Political theory as a discipline has long been skeptical of computational methods. In this paper, I argue that it is time for theory to make a perspectival shift on these methods. Specifically, we should consider integrating recently developed generative large language models like GPT-4 as tools to support our creative work as theorists. Ultimately, I suggest that political theorists should embrace this technology as a method of supporting our capacity for creativity—but that we should do so in a way that (...) is mindful of the content and value of theorizing, the technical constraints of the models, and the ethical questions that the technology raises. (shrink)

Paul Churchland does not open his latest book,The Engine of Reason, the Seat of the Soul, modestly. He begins by announcing, “This book is about you. And me … More broadly still, it is about every creature that ever swam, or walked, or flew over the face of the Earth” (p. 3). A few sentences later, he says, “Fortunately, recent research into neural networks … has produced the beginnings of a real understanding of how the biological brain works—a real understanding, (...) that is, of howyouwork, and everyone else like you” (p. 3). The implicit identification here of “me and you and everyone” with “the biological brain” might lead an uncharitable reader to view Churchland's book as “Eliminativism for the non-specialist,” that is, as an attempt to popularize the view of the mindbody problem with which, among his professional peers, Churchland has long been identified. However, I think that such a readingwouldbe uncharitable. He is, of course, frequently sceptical about the utility of folk psychology, but in this book he is much less concerned to disparage folk psychology as a failedtheory(by contrast with, for example, the arguments in Churchland 1979) than to urge the more modest view that the more we understand the brain, the better we shall be at helping those whose brains are damaged in ways that interfere seriously with the fulfilment of their lives. Hence, I am inclined to take him at his word when he says in the Preface that “The book is motivated first of all by sheer excitement over the new picture that is now emerging … [and] … also by the idea that this is information that the public needs to know” (p. xi). What excites Churchland so, at least overtly, is not the negative thesis he has defended elsewhere that folk-psychological terms fail to refer; his enthusiasm is mainly reserved for the positive thesis that minds are, essentially, interacting assemblies of recurrent neural networks. It is therefore this positive thesis, and Churchland's defence of it, that I will assess in the following discussion. (shrink)

The relationship between philosophy and science has always been complementary. Today, while science moves increasingly fast and philosophy shows some problems in catching up with it, it is not always possible to ignore such relationships, especially in some disciplines such as philosophy of mind, cognitive science, and neuroscience. However, the methodological procedures used to analyze these data are based on principles and assumptions that require a profound dialogue between philosophy and science. Following these ideas, this work aims to raise the (...) problems that a classical connectionist theory can cause and problematize them in a cognitive framework, considering both philosophy and cognitive sciences but also the disciplines that are near to them, such as AI, computer sciences, and linguistics. For this reason, we embarked on an analysis of both the computational and theoretical problems that connectionism currently has. The second aim of this work is to advocate for collaboration between neuroscience and philosophy of mind because the promotion of deeper multidisciplinarity seems necessary in order to solve connectionism’s problems. In fact, we believe that the problems that we detected can be solved by a thorough investigation at both a theoretical and an empirical level, and they do not represent an impasse but rather a starting point from which connectionism should learn and be updated while keeping its original and profoundly convincing core. (shrink)

It is often thought that consciousness has a qualitative dimension that cannot be tracked by science. Recently, however, some philosophers have argued that this worry stems not from an elusive feature of the mind, but from the special nature of the concepts used to describe conscious states. Marc Champagne draws on the neglected branch of philosophy of signs or semiotics to develop a new take on this strategy. The term “semiotics” was introduced by John Locke in the modern period – (...) its etymology is ancient Greek, and its theoretical underpinnings are medieval. Charles Sanders Peirce made major advances in semiotics, so he can act as a pipeline for these forgotten ideas. Most philosophers know Peirce as the founder of American pragmatism, but few know that he also coined the term “qualia,” which is meant to capture the intrinsic feel of an experience. Since pragmatic verification and qualia are now seen as conflicting commitments, Champagne endeavors to understand how Peirce could (or thought he could) have it both ways. The key, he suggests, is to understand how humans can insert distinctions between features that are always bound. Recent attempts to take qualities seriously have resulted in versions of panpsychism, but Champagne outlines a more plausible way to achieve this. So, while semiotics has until now been the least known branch of philosophy ending in –ics, his book shows how a better understanding of that branch can move one of the liveliest debates in philosophy forward. (shrink)

