Certains énoncés sont en eux-mêmes l'acte qu'ils désignent. Ainsi, lorsque le maire prononce la formule rituelle " je vous marie ", il marie par la seule énonciation de cette phrase ; même chose lorsqu'on baptise un enfant ou un navire, lorsqu'on fait une promesse, etc. Ces énoncés particuliers qui constituent par leur profération même ce qu'ils désignent, aussi on les nomme performatifs. Cette trouvaille de génie a bouleversé la linguistique, y ouvrant un champ nouveau - celui de la théorie des (...) actes du discours. Ce livre, novateur et subtil, écrit avec grâce et humour, est devenu l'un des classiques de la philosophie analytique anglo-saxonne. Traduction et introduction de Gilles Lane. Postface de François Récanati. (shrink)

INTRODUCTION: TWO KINDS OF RLDUCTIONISM The man who laughs is the one who has not yet heard the terrible news. BERTHOLD BRECHT I propose, in this book, ...

A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These hypotheses are shown to be incompatible with the hypotheses underlying traditional cognitive models. The connectionist models considered are massively parallel numerical computational systems that are a kind of continuous dynamical system. The numerical variables in the system correspond semantically to fine-grained features below the level of the concepts consciously used to describe the task domain. The level of analysis is intermediate between those of symbolic cognitive models (...) and neural models. The explanations of behavior provided are like those traditional in the physical sciences, unlike the explanations provided by symbolic models. (shrink)

Cognitive science is, of course, not really a new discipline, but a recognition of a fundamental set of common concerns shared by the disciplines of psychology, computer science, linguistics, economics, epistemology, and the social sciences generally. All of these disciplines are concerned with information processing systems, and all of them are concerned with systems that are adaptive—that are what they are from being ground between the nether millstone of their physiology or hardware, as the case may be, and the upper (...) millstone of a complex environment in which they exist. Systems that are adaptive may equally well be described as “artificial,” for as environments change, they can be expected to change too, as though they were deliberately designed to fit those environments (as indeed they sometimes are).The task of empirical science is to discover and verify invariants in the phenomena under study. The artificiality of information processing systems creates a subtle problem in defining empirical invariants in such systems. For observed regularities are very likely invariant only within a limited range of variation in their environments, and any accurate statement of the laws of such systems must contain reference to their relativity to environmental features. It is a common experience in experimental psychology, for example, to discover that we are studying sociology—the effects of the past histories of our subjects—when we think we are studying physiology—the effects of properties of the human nervous system. Similarly, business cycle economists are only now becoming aware of the extent to which the parameters of the system they are studying are dependent on the experiences of a population with economic events over the previous generation.In artificial sciences, the descriptive and the normative are never far apart. Thus, in economics, the “principle of rationality” is sometimes asserted as a descriptive invariant, sometimes as advice to decision makers. Similarly, in psychology, the processes of adaptation (learning) have always been a central topic, at one time a topic that dominated the whole field of research. Linguistics, too, has suffered its confusions between descriptive and normative attitudes towards its subject. But we must avoid the error, in studying information processing systems, of thinking that the adaptive processes themselves must be invariant; and we must be prepared to face the complexities of regression in the possibility that they themselves may be subject to improvement and adaptation.It might have been necessary a decade ago to argue for the commonality of the information processes that are employed by such disparate systems as computers and human nervous systems. The evidence for that commonality is now overwhelming, and the remaining questions about the boundaries of cognitive science have more to do with whether there also exist nontrivial commonalities with information processing in genetic systems than with whether men and machines both think. (shrink)

For several decades, Dr. Morris has worked primarily with twoproblems: the development of a general theory of signs, and thedevelopment of a general theory of value. He approached both problemsin terms of George Mead's theory of action or behavior. This bookbrings together these two lines of development. For several decades, Dr. Morris has worked primarily with two problems: the development of a general theory of signs, and the development of a general theory of value. He approached both problems in terms (...) of George Mead's theory of action or behavior. This book brings together these two lines of development. In many languages there is a term like the English "meaning" which has two poles: that which something signifies and the value or significance of what is signified. The nature of signification and significance, as well as their relations within human behavior, is the subject matter of this book. This book is addressed to philosophers and to students of the behavioral sciences, but it will also appeal to anyone seriously interested in the study of human communication. (shrink)

"There are books—few and far between—which carefully, delightfully, and genuinely turn your head inside out. This is one of them. It ranges over some central issues in Western philosophy and begins the long overdue job of giving us a radically new account of meaning, rationality, and objectivity."—Yaakov Garb, _San Francisco Chronicle_.

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)

In this lucid portrayal of human behavior, Fred Dretske provides an original account of the way reasons function in the causal explanation of behavior.

In _Matter and Consciousness_, Paul Churchland presents a concise and contemporary overview of the philosophical issues surrounding the mind and explains the main theories and philosophical positions that have been proposed to solve them. Making the case for the relevance of theoretical and experimental results in neuroscience, cognitive science, and artificial intelligence for the philosophy of mind, Churchland reviews current developments in the cognitive sciences and offers a clear and accessible account of the connections to philosophy of mind. For this (...) third edition, the text has been updated and revised throughout. The changes range from references to the iPhone's "Siri" to expanded discussions of the work of such contemporary philosophers as David Chalmers, John Searle, and Thomas Nagel. Churchland describes new research in evolution, genetics, and visual neuroscience, among other areas, arguing that the philosophical significance of these new findings lies in the support they tend to give to the reductive and eliminative versions of materialism. Matter and Consciousness, written by the most distinguished theorist and commentator in the field, offers an authoritative summary and sourcebook for issues in philosophy of mind. It is suitable for use as an introductory undergraduate text. (shrink)

Pour la sémantique moderne, le sens d'un texte n'est plus seulement accessible à l'intuition : il peut se décrire rationnellement. L'analyse reconnaît d'abord dans chaque mot des composants élémentaires propres à la langue, que le contexte et la situation de communication convoquent ou virtualisent. Paradoxalement, cette microsémantique permet aussi de fonder la sémantique textuelle. Si bien qu'en deçà comme au-delà de la prétendue limite de la phrase se met à l'œuvre une théorie descriptive unifiée. De manière cohérente, elle permet de (...) rendre compte de questions éparses léguées par les traditions de la logique, de la rhétorique, de l'exégèse ou de la critique littéraire : métaphore, double sens, hypallage, tautologie, contradiction, thème et topos, etc. Toutefois le sens du texte n'est pas donné, mais construit par des stratégies de lecture. Aussi cette recherche s'ouvre-t-elle sur une théorie de l'interprétation, qui va de l'assignation du sens lexical à la construction des grandes unités textuelles. Elle ne cherche pas à énoncer le sens, mais à évaluer la plausibilité de divers parcours interprétatifs. Ce traité propose aussi des outils descriptifs aux linguistes, spécialistes de la littérature, historiens, psychologues, enseignants, bref à tous ceux qui ont affaire au texte, cette dimension majeure des langues. (shrink)

"Eco wittily and enchantingly develops themes often touched on in his previous works, but he delves deeper into their complex nature... this collection can be read with pleasure by those unversed in semiotic theory." —Times Literary Supplement.

Written in an outstandingly clear and lively style, this 1969 book provokes its readers to rethink issues they may have regarded as long since settled.

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)

The Mind-Body Problem Questions: What is the mind? What is its connection to the body? Most basic division of answers: Dualist and Materialist (or Physicalist) responses.