The relationships between captive primates and their caregivers are critical ones and can affect animal welfare. This study tested the effect of caregivers using chimpanzee behaviors or not, in daily interactions with captive chimpanzees. In the Chimpanzee Behavior condition the caregiver presented chimpanzee behaviors. In the Human Behavior condition the caregiver avoided using chimpanzee behaviors. The chimpanzees had individual patterns of response and had significant differences in their responses to each condition. These data are compared to a similar study conducted (...) at The Zoo Northwest Florida. Both groups of chimpanzees were sensitive and responsive to the differences in conditions. These data suggest ways to improve animal welfare. (shrink)

How should we determine the distribution of psychological traits—such as Theory of Mind, episodic memory, and metacognition—throughout the Animal kingdom? Researchers have long worried about the distorting effects of anthropomorphic bias on this comparative project. A purported corrective against this bias was offered as a cornerstone of comparative psychology by C. Lloyd Morgan in his famous “Canon”. Also dangerous, however, is a distinct bias that loads the deck against animal mentality: our tendency to tie the competence criteria for cognitive capacities (...) to an exaggerated sense of typical human performance. I dub this error “anthropofabulation”, since it combines anthropocentrism with confabulation about our own prowess. Anthropofabulation has long distorted the debate about animal minds, but it is a bias that has been little discussed and against which the Canon provides no protection. Luckily, there is a venerable corrective against anthropofabulation: a principle offered long ago by David Hume, which I call “Hume’s Dictum”. In this paper, I argue that Hume’s Dictum deserves a privileged place next to Morgan’s Canon in the methodology of comparative psychology, illustrating my point through a discussion of the debate over Theory of Mind in nonhuman animals. (shrink)

Despite pronouncements about the inevitable diffusion of artificial intelligence and autonomous technologies, in practice, it is human behavior, not technology in a vacuum, that dictates how technology seeps into—and changes—societies. To better understand how human preferences shape technological adoption and the spread of AI-enabled autonomous technologies, we look at representative adult samples of US public opinion in 2018 and 2020 on the use of four types of autonomous technologies: vehicles, surgery, weapons, and cyber defense. By focusing on these four diverse (...) uses of AI-enabled autonomy that span transportation, medicine, and national security, we exploit the inherent variation between these AI-enabled autonomous use cases. We find that those with familiarity and expertise with AI and similar technologies were more likely to support all of the autonomous applications we tested (except weapons) than those with a limited understanding of the technology. Individuals that had already delegated the act of driving using ride-share apps were also more positive about autonomous vehicles. However, familiarity cut both ways; individuals are also less likely to support AI-enabled technologies when applied directly to their life, especially if technology automates tasks they are already familiar with operating. Finally, we find that familiarity plays little role in support for AI-enabled military applications, for which opposition has slightly increased over time. (shrink)

The partnership between a visually impaired runner (VIR) and sighted guide runner (SGR) constitutes a unique sporting dyad. The quality of these partnerships may profoundly impact the sport and physical activity (PA) experiences of visually impaired (VI) people, yet little is known about the experiences of VIRs and SGRs. This study aimed to explore qualitatively the running experiences of VIRs and SGRs. Five VIRs and five SGRs took part in in-depth, semi-structured interviews (M length = 62 minutes) exploring their running (...) journeys and perceptions of running-together. We analysed the dataset using reflexive thematic analysis. Four themes were generated, comprising: becoming and being a running team; a multifaceted intercorporeal experience; running-together promotes change; and disabling social interaction within running. Participants were generally positive about their running experiences, highlighting a range of benefits derived from the activity. Nevertheless, some examples of barriers to participation were also identified. Although the positive experiences described by the runners suggest guided running holds promise to increase PA in VI people, our findings illustrate the importance of directing attention towards developing high-quality relationships between VIRs and guides, alongside reinforcing the need for further change to promote inclusivity. (shrink)