The received view of dynamical explanation is that dynamical cognitive science seeks to provide covering law explanations of cognitive phenomena. By analyzing three prominent examples of dynamicist research, I show that the received view is misleading: some dynamical explanations are mechanistic explanations, and in this way resemble computational and connectionist explanations. Interestingly, these dynamical explanations invoke the mathematical framework of dynamical systems theory to describe mechanisms far more complex and distributed than the ones typically considered by philosophers. Therefore, contemporary dynamicist (...) research reveals the need for a more sophisticated account of mechanistic explanation. (shrink)

The implementation of moral decision making abilities in artificial intelligence (AI) is a natural and necessary extension to the social mechanisms of autonomous software agents and robots. Engineers exploring design strategies for systems sensitive to moral considerations in their choices and actions will need to determine what role ethical theory should play in defining control architectures for such systems. The architectures for morally intelligent agents fall within two broad approaches: the top-down imposition of ethical theories, and the bottom-up building of (...) systems that aim at goals or standards which may or may not be specified in explicitly theoretical terms. In this paper we wish to provide some direction for continued research by outlining the value and limitations inherent in each of these approaches. (shrink)

In “Truth by Convention” W.V. Quine gave an influential argument against logical conventionalism. Even today his argument is often taken to decisively refute logical conventionalism. Here I break Quine’s arguments into two— the super-task argument and the regress argument—and argue that while these arguments together refute implausible explicit versions of conventionalism, they cannot be successfully mounted against a more plausible implicit version of conventionalism. Unlike some of his modern followers, Quine himself recognized this, but argued that implicit conventionalism was explanatorily (...) idle. Against this I show that pace Quine’s claim that implicit conventionalism has no content beyond the claim that logic is firmly accepted, implicit rules of inference can be used to distinguish the firmly accepted from the conventional. As part of my case, I argue that positing syntactic rules of inference as part of our linguistic competence follows from the same methodology that leads contemporary linguists and cognitive scientists to posit rules of phonology, morphology, and grammar. The upshot of my discussion is a diagnosis of the fallacy in Quine’s master critique of logical conventionalism and a re-opening of possibilities for an attractive conventionalist theory of logic. (shrink)

With respect to questions of fact, people use heuristics – mental short-cuts, or rules of thumb, that generally work well, but that also lead to systematic errors. People use moral heuristics too – moral short-cuts, or rules of thumb, that lead to mistaken and even absurd moral judgments. These judgments are highly relevant not only to morality, but to law and politics as well. Examples are given from a number of domains, including risk regulation, punishment, reproduction and sexuality, and the (...) act/omission distinction. In all of these contexts, rapid, intuitive judgments make a great deal of sense, but sometimes produce moral mistakes that are replicated in law and policy. One implication is that moral assessments ought not to be made by appealing to intuitions about exotic cases and problems; those intuitions are particularly unlikely to be reliable. Another implication is that some deeply held moral judgments are unsound if they are products of moral heuristics. The idea of error-prone heuristics is especially controversial in the moral domain, where agreement on the correct answer may be hard to elicit; but in many contexts, heuristics are at work and they do real damage. Moral framing effects, including those in the context of obligations to future generations, are also discussed. (shrink)

