This volume consists of the first of the John Dewey Lectures delivered under the auspices of Columbia University's Philosophy Department as well as other essays by the author. Intended to clarify the meaning of the philosophical doctrines propounded by Professor Quine in 'Word and Objects', the essays included herein both support and expand those doctrines.

This book on the philosophy of science argues for an empiricism, opposed to the tradition of David Hume, in which singular rather than general causal claims are primary; causal laws express facts about singular causes whereas the general causal claims of science are ascriptions of capacities or causal powers, capacities to make things happen. Taking science as measurement, Cartwright argues that capacities are necessary for science and that these can be measured, provided suitable conditions are met. There are case studies (...) from both econometrics and quantum mechanics. (shrink)

Eliminative materialism is the thesis that our common-sense conception of psychological phenomena constitutes a radically false theory, a theory so fundamentally defective that both the principles and the ontology of that theory will eventually be displaced, rather than smoothly reduced, by completed neuroscience. Our mutual understanding and even our introspection may then be reconstituted within the conceptual framework of completed neuroscience, a theory we may expect to be more powerful by far than the common-sense psychology it displaces, and more substantially (...) integrated within physical science generally. My purpose in this paper is to explore these projections, especially as they bear on (1) the principal elements of common-sense psychology: the propositional attitudes (beliefs, desires, etc.), and (2) the conception of rationality in which these elements figure. (shrink)

In Systematicity, Paul Hoyningen-Huene answers the question "What is science?" by proposing that scientific knowledge is primarily distinguished from other forms of knowledge, especially everyday knowledge, by being more systematic. "Science" is here understood in the broadest possible sense, encompassing not only the natural sciences but also mathematics, the social sciences, and the humanities. The author develops his thesis in nine dimensions in which it is claimed that science is more systematic than other forms of knowledge: regarding descriptions, explanations, predictions, (...) the defense of knowledge claims, critical discourse, epistemic connectedness, an ideal of completeness, knowledge generation, and the representation of knowledge. He compares his view with positions on the question held by philosophers from Aristotle to Nicholas Rescher. The book concludes with an exploration of some consequences of Hoyningen-Huene's view concerning the genesis and dynamics of science, the relationship of science and common sense, normative implications of the thesis, and the demarcation criterion between science and pseudo-science. (shrink)

The five studies of this special section investigate the role of models and similar representational tools in interdisciplinarity. These studies were all written by philosophers of science, who focused on interdisciplinary episodes between disciplines and sub-disciplines ranging from physics, chemistry and biology to the computational sciences, sociology and economics. The reasons we present these divergent studies in a collective form are three. First, we want to establish model-exchange as a kind of interdisciplinary event. The five case studies, which are summarized (...) in Section 2 below, show the relevance of this kind. Arguing for the relative unity of these cases will, we hope, re-orient the current debate over interdisciplinarity so as to reflect more appropriately the importance of this kind. We discuss our view of the current state of the debate in Section 3. The evidence from these cases also helps us to develop a taxonomy of interdisciplinary model exchanges in Section 4da taxonomy, we would like to add, that might be useful for the discussion of interdisciplinary exchanges beyond the context of models and their transfer. The second reason for presenting these studies together is that they provide an important source of evidence for the philosophy of science. Over the last three decades, philosophy of science has increasingly differentiated into philosophies of various disciplines. This differentiation in our view has greatly increased our understanding of the scientific practices of the respective disciplines, including the epistemological and methodological standards and conventions on which these practices are based and by which they are evaluated. But it has also made it harder to compare these practices and standards across disciplines. The studies we present here are case studies of interdisciplinary exchange: they focus on the transfer, collaborative construction or parallel use of models and similar representational tools. They therefore provide a unique opportunity to investigate various disciplinary treatments of the same or at least similar representational tools. This allows the identification and comparison of different disciplinary practices and their underlying conventions as well as of the respective normative standards of their evaluation. By tracing the paths along which models travel between disciplines and research fields we can observe to which extent discipline-external practices associated with an adopted tool are retained or replaced by disciplineinternal practices. This generates invaluable information about both disciplinarity and interdisciplinarity. We develop this argument further in Section 5. The third reason for presenting these studies in collective form is that their philosophical analysis also has important normative implications for the notion of interdisciplinarity itself. Too often in the current (non-philosophical) discourse is interdisciplinarity cast as an exclusively integrative project: interdisciplinary exchange is often claimed to be successful only if the involved disciplines become mutually more integrated as a consequence of this process. In contrast to this, many of the cases presented here show that interdisciplinary exchange can be scientifically highly successful, even if at the end of the exchange disciplinary borders remain fully intact. Indeed, borders can be fruitfully crossed without any integration across these borders. Such considerations of divergence in scientific practices and tools offer arguments against a naïve plea for unitarian or non-pluralist versions of interdisciplinarity. Disciplinary divergences may have their justifications, and attempting exchanges that require the reduction of these divergences may consequently not be justified. We pursue this argument further in Section 6. (shrink)

