According to Thagard and Stewart :1–33, 2011), creativity results from the combination of neural representations, and combination results from convolution, an operation on vectors defined in the holographic reduced representation framework. They use these ideas to understand creativity as it occurs in many domains, and in particular in science. We argue that, because of its algebraic properties, convolution alone is ill-suited to the role proposed by Thagard and Stewart. The semantic pointer concept allows us to see how we can apply (...) the full range of HRR operations while keeping the modal representations so central to Thagard and Stewart’s theory. By adding another combination operation and using semantic pointers as the combinatorial basis, this modified version overcomes the limitations of the original theory and perhaps helps us explain aspects of creativity not covered by the original theory. While a priori reasons cast doubts on the use of HRR operations with modal representations :5039–5054, 1987) such as semantic pointers, recent models point in the other direction, allowing us to be optimistic about the success of the revised version. (shrink)

This paper argues that phenomenal or internal metrical spaces are redundant posits. It is shown that we need not posit an internal space-time frame, as the physical space-time suffices to explain geometrical perception, memory and planning. More than the internal space-time frame, the idea of a phenomenal colour space has lent credibility to the idea of internal spaces. It is argued that there is no phenomenal colour space that underlies the various psychophysical colour spaces; it is parasitic upon physical and (...) psychophysical colour spaces. The argumentation is further extended to other sensory spaces and generalised quality spaces. (shrink)

This paper discusses the current fashion for brain-based learning, in which value-laden claims about learning are grounded in neurophysiology. It argues that brain science cannot have the ‘authority’ about learning that some seek to give it. It goes on to discuss whether the claim that brain science is relevant to learning involves a category mistake. The heart of the paper tries to show how the contribution of brain science to our grasp of the nature of learning is limited in principle. (...) Finally the paper explores the potential of brain science to illuminate specific learning disabilities. (shrink)

It has been commonplace in epistemology since its inception to idealize away from computational resource constraints, i.e., from the constraints of time and memory. One thought is that a kind of ideal rationality can be specified that ignores the constraints imposed by limited time and memory, and that actual cognitive performance can be seen as an interaction between the norms of ideal rationality and the practicalities of time and memory limitations. But a cornerstone of naturalistic epistemology is that normative assessment (...) is constrained by capacities: you cannot require someone to do something they cannot or, as it is usually put, ought implies can. This much we take to be uncontroversial. We argue that differences in architectures, goals and resources imply substantial differences in capacity, and that some of these differences are ineliminable. It follows that some differences in goals and architectural and computational resources matter at the normative level: they constrain what principles of normative epistemology can be used to describe and prescribe their behavior. As a result, we can expect there to be important epistemic differences between the way brains, individuals, and science work. (shrink)

Recent work in cognitive science highlights the importance of exem- plar-based know-how in supporting human expertise. Influenced by this model, certain accounts of moral knowledge now stress exemplar- based, non-sentential know-how at the expense of rule-and-principle based accounts. I shall argue, however, that moral thought and reason cannot be understood by reference to either of these roles alone. Moral cognition – like other forms of ‘advanced’ cognition – depends crucially on the subtle interplay and interaction of multiple factors and forces (...) and especially (or so I argue) between the use of linguistic tools and formulations and more biologically basic forms of thought and reason. (shrink)

What is the relation between the material, conventional symbol structures that we encounter in the spoken and written word, and human thought? A common assumption, that structures a wide variety of otherwise competing views, is that the way in which these material, conventional symbol-structures do their work is by being translated into some kind of content-matching inner code. One alternative to this view is the tempting but thoroughly elusive idea that we somehow think in some natural language (such as English). (...) In the present treatment I explore a third option, which I shall call the "complementarity" view of language. According to this third view the actual symbol structures of a given language add cognitive value by complementing (without being replicated by) the more basic modes of operation and representation endemic to the biological brain. The "cognitive bonus" that language brings is, on this model, not to be cashed out either via the ultimately mysterious notion of "thinking in a given natural language" or via some process of exhaustive translation into another inner code. Instead, we should try to think in terms of a kind of coordination dynamics in which the forms and structures of a language qua material symbol system play a key and irreducible role. Understanding language as a complementary cognitive resource is, I argue, an important part of the much larger project (sometimes glossed in terms of the "extended mind") of understanding human cognition as essentially and multiply hybrid: as involving a complex interplay between internal biological resources and external non-biological resources. (shrink)