In this centennial year of the death of Josiah Royce it is appropriate to explore the lines of influence between Royce as a teacher and one of his students, C.I. Lewis. First, Lewis himself acknowledged an affinity between his ‘conceptual pragmatism’ and Royce’s ‘absolute pragmatism’. Secondly, Lewis also acknowledged Royce’s influence in terms of his explorations of alternative logics. Thirdly, Lewis was called the “most influential American thinker of his generation” and a link between the philosophers of the classic period (...) of the Harvard philosophy department and those of the second half of the twentieth century. This suggests an exploration of Royce’s influence forward into... (shrink)

Suddendorf & Corballis (S&C) propose that the capacity to flexibly forsee the future was a critical step in human evolution and is accomplished by a set of component processes that can be likened to a theater production. Understanding the brain-bases of these functions may help to clarify the hypothesized component processes, inform us of how and when they are used adaptively, and also provide empirical ways of exploring to what degree these abilities exist and are implemented similarly (or differently) across (...) species. (shrink)

I believe that the long-neglected ideas on science and scientific method of Charles Sanders Peirce and Josiah Royce can illuminate some of the current attacks on science that have surfaced: misconduct and fraud in science and anti-scientism or the "new cynicism." In addition, Royce and Peirce offer insights relevant to the ferment in contemporary philosophy of science around the various forms of pluralism advocated by a number of philosophers (see Kellert, Longino, and Waters). "Pluralism" is the view that "plurality in (...) science possibly represents an ineliminable character of scientific inquiry and knowledge (about at least some phenomena) . . . and that analysis of metascientific concepts (like theory .. (shrink)

The 2015 Paris Agreement set a global warming limit of 2°C above preindustrial levels. Corporations play an important role in achieving this objective, and methods have recently been developed to map global climate targets to specific industries, and individual corporations within those industries. In this article, we assess whether Sustainability ratings capture corporate performance in meeting the 2°C target. We analyze nine rating schemes used by investors and three commonly used in academic studies. Most rating schemes do consider corporate greenhouse (...) gas emissions in their analysis, whereas only a minority scale emissions by factors that have the potential to allow benchmarking against science-based targets. None take the final step of mapping climate indicators against the 2°C target. Furthermore, we find a lack of consistency in the climate change ratings of the databases used in academic studies. These results are concerning in the context of being able to meet global climate change goals. (shrink)

A novel Protocol Ethics Tool Kit (‘Ethics Tool Kit’) has been developed by a multi-stakeholder group of the Multi-Regional Clinical Trials Center of Brigham and Women9s Hospital and Harvard. The purpose of the Ethics Tool Kit is to facilitate effective recognition, consideration and deliberation of critical ethical issues in clinical trial protocols. The Ethics Tool Kit may be used by investigators and sponsors to develop a dedicated Ethics Section within a protocol to improve the consistency and transparency between clinical trial (...) protocols and research ethics committee reviews. It may also streamline ethics review and may facilitate and expedite the review process by anticipating the concerns of ethics committee reviewers. Specific attention was given to issues arising in multinational settings. With the use of this Tool Kit, researchers have the opportunity to address critical research ethics issues proactively, potentially speeding the time and easing the process to final protocol approval. (shrink)

Diphtheria is an acute toxin-mediated superficial infection of the respiratory tract or skin caused by the aerobic gram-positive bacillus Corynebacterium diphtheriae. The epidemiology of infection and clinical manifestations of the disease vary in different parts of the world. Historical accounts of diphtheria epidemics have been described in many parts of the world since antiquity. Developed in the late 19th century, the diphtheria antitoxin played a pivotal role in the history of public health and vaccinology prior to the advent of the (...) diphtheria-tetanus toxoids and acellular pertussis vaccine. One of the most significant demonstrations of the importance of DAT was its use in the 1925 diphtheria epidemic of Nome, Alaska. Coordinated emergency delivery of this life-saving antitoxin by dog-sled relay in the harshest of conditions has left a profound legacy in the annals of vaccinology and public health. Lead dogs Balto and Togo, and the dog-led antitoxin run of 1925 represent a dynamic illustration of the contribution made by non-human species towards mass immunization in the history of vaccinology. This unique example of cooperative interspecies fellowship and collaboration highlights the importance of the human-animal bond in the one-health initiative. (shrink)

