Motivation analysis, abductive unification, and nonmonotonic equality
Artificial Intelligence
The flexible use of abstract knowledge in planning
The flexible use of abstract knowledge in planning
Explanation Patterns: Understanding Mechanical and Creatively
Explanation Patterns: Understanding Mechanical and Creatively
Knowledge-Based Systems in Artificial Intelligence: 2 Case Studies
Knowledge-Based Systems in Artificial Intelligence: 2 Case Studies
A process model of cased-based reasoning in problem solving
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Representation and use of explicit justifications for knowledge base refinements
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
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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.