The Three Papers comprising this series, together with my earlier [34] also published in this journal, constitute an attempt to set out the major issues in the theoretical domain of reduction and to develop a general theory of theory reduction. The fourth paper, [34], though published separately from this trio, is integral to the presentation and should be read in conjunction with these papers. Even so, the presentation is limited in scope – roughly, to intertheoretic reduction among empirical theories – (...) and informal in presentation – not least because a satisfying formal account of theories has yet to be offered. And despite the length, the treatment is still condensed; often corroborating and/or intuitively helpful detail has had to be consigned to footnotes or omitted. I approach the problem from within my own naturalistic realist philosophy of science and formal analysis of abstract hierarchy in theory. The sources for the former are [25], [29], [31], and [32] and those for the latter essentially [27] and [30]. Hierarchical notions played a significant role in the already published [34]. (shrink)

This is a unique book. It is excellently written, crammed with information, wise and a pleasure to read.' ---Daniel C. Dennett, Tufts University.

This systematic investigation of computation and mental phenomena by a noted psychologist and computer scientist argues that cognition is a form of computation, that the semantic contents of mental states are encoded in the same general way as computer representations are encoded. It is a rich and sustained investigation of the assumptions underlying the directions cognitive science research is taking. 1 The Explanatory Vocabulary of Cognition 2 The Explanatory Role of Representations 3 The Relevance of Computation 4 The Psychological Reality (...) of Programs: Strong Equivalence 5 Constraining Functional Architecture 6 The Bridge from Physical to Symbolic: Transduction 7 Functional Architecture and Analogue Processes 8 Mental Imagery and Functional Architecture 9 Epilogue: What is Cognitive Science the Science of? (shrink)

"This book is a comprehensive attack on several of the views that have been most influential in the philosophy of psychology during the last two decades. Professor Baker argues that mentalistic notions should not be eliminated, and need not be explained in terms of other notions, in cognitive science.' The book is interesting and shows an honest concern for clear argumentation. It deserves a wide readership." --Tyler Burge, University of California at Los Angeles"This book is a provocative and relentlessly argued (...) treatment of a deep and important topic: the fate of intentionality. Baker's arguments oblige those who wish to defend the current conception of cognitive science to rethink the discipline. She has put the ball squarely in the physicalists' court. ... Despite the technical character of the topic, the book is wonderfully readable."--John Heil, Visiting Fellow, University of California, BerkeleyThis stimulating book critically examines a wide range of physicalistic conceptions of mind in the works of Jerry A. Fodor, Stephen P. Stich, Paul M. Churchland, Daniel C. Dennett, and others. Part I argues that intentional concepts cannot be reduced to nonintentional (and nonsemantic) concepts; Part II argues that intentional concepts are nevertheless indispensable to our cognitive enterprises and thus need no foundation in physicalism.As a sustained challenge to the prevailing interpretation of cognitive science, this timely book fills a large gap in the philosophical literature. It is sure to spark controversy, yet its clarity makes it attractive as a text in upper-level undergraduate and graduate courses in philosophy of mind and cognitive science. Saving Belief should be read byphilosophers, psychologists, and others interested in the philosophy of language, philosophy of mind, and cognitive science. (shrink)

A Neurocomputationial Perspective illustrates the fertility of the concepts and data drawn from the study of the brain and of artificial networks that model the...

Somewhat loose arguments that non-reductive physicalist realism is untenable. Anomalous monism makes the mental irrelevant, functionalism is compatible with species-specific reduction, and supervenience is weak or reductive.

Davidson's principle of the anomalousness of the mental was instrumental in discrediting once-popular versions of mind-brain reductionism. In this essay I argue that a novel account of intertheoretic reduction, which does not require the sort of cross-theoretic bridge laws that Davidson's principle rules out, allows a version of mind-brain reductionism which is immune from Davidson's challenge. In the final section, I address a second worry about reductionism, also based on Davidson's principle, that survives this response. I argue that new reductionists (...) should revise some significant details of the program, particularly the conception of theories, to circumvent this more potent Davidson-inspired worry. (shrink)

The argument from multiple realizability is that, because quite diverse physical systems are capable of giving rise to identical psychological phenomena, mental states cannot be reduced to physical states. This influential argument depends upon a theory of reduction that has been defunct in the philosophy of science for at least fifteen years. Better theories are now available.

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)