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Conference proceeding
Using Meta-reasoning to Improve the Performance of Case-Based Planning
CASE-BASED REASONING RESEARCH AND DEVELOPMENT, PROCEEDINGS, v 5650, pp 210-224
01 Jan 2009
Abstract
Case-based planning (CBP) systems are based oil the idea of reusing past successful plans for solving new problems. Previous research has shown the ability of meta reasoning approaches to improve the performance of CBP systems. In this paper we present a new meta-reasoning approach for autonomously improving the performance of CBP systems that operate in real-time domains. Our approach uses failure patterns to detect anomalous behaviors, and it can learn from experience which of the failures detected are important enough to be fixed. Finally, our meta-reasoning approach can exploit both successful and failed executions for meta-reasoning. We illustrate its benefits with experimental results from a system implementing our approach called Meta-Darmok in a real-time strategy game. The evaluation of Meta-Darmok shows that the system successfully adapts itself and its performance improves through appropriate revision of the case base.
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Details
- Title
- Using Meta-reasoning to Improve the Performance of Case-Based Planning
- Creators
- Manish Mehta - Georgia Institute of TechnologySantiago Ontanon - Georgia Institute of TechnologyAshwin Ram - Georgia Institute of Technology
- Contributors
- L McGinty (Editor)D C Wilson (Editor)
- Publication Details
- CASE-BASED REASONING RESEARCH AND DEVELOPMENT, PROCEEDINGS, v 5650, pp 210-224
- Series
- Lecture Notes in Artificial Intelligence
- Publisher
- Springer Nature
- Number of pages
- 15
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000271335600016
- Scopus ID
- 2-s2.0-70350370053
- Other Identifier
- 991021869113704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Theory & Methods