Generalized clustering, supervised learning, and data assignment
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Using genetic programming to learn and improve control knowledge
Artificial Intelligence
Integrating Conversational Case Retrieval with generative Planning
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
A Case Retention Policy Based on Detrimental Retrieval
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
CBR for Complex Objects Represented in Hierarchical Information Systems
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Advanced Engineering Informatics
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Minds and Machines
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Proteus: Visuospatial analogy in problem-solving
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PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Hierarchical Classifiers for Complex Spatio-temporal Concepts
Transactions on Rough Sets IX
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Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
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AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Measuring the level of transfer learning by an AP physics problem-solver
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
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Journal of Artificial Intelligence Research
FLECS: planning with a flexible commitment strategy
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
Evaluating a decision-theoretic approach to Tailored example selection
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Using introspective reasoning to refine indexing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
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Artificial Intelligence
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AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Derivational analogy: challenges and opportunities
EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
On-Line elimination of non-relevant parts of complex objects in behavioral pattern identification
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Cooperative reuse for compositional cases in multi-agent systems
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Cognitive architectures: Research issues and challenges
Cognitive Systems Research
A computational model of visual analogies in design
Cognitive Systems Research
Domain transfer via cross-domain analogy
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Cognitive Systems Research
Acquisition of hierarchical reactive skills in a unified cognitive architecture
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Case-based Planning of Treatment of Infants with Respiratory Failure
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Rough Set Approach to Behavioral Pattern Identification
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Behavioral Pattern Identification Through Rough Set Modeling
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
Calculi of Approximation Spaces
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
A theory of transfer learning with applications to active learning
Machine Learning
A case-based approach to heuristic planning
Applied Intelligence
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Expertise consists of rapid selection and application of compiled experience. Robust reasoning, however, requires adaptation to new contingencies and intelligent modification of past experience. And novel or creative reasoning, by its real nature, necessitates general problem-solving abilities unconstrained by past behavior. This article presents a comprehensive computational model of analogical (case-based) reasoning that transitions smoothly between case replay, case adaptation, and general problem solving, exploiting and modifying past experience when available and resorting to general problem-solving methods when required. Learning occurs by accumulation of new cases, especially in situations that required extensive problem solving, and by tuning the indexing structure of the memory model to retrieve progressively more appropriate cases. The derivational replay mechanism is discussed in some detail, and extensive results of the first full implementation are presented. These results show up to a large performance improvement in a simple transportation domain for structurally similar problems, and smaller improvements when less strict similarity metrics are used for problems that share partial structure in a process-job planning domain and in an extended version of the strips robot domain.