Introduction: Schools have become a primary setting for providing mental health care to youths in the U.S. School-based interventions have proliferated, but their effects on mental health and academic outcomes remain understudied. In this study we will implement and evaluate the effects of a flexible multidiagnostic treatment called Modular Approach to Therapy for Children with Anxiety, Depression, Trauma, or Conduct Problems on students' mental health and academic outcomes.Methods and Analysis: This is an assessor-blind randomized controlled effectiveness trial conducted across five (...) school districts. School clinicians are randomized to either MATCH or usual care treatment conditions. The target sample includes 168 youths referred for mental health services and presenting with elevated symptoms of anxiety, depression, trauma, and/or conduct problems. Clinicians randomly assigned to MATCH or UC treat the youths who are assigned to them through normal school referral procedures. The project will evaluate the effectiveness of MATCH compared to UC on youths' mental health and school related outcomes and assess whether changes in school outcomes are mediated by changes in youth mental health.Ethics and Dissemination: This study was approved by the Harvard University Institutional Review Board. We plan to publish the findings in peer-reviewed journals and present them at academic conferences.Clinical Trial Registration:ClinicalTrials.gov ID: NCT02877875. Registered on August 24, 2016. (shrink)

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 provides a framework for thinking about foundational philosophical questions surrounding machine learning as an approach to artificial intelligence. Specifically, it links recent breakthroughs in deep learning to classical empiricist philosophy of mind. In recent assessments of deep learning's current capabilities and future potential, prominent scientists have cited historical figures from the perennial philosophical debate between nativism and empiricism, which primarily concerns the origins of abstract knowledge. These empiricists were generally faculty psychologists; that is, they argued that the active (...) engagement of general psychological faculties-such as perception, memory, imagination, attention, and empathy-enables rational agents to extract abstract knowledge from sensory experience. This book explains a number of recent attempts to model roles attributed to these faculties in deep neural network based artificial agents by appeal to the faculty psychology of philosophers such as Aristotle, Ibn Sina (Avicenna), John Locke David Hume, William James, and Sophie de Grouchy. It illustrates the utility of this interdisciplinary connection by showing how it can provide benefits to both philosophy and computer science: computer scientists can continue to mine the history of philosophy for ideas and aspirational targets to hit on the way to more robustly rational artificial agents, and philosophers can see how some of the historical empiricists' most ambitious speculations can be realized in specific computational systems. (shrink)

Deep learning is currently the most prominent and widely successful method in artificial intelligence. Despite having played an active role in earlier artificial intelligence and neural network research, philosophers have been largely silent on this technology so far. This is remarkable, given that deep learning neural networks have blown past predicted upper limits on artificial intelligence performance—recognizing complex objects in natural photographs and defeating world champions in strategy games as complex as Go and chess—yet there remains no universally accepted explanation (...) as to why they work so well. This article provides an introduction to these networks as well as an opinionated guidebook on the philosophical significance of their structure and achievements. It argues that deep learning neural networks differ importantly in their structure and mathematical properties from the shallower neural networks that were the subject of so much philosophical reflection in the 1980s and 1990s. The article then explores several different explanations for their success and ends by proposing three areas of inquiry that would benefit from future engagement by philosophers of mind and science. (shrink)

