Case-Based Reasoning for Real-Time Problem Solving
Abstract
This document summarizes the University of Chicago Artificial Intelligence laboratory'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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 1992
- Accession Number
- ADA258697
Entities
People
- Charles E. Martin
- Christopher C. Owens
- Kristian J. Hammond
Organizations
- University of Chicago