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Planning and scheduling in AIAn account is given of the many related activities employing AI that are classifiable as 'automatic planning and scheduling'. A human can form plans and successfully execute them, but no current automatic-planning AI system can match this robustness and generality; it is in fact suggested that automatic planning is unlikely to be achieved by a general-purpose planning system. It is judged likely that partially-specialized planners will emerge for the efficient solution of specific classes of problems. Current planners are also found to make unrealistic informational demands, especially in the requirement that the 'state of the world' be known at all times, and that the only changes that occur are under the planner's control.
Document ID
19890043714
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Cheeseman, Peter
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1988
Subject Category
Systems Analysis
Accession Number
89A31085
Distribution Limits
Public
Copyright
Other

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