In artificial intelligence, recent research has demonstrated the remarkable potential of Deep Convolutional Neural Networks (DCNNs), which seem to exceed state-of-the-art performance in new domains weekly, especially on the sorts of very difficult perceptual discrimination tasks that skeptics thought would remain beyond the reach of artificial intelligence. However, it has proven difficult to explain why DCNNs perform so well. In philosophy of mind, empiricists have long suggested that complex cognition is based on information derived from sensory experience, often appealing to (...) a faculty of abstraction. Rationalists have frequently complained, however, that empiricists never adequately explained how this faculty of abstraction actually works. In this paper, I tie these two questions together, to the mutual benefit of both disciplines. I argue that the architectural features that distinguish DCNNs from earlier neural networks allow them to implement a form of hierarchical processing that I call “transformational abstraction”. Transformational abstraction iteratively converts sensory-based representations of category exemplars into new formats that are increasingly tolerant to “nuisance variation” in input. Reflecting upon the way that DCNNs leverage a combination of linear and non-linear processing to efficiently accomplish this feat allows us to understand how the brain is capable of bi-directional travel between exemplars and abstractions, addressing longstanding problems in empiricist philosophy of mind. I end by considering the prospects for future research on DCNNs, arguing that rather than simply implementing 80s connectionism with more brute-force computation, transformational abstraction counts as a qualitatively distinct form of processing ripe with philosophical and psychological significance, because it is significantly better suited to depict the generic mechanism responsible for this important kind of psychological processing in the brain. (shrink)

The last 5 years have seen a series of remarkable achievements in deep-neural-network-based artificial intelligence research, and some modellers have argued that their performance compares favourably to human cognition. Critics, however, have argued that processing in deep neural networks is unlike human cognition for four reasons: they are (i) data-hungry, (ii) brittle, and (iii) inscrutable black boxes that merely (iv) reward-hack rather than learn real solutions to problems. This article rebuts these criticisms by exposing comparative bias within them, in the (...) process extracting some more general lessons that may also be useful for future debates. (shrink)

Our prominent definitions of cognition are too vague and lack empirical grounding. They have not kept up with recent developments, and cannot bear the weight placed on them across many different debates. I here articulate and defend a more adequate theory. On this theory, behaviors under the control of cognition tend to display a cluster of characteristic properties, a cluster which tends to be absent from behaviors produced by non-cognitive processes. This cluster is reverse-engineered from the empirical tests that comparative (...) psychologists use to determine whether a behavior was generated by a cognitive or a non-cognitive process. Cognition should be understood as the natural kind of psychological process that non-accidentally exhibits the properties assessed by these tests (as well as others we have not yet discovered). Finally, I review two plausible neural accounts of cognition's underlying mechanisms?one based in localization of function to particular brain regions and another based in the more recent distributed networks approach to neuroscience?which would explain why these properties non-accidentally cluster. While this notion of cognition may be useful for a number of debates, I here focus on its application to a recent crisis over the distinction between cognition and association in comparative psychology. (shrink)

A surge of empirical research demonstrating flexible cognition in animals and young infants has raised interest in the possibility of rational decision‐making in the absence of language. A venerable position, which I here call “Classical Inferentialism”, holds that nonlinguistic agents are incapable of rational inferences. Against this position, I defend a model of nonlinguistic inferences that shows how they could be practically rational. This model vindicates the Lockean idea that we can intuitively grasp rational connections between thoughts by developing the (...) Davidsonian idea that practical inferences are at bottom categorization judgments. From this perspective, we can see how similarity‐based categorization processes widely studied in human and animal psychology might count as practically rational. The solution involves a novel hybrid of internalism and externalism: intuitive inferences are psychologically rational (in the explanatory sense) given the intensional sensitivity of the similarity assessment to the internal structure of the agent's reasons for acting, but epistemically rational (in the justificatory sense) given an ecological fit between the features matched by that assessment and the structure of the agent's environment. The essay concludes by exploring empirical results that show how nonlinguistic agents can be sensitive to these similarity assessments in a way that grants them control over their opaque judgments. (shrink)