In philosophy, the last thirty years or so has seen a split between 'simulation theorists' and 'theory-theorists', with a number of variations on each side. In general, simulation theorists favour the idea that our knowledge of others is based on using ourselves as a working model of what complex psychological creatures are like. Theory-theorists claim that our knowledge of complex psychological creatures, including ourselves, is theoretical in character and so more like our knowledge of the world in general. The body (...) of this paper is divided into three parts. In Part I, I introduce the 'contrastive case' of autism. Autism is a developmental disorder that has recently become the focus of sustained philosophical and psychological attention because of the selective way in which it affects individuals' social capacities. Theory-theorists argue that autistic children's unique profile of assets and deficits is most fruitfully explained by their inability to develop and deploy a theory of mind. After considering the strengths of this hypothesis, I claim theory-theorists face two unresolved difficulties: explaining why high-functioning autistics who develop some theory of mind capacities still fail to engage in normal psychological knowing; and explaining why autistics are generally as unknowable to us in the privileged sense of normal psychological knowing as we are to them. In Part II, I provide the theoretical framework for addressing these challenges by developing an account of normal psychological knowing as psycho-practical expertise. In Part III, I return to the problem of autism, showing how this psycho-practical approach to normal psychological knowing may further suggest how to encompass various aspects of the disorder that tend to be ignored under the prevailing theory-theory approach. (shrink)

This paper explores the difference between Connectionist proposals for cognitive a r c h i t e c t u r e a n d t h e s o r t s o f m o d e l s t hat have traditionally been assum e d i n c o g n i t i v e s c i e n c e . W e c l a i m t h a t t h (...) e m a j o r d i s t i n c t i o n i s t h a t , w h i l e b o t h Connectionist and Classical architectures postulate representational mental states, the latter but not the former are committed to a symbol-level of representation, or to a ‘language of thought’: i.e., to representational states that have combinatorial syntactic and semantic structure. Several arguments for combinatorial structure in mental representations are then reviewed. These include arguments based on the ‘systematicity’ of mental representation: i.e., on the fact that cognitive capacities always exhibit certain symmetries, so that the ability to entertain a given thought implies the ability to entertain thoughts with semantically related contents. We claim that such arguments make a powerful case that mind/brain architecture is not Connectionist at the cognitive level. We then consider the possibility that Connectionism may provide an account of the neural (or ‘abstract neurological’) structures in which Classical cognitive architecture is implemented. We survey a n u m b e r o f t h e s t a n d a r d a r g u m e n t s t h a t h a v e b e e n o f f e r e d i n f a v o r o f Connectionism, and conclude that they are coherent only on this interpretation. (shrink)

Are there really beliefs? Or are we learning (from neuroscience and psychology, presumably) that, strictly speaking, beliefs are figments of our imagination, items in a superceded ontology? Philosophers generally regard such ontological questions as admitting just two possible answers: either beliefs exist or they don't. There is no such state as quasi-existence; there are no stable doctrines of semi-realism. Beliefs must either be vindicated along with the viruses or banished along with the banshees. A bracing conviction prevails, then, to the (...) effect that when it comes to beliefs (and other mental items) one must be either a realist or an eliminative materialist. (shrink)

Many weaknesses of game theory are cured by new models that embody simple cognitive principles, while maintaining the formalism and generality that makes game theory useful. Social preference models can generate team reasoning by combining reciprocation and correlated equilibrium. Models of limited iterated thinking explain data better than equilibrium models do; and they self-repair problems of implausibility and multiplicity of equilibria.

