Introduction to artificial intelligence
Introduction to artificial intelligence
SOAR: an architecture for general intelligence
Artificial Intelligence
Case-based planning: viewing planning as a memory task
Case-based planning: viewing planning as a memory task
Planning from second principles
Artificial Intelligence
Planning and Learning by Analogical Reasoning
Planning and Learning by Analogical Reasoning
Integrated Case-Based Building Design
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Reformulation in Case-Based Reasoning
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Learning to Improve Case Adaption by Introspective Reasoning and CBR
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Spatial composition using cases: IDIOM
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Operator Decision Aiding by Adaption of Supervision Strategies
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
A Case Study of Case-Based CBR
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Adaptation Using Constraint Satisfaction Techniques
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Building and refining abstract planning cases by change of representation language
Journal of Artificial Intelligence Research
Storing and indexing plan derivations through explanation-based analysis of retrieval failures
Journal of Artificial Intelligence Research
A domain-independent algorithm for plan adaptation
Journal of Artificial Intelligence Research
Learning to integrate multiple knowledge sources for case-based reasoning
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
A model of analogy-driven proof-plan construction
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Stratified case-based reasoning: reusing hierarchical problem solving episodes
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Case-based similarity assessment: estimating adaptability from experience
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Acquiring case adaptation knowledge: a hybrid approach
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Case-Based Reasoning for Breast Cancer Treatment Decision Helping
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Adaptation Using Iterated Estimations
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Label Ranking in Case-Based Reasoning
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Towards a general framework for substitutional adaptation in case-based reasoning
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Engineering and learning of adaptation knowledge in case-based reasoning
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Metadata support to retrieve and revise solutions in case-based reasoning
International Journal of Metadata, Semantics and Ontologies
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Case-based reasoning exploits memorized problem solving episodes, called cases, in order to solve a new problem. Adaptation is a complex and crucial step of case-based reasoning which is generally studied in the restricted framework of an application domain. This article proposes a first analysis of case adaptation independently from a specific application domain. It proposes to combine the retrieval and adaptation steps in a unique planning process that builds an ordered sequence of operations starting from an initial state (the stated problem) and leading to a final state (the problem once solved). Thus, the issue of case adaptation can be addressed by studying the issue of plan adaptation. Finally, it is shown how case retrieval and case adaptation can be related thanks to reformulations and similarity paths.