Philosophers and cognitive scientists have worried that research on animal mind-reading faces a ‘logical problem’: the difficulty of experimentally determining whether animals represent mental states (e.g. seeing) or merely the observable evidence (e.g. line-of-gaze) for those mental states. The most impressive attempt to confront this problem has been mounted recently by Robert Lurz. However, Lurz' approach faces its own logical problem, revealing this challenge to be a special case of the more general problem of distal content. Moreover, participants in this (...) debate do not agree on criteria for representation. As such, future debate should either abandon the representational idiom or confront underlying semantic disagreements. (shrink)

A surge of empirical research demonstrating flexible cognition in animals and young infants has raised interest in the possibility of rational decision-making in the absence of language. A venerable position, which I here call “Classical Inferentialism”, holds that nonlinguistic agents are incapable of rational inferences. Against this position, I defend a model of nonlinguistic inferences that shows how they could be practically rational. This model vindicates the Lockean idea that we can intuitively grasp rational connections between thoughts by developing the (...) Davidsonian idea that practical inferences are at bottom categorization judgments. From this perspective, we can see how similarity-based categorization processes widely studied in human and animal psychology might count as practically rational. The solution involves a novel hybrid of internalism and externalism: intuitive inferences are psychologically rational (in the explanatory sense) given the intensional sensitivity of the similarity assessment to the internal structure of the agent's reasons for acting, but epistemically rational (in the justificatory sense) given an ecological fit between the features matched by that assessment and the structure of the agent's environment. The essay concludes by exploring empirical results that show how nonlinguistic agents can be sensitive to these similarity assessments in a way that grants them control over their opaque judgments. (shrink)

The functionalist approach to kinds has suffered recently due to its association with law-based approaches to induction and explanation. Philosophers of science increasingly view nomological approaches as inappropriate for the special sciences like psychology and biology, which has led to a surge of interest in approaches to natural kinds that are more obviously compatible with mechanistic and model-based methods, especially homeostatic property cluster theory. But can the functionalist approach to kinds be weaned off its dependency on laws? Dan Weiskopf has (...) recently offered a reboot of the functionalist program by replacing its nomological commitments with a model-based approach more closely derived from practice in psychology. Roughly, Weiskopf holds that the natural kinds of psychology will be the functional properties that feature in many empirically successful cognitive models, and that those properties need not be localized to parts of an underlying mechanism. I here skeptically examine the three modeling practices that Weiskopf thinks introduce such non-localizable properties: fictionalization, reification, and functional abstraction. In each case, I argue that recognizing functional properties introduced by these practices as autonomous kinds comes at clear cost to those explanations’ counterfactual explanatory power. At each step, a tempting functionalist response is parochialism: to hold that the false or omitted counterfactuals fall outside the modeler’s explanatory aims, and so should not be counted against functional kinds. I conclude by noting the dangers this attitude poses to scientific disagreement, inviting functionalists to better articulate how the individuation conditions for functional kinds might outstrip the perspective of a single modeler. (shrink)

I here critique the application of the traditional, similarity-based account of natural kinds to debates in psychology. A challenge to such accounts of kindhood—familiar from the study of biological species—is a metaphysical phenomenon that I call ‘transitional gradation’: the systematic progression of slightly modified transitional forms between related candidate kinds. Where such gradation proliferates, it renders the selection of similarity criteria for kinds arbitrary. Reflection on general features of learning—especially on the gradual revision of concepts throughout the acquisition of expertise—shows (...) that even the strongest candidates for similarity-based kinds in psychology exhibit systematic transitional gradation. As a result, philosophers of psychology should abandon discussion of kindhood, or explore non-similarity based accounts. (shrink)

The application of digital humanities techniques to philosophy is changing the way scholars approach the discipline. This paper seeks to open a discussion about the difficulties, methods, opportunities, and dangers of creating and utilizing a formal representation of the discipline of philosophy. We review our current project, the Indiana Philosophy Ontology (InPhO) project, which uses a combination of automated methods and expert feedback to create a dynamic computational ontology for the discipline of philosophy. We argue that our distributed, expert-based approach (...) to modeling the discipline carries substantial practical and philosophical benefits over alternatives. We also discuss challenges facing our project (and any other similar project) as well as the future directions for digital philosophy afforded by formal modeling. (shrink)

