A representation is a remnant of previous experience that allows that experience to affect later behavior. This paper develops a metatheoretical view of representation and applies it to issues concerning representation in animals. To describe a representational system one must specify the following: thedomainor range of situations in the represented world to which the system applies; thecontentor set of features encoded and preserved by the system; thecodeor transformational rules relating features of the representation to the corresponding features of the represented (...) world; themedium, or the representation's physical instantiation; and thedynamics, or how the system changes with time. In part because of the behaviorist assumption that the hypothetical, covert changes occurring in an organism during learning correspond to the overt physical changes that are observed, issues of representation in animal behavior have been largely ignored as irrelevant or misleading. However, it can be inferred that representations, acting as models of environmental regularities, operate at many levels of behavioral functioning, both cognitive and noncognitive. Objections to the use of this concept in explanations of animal behavior, based on the claim that it is indeterminate and on behaviorist considerations of parsimony, can be answered. Animal representations may be specialized in terms of tasks and species. Data from tasks involving spatial memory, delayed matching-to-sample, and sequence learning suggest some foundations for a general theory of animal representations. (shrink)

CONSCIOUSNESS AND THE BRAIN SELF-REGULATION PARADOX The relationship of consciousness to biology has intrigued mankind thoroughout recorded history. However, little progress has been made not only in understanding these issues but also in raising fundamental questions central to the problem. As Davidson and Davidson note in their introduction, William James suggested, almost a century ago in his Principles of Psychology, that the brain was the organ of mind and be havior. James went so far as to suggest that the remainder (...) of the Principles was but a "footnote" to this central thesis. This volume brings together diverse biobehavioral scientists who are addressing the various aspects of the mindlbrainlbodylbehavior issue. Although some of the authors have previously published together in other volumes, by and large the particular combination of authors and topics selected by the editors makes this volume unique and timely. Unlike the Consciousness and Self-Regulation series (Schwartz & Shapiro, 1976, 1978), also published by Plenum, this volume is devoted entirely to a psychobiological approach to consciousness. Although readers will differ in their interest in specific chapters, the well-rounded investigator who is concerned with the psychobiology of consciousness will want to become intimately acquainted with all the views presented in this volume. As noted by the individual contributors, the topic of this volume stimulates fundamental questions which, on the surface, may appear trivial, yet, on further reflection, turn out to have deep significance. (shrink)

The computational view of mind rests on certain intuitions regarding the fundamental similarity between computation and cognition. We examine some of these intuitions and suggest that they derive from the fact that computers and human organisms are both physical systems whose behavior is correctly described as being governed by rules acting on symbolic representations. Some of the implications of this view are discussed. It is suggested that a fundamental hypothesis of this approach is that there is a natural domain of (...) human functioning that can be addressed exclusively in terms of a formal symbolic or algorithmic vocabulary or level of analysis. Much of the paper elaborates various conditions that need to be met if a literal view of mental activity as computation is to serve as the basis for explanatory theories. The coherence of such a view depends on there being a principled distinction between functions whose explanation requires that we posit internal representations and those that we can appropriately describe as merely instantiating causal physical or biological laws. In this paper the distinction is empirically grounded in a methodological criterion called the " cognitive impenetrability condition." Functions are said to be cognitively impenetrable if they cannot be influenced by such purely cognitive factors as goals, beliefs, inferences, tacit knowledge, and so on. Such a criterion makes it possible to empirically separate the fixed capacities of mind from the particular representations and algorithms used on specific occasions. In order for computational theories to avoid being ad hoc, they must deal effectively with the "degrees of freedom" problem by constraining the extent to which they can be arbitrarily adjusted post hoc to fit some particular set of observations. This in turn requires that the fixed architectural function and the algorithms be independently validated. It is argued that the architectural assumptions implicit in many contemporary models run afoul of the cognitive impenetrability condition, since the required fixed functions are demonstrably sensitive to tacit knowledge and goals. The paper concludes with some tactical suggestions for the development of computational cognitive theories. (shrink)

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)

I NATURE AND TRADITION Quemcunque aegrum ingenio praestaittem curanJum invisebat , siquidem morbi vehementia pateretur, . . .familiarem cum eo sermonem aliquandiu conferebat, cum pbilosophis Pbilosopkica, cum Mathematicis Mathematica, ..