Postmodernism has established a significant hold in educational thought and some of the most important ideas are to be found in the writings of Michael Peters. This paper examines his postmodern stance and use of Lyotard's account of knowledge, and from a naturalist point of view raises a number of objections centred on science as a metanarrative, the unity of the empirical and the evaluative, and reason, truth and the growth of knowledge. It is concluded that postmodern epistemology, unlike naturalism, (...) does not serve education well. (shrink)

This paper seeks to explain learning by examining five theories of learning—conceptual analysis, behavioural, constructivist, computational and connectionist. The first two are found wanting and rejected. Piaget's constructivist theory offers a general explanatory framework (assimilation and accommodation) but fails to provide an adequate account of the empirical mechanisms of learning. Two theories from cognitive science offering rival explanations of learning are finally considered; it is argued that the brain is not like a computer so the computational model is rejected in (...) favour of a neurally‐based connectionist model of learning. (shrink)

Connectionism and classicism, it generally appears, have at least this much in common: both place some notion of internal representation at the heart of a scientific study of mind. In recent years, however, a much more radical view has gained increasing popularity. This view calls into question the commitment to internal representation itself. More strikingly still, this new wave of anti-representationalism is rooted not in armchair theorizing but in practical attempts to model and understand intelligent, adaptive behavior. In this paper (...) we first present, and then critically assess, a variety of recent anti-representationalist treatments. We suggest that so far, at least, the sceptical rhetoric outpaces both evidence and argument. Some probable causes of this premature scepticism are isolated. Nonetheless, the anti-representationalist challenge is shown to be both important and progressive insofar as it forces us to see beyond the bare representational/non-representational dichotomy and to recognize instead a rich continuum of degrees and types of representationality. (shrink)

There is a school of thought which links connectionist models of cognition to eliminativism-the thesis that the constructs of commonsense psychology do not exist. This way of construing the impact of connectionist modelling is, I argue, deeply mistaken and depends crucially on a shallow analysis of the notion of explanation. I argue that good, higher level descriptions may group together physically heterogenous mechanisms, and that the constructs of folk psychology may fulfil such a grouping function even if they fail to (...) pick out discrete states of individual processing. More speculatively, the paper goes on to suggest that the virtues which recommend such constructs from a theorist’s third person perspective may nonetheless have close analogues in individual processing. Various difficulties for what I term a pure distributed connectionism may be solved by systems which utilise both distributed and classical symbolic representations-the latter exhibiting the discreteness and semantic interpretability which the eliminativist requires to vindicate common-sense psychology. If human beings turned out to be such mixed systems, then the eliminativist claim would be doubly misguided. It would be false as a conditional since even if pure distributed connectionism were a complete and accurate formal model of individual processing, it would not follow that the other, higher level constructs were not accurate and essential tools for a different kind of explanation. And it would involve a false antecedent since in a mixed system the symbolic descriptions may indeed be incarnate in the system’s own individual processing. The paper is in four main sections. Section 1 attempts to systematise a certain received picture of the relative status and accuracy of various levels of description of a connectionist system. Section 2 then introduces a general model of explanations which aim to group systems into equivalence classes defined for various purposes. Each grouping requires a special vocabulary and the constructs of any given vocabulary are legitimate just insofar as the grouping is interesting and useful. Section 3 goes on to show that, relative to such a model of explanation, the constructs of both symbolic AI and commonsense psychology may have a legitimate role to play in giving psychological explanations. This role is not just that of a useful approximation. The paper ends with a speculative section in which the argument for the theoretical usefulness of such symbolic constructs is extended, in a very natural way, to the domain of individual processing. Here the cognizer, in the process of regulating, debugging and understanding her own representations, creates symbols to stand for sets of distributed activity patterns. The section points out some difficulties for a pure distributed approach which may be eased by the addition of such symbolic constructs and relates the speculations to the current debate over the ’correct’architecture of cognition. If the speculations are on target, this whole debate turns out to be fundamentally illposed. (shrink)

We provide a taxonomy of the two most important debates in the philosophy of the cognitive and neural sciences. The first debate is over methodological individualism: is the object of the cognitive and neural sciences the brain, the whole animal, or the animal--environment system? The second is over explanatory style: should explanation in cognitive and neural science be reductionist-mechanistic, inter-level mechanistic, or dynamical? After setting out the debates, we discuss the ways in which they are interconnected. Finally, we make some (...) recommendations that we hope will help philosophers interested in the cognitive and neural sciences to avoid dead ends. (shrink)