The standard methodology of comparative psychology has long relied upon a distinction between cognition and ‘mere association’; cognitive explanations of nonhuman animals behaviors are only regarded as legitimate if associative explanations for these behaviors have been painstakingly ruled out. Over the last ten years, however, a crisis has broken out over the distinction, with researchers increasingly unsure how to apply it in practice. In particular, a recent generation of psychological models appear to satisfy existing criteria for both cognition and association. (...) Salvaging the standard methodology of comparative psychology will thus require significant conceptual redeployment. In this article, I trace the historical development of the distinction in comparative psychology, distinguishing two styles of approach. The first style tries to make out the distinction in terms of the properties of psychological models, for example by focusing on criteria like the presence of rules & propositions vs. links & nodes. The second style of approach attempts to operationalize the distinction by use of specific experimental tests for cognition performed on actual animals. I argue that neither style of criteria is self-sufficient, and both must cooperate in an iterative empirical investigation into the nature of animal minds if the distinction is to be reformed. (shrink)

Thermoregulation is often thought to be a key motivating factor behind the origins of clothing. Less attention has been given, however, to the production and use of clothing across traditional societies in contexts outside of thermoregulatory needs. Here I investigate the use of disguises, modesty coverings, and body armor among the 10 hunter-gatherer societies in the Probability Sample Files (PSF) within the Human Relations Area Files (HRAF) World Cultures database, with a particular focus on disguise cases and how they compare (...) with strategies of deception across other taxa. The employment of disguises—defined as altering one’s appearance for purposes of deceiving conspecifics or other animals—is noted for eight of the 10 societies, with their use occurring in contexts of hunting, religious or cult practices, and war or interpersonal violence. Most hunter-gatherer disguises demonstrated clear similarities to cases of visual deception found in other species, with the majority of examples fitting categories of animal mimicry, masquerading as plants, disruptive coloration (camouflage), or background matching (camouflage), while disguises unique to humans involved the impersonation of culture-specific “spirit-beings.” Clothing for modesty purposes (nine societies) and body armor (six societies) are also noted. I propose that strategic initiatives by individuals or groups to disguise or conceal themselves represents one possible initial pathway to the cultural evolution of clothing. There are likely multiple potential (nonexclusive) social and functional pathways to the emergence of clothing outside of thermoregulatory needs. (shrink)

This new approach to Josiah Royce shows one of American philosophy's brightest minds in action for today's readers. Although Royce was one of the towering figures of American pragmatism, his thought is often considered in the wake of his more famous peers. Jacquelyn Ann K. Kegley brings fresh perspective to Royce's ideas and clarifies his individual philosophical vision. Kegley foregrounds Royce's concern with contemporary public issues and ethics, focusing in particular on how he addresses long-standing problems such as race, (...) religion, community, the dangers of mass media, mass culture, and blatant individualistic capitalism. She offers a deep and fruitful philosophical exploration of Royce's ideas on conflict resolution, memory, self-identity, and self-development. Kegley's keen understanding and appreciation of Royce reintroduces him to a new generation of scholars and students. (shrink)

De Dreu and Gross predict that attackers will have more difficulty winning conflicts than defenders. As their analysis is presumed to capture the dynamics of decentralized conflict, we consider how their framework compares with ethnographic evidence from small-scale societies, as well as chimpanzee patterns of intergroup conflict. In these contexts, attackers have significantly more success in conflict than predicted by De Dreu and Gross's model. We discuss the possible reasons for this disparity.

