argumentation in general, to philosophers of mind, as well as for scientists working in the physical and applied sciences, biology, psychology and economy who are interested in the foundations of their disciplines. After a foreword by Leszek Nowak and a general introduction by the editors, the book is divided into four parts, with special introductions. - I: Conceptual Analysis in Service of Various Research Programmes (Henk Zandvoort, Rein Vos, Rick Looijen, Gerben Stavenga, Renée Dalitz); - II: The Logic of the Evaluation of Arguments, Hypotheses, Default Rules, and Interesting Theorems (Erik Krabbe, Theo Kuipers, Alfons Keupink, Maarten Janssen/Yao-Hua Tan, Bert Hamminga); - III: Three Challenges to the Truth Approximation Programme (Sjoerd Zwart, Hinne Hettema/Theo Kuipers, Roberto Festa); - IV: Explicating Psychological Intuitions (Anne-Ruth Mackor, Jeanne Peijnenburg, Lex Guichard, Michel ter Hark). The Groningen research group was recently qualified, by an official international assessment committee, as one of the best philosophy research groups in the Netherlands. (shrink)

Much of cognitive science is committed to the modular approach to the study of cognition. The core of this approach consists of a pair of assumptions - the anatomical and the functional modularity assumptions - which motivate two kinds of inference: the anatomical and the functional modularity inferences. The legitimacy of both of these inferences has been strongly challenged, a situation that has had surprisingly little impact on most theorizing in the field. Following the introduction of an important, yet (...) rarely made, distinction between two functional concepts - the distinction between cognitive working and cognitive role - this paper analyses these kinds of inference, and refocuses the attention on new aspects of their main limitations. It is argued that both the anatomical and functional modularity inferences can, and do, operate in three distinct modes in contemporary cognitive science, and that seeing this is essential to understanding both the power and the limitations of these methodological tools. (shrink)

Philosophical questions surrounding skill and expertise can be traced back as far as Ancient Greece, China, and India. In the twentieth century skilled action was an important factor in the work of phenomenologists such as Heidegger and Merleau-Ponty and analytic philosophers including Gilbert Ryle. However, as a subject in its own right it has, until now, remained largely in the background. The Routledge Handbook of Philosophy of Skill and Expertise is an outstanding reference source and the first major collection (...) of its kind, reflecting the explosion of interest in the topic recent years. Comprising thirty-nine chapters written by leading international contributors, the Handbook is organised into six clear parts: Skill in the History of Philosophy Skill in Epistemology Skill, intelligence, and agency Skill in Perception, Imagination, and Emotion Skill, Language, and, Social Cognition Skill and Expertise in Normative Philosophy. Essential reading for students and researchers in philosophy of mind and psychology, epistemology and ethics, The Routledge Handbook of Philosophy of Skill and Expertise is also suitable for those in related disciplines such as social psychology and cognitive science. It is also relevant to those who are interested in conceptual issues underlying skill and expertise in fields such as sport, the performing arts, and medicine. (shrink)

This work represents an attempt to stake out the landscape for dynamicism based on a radical dismissal of the information-processing paradigm that dominates the philosophy of cognitive science. In Section 2, after setting up the basic toolkit of a theory of minimal representationalism, I introduce the central tenets of dynamic systems theory (DST) by discussing recent research in the dynamics of embodiment (Thelen et al. [2001]) in the perseverative-reaching literature. A recent proposal on the dynamics of representation--the dynamic (...) field approach (Spencer and Schöner [2003])-- according to which the alleged representational gap between DST and representational theories of cognition needs to be bridged in order to explain higher-order cognitive activity will then be reviewed. In Section 3 I shall argue that Spencer and Schöner's attempt to bridge the representational gap may jeopardize the whole (antirepresentationalist) spirit of the DST project. In order to show why, I shall introduce the key concepts of "reliability of environment" and "primagenesis", and argue that DST can account for de-coupled, offline cognitive activity with no need of positing representational resources. Conclusions and directions for future research will follow. (shrink)

Summarizes and illuminates two decades of research Gathering important papers by both philosophers and scientists, this collection illuminates the central themes that have arisen during the last two decades of work on the conceptual foundations of artificial intelligence and cognitive science. Each volume begins with a comprehensive introduction that places the coverage in a broader perspective and links it with material in the companion volumes. The collection is of interest in many disciplines including computer science, linguistics, biology, information science, (...) psychology, neuroscience, iconography, and philosophy. Examines initial efforts and the latest controversies The topics covered range from the bedrock assumptions of the computational approach to understanding the mind, to the more recent debates concerning cognitive architectures, all the way to the latest developments in robotics, artificial life, and dynamical systems theory. The collection first examines the lineageof major research programs, beginning with the basic idea of machine intelligence itself, then focuses on specific aspects of thought and intelligence, highlighting the much-discussed issue of consciousness, the equally important, but less densely researched issue of emotional response, and the more traditionally philosophical topic of language and meaning. Provides a gamut of perspectives The editors have included several articles that challenge crucial elements of the familiar research program of cognitive science, as well as important writings whose previous circulation has been limited. Within each volume the papers are organized to reflect a variety of research programs and issues. The substantive introductions that accompany each volume further organize the material and provide readers with a working sense of the issues and the connection between articles. (shrink)