We respond to Morris and Richardson 's claim that Pickering and Chater's arguments about the lack of a relation between cognitive science and folk psychology are flawed. We note that possible controversies about the appropriate uses for the two terms do not affect our arguments. We then address their claim that computational explanation of knowledge-rich processes has proved possible in the domains of problem solving, scientific discovery, and reasoning. We argue that, in all cases, computational explanation is only possible for (...) aspects of those processes that do not make reference to general knowledge. We conclude that consideration of the issues raised by Morris and Richardson reinforces our original claim that there are two fundamentally distinct projects for understanding the mind, one based on justification, and the other on computational explanation, and that these apply to non-overlapping aspects of mental life. (shrink)

The need for representations and computations over their contents in psychological explanations is often cited as both the mark of the genuinely cognitive and a source of skepticism about the reducibility of cognitive theories to neuroscience. A generic version of this anti-reductionist argument is rejected in this paper as unsound, since (i) current thinking about associative learning emphasizes the need for cognitivist resources in theories adequate to explain even the simplest form of this phenomena (Pavlovian conditioning), and yet (ii) the (...) most widely accepted recent theory of associative learning, which utilizes cognitivist resources, has already been reduced to a purely neurophysiological account. Psychoneural reduction of genuinely cognitivist theories is thus already an accomplished scientific fact, despite pronouncements by anti-reductionists about its conceptual impossibility or empirical implausibility. In addition, the specific form of reduction involved in this case (“combinatorial” reduction) provides a promising model for further cognitivist-to-neuroscience theory reductions. (shrink)

I reply to challenges raised by contributors to this book symposium. Key challenges include (but are not limited to): distancing my new account of reductionism-in-practice from my previous “new wave” account; clarifying my claimed “heuristic” status for higher-level investigations (including cognitive-neuroscientific ones); defending the “reorientation of philosophical desires” I claim to be required by my project; and addressing consideration about normativity.

Recently some philosophers have urged that connectionist artificial intelligence is (potentially) eliminative for the propositional attitudes of folk psychology. At the same time, however, these philosophers have also insisted that since philosophy of science has failed to provide criteria distinguishing ontologically retentive from eliminative theory changes, the resulting eliminativism is not principled. Application of some resources developed within the semantic view of scientific theories, particularly recent formal work on the theory reduction relation, reveals these philosophers to be wrong in this (...) second contention, yet by and large correct in the first. (shrink)

In philosophy the term intentionality refers to the feature possessed by mental states of beingabout things others than themselves. A serious question has been how to explain the intentionality of mental states. This paper starts with linguistic representations, and explores how an organism might use linguistic symbols to represent other things. Two research projects of Sue Savage-Rumbaugh, one explicity teaching twopan troglodytes to use lexigrams intentionally, and the other exploring the ability of several members ofpan paniscus to learn lexigram use (...) and comprehension of English speech spontaneously when raised in an appropriate environment, are examined to explore the acquisition process. Although it is controversial whether intentionality of mental states or linguistic symbols is primary, it is argued that the intentionality of linguistic symbols is primary and that studying how organisms learn to use linguistic symbols provides an avenue to understanding how intentionality is acquired by cognitive systems. (shrink)

One of our more fundamental beliefs is that causal chains are continuous in time: we believe that every influence from the past upon the future runs through the present. I argue that this tenet, given certain data, can force conceptual changes upon us. I attempt to formulate a heuristic for discovery, based as explicitly as possible upon this tenet, and illustrate it by means of several examples, one of which is Mendel's discovery of genes.

While "Consciousness Explained" has received an enormous amount of attention since its publication, there is still little agreement on what Dennett’s account of consciousness is. Most interpreters treat his view as an instance of one or another of the standard ontological positions (functionalism, behaviorism, eliminativism, instrumentalism). I believe a different metaphysical account underlies Dennett’s view, one that is important though ill-understood. In the paper I attempt to point in the direction of a proper characterization of that account through the use (...) of two illustrative examples. A ten-point story that applies to the examples is developed, and it is suggested that the story applies equally well to Dennett’s view of consciousness. (shrink)