Despite a wealth of data we still have no clear idea what color experiences represent. In fact, color experiences vary with so many factors that it has been claimed that they do not represent anything at all. The primary challenge for any representational account of color experience is to accommodate the various psychophysical results that demonstrate that color appearance depends not only on the spectral nature of the target but also on the spectral, spatial and figural nature of the surround. (...) A number of theorists have proposed that this dependence is an aspect of the visual system's constancy mechanism. However this does not in and of itself tell us what, if anything, is represented in color experience. Ultimately the answer to this question will be informed by one's theory of representational content. I will argue that adopting a molecular scheme of representation enables the development of an account of the represented object of color experience that can do justice to the psychophysical data. (shrink)

Some philosophers hold that the neuroscience of action is, in practice or in principle, incapable of touching debates in action theory and moral psychology. The role of desires in action, the existence of basic actions, and the like are topics that must be sorted out by philosophers alone: at least at present, and perhaps by the very nature of the questions. This paper examines both philosophical and empirical arguments against the relevance of neuroscience to such questions and argues that neither (...) succeeds. In practice, there is already a stable body of findings from neuroanatomy and neurophysiology that warrants attention. And as a matter of principle, the ‘causal map’ of action production derivable from these findings requires the study of action theorists and moral psychologists because every such philosopher has commitments to the shape of this causal map: commitments that might be in conflict with reality. (shrink)

The propositional attitudes are attitudes such as believing and desiring, taken toward propositions such as the proposition that snow flurries are expected, or that the Prime Minister likes poutine. Collectively, our views about the propositional attitudes make up much of folk psychology, our everyday theory of how the mind works.

It is crucial, first of all, to stress the importance Churchland attaches to the idea that the neural networks whose assemblages he holds to be “engines of reason” must be recurrent. Non-recurrent networks, of the sort best known among philosophers, simply discover patterns in input data presented to them as sets of features. The learning capacities of such networks, extensively discussed since the publication of Rumelhart and McClelland et al., are indeed impressive; and Churchland describes them clearly and gracefully as (...) preparation for introducing recurrent networks. Now, the importance of recurrence as a feature of the networks Churchland hypothesizes as forming the basis of cognitive activity is well motivated. A cognitive system that was an assembly of non-recurrent networks would be, in essence, a stimulus-response machine of the sort that early behaviourists took themselves to be studying when they examined the mind/brain. Such a system could learn to find novel patterns in data. However, it is empirically evident that human— and some non-human—cognitive capacities go well beyond this. People dream, imagine scenarios that never existed, reconceptualize their perceptions, and theorize. All these activities seem to require not merely inferring patterns from data, but reconceiving the nature of the data itself in light of the inferential structures built through learning. For this to be possible, the data cannot be “clamped,” as they are in the case of non-recurrent networks. Hence the importance of recurrence. A recurrent network can be defined as one which takes some or all of its own output and then treats that output as a source of input. This allows for the recognition of meta-patterns. Furthermore, if some such networks are feeding their output as input to other networks with which they are linked, the possibility of reasoning and conceptualizing by analogy arises; and this ability, as Churchland argues, seems to be an essential aspect of genuine creativity in science, art, and the continuously ongoing re-design of the social order. The actual existence of simulated recurrent networks, and the capacities they demonstrate, constitute an impressive possibility argument that a system with enormous cognitive plasticity and behavioural flexibility could be built out of parallel distributed processing networks, so long as at least many of these networks were recurrent. The importance of this possibility argument should not be under-emphasized, but it of course invites an obvious question: how good are our grounds for supposing that the possibility in question is actually realized in the biological domain? (shrink)

In this article, I argue that Williams's sceptical view about the value of economic models expressed in 'The philosophy of economic modelling: a critical survey' [South African Journal of Philosophy, 18(2): 223–246, this issue], and widely shared amongst philosophers of science, is not warrented. Williams's error, I maintain, lies in his failure to adequately distinguish, (a) between theories in general and what he calls 'folk theories', and (b) between the different roles that models play in different sciences. With respect to (...) (b), I suggest that Williams fails to recognize that scientists who lack the ability of physicists to constrain theorizing through rigorous controlled experiments must generally do a good deal of work investigating theories by means of models solely designed to test their formal implications, before further models with potentially direct applicability to the world can even be developed. Williams's central mistake, I argue, lies in confusing models of the first sort with models of the second. (shrink)