This paper argues that our folk-psychological expertise is a special case of extended and enculturated cognition where we learn to regulate both our own and others’ thought and action in accord with a wide array of culturally shaped folk-psychological norms. The view has three noteworthy features: it challenges a common assumption that the foundational capacity at work in folk-psychological expertise is one of interpreting behaviour in mentalistic terms, arguing instead that successful mindreading is largely a consequence of successful mindshaping; it (...) argues that our folk-psychological expertise is not only socially scaffolded in development, it continues to be socially supported and maintained in maturity, thereby presenting a radically different picture of what mature folk-psychological competency amounts to; it provides grounds for resisting a recent trend in theoretical explanations of quotidian social interaction that downplays the deployment of sophisticated mentalizing resources in understanding what others are doing. (shrink)

It is generally recognized that descriptive and normative individualism are logically independent theses. This paper defends the stronger view that recognition of the falsehood of descriptive individualism is crucial to understanding the evolutionary and developmental basis of normative individualism. The argument given for this is not analytic; rather, it is based on empirical generalizations about the evolution of markets with specialized labor, about the nature of information processing in large markets, and about the socialization of human children.

The author of Categories We Live By replies to critics Linda Martín Alcoff, Judith Butler, and Abraham Sesshu Roth.

The theme of this essay is rather simple, though its demonstration is not. It is that humans think reflexively or metamentally because -- and often in the forms in which -- they interpret each other. In this essay ‘metamental’ means ‘about mental’ and ‘reflexive mind’ means ‘a mind thinking about its own thoughts.’ To think reflexively or metamentally is to think about thoughts deliberately and explicitly, as in thinking that my current thoughts about metamentation are right. Thinking about thoughts requires (...) understanding thoughts as thoughts, as mental structures that represent; it also requires an ability to relate thoughts to other thoughts and to recognize such inter-thought relations. Since metamentation is essential to and uniquely distinctive of human minds, the idea that it originates in interpreting other minds can be encapsulated in the slogan that minds are minded because minds mind minds. This word play translates as: minds evolve into reflexive minds because they mind other minds -- where ‘minding other minds’ means interacting and bonding with other minds, being concerned or curious about them, representing their relations to the world, manipulating and using these relations for some purpose, and the like. All of this amounts (in my terminology) to interpreting other minds in social contexts of cooperation, communication, education, politics, and so on. It follows that intermental relations among individuals, handled by a distinct competence for interpretation, are essential to the evolution of abilities to represent intramental relations among thoughts, typical of a reflexive mind. I take ‘interpretation’ to be a convenient, short, and grammatically flexible label for what is known in philosophy as commonsense or folk psychology and in psychology as theory of mind, mindreading, or naive psychology. Interpretation is a cognitive rapport between an interpreter (she, in this book) and a subject (he), whereby she represents his mind-world relations, from the simplest, such as seeing.... (shrink)

ArgumentToday's models of temporal discounting are the result of multiple interdisciplinary exchanges between psychology and economics. Although these exchanges did not result in an integrated discipline, they had important effects on all disciplines involved. The paper describes these exchanges from the 1930s onwards, focusing on two episodes in particular: an attempted synthesis by psychiatrist George Ainslie and others in the 1970s; and the attempted application of this new discounting model by a generation of economists and psychologists in the 1980s, which (...) ultimately ended in thediversity of measurements disappointment. I draw four main conclusions. First, multiple notions of temporal discounting must be conceptually distinguished. Second, behavioral economics is not an integration or unification of psychology and economics. Third, the analysis identifies some central disciplinary markers that distinguish modeling strategies in economics and psychology. Finally, it offers a case of interdisciplinary success that does not fit the currently dominant account of interdisciplinarity as integration. (shrink)

Some behavioral economists argue that the honoring of social norms can be adequately modeled as the optimization of social utility functions in which the welfare of others appears as an explicit argument. This paper suggests that the large experimental claims made for social utility functions are premature at best, and that social norms are better studied as equilibrium selection devices that evolved for use in games that are seldom studied in economics laboratories.

The most plausible of Yarkoni's paths to recovery for psychology is the least radical one: psychologists need truly quantitative methods that exploit the informational power of variance and heterogeneity in multiple variables. If they drop ambitions to explain entire behaviors, they could find a box full of design and econometric tools in the parts of experimental economics that don't ape psychology.