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The nature of complex concepts has important implications for the computational modelling of the mind, as well as for the cognitive science of concepts. This paper outlines the way in which RVC â a Relational View of Concepts â accommodates a range of complex concepts, cases which have been argued to be non-compositional. RVC attempts to integrate a number of psychological, linguistic and psycholinguistic considerations with the situation-theoretic view that information-carrying relations hold only relative to background situations. The central tenet of RVC is that the content of concepts varies systematically with perspective. The analysis of complex concepts indicates that compositionality too should be considered to be sensitive to perspective. Such a view accords with concepts and mental states being situated and the implications for theories of concepts and for computational models of the mind are discussed.
Does recent work in the cognitive sciences have any implications for theories or methods employed within the philosophy of science itself? It does if one takes a naturalistic approach in which understanding the nature of representations or judgments of representational success in science requires reference to the cognitive capacities or activities of individual scientists. Here I comment on recent contributions from three areas of the cognitive sciences represented respectively by Paul Churchland's neurocomputational perspective, Nancy Nersessian's cognitive-historical approach, and Paul Thagard's computational philosophy of science. The main general conclusion is that we need to replace traditional linguistic notions of representation in science.
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The use of the computer metaphor has led to the proposal of mind architecture (Pylyshyn 1984; Newell 1990) as a model of the organization of the mind. The dualist computational model, however, has, since the earliest days of psychological functionalism, required that the concepts mind architecture and brain architecture be remote from each other. The development of both connectionism and neurocomputational science, has sought to dispense with this dualism and provide general models of consciousness – a uniform cognitive architecture –, which is in general reductionist, but which retains the computer metaphor. This paper examines, in the first place, the concepts of mind architecture and brain architecture, in order to evaluate the syntheses which have recently been offered. It then moves on to show how modifications which have been made to classical functionalist mind architectures, with the aim of making them compatible with brain architectures, are unable to resolve some of the most serious problems of functionalism. Some suggestions are given as to why it is not possible to relate mind structures and brain structures by using neurocomputational approaches, and finally the question is raised of the validity of reductionism in a theory which sets out to unite mind and brain architectures.
Taking inspiration from developments in neurocomputational modeling, Paul Church-land develops his positions in the philosophy of mind and the philosophy of science. Concerning the former, Churchland relaxes his eliminativism at various points and seems to endorse a traditional identity account of sensory qualia. Although he remains unsympathetic to folk psychology, he no longer seeks the elimination of normative epistemology, but rather its transformation to a philosophical enterprise informed by current developments in the relevant sciences. Churchland supplies suggestive discussions of the character of knowledge, simplicity, explanation, theory, and conceptual change. Many of his treatments turn on his prototype activation model of neural representation, which looks to the notion of a 'prototype' as it is employed in the psychological literature on concept representation, however, this and other features of Churchland's neurocomputational program do not square well with some of his views about cross-scientific relations.
A Neurocomputational Perspective , it comes of age as philosophy of mind as well. This book demands to be read by connectionists who wish to understand the philosophical context and ramifications of their work, and by philosophers who wish to understand connectionism and the nature of mind more generally.
Discussion of Paul M. Churchland, A Neurocomputational Perspective: The Nature of Mind and the Structure of Science
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