For most of human history, human knowledge was considered to be something that was stored and captured by words. This began to change when Galileo said that the book of nature is written in the language of mathematics. Today, Dan Dennett and many others argue that all genuine scientific knowledge is in the form of mathematical algorithms. However, recently discovered neurocomputational algorithms can be used to justify the claim that there is genuine knowledge which is non-algorithmic. The fact that these (...) algorithms use prototype deployment, rather than mathematics or logic, gives us good reason to believe that there is a kind of knowledge that we derive from stories that is different from our knowledge of algorithms. Even though we would need algorithms to build a system that can make sense out of stories, we do not need to use algorithms when we ourselves embody a system that learns from stories. The success of the Galilean perspective in the physical sciences has often resulted in an attempt to mathematize the humanities. I am arguing that the dynamic neurocomputational perspective can give us a better understanding of how we get knowledge and wisdom from the stories told by disciplines such as Literature, History, Anthropology and Theology. This new neurological data can be used to justify the traditional pedagogy of these disciplines, which originally stressed the telling of stories rather than the learning of algorithms. (shrink)

A popular argument form uses general theories of cognitive architecture to motivate conclusions about the nature of moral cognition. This paper highlights the possibility for modus tollens reversal of this argument form. If theories of cognitive architecture generate predictions for moral cognition, then tests of moral thinking provide feedback to cognitive science. In certain circumstances, philosophers' introspective attention to their own moral deliberations can provide unique data for these tests. Recognizing the possibility for this sort of feedback helps to illuminate (...) a deep continuity between the disciplines. (shrink)

The mind-society problem deals with the relations between mental and social phenomena. The problem is crucial in the main methodologies of social sciences. The thesis of hermeneutics is that we can only understand but not explain the relationship between beliefs and social action because mental and social events are not natural events. The thesis of social holism is that social phenomena are emergent and irreducible to mental phenomena. The thesis of rational choice theory is that social phenomena are reducible to (...) mental phenomena and this reduction is explained by unrealistic a priori principles of rationality. These theses depend on their different solutions to the following fundamental philosophical issues: the mind-body identity; the causal nature of social explanation; the realistic goal of science. A positive answer to these issues implies support of a different solution to the mind-society problem: social phenomena are conventional concepts and they can be reduced and explained in terms of realistic concepts describing the causal mechanisms of individual reasoning and decision-making. Cognitive psychology seems to supply us some initial tentative models to explain social action, but research into neuropsychology might be able to generate the proper causal representations of the relation between mind and action. (shrink)

Consciousness is sometimes viewed as a particular parametric factor in the analogy of blood pressure or electric charge. The paper argues that this is an erroneous conception becomes consciousness involves a varied assortment of different phenomena that have no single unified commonality. And so even as ‘abnormal psychology’ has to be a disjointed assembly of diverse specialties so will ‘consciousness studies’ have to be.

Homo sociologicus and homo oeconomicus are, for different reasons, unsatisfactory models for the social sciences. A third model, called “rational model in the broad sense”, seems better endowed to cope with the many different expressions of rationality of the social agent. Some contributions by Weber, Durkheim and Marx are early examples of the application of this model of social explanation based on good subjective reasons. According to this model and to the evidence of cognitive anthropology, it is possible to reconcile (...) primitive thinking with the inferential principles of Western people. Lastly, cognitive psychology can contribute to the discovery of generalizations of reason-based choices that can strengthen the explanatory power of “rational model in the broad sense”. (shrink)

