Planning and Learning by Analogical Reasoning
@inproceedings{Veloso1994PlanningAL, title={Planning and Learning by Analogical Reasoning}, author={Manuela M. Veloso}, booktitle={Lecture Notes in Computer Science}, year={1994} }
Overview.- The problem solver.- Generation of problem solving cases.- Case storage: Automated indexing.- Efficient case retrieval.- Analogical replay.- Empirical results.- Related work.- Conclusion.
370 Citations
Solution-Relevant Abstractions Constrain Retrieval and Adaptation
- Computer ScienceICCBR
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For analogical theorem proving by induction, this work describes how a solution-relevant abstraction can restrict the retrieval of source cases and the mapping from the source problem to the target problem and how it can determine reformulations that further adapt the source solution.
SiN: Integrating Case-based Reasoning with Task Decomposition
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Novel case-based planning algorithm that combines conversational case retrieval with generative planning that is provably correct, and can generate plans given an incomplete domain theory by using cases to extend that domain theory.
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An approach is described for implementing the SAGE™ analogical reasoning system on a parallel recirculating computer architecture to increase the efficiency of planning, infer missing structure in test cases, and classify cases across domains.
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The paper provides a definition of reformulation and shows how reformulation is linked to retrieval and adaptation in the case-based reasoning cycle.
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An algorithm for completely replaying previous problem solving experiences for plan-space planners, where not only the solution trace is replayed, but also the explanations of failed attempts made by the first-principle planner are explained.
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This paper presents preliminary ideas of our work for automated learning of Hierarchical Goal Networks in nondeterministic domains. We are currently implementing the ideas expressed in this paper.
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Planning means constructing a course of actions to achieve a specified set of goals when starting from an initial situation. For example, determining a sequence of actions (a plan) for transporting…
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This paper defines a “simplification problem”, then describes the approach to solving design simplification problems by analogical reasoning, and draws conclusions and proposes directions for future research.
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The paper describes some peculiarities of proof planning and discusses some possible cross-fertilization of planning and proof planning.
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The paper adresses proof planning as a specific AI planning. It describes some peculiarities of proof planning and discusses some possible cross-fertilization of planning and proof pl anning.