Many kinds of creativity result from combination of mental representations. This paper provides a computational account of how creative thinking can arise from combining neural patterns into ones that are potentially novel and useful. We defend the hypothesis that such combinations arise from mechanisms that bind together neural activity by a process of convolution, a mathematical operation that interweaves structures. We describe computer simulations that show the feasibility of using convolution to produce emergent patterns of neural activity that can support (...) cognitive and emotional processes underlying human creativity. (shrink)

We propose a unified theory of intentions as neural processes that integrate representations of states of affairs, actions, and emotional evaluation. We show how this theory provides answers to philosophical questions about the concept of intention, psychological questions about human behavior, computational questions about the relations between belief and action, and neuroscientific questions about how the brain produces actions. Our theory of intention ties together biologically plausible mechanisms for belief, planning, and motor control. The computational feasibility of these mechanisms is (...) shown by a model that simulates psychologically important cases of intention. (shrink)

In the 20th century, genetic explanatory approaches became dominant in both developmental and evolutionary biological research. By contrast, physical approaches, which appeal to properties such as mechanical forces, were largely relegated to the margins, despite important advances in modeling. Recently, there have been renewed attempts to find balanced viewpoints that integrate both biological physics and molecular genetics into explanations of developmental and evolutionary phenomena. Here we introduce the 2017 SICB symposium “Physical and Genetic Mechanisms for Evolutionary Novelty” that was dedicated (...) to exploring empirical cases where both biological physics and developmental genetic considerations are crucial. To further contextualize these case studies, we offer two theoretical frameworks for integrating genetic and physical explanations: combining complementary perspectives and comprehensive unification. We conclude by arguing that intentional reflection on conceptual questions about investigation, explanation, and integration is critical to achieving significant empirical and theoretical advances in our understanding of how novel forms originate across the tree of life. (shrink)

As Hammond has argued, traditional explanations for disagreement among experts (incompetence, venality, and ideology) are inadequate. The character and fallibilities of the human judgement process itself lead to persistent disagreements even among competent, honest, and disinterested experts. Social Judgement Theory provides powerful methods for analysing such judgementally based disagreements when the experts' judgement processes can be represented by additive models involving the same cues. However, the validity and usefulness of such representations depend on several conditions: (a) experts must agree on (...) a problem definition, (b) experts must have access to the same information, and (c) experts must use the same organising principles. When these conditions are not met, methods for diagnosing and treating disagreement are poorly understood. As a start towards developing such an understanding, sources of expert disagreement are discussed and categorised. (shrink)

Cognitive theories have expressed their components using an artificial symbolic language, such as first-order predicate logic, and the atoms in such representations are non-decomposable letter strings. A neural theory merely demonstrates how to implement a classical symbol system using neurons: this is actually an argument against the importance of the neural description. The fact that symbol systems are physically instantiated in neurons becomes a mere implementational detail, since there is a direct way to translate from the symbolic description to the (...) more neurally plausible one. It might then be argued that, while the neural aspects of the theory identify how behavior arises, they are not fundamentally important for understanding that behavior. Classical symbol systems would continue to be seen as the right kinds of description for psychological processes. (shrink)

We use a spiking neural network model of working memory capable of performing the spatial delayed response task to investigate two drugs that affect WM: guanfacine and phenylephrine. In this model, the loss of information over time results from changes in the spiking neural activity through recurrent connections. We reproduce the standard forgetting curve and then show that this curve changes in the presence of GFC and PHE, whose application is simulated by manipulating functional, neural, and biophysical properties of the (...) model. In particular, applying GFC causes increased activity in neurons that are sensitive to the information currently being remembered, while applying PHE leads to decreased activity in these same neurons. Interestingly, these differential effects emerge from network-level interactions because GFC and PHE affect all neurons equally. We compare our model to both electrophysiological data from neurons in monkey dorsolateral prefrontal cortex and to behavioral evidence from monkeys performing the DRT. (shrink)