Common understandings of neuroethics, i.e., of its distinctive nature, are premised on two distinct sets of claims: (1) neuroscience can change views about the nature of ethics itself and neuroethics is dedicated to reaping such an understanding of ethics; (2) neuroscience poses challenges distinct from other areas of medicine and science and neuroethics tackles those issues. Critiques have rightfully challenged both claims, stressing how the first may lead to problematic forms of reductionism while the second relies on debatable assumptions about (...) the nature of bioethics specialization and development. Informed by philosophical pragmatism and our experience in neuroethics, we argue that these claims are ill-founded and should give way to pragmatist reconstructions. Namely, neuroscience, much like other areas of empirical research on morality, can provide useful information about the nature of morally problematic situations but it does not need to promise radical and sweeping changes to ethics based on neuroscientism. Furthermore, the rationale for the development of neuroethics as a specialized field need not to be premised on the distinctive nature of the issues it tackles or of neurotechnologies. Rather, it can espouse an understanding of neuroethics as both a scholarly and a practical endeavor dedicated to resolving a series of problematic situations raised by neurological and psychiatric conditions. (shrink)

This article develops a new perspective on theism that makes the simple juxtaposition of theism and atheism problematic, and helps bridge philosophy of religion and the empirical study of religious phenomena. The basic idea is developed inspired by Terrence Deacon's book Incomplete Nature and its description of “ententional” phenomena, together with some ideas from the cognitive science of religion, especially those related to agency and “theological correctness.” It is argued that God should not be understood as a “homunculus” that stops (...) an otherwise infinite regress of arguments. (shrink)

In this paper I put forward a representationalist theory of conscious experience based on Robert Stalnaker's version of two-dimensional modal semantics. According to this theory the phenomenal character of an experience correlates with a content equivalent to what Stalnaker calls the diagonal proposition. I show that the theory is closely related both to functionalist theories of consciousness and to higher-order representational theories. It is also more compatible with an anti-Cartesian view of the mind than standard representationalist theories.

The nature of the relationship between mind and body is one of the greatest remaining mysteries. As such, the historical origin of the current dominant belief that mind is a function of the brain takes on especial significance. In this article I aim to explore and explain how and why this belief emerged in early 19th-century Britain. Between 1815 and 1819 two brain-based physiologies of mind were the subject of controversy and debate in Britain: the system of phrenology devised by (...) Franz Joseph Gall, and William Lawrence’s lectures at the Royal College of Surgeons. Both owed a profound intellectual debt to continental comparative anatomy. In the final quarter of the 18th-century, Johann Friedrich Blumenbach, Petrus Camper and Johann Gottfried von Herder had broken away from the traditional doctrine of the Great Chain of Being by allowing for a clear anatomical distinction between ‘man’ and beast based on the morphology of the skull. This reconceptualization of man as an anatomically distinct being gave Gall and Lawrence grounds to propose that the peculiarities of the human mind were dependent on mankind’s unique cerebral size and structure. (shrink)

There is no more central issue to education than thinking and reasoning. Certainly, such an emphasis chimes with the rationalist and cognitive deep structure of the Western educational tradition. The contemporary tendency reinforced by cognitive science is to treat thinking ahistorically and aculturally as though physiology, brain structure and human evolution are all there is to say about thinking that is worthwhile or educationally significant. The movement of critical thinking also tends to treat thinking ahistorically, focusing on universal processes of (...) logic and reasoning. Against this trend and against the scientific spirit of the age this paper presents a historical and philosophical picture of thinking. By contrast with dominant cognitive and logical models the paper emphasizes kinds of thinking and styles of reasoning. The paper grows out of interests primarily in the work of Nietzsche, Heidegger and Wittgenstein, and in the extension and development of their work in Critical Theory and French poststructuralist philosophy. The paper draws directly on some of this work to argue for the recognition of different kinds of thinking, which are explored by reference to Heidegger, and also the significance of styles of reasoning, which are explored by reference to Wittgenstein and to Ian Hacking. (shrink)

