DocumentCode :
1013702
Title :
Integrating general purpose planners and specialized reasoners: case study of a hybrid planning architecture
Author :
Kambhampati, S. ; Cutkosky, Mark R. ; Tenenbaum, J.M. ; Lee, Soo Hong
Author_Institution :
Stanford Univ., CA, USA
Volume :
23
Issue :
6
fYear :
1993
Firstpage :
1503
Lastpage :
1518
Abstract :
Many real-world planning problems involve substantial amounts of domain-specific reasoning that is either awkward or inefficient to encode in a general purpose planner. A hybrid planning architecture for such domains is proposed. It utilizes a set of specialists to complement both the overall expressiveness and the efficiency of a traditional hierarchical planner. Such an architecture promises to retain the flexibility and generality of a classical planning framework while allowing deeper and more efficient domain-specific reasoning through specialists. The architecture has several ramifications on the internal operations of the planner as well as its interactions with the specialists. Continual interactions between the planner and the specialists necessitate an incremental, interactive, and least-commitment oriented approach to planning. As the planner and the specialists in such a model may use heterogeneous reasoning mechanisms and representations, a complete understanding of the operations of one by the other is not possible
Keywords :
manufacturing data processing; planning (artificial intelligence); domain-specific reasoning; general purpose planners; heterogeneous reasoning mechanisms; hierarchical planner; hybrid planning architecture; incremental interactive and least-commitment-oriented approach; specialized reasoners; Artificial intelligence; Clamps; Computer aided software engineering; Computer science; Costs; Geometry; Kinematics; Laboratories; Machining; Pulp manufacturing;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/21.257750
Filename :
257750
Link To Document :
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