Case adaptation by segment replanning for case-based planning systems
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Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
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TONIDANDEL, F; RILLO, M. Case adaptation by segment replanning for case-based planning systems. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), v. 3620, p. 579-594, August, 2005.
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An adaptation phase is crucial for a good and reasonable Case-Based Planning (CBP) system. The adaptation phase is responsible for finding a solution in order to solve a new problem. If the phase is not well designed, the CBP system may not solve the desirable range of problems or the solutions will not have appropriate quality. In this paper, a method called CASER - Case Adaptation by Segment Replanning - is presented as an adaptation rule for case-based planning system. The method has two phases: the first one completes a retrieved case as an easy-to-generate solution method. The second phase improves the quality of the solution by using a generic heuristic in a recursive algorithm to determine segments of the plan to be replanned. The CASER method does not use any additional knowledge, and it can find as good solutions as those found by the best generative planners. © Springer-Verlag Berlin Heidelberg 2005.