A relatively new and exciting area of collaboration has begun between philosophy of mind and ethics. This paper attempts to explore aspects of this collaboration and how they bear upon traditional ethics. It is the author's contention that much of Western moral philosophy has been guided by largely unrecognized assumptions regarding reason, knowledge and conceptualization, and that when examined against empirical research in cognitive science, these assumptions turn out to be false -- or at the very least, unrealistic for creatures (...) with our cognitive structures. The fundamental tension between the Western idea of morality (as basically rule-following) and the way in which people actually confront and experience moral dilemmas is a result of our failure to take the insights of cognitive psychology seriously. This failure has had a dramatic impact on not only how we teach ethics, but how we attempt to live out lives. (shrink)

The so-called subjectivity of conscious experience is central to much recent work in the philosophy of mind. Subjectivity is the alleged property of consciousness whereby one can know what it is like to have certain conscious states only if one has undergone such states oneself. I review neurophilosophical work on consciousness and concepts pertinent to this claim and argue that subjectivity eliminativism is at least as well supported, if not more supported, than subjectivity reductionism.

Concepts are mental representations that are the constituents of thought. EdouardMachery claims that psychologists generally understand concepts to be bodies of knowledge or information carrying mental states stored in long term memory that are used in the higher cognitive competences such as in categorization judgments, induction, planning, and analogical reasoning. While most research in the concepts field generally have been on concrete concepts such as LION, APPLE, and CHAIR, this paper will examine abstract moral concepts and whether such concepts may (...) have prototype and exemplar structure. After discussing the philosophical importance of this project and explaining the prototype and exemplar theories, criticisms will be made against philosophers, who without experimental support from the sciences of the mind, contend that moral concepts have prototype and/or exemplar structure. Next, I will scrutinize Mark Johnson’s experimentally-based argument that moral concepts have prototype structure. Finally, I will show how our moral concepts may indeed have prototype and exemplar structure as well as explore the further ethical implications that may be reached by this particular moral concepts conclusion. (shrink)

A comprehensive introduction to the Language of Though Hypothesis (LOTH) accessible to general audiences. LOTH is an empirical thesis about thought and thinking. For their explication, it postulates a physically realized system of representations that have a combinatorial syntax (and semantics) such that operations on representations are causally sensitive only to the syntactic properties of representations. According to LOTH, thought is, roughly, the tokening of a representation that has a syntactic (constituent) structure with an appropriate semantics. Thinking thus consists in (...) syntactic operations defined over representations. Most of the arguments for LOTH derive their strength from their ability to explain certain empirical phenomena like productivity, systematicity of thought and thinking. (shrink)

I briefly review the three basic strategies for naturalizing intentionality discussed by Haugeland 4:383–427, 1990, and Hutto and Satne, recounting their deficits. Then, I focus on Dennett’s version of what Haugeland calls the “second-base … neo-behaviorist” strategy. After briefly explaining Dennett’s proposal, I defend it against four common objections: circularity, relativity, under-specified rationality, and failure to track robustly natural facts. I conclude by recounting the advantages of Dennettian neo-behaviorism over the neo-Cartesian and neo-pragmatist alternatives, as well as Hutto and Satne’s (...) proposal that intentionality comes in two distinct kinds. (shrink)

I argue against motivational internalism. First I recharacterise the issue over moral motivation. Second I describe the indifference argument against motivation internalism. Third I consider appeals to irrationality that are often made in the face of this argument, and I show that they are ineffective. Lastly, I draw the motivational externalist conclusion and reflect on the nature of the issue.

What is the difference between belief and desire? In order to explain the difference, recent philosophers have appealed to the metaphor of.

Claims pertaining to understanding are made in a variety of contexts and ways. As a result, few in the philosophical literature have made an attempt to precisely characterize the state that is y understanding x. This paper builds an account that does just that. The account is motivated by two main observations. First, understanding x is somehow related to being able to manipulate x. Second, understanding is a mental phenomenon, and so what manipulations are required to be an understander must (...) only be mental manipulations. Combining these two insights, the paper builds an account (URM) of understanding as a certain representational capacity—specifically, understanding x involves possessing a representation of x that could be manipulated in useful ways. By tying understanding to representation, the account correctly identifies that understanding is a fundamentally cognitive achievement. However, by also demanding that which representations count as understanding-conferring be determined by their practical effects, URM captures the insight that understanding is vitally connected to practice. URM is fully general, and can apply equally well to understanding states of affairs, understanding events, and even understanding people and works of art. The ultimate test of URM is its applicability in actual scientific and philosophical discourse. To that end the paper discusses the importance of understanding in the philosophy of science, psychology, and computer science. (shrink)

In studying what people do two points of view can be distinguished: We can choose the perspective of the actors themselves (the actor’s perspective), or we can look at what is going on from the outside, from a distance (the researcher’s perspective). Regarding the relation between both points of view three standpoints have been defended.

