Situated Cognition: On Human Knowledge and Computer Representations (Learning in Doing: Social, Cognitive and Computational Perspectives)
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Language: English
Published by Cambridge University Press, 1997
- Softcover
- Used

Softcover
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Previous Library Book has marking related to Library edition. Pages are in very good condition.
Seller Inventory # MGV.0521448719.G
- Title
- Situated Cognition: On Human Knowledge and Computer Representations (Learning in Doing: Social, Cognitive and Computational Perspectives)
- Author
- Clancey, William J.
- Publisher
- Cambridge University Press
- Publication year
- 1997
- Condition
- good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0521448719
- ISBN 13
- 9780521448710
This text deals with recent changes in the design of intelligent machines. New computer models of vision and navigation in animals suggest a different way to build machines. Cognition is viewed not just in terms of high-level "expertise," but in the ability to find one's way around the world, to learn new ways of seeing things, and to coordinate activity. This approach is called situated cognition. Situated Cognition differs from other purely philosophical treatises in that Clancey, an insider who has built expert systems for twenty years, explores the limitations of existing computer programs and compares them to human memory and learning capabilities. Clancey examines the implications of "situated action" from the perspective of artificial intelligence specialists interested in building robots.
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From the Back Cover
This book is about recent changes in the design of intelligent machines. New computer models of vision and navigation in animals suggest a different way to build machines. Cognition is viewed not just in terms of high-level "expertise", but in terms of the ability to find one's way around the world, to learn new ways of seeing things, and to coordinate activity. This approach is called situated cognition. Situated Cognition differs from other purely philosophical treatises in that Clancey, who has built expert systems for twenty years, explores the limitations of existing computer programs and compares them to human memory and learning capabilities. He examines the implications of situated action from the perspective of artificial intelligence specialists interested in building robots and cognitive scientists seeking to relate descriptive models to neural and social views of knowledge.
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