This paper addresses the questions concerningthe relationship between scientific andcognitive processes. The fact that both,science and cognition, aim at acquiring somekind of knowledge or representationabout the world is the key for establishing alink between these two domains. It turns outthat the constructivist frameworkrepresents an adequate epistemologicalfoundation for this undertaking, as its focusof interest is on the (constructive)relationship between the world and itsrepresentation. More specifically, it will beshown how cognitive processes and their primaryconcern to construct a representation of theenvironment and to (...) generate functionallyfitting behavior can act as the basis forembedding the activities and dynamics of theprocess of science in them by making use ofconstructivist concepts, such as functionalfitness, structure determinedness, etc.Cognitive science and artificiallife provide the conceptual framework of representational spaces and their interactionbetween each other and with the environmentenabling us to establish this link betweencognitive processes and thedevelopment/dynamics of scientific theories.The concepts of activation, synaptic weight,and genetic (representational) spaces arepowerful tools which can be used asexplanatory vehiclesfor a cognitivefoundation of science, more specifically forthe context of discovery (i.e., thedevelopment, construction, and dynamics ofscientific theories and paradigms).Representational spaces do not only offer us abetter understanding of embedding science incognition, but also show, how theconstructivist framework, both, can act as anadequate epistemological foundation for theseprocesses and can be instantiated by theserepresentational concepts from cognitivescience. The final part of this paper addresses somemore fundamental questions concerning thepositivistic and constructivist understandingof science and human cognition. Among otherthings it is asked, whether a purelyfunctionalist and quantitative view of theworld aiming almost exclusively at itsprediction and control is really satisfying forour intellect (having the goal of achieving aprofound understanding of reality). (shrink)

Some philosophers suggest that the development of scientificknowledge is a kind of Darwinian process. The process of discovery,however, is one problematic element of this analogy. I compare HerbertSimon's attempt to simulate scientific discovery in a computer programto recent connectionist models that were not designed for that purpose,but which provide useful cases to help evaluate this aspect of theanalogy. In contrast to the classic A.I. approach Simon used, ``neuralnetworks'' contain no explicit protocols, but are generic learningsystems built on the model of (...) the interconnections of neurons in thebrain. I describe two cases that take the connectionist approach a stepfurther by using genetic algorithms, a form of evolutionary computationthat explicitly models Darwinian mechanisms. These cases show thatDarwinian mechanisms can make novel discoveries of complex, previouslyunknown patterns. With some caveats, they lend support to evolutionaryepistemology. (shrink)

Robert Sokolowski: Phenomenology of the Human Person Content Type Journal Article DOI 10.1007/s10746-010-9145-x Authors Hans Pedersen, Department of Philosophy, Indiana University of Pennsylvania, Indiana, PA USA Journal Human Studies Online ISSN 1572-851X Print ISSN 0163-8548 Journal Volume Volume 33 Journal Issue Volume 33, Numbers 2-3.

Psychoneural reduction has been debated extensively in the philosophy of neuroscience. In this article I will evaluate metascientific approaches that claim direct molecular and cellular explanations of cognitive functions. I will initially consider the issues involved in linking cellular properties to behaviour from the general perspective of neural circuits. These circuits that integrate the molecular and cellular components underlying cognition and behaviour, making consideration of circuit properties relevant to reductionist debates. I will then apply this general perspective to specific systems (...) where psychoneural reduction has been claimed, namely hippocampal long-term potentiation and the Aplysia gill-withdrawal reflex. (shrink)

In this article, I discuss several of the factors that jeopardize our understanding of the nature of qualitative experiences and the mind. I incorporate the view from neuroscience to clarify the na.

This essay interrogates recent materialist monisms, be they based on contingency, eliminativism, or objective phenomenology, on account of their metaphilosophical ramifications. It is argued that certain dualities must be retained, at least nominally, in order to have any explanatory purchase and escape velocity from philosophical circularity. Dyads such as “spirit” and “matter,” “manifest” and “scientific,” “living” and “dead,” or even “illusion” and “reality” are given an immanentist reading that treats them as equal parts of the Real. Following this revisionary metaphysics (...) that reviews the meaning of such terms as optical realities, the matter–spirit couple is specifically used to explain why reality cannot appear as just one thing, even if only in virtue of the illusion of at least two things. The consequences for philosophical monisms of all types, and for anthropocentric thought in general, are then examined in the light of the ethical effects of recent attempts to explain every thing through one medium alone. (shrink)