In various essays, Paul Churchland explores the relevance of studies in cognitive science to issues in ethics. What emerges is a kind of ethical naturalism that has two components. The first component is a descriptive‐genealogical one whose purpose is to explain how people come to have their ethical beliefs. The second component is a normative one whose purpose is to explain why some values are better than other values. Given this distinction, the problem of integrating ethics with beliefs about the (...) world is a consequence of the traditional view that it is possible to naturalize descriptive‐genealogical ethics but not normative ethics. With this distinction as background, I critically examine Churchland's exploration of cognitive science's contribution to our understanding of the values and purposes that should direct our lives. The conclusion is twofold. First, using concepts from the American pragmatists, I argue that, pace Churchland, it is possible to bridge the descriptive‐normative gap in order to articulate an ethical naturalism that addresses the so‐called naturalistic fallacy but is not committed to an unpalatable relativism. Second, I argue that the sort of ethical naturalism that emerges has affinities to the postmodern ethics of Jean‐François Lyotard. (shrink)

In this paper I evaluate the soundness of the prototype paradigm, in particular its basic assumption that there are pan-human psychological essences or core meanings that refer to basic-level natural kinds, explaining why, on the whole, human communication and learning are successful. Instead I argue that there are no particular pan-human basic elements for thought, meaning and cognition, neither prototypes, nor otherwise. To illuminate my view I draw on examples from anthropology. More generally I argue that the prototype paradigm exemplifies (...) two assumptions that dominate cognitive science: (1) If human beings use words they mean something particular and what they mean can be discovered by scientific methods. (2) There is a fixed number of domains of categorization, each made up of a fixed number of basic categories. I suggest that these two assumptions lead to Brave New World. (shrink)

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)

Explanations of the growth of scientific knowledge can be characterized in terms of logical, cognitive, and social schemas. But cognitive and social schemas are complementary rather than competitive, and purely social explanations of scientific change are as inadequate as purely cognitive explanations. For example, cognitive explanations of the chemical revolution must be supplemented by and combined with social explanations, and social explanations of the rise of the mechanical world view must be supplemented by and combined with cognitive explanations. Rational appraisal (...) of cognitive and social strategies for improving knowledge should appreciate the interdependence of mind and society. (shrink)

The article first addresses the importance of cognitive modeling, in terms of its value to cognitive science (as well as other social and behavioral sciences). In particular, it emphasizes the use of cognitive architectures in this undertaking. Based on this approach, the article addresses, in detail, the idea of a multi-level approach that ranges from social to neural levels. In physical sciences, a rigorous set of theories is a hierarchy of descriptions/explanations, in which causal relationships among entities at a high (...) level can be reduced to causal relationships among simpler entities at a more detailed level. We argue that a similar hierarchy makes possible an equally productive approach toward cognitive modeling. The levels of models that we conceive in relation to cognition include, at the highest level, sociological/anthropological models of collective human behavior, behavioral models of individual performance, cognitive models involving detailed mechanisms, representations, and processes, as well as biological/physiological models of neural circuits, brain regions, and other detailed biological processes. (shrink)

A central goal of contemporary cognitive science is the explanation of cognitive abilities or capacities. [Cummins 1983] During the last three decades a wide range of cognitive capacities have been subjected to careful empirical scrutiny. The adult's ability to produce and comprehend natural language sentences and the child's capacity to acquire a natural language were among the first to be explored. [Chomsky 1965, Fodor, Bever & Garrett 1974, Pinker 1989] There is also a rich literature on the ability to solve (...) mathematical problems [Greeno 1983], the ability to recognize objects visually [Rock 1983, Gregory 1970, Marr 1982], the ability to manipulate and predict the behavior of middle sized physical objects [McClosky 1983, Hayes 1985], and a host of others. (shrink)

