Model-Based Case Adaptation

Eric K. Jones

In this paper, we demonstrate an important role for model-based reasoning in case adaptation. Model-based reasoning can allow a case-based reasoner to apply cases to a wider range of problems than would otherwise be possible. We focus on case adaptation in BRAINSTORMER, a planner that uses abstract advice to help it plan in the domain of political and military policy as it relates to terrorism. We show that by equipping a case adapter with an explicit causal model of the planning process, cases presented as advice can be flexibly applied to difficulties that arise at a variety of different stages of planning.


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