The philosophical technical term "supervenience" is frequently used in the philosophy of mind as a concise way of characterizing the core idea of physicalism in a manner that is neutral with respect to debates between reductive physicalists and nonreductive physicalists. I argue against this alleged neutrality and side with reductive physicalists. I am especially interested here in debates between psychoneural reductionists and nonreductive functionalist physicalists. Central to my arguments will be considerations concerning how best to articulate the spirit of the (...) idea of supervenience. I argue for a version of supervenience, "fine-grained supervenience," which is the claim that if, at a given time, a single entity instantiates two distinct mental properties, it must do so in virtue of instantiating two distinct physical properties. I argue further that despite initial appearances to the contrary, such a construal of supervenience can be embraced only by reductive physicalists. (shrink)

This article was inspired by participant observation of a contemporary collaboration between empirically oriented philosophers of mind and neuroscientists. An encounter between this anthropologist of science and neurophilosophers in a Finnish sleep laboratory led to the following philosophical exploration of the intellectual space shared by neurophilosophy and science studies. Since these fields emerged in the 1970s, scholars from both sides have been visiting brain research facilities, but engaged with neuroscientists very differently and passionately fought with each other over the reduction (...) of mind to brain. As a case in point, this article looks at the philosophical controversy over the dreaming brain. It serves as a window on the problem space opened up by the demise of positivist conceptions of science, now inhabited by both neurophilosophy and science studies. Both fields face the problem of how to bridge the gap between empirical research and conceptual work. At a time when ontological speculation has made a comeback in these areas of research, studies on how epistemic objects manifest themselves in the material culture of neuroscience could help neurophilosophers to become better materialists. In the sleep laboratory, however, the materiality of dreams continues to be elusive. In dreaming science studies and neurophilosophy encounter a phenomenon that – at least in 2015 – still invites a positivist rather than a materialist attitude. (shrink)

If connectionism is to be an adequate theory of mind, we must have a theory of representation for neural networks that allows for individual differences in weighting and architecture while preserving sameness, or at least similarity, of content. In this paper we propose a procedure for measuring sameness of content of neural representations. We argue that the correct way to compare neural representations is through analysis of the distances between neural activations, and we present a method for doing so. We (...) then use the technique to demonstrate empirically that different artificial neural networks trained by backpropagation on the same categorization task, even with different representational encodings of the input patterns and different numbers of hidden units, reach states in which representations at the hidden units are similar. We discuss how this work provides a rebuttal to Fodor and Lepore's critique of Paul Churchland's state space semantics. (shrink)

Intellectualist theories attempt to assimilate know how to propositional knowledge and, in so doing, fail to properly explain the close relation know how bears to action. I develop here an anti-intellectualist theory that is warranted, I argue, because it best accounts for the difference between know how and mere “armchair knowledge.” Know how is a mental state characterized by a certain world-to-mind direction of fit (though it is non-motivational) and attendant functional role. It is essential of know how, but not (...) propositional knowledge, that it makes possible performance errors and has the functional role of guiding action. The theory is attractive, in part, because it allows for propositional, non-propositional and perhaps even non-representational varieties of know how. (shrink)

The author juxtaposes two extreme approaches to the relationship between consciousness and the physical world: phenomenological-idealistic (represented by Edmund Husserl) and radically naturalistic (represented by Paul Churchland). These two positions are interpreted in terms of opposite if symmetrical types of reduction (on the one hand, the reduction of the world to a sense for consciousness, and on the other hand, the reduction of consciousness to an element of the physical world). They emerge as two ways of abstracting from the ambivalence (...) of ordinary experience, in which consciousness and the physical world are both mutually entangled and non-identical with each other. In conclusion, the author argues that contemporary philosophy, which follows both the idealistic and the naturalistic path, fails to solve the problem of this relationship. (shrink)