Recent work in neurophilosophy has either made reference to the work of John Dewey or independently developed positions similar to it. I review these developments in order first to show that Dewey was indeed doing neurophilosophy well before the Churchlands and others, thereby preceding many other mid-twentieth century European philosophers’ views on cognition to whom many present day philosophers refer (e.g., Heidegger, Merleau-Ponty). I also show that Dewey’s work provides useful tools for evading or overcoming many issues in contemporary neurophilosophy (...) and philosophy of mind. In this introductory review, I distinguish between three waves among neurophilosophers that revolve around the import of evolution and the degree of brain-centrism. Throughout, I emphasize and elaborate upon Dewey’s dynamic view of mind and consciousness. I conclude by introducing the consciousness-as-cooking metaphor as an alternative to both the consciousness-as-digestion and consciousness-as-dancing metaphors. Neurophilosophical pragmatism—or neuropragmatism—recognizes the import of evolutionary and cognitive neurobiology for developing a science of mind and consciousness. However, as the cooking metaphor illustrates, a science of mind and consciousness cannot rely on the brain alone—just as explaining cooking entails more than understanding the gut—and therefore must establish continuity with cultural activities and their respective fields of inquiry. Neuropragmatism advances a new and promising perspective on how to reconcile the scientific and manifest images of humanity as well as how to reconstruct the relationship between science and the humanities. (shrink)

Various systems that learn are examined to show how content is carried in connections installed by a learning history. Agents do not explicitly use the content of such states in practical reasoning, yet the content plays an important role in explaining behavior, and the physical state carrying that content plays a role in causing behavior, given other occurrent beliefs and desires. This leads to an understanding of the environmental reasons which are the determinate content of these states, and leads to (...) a better grasp of how representational content can be carried by systems without an explicit representation. (shrink)

The work of cognitive psychologists, philosophical naturalists, post-modernists, and other such epistemic subversives conspires to endanger the well being of traditional analytic epistemology. Stephen Stich ( et tu Stich) has contributed his design for epistemology's coffin. I look hard at his proposed radical revision of epistemology. The ostensible target of Stich's analysis is the traditional enterprise of analytic epistemology. It is, however, the conceptual pillars that underpin both the traditional analytic and naturalist epistemologies that are the primary focus. It is (...) a conceptual domain neutral to the priorists and naturalists which Stich calls normative cognitive monism . Normative cognitive monism is the view that there is a unique system of cognitive processes that people should use. The point of Stich's analytical exercise is to disabuse us of the belief that there is such a unique and global set of standards by which cognitive performance is to be evaluated. He argues that all the evidence, both empirical and conceptual, leads away from this ultimately chauvinistic view and converges on normative cognitive pluralism which is the denial of monism. The same evidence that informs normative cognitive monism confirms normative cognitive pluralism. The empirical evidence is provided by the results of celebrated experiments on reasoning, or as Stich calls it, cognitive performance. The conceptual evidence derives from the failure of naturalistic accounts of intentional content. Stich's (1983) derisive view of theories of intentional content adumbrated in From Folk Psychology to Cognitive Science is now the linchpin of his pragmatic theory of cognitive evaluation. (shrink)

In this paper, I provide further elaboration of my theory of conscious experience, in response to the criticisms made by David Cole, and I directly address a number of the issues he raises. In particular, I examine Cole's claim that functionalism rather than neurophysiology is the theoretical key to consciousness. I argue that weak type-physicalism provides an analysis which is more fine grained, makes weaker assumptions, and allows more scope for empirical methods.

The doctrine of eliminative materialism holds that belief-desire psychology is massively referentially disconnected. We claim, however, that it is not at all obvious what it means to be referentially (dis)connected. The two major accounts of reference both lead to serious difficulties for eliminativism: it seems that elimination is either impossible or omnipresent. We explore the idea that reference fixation is a much more local, partial, and context-dependent process than was supposed by the classical accounts. This pragmatic view suggests that elimination (...) is not the prime model for understanding the complex relations between the mind and brain sciences, and that we have little ground for concluding that in general psychological kinds do not exist. We suggest that reference changes are better seen as continuous rather than completely eliminative. (shrink)

Visualizations used in the practice of neuroscience, as one example of a scientific practice, can be sorted according to whether they represent (A) actual things, (B) theoretical models, or (C) some integration of these two. In this paper I hypothesize that an assessment of a chain of visual representations from (A) through (C) to (B) (and back again) is used, as part of the practice of scientific judgment, to assess the adequacy of the "working fit" between the theoretical model and (...) the actual thing or process that the model is intended to explain. (shrink)

Visualizations used in the practice of neuroscience, as one example of a scientific practice, can be sorted according to whether they represent actual things, theoretical models, or some integration of these two. In this paper I hypothesize that an assessment of a chain of visual representations from through to is used, as part of the practice of scientific judgment, to assess the adequacy of the "working fit" between the theoretical model and the actual thing or process that the model is (...) intended to explain. (shrink)