Plan reuse versus plan generation: a theoretical and empirical analysis
Artificial Intelligence - Special volume on planning and scheduling
Fast planning through planning graph analysis
Artificial Intelligence
Artificial Intelligence - Special issue on heuristic search in artificial intelligence
Planning and Learning by Analogical Reasoning
Planning and Learning by Analogical Reasoning
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
An Accurate Adaptation-Guided Similarity Metric for Case-Based Planning
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
The FF planning system: fast plan generation through heuristic search
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
SUBSTITUTIONAL ADAPTATION IN CASE-BASED REASONING: A GENERAL FRAMEWORK APPLIED TO P-TRUCK CURING
Applied Artificial Intelligence
An Analysis of Research Themes in the CBR Conference Literature
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Adaptation versus Retrieval Trade-Off Revisited: An Analysis of Boundary Conditions
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Abstraction in Knowledge-Rich Models for Case-Based Planning
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
An analysis of transformational analogy: general framework and complexity
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Expert Systems with Applications: An International Journal
Metadata support to retrieve and revise solutions in case-based reasoning
International Journal of Metadata, Semantics and Ontologies
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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.