Andy believes that p because his tarot cards indicate that p. Betty believes that ∼p because her crystal ball reveals that ∼p. If Andy and Betty know that they disagree, and disagree because they engage in different practices, is Andy's belief that p rational? The answer depends in part on whether Andy has good reasons to think that reading tarot cards is reliable about the topic while reading crystal balls is not. If a person has good reasons to believe that (...) practice P1 is reliable while a competing practice P2 is not, then it is not irrational to form beliefs by engaging in P1. What if a person does not have good reasons to think that one practice is reliable about a topic while competing practices are not, though? In such cases, would Andy's awareness of the existence of competing practices, on its own, be enough to render his belief that p irrational? (shrink)

What is the point of developing an epistemology for a topic—for example, morality? When is it appropriate to develop the epistemology of a topic? For many topics—for example, the topic of socks—we see no need to develop a special epistemology. Under what conditions, then, does a topic deserve its own epistemology? I seek to answer these questions in this article. I provide a criterion for deciding when we are warranted in developing an epistemological theory for a topic. I briefly apply (...) this criterion to moral epistemology and argue that some approaches to moral epistemology should be abandoned. I also argue that we can develop an epistemology for a topic without committing ourselves to a specific substantive theory of justification, such as reliabilism or coherentism, if we work within a suitably neutral framework. (shrink)

While there has been a great deal of discussion of whether and when beliefs formed in an epistemically circular manner can be justified, there has been almost no discussion of exactly which beliefs are formed in a circular manner. These discussions have tended to focus on an extremely limited number of intuitively-identified paradigm examples concerning attempts to establish the reliability of a method of belief formation. Here, I seek to answer a prior analytical question about the nature of epistemic circularity (...) by developing a criterion which sorts epistemically circular beliefs from non-epistemically circular beliefs. (shrink)

In 1985, Swiss legal philosopher Walter Ott visited Herbert Hart in Oxford and made this record of their meeting, which casts novel light on some of Hart’s ideas. Ott engaged Hart in a fresh encounter with the legal philosophy of Gustav Radbruch, particularly Hart’s and Radbruch’s reasons for a minimum content of justice in law. They also discussed the grudge informer, state responsibility under laws of an earlier régime, and questions of the definition and falsifiability of legal theories. Hart surprisingly (...) reported Hans Kelsen as stating, when they had met at Berkeley in 1961, that Hume (and not Kant, and certainly not Wittgenstein) was the greatest philosopher who had ever lived. The translation is accompanied with annotations explaining references, assumptions and contexts. (shrink)

While there has been a great deal of discussion of whether and when beliefs formed in an epistemically circular manner can be justified, there has been almost no discussion of exactly which beliefs are formed in a circular manner. Here, I discuss two possible accounts of when a belief is formed in an epistemically circular manner, arguing that both have serious problems, and should thus be rejected. Seeing where they founder points the way to a better attempt at a criterion (...) of epistemically circular belief. (shrink)

Quantum probability (QP) theory can be seen as a type of vector symbolic architecture (VSA): mental states are vectors storing structured information and manipulated using algebraic operations. Furthermore, the operations needed by QP match those in other VSAs. This allows existing biologically realistic neural models to be adapted to provide a mechanistic explanation of the cognitive phenomena described in the target article by Pothos & Busemeyer (P&B).

The International Conference on Cognitive Modeling brings together researchers from around the world whose main goal is to build computational systems that reflect the internal processes of the mind. In this issue, we present the five best representative papers on this work from our 19th meeting, ICCM 2021, which was held virtually from July 3 to July 9, 2021. Three of these papers provide new techniques for refining computational models, giving better methods for taking empirical data and producing accurate computational (...) models of the cognitive systems that produce them. The other two papers focus on explanation: using models to elucidate the underlying processes affecting cognition in such diverse domains as logical reasoning and the effects of caffeine. (shrink)

We elucidate the epistemological futility of using concepts such as unconscious thinking in research. Focusing on Newell & Shanks' (N&S's) use of the lens model as a framework, we clarify issues with regard to unconscious-thought theory (UTT) and self-insight studies. We examine these key points: Brunswikian psychology is absent in UTT; research on self-insight did not emerge to explore the unconscious; the accuracy of judgments does not necessitate the unconscious; and the prescriptive claim of UTT is unfounded.

