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Case-Based Reasoning for Real-Time Problem Solving

机译：基于案例推理的实时问题解决方案

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This document summarizes the University of Chicago Artificial Intelligencelaboratory's work on applying case-based methods to intelligent real-time problem solving. An approach to problem solving involving the storage, retrieval, adaptation, and re-use of successful strategies is outlined. The report describes work on an overall control architecture, on methodological issues in the development of representation vocabularies, and on memory organization for efficient storage and retrieval of cases. Work on six projects is described including work on robot planning, the dynamic repair of transportation schedules, multi-agent cooperative planning, case-based design, and active perception. The result of this work is a model of planning and execution that handles the complexity and instability of a dynamic, real-time environment by making use of known plans stored in memory.... Artificial intelligence, Real-time problem solving, Case-based reasoning, Memory organization.

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