In Canada, as in many developed countries, healthcare conscientious objection is growing in visibility, if not in incidence. Yet the country's health professional policies on conscientious objection are in disarray. The article reports the results of a comprehensive review of policies relevant to conscientious objection for four Canadian health professions: medicine, nursing, pharmacy and dentistry. Where relevant policies exist in many Canadian provinces, there is much controversy and potential for confusion, due to policy inconsistencies and terminological vagueness. Meanwhile, in Canada's (...) three most northerly territories with significant Aboriginal populations, whose already precarious health is influenced by funding and practitioner shortages, there are major policy gaps applicable to conscientious objection. In many parts of the country, as a result of health professionals' conscientious refusals, access to some legal health services – including but not limited to reproductive health services such as abortion – has been seriously impeded. Although policy reform on conscientious conflicts may be difficult, and may generate strenuous opposition from some professional groups, for the sake of both patients and providers, such policy change must become an urgent priority. (shrink)

In this essay, I provide a forward-looking naturalized theory of mental content designed to accommodate predictive processing approaches to the mind, which are growing in popularity in philosophy and cognitive science. The view is introduced by relating it to one of the most popular backward-looking teleosemantic theories of mental content, Fred Dretske’s informational teleosemantics. It is argued that such backward-looking views (which locate the grounds of mental content in the agent’s evolutionary or learning history) face a persistent tension between ascribing (...) determinate contents and allowing for the possibility of misrepresentation. A way to address this tension is proposed by grounding content attributions in the agent’s own ability to detect when it has represented the world incorrectly through the assessment of prediction errors—which in turn allows the organism to more successfully represent those contents in the future. This opens up space for misrepresentation, but that space is constrained by the forward-directed epistemic capacities that the agent uses to evaluate and shape its own representational strategies. The payoff of the theory is illustrated by showing how it can be applied to interpretive disagreements over content ascriptions amongst scientists in comparative psychology and ethology. This theory thus provides a framework in which to make content attributions to representations posited by an exciting new family of predictive approaches to cognition, and in so doing addresses persistent tensions with the previous generation of naturalized theories of content. (shrink)

The last half century has seen both attempts to demythologize the idea of God into purely secular forces and the resurgence of the language of “God” as indispensable to otherwise secular philosophers for describing experience. This volume asks whether “piety” might be a sort of irreducible human problematic: functioning both inside and outside religion.S. Clark Buckner works in San Francisco as an artist, critic, and curator. He is the gallery director at Mission 17 and publishes regularly in Artweek and (...) the San Francisco Bay Guardian. He has a Ph.D. in philosophy from Vanderbilt University. Matthew Statler is the Director of Research at the Imagination Lab Foundation in Lausanne, Switzerland. His current research is focused on practical wisdom as it pertains to organizational phenomena such as strategy making and leadership. He also has a Ph.D. in philosophy from Vanderbilt University. (shrink)

This book proposes a theory of reference--answering the question of whether Jewish, Christian, and Muslim scriptures refer to the same God--within a semantic framework acceptable to atheists and fideists.

Carruthers argues that an integrated faculty of metarepresentation evolved for mindreading and was later exapted for metacognition. A more consistent application of his approach would regard metarepresentation in mindreading with the same skeptical rigor, concluding that the “faculty” may have been entirely exapted. Given this result, the usefulness of Carruthers’ line-drawing exercise is called into question.

Philosophical Psychology, Volume 0, Issue 0, Page 1-5, Ahead of Print.

This collection of essays, which includes a revised version of a famous article on the "male lesbian," addresses such issues as race, gender, and sexuality, and explores the body as a physical, psychological, and cultural construct.

