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Journals ACM SIGART Bulletin Volume 2 Issue 1

Case-Based Planning: Viewing Planning as a Memory Task Krlstian J. Hammond Academic Press, 1989 ISBN 0 - 1 2 - 3 2 2 0 6 0 - 2 277 Pages Reviewed by: Karl R. Wurst R. Frank Chicken C e n t e r F o r A u t o m a t e d Reasoning R e s e a r c h C o m p u t e r Science & Engineering University o f Connecticut wurstk@ctstateu.bitnet Much of the research at the Yale AI Lab relates to the investigation of memory. Learning and reminding form the basis of easebased reasoning in general and ease-based planning (CBP) in particular. By remembering past successes and failures in planning, a planner may reduce much of its work to retrieving previously used plans and applying them to the situation at hand. Case-Based Planning is a republishing of Kristian Hammond's Ph.D. dissertation at Yale under Roger Sehank. It is the first volume in Academic Press' Perspectives in Artificial Intelligence series. The format of Hammond's original dissertation has been kept, with added prefaces by Roger Schank and Drew McDermott. A nice feature of the format is the use of

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Book review: Case-Based Planning: Viewing Planning as a Memory Task by Krlstian J. Hammond (Academic Press, 1989)

Reviewer-Wurst, Karl R.
ACM SIGART Bulletin , Volume 2 (1)
Association for Computing Machinery – Nov 1, 1990

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