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Clark, Andy : ウィキペディア英語版
Andy Clark

Andy Clark (born 1957) is a professor of philosophy and Chair in Logic and Metaphysics at the University of Edinburgh in Scotland.〔http://www.philosophy.ed.ac.uk/people/view.php?name=andy-clark-frse〕 Before this, he was director of the Cognitive Science Program at Indiana University in Bloomington, Indiana and previously taught at Washington University in St. Louis, Missouri and the University of Sussex in England. Clark is one of the founding members of the CONTACT collaborative research project whose aim is to investigate the role environment plays in shaping the nature of conscious experience. Clark's papers and books deal with the philosophy of mind and he is considered a leading scientist in mind extension. He has also written extensively on connectionism, robotics and the role and nature of mental representation.〔http://www.philosophy.ed.ac.uk/people/clark/publications.html〕
== General themes in Clark's work ==

Clark’s work explores a number of disparate but interrelated themes. Many of these themes run against established wisdom in cognitive processing and representation. According to traditional computational accounts, the function of the mind is understood as the process of creating, storing and updating internal representations of the world, on the basis of which other processes and actions may take place. Representations are updated to correspond with an environment in accordance with the function, goal-state, or desire of the system in question at any given time. Thus, for example, learning a new route through a maze-like building would be mirrored in a change in the representation of that building. Action, on this view, is the outcome of a process which determines the best way to achieve the goal-state or desire, based on current representations. Such a determinative process may be the purview of a Cartesian "central executive" or a distributed process like homuncular decomposition.
According to Clark, the computational model, which forms the philosophical foundation of artificial intelligence, engenders several intractable problems. One of the more salient is an information bottleneck: if, in order to determine appropriate actions, it is the job of the mind to construct detailed inner representations of the external world, then, as the world is constantly changing, the demands on the mental system will almost certainly preclude any action taking place. For Clark, we need relatively little information about the world before we may act effectively upon it. We tend to be susceptible to "grand illusion", where our impressions of a richly detailed world obscures a reality of minimal environmental information and quick action. We needn't try to reconstruct the detail of this world, as it is able to serve as its own best model from which to extract information "just in time".

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