Combining specialized reasoners and general purpose planners: a case study

Authors:
Subbarao Kambhampati;Mark Cutkosky;Marty Tenenbaum;Soo Hong Lee
Affiliations:
Center for Design Research, Dept. of Computer Science, Stanford University, Stanford, CA;Center for Design Research, Dept. of Mechanical Engg., Stanford University, Stanford, CA;Center for Integrated Systems, Dept. Computer Science, Stanford University, Stanford, CA;Center for Design Research, Dept. of Mechanical Engg., Stanford University, Stanford, CA
Venue:
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
Year:
1991

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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. Previous approaches for planning in such domains have either been largely domain specific or have employed shallow models of the domain-specific considerations. In this paper we investigate a hybrid planning model that utilizes a set of specialists to complement both the overall expressiveness and the reasoning power of a traditional hierarchical planner. Such a model retains the flexibility and generality of classical planning framework while allowing deeper and more efficient domain-specific reasoning through specialists. We describe a preliminary implementation of a planning architecture based on this model in a manufacturing planning domain, and use it to explore issues regarding the effect of the specialists on the planning, and the interactions and interfaces between them and the planner.