In this paper I trace Michael Ruse's Booknotes from the first volumeof Biology and Philosophy in 1986 to the present. I deal withboth the style and the content of these booknotes. Ruse paid specialattention to authors outside of the traditional English axis as wellas to feminist writers. He complained that too much attention wasbeing paid to certain topics (e.g., evolutionary ethics, evolutionaryepistemology, the species problem and reduction) while other, moreimportant topics were all but ignored (e.g., natural selection,population genetics, levels of (...) selection and extraterrestrial life).He also dealt with the Darwin Industry. Creationism, his love-haterelationships with several authors and his undiluted love of CharlesDickens. (shrink)

This aim of this paper is two-fold: it critically analyses and rejects accounts blending active inference as theory of mind and enactivism; and it advances an enactivist-dynamic understanding of social cognition that is compatible with active inference. While some social cognition theories seemingly take an enactive perspective on social cognition, they explain it as the attribution of mental states to other people, by assuming representational structures, in line with the classic Theory of Mind. Holding both enactivism and ToM, we argue, (...) entails contradiction and confusion due to two ToM assumptions widely known to be rejected by enactivism: that social cognition reduces to mental representation and social cognition is a hardwired contentful ‘toolkit’ or ‘starter pack’ that fuels the model-like theorising supposed in. The paper offers a positive alternative, one that avoids contradictions or confusion. After rejecting ToM-inspired theories of social cognition and clarifying the profile of social cognition under enactivism, that is without assumptions and, the last section advances an enactivist-dynamic model of cognition as dynamic, real-time, fluid, contextual social action, where we use the formalisms of dynamical systems theory to explain the origins of socio-cognitive novelty in developmental change and active inference as a tool to demonstrate social understanding as generalised synchronisation. (shrink)

This paper investigates connectionism's potential to solve the frame problem. The frame problem arises in the context of modelling the human ability to see the relevant consequences of events in a situation. It has been claimed to be unsolvable for classical cognitive science, but easily manageable for connectionism. We will focus on a representational approach to the frame problem which advocates the use of intrinsic representations. We argue that although connectionism's distributed representations may look promising from this perspective, doubts can (...) be raised about the potential of distributed representations to allow large amounts of complexly structured information to be adequately encoded and processed. It is questionable whether connectionist models that are claimed to effectively represent structured information can be scaled up to a realistic extent. We conclude that the frame problem provides a difficulty to connectionism that is no less serious than the obstacle it constitutes for classical cognitive science. (shrink)

the term as used by sunstein seeks to bring together various traditions. however, there are significant differences between uses of the term in the cognitive and the social psychological research, and these differences are accompanied by very distinct evidential criteria. we suggest the term should refer to processes, which means that further evidence is required.

David Marr's (1982) three‐level analysis of computational cognition argues for three distinct levels of cognitive information processing—namely, the computational, representational, and implementational levels. But Marr's levels are—and were meant to be—descriptive, rather than interactive and dynamic. For this reason, we suggest that, had Marr been writing today, he might well have gone even farther in his analysis, including the emergence of structure—in particular, explicit structure at the conceptual level—from lower levels, and the effect of explicit emergent structures on the level (...) (or levels) that gave rise to them. The message is that today's cognitive scientists need not only to understand how emergent structures—in particular, explicit emergent structures at the cognitive level—develop but also to understand how they feed back on the sub‐structures from which they emerged. (shrink)

According to the so-called Hempel’s Dilemma, the thesis of physicalism is either false or empty. Our intention in this paper is not to propose a solution to the Dilemma, but rather to argue as follows: to the extent that Hempel’s Dilemma applies to physicalism it equally applies to any theory that gives a deep-structure and changeable account of our experience or of high-level theories. In particular, we will show that it also applies to mind-body dualistic theories. The scope of Hempel’s (...) Dilemma turns out to be very wide: it is a special case of a general sceptical argument against changeable deep-structure theories in and outside science. (shrink)