Recent breakthroughs in artificial intelligence have primarily resulted from training deep neural networks (DNNs) with vast numbers of adjustable parameters on enormous datasets. Due to their complex internal structure, DNNs are frequently characterized as inscrutable ``black boxes,'' making it challenging to interpret the mechanisms underlying their impressive performance. This opacity creates difficulties for explanation, safety assurance, trustworthiness, and comparisons to human cognition, leading to divergent perspectives on these systems. This chapter examines recent developments in interpretability methods for DNNs, with a (...) focus on interventionist approaches inspired by causal explanation in philosophy of science. We argue that these methods offer a promising avenue for understanding how DNNs process information compared to merely behavioral benchmarking and correlational probing. We review key interventionist methods and illustrate their application through practical case studies. These methods allow researchers to identify and manipulate specific computational components within DNNs, providing insights into their causal structure and internal representations. We situate these approaches within the broader framework of causal abstraction, which aims to align low-level neural computations with high-level interpretable models. While acknowledging current limitations, we contend that interventionist methods offer a path towards more rigorous and theoretically grounded interpretability research, potentially informing both AI development and computational cognitive neuroscience. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Josiah Royce on RaceIssues in ContextJacquelyn Ann K. KegleyAll philosophy, whether or not we want to admit it, is done in a context, filtered through lenses that are personal, intellectual, historical, cultural, social, and political. Thus to fairly treat and fully understand Royce's views on race, we must set a situational framework. First, Royce's 1906 article entitled "Race Questions and Prejudices" is the lead piece in a collection that (...) implements his philosophy of loyalty. It applies his principle of loyalty to what he considers one of the most significant social/political issues of his time—the race question. As we discuss Royce and race issues, the philosophy of loyalty must be in the background as a point of reference. Indeed, Royce tells us that he will address the various questions in his article "Race Questions and Prejudices" by calling attention to "a few principles which seem to me to be serviceable to any one who wants to look at race questions fairly and humanely" (6).Secondly, except for W. E. B. DuBois and Jane Addams, no other major figure associated with pragmatic philosophy substantially addressed issues of race and racism in their written work, nor did anyone so early in the twentieth century as did Royce. DuBois's The Souls of Black Folk, which came out in 1903, immediately preceded Royce's article. Jane Addams briefly touched on race issues in her 1915 Democracy and Social Ethics. Alain Locke, who sought to study with Royce at Harvard but could not because of Royce's premature death, gave his "Lectures on the Theory and Practice of Race" in 1915, but they were published posthumously. John Dewey's "Race Prejudice and Friction" appeared in 1922. There is an absence of treatment of race issues in George Herbert Mead, Charles Sanders Peirce, and Alfred North Whitehead. Thus Shannon Sullivan and I agree that Royce stands out in the history of classical American philosophy in taking an antiracist focus on race questions when very few philosophers—especially white male philosophers—took scholarly time to think about these issues.1 [End Page 1]Another important context for Royce's article is the political climate of the time. Royce identifies the era as one in which there were "more ways and places in which men find themselves in the presence of alien races with whom they have to live in the same social order" (4). It was a time of "white anxiety." In 1905, Theodore Roosevelt gave his famous "On American Motherhood" speech in which he warned of white "race suicide" if white families continued to reproduce at a slower rate than other races. Thus, Royce was speaking and writing against racism in a time of anti-immigration and proimperialism sentiment due to white anxiety in the United States about the possible decline of global white supremacy. It is in this setting that Royce highlights the color line as a significant problem.Royce states the problem as follows:This is the problem of dealing with the men who seem to us somehow very widely different from ourselves in physical constitution, in temperament, in all their deeper nature, so that we are temped to think of them as natural strangers to our souls, while nevertheless we find that they are stubbornly there in our world and that they are men as much determined to live as we are, and are men who, in turn, find us as incomprehensible as we find them.(5)With increased contact among different populations, the age-old problem of how to deal with people who seem different from one's own group intensifies. There will be, says Royce, numerous questions including those of superiority-inferiority, power and sovereignty, and a new assessment of the ways in which these "different" people might be helpful or perilous to one's own group interests. Royce notes that one cannot assume an automatic answer. He asks, "Is it a ‘yellow peril,' or a ‘black peril,' or perhaps after all, is it not rather some form of ‘white peril' which threatens the future of humanity in this day of great struggles and of complex issues?" (6). With the question posed in this... (shrink)