We present techniques for integrating low‐level neurobiological constraints into high‐level, functional cognitive models. In particular, we use these techniques to construct a model of eyeblink conditioning in the cerebellum based on temporal representations in the recurrent Granule‐Golgi microcircuit.

This article charts Derrida’s performances in front of the camera and argues that several different film retellings of his 1982 imprisonment in Prague articulate the connections between spectrality and Law. If spectrality disrupts the binary of presence and absence, then we must not only show how there is a ghostly presence within the context of film viewing, but also how being photographed is a matter of embracing blindness and a postal logic. The Prague imprisonment was an intriguing event in Derrida’s (...) life because it seemed to go hand-in-hand with revoking his self-imposed ban on his public image, beginning with his first television interview on Antenne 2. Why does Derrida replay this scene, re-enact it, indefinitely? How does the recurring trope of blindness in his writings relate to both the imprisonment and the experience of being photographed? The television and film retellings in Ghost Dance (McMullen, 1983), D’ailleurs, Derrida (Fathy, 1999), and, finally, Derrida (Dick and Ziering Kofman, 2002) could be a way of changing the ghosts that haunt that scene: from fear and anguish in the first television version to openness towards the other in D’ailleurs, Derrida, where the place and time of the event are not named. (shrink)

Cinema Derrida charts Jacques Derrida's collaborations and appearances in film, video, and television beginning with 1983's Ghost Dance (dir. Ken McMullen, West Germany/UK) and ending with 2002's biographical documentary Derrida (dir. Dick and Ziering, USA). In the last half of his working life, Derrida embraced popular art forms and media in more ways than one: not only did he start making more media appearances after years of refusing to have his photo taken in the 1960s and 1970s, but his philosophy (...) started to draw more explicitly from visual culture and artistic endeavours. While this book offers explanations of this transition, it contends the image of "Jacques Derrida" that emerges from film and TV appearances remains spectral, constantly deferring a complete grasp of him. Tyson Stewart draws out the main tenets of spectrality from Derrida's seminal texts Of Grammatology and Specters of Marx and other writings, like Echographies of Television, in order to fill a gap in studies of Derrida and film. Throughout the book, he explains how various techniques and spectral effects such as slow motion, stillness, repetition, mise-en-abîme, direct address, and focus on body parts/bodily presence bring about a structure of spectrality wherein the past other returns to make impressions and ethical demands on the viewer. Drawing on communication theory and film and media studies, Cinema Derrida makes a major intervention in classical communication thought. (shrink)

Cognitive modeling involves the creation of computer simulations that emulate the internal processes of the mind. This set of papers are the five best representatives of the papers presented at the 17th International Conference on Cognitive Modeling, ICCM 2019. While they represent a diversity of techniques and tasks, they all also share a striking similarity: They make strong statements about the importance of accounting for individual differences.

The 18th International Conference on Cognitive Modelling (ICCM 2020) brought together researchers whose goal is to develop computational simulations of the mind, and to use those simulations to test theories about how the mind works. In this special issue, we present four top papers from ICCM 2020. Two of these address the challenge of scaling up to more complex tasks, and the other two address the challenge of scaling down to connect these computational models to neuroscience.

The International Conference on Cognitive Modeling brings together researchers from around the world whose main goal is to build computational systems that reflect the internal processes of the mind. In this issue, we present the five best representative papers on this work from our 19th meeting, ICCM 2021, which was held virtually from July 3 to July 9, 2021. Three of these papers provide new techniques for refining computational models, giving better methods for taking empirical data and producing accurate computational (...) models of the cognitive systems that produce them. The other two papers focus on explanation: using models to elucidate the underlying processes affecting cognition in such diverse domains as logical reasoning and the effects of caffeine. (shrink)

Intuitions about arguments are an important source of evidence in epistemology. In this paper, I consider a principle defended recently: Necessarily, an argument P therefore C is justification-affording for subject S only if S justifiably believes that if P, then C. Cling presents an argument for . is important because its truth is inconsistent with many plausible epistemological theories, including standard reliabilism and even some forms of internalist foundationalism. I will argue that non-skeptical epistemologists should find Cling's argument unconvincing. Further, (...) I will briefly argue that is false. (shrink)