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Connectionist approaches, Andy Clark argues, are driving cognitive science toward a radical reconception of its explanatory endeavor. At the heart of this reconception lies a shift toward a new and more deeply developmental vision of the mind - a vision that has important implications for the philosophical and psychological understanding of the nature of concepts, of mental causation, and of representational change.Combining philosophical argument, empirical results, and interdisciplinary speculations, Clark charts a fundamental shift from a static, inner-code-oriented conception of the subject matter of cognitive science to a more dynamic, developmentally rich, process-oriented view. Clark argues that this shift makes itself felt in two main ways. First, structured representations are seen as the products of temporally extended cognitive activity and not as the representational bedrock (an innate symbol system or language of thought) upon which all learning is based. Second, the relation between thoughts (as described by folk psychology) and inner computational states is loosened as a result of the fragmented and distributed nature of the connectionist representation of concepts. Other issues Clark raises include the nature of innate knowledge, the conceptual commitments of folk psychology, and the use and abuse of higher-level analyses of connectionist networks. Andy Clark is Reader in Philosophy of Cognitive Sciences in the School of Cognitive and Computing Sciences at the University of Sussex, in England. He's the author of Microcognition: Philosophy, Cognitive Science, and Parallel Distributed Processing.

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AI(Artificial intelligence) --- Apprentissage automatique --- Artificial intelligence --- Artificial thinking --- Artificiële intelligentie --- Automatisch aanleren --- Cerveaux électroniques --- Electronic brains --- Intellectronics --- Intelligence [Artificial ] --- Intelligence artificielle --- Intelligent machines --- Kunstmatige intelligentie --- Learning [Machine ] --- Machine intelligence --- Machine learning --- Machines intelligentes --- Pensée artificielle --- Thinking [Artificial ] --- Learning, Machine --- Machine theory --- AI (Artificial intelligence) --- Intelligence, Artificial --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Artificial intelligence. --- Machine Learning --- Machine learning. --- Systèmes, Conception de --- System design

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Artificial intelligence. Robotics. Simulation. Graphics --- 159.95*1 --- Artificial intelligence --- -Artificial intelligence --- -AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Cognitieve psychologie --- Data processing --- -Problems, exercises, etc --- Computer programs --- Problems, exercises, etc. --- -Cognitieve psychologie --- 159.95*1 Cognitieve psychologie --- -159.95*1 Cognitieve psychologie --- AI (Artificial intelligence) --- Computer programs&delete& --- Problems, exercises, etc --- Data processing&delete& --- Computer programs&delete&&delete& --- Data processing&delete&&delete&