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Plan-then-compile architectures

Published:01 July 1991Publication History
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Abstract

Several architectures have recently been developed which integrate planning, reacting, and knowledge compilation learning, in order to improve system reactivity while retaining system flexibility. This paper assesses strengths and weaknesses of such Plan-Then-Compile architectures, by analyzing one such architecture, Theo-Agent [Mitchell 90]. We describe capabilities and limitations of the Theo-Agent, and use these to try to understand the generic capabilities and limits of Plan-Then-Compile architectures more generally.

References

  1. {Chi and VanLehn 91} Chi, M., and VanLehn, K. The Content of Self-Explanations. Journal of the Learning Sciences, 1991. in press.Google ScholarGoogle Scholar
  2. {Laird and Rosenbloom 90} Laird, J.E. and Rosenbloom, P.S. Integrating Planning, Execution, and Learning in Soar for External Environments. In Proceedings of AAAI'90. AAAI, 1990.Google ScholarGoogle Scholar
  3. {Minton, et al. ??} Minton, S., Carbonell, J.G., Knoblock, C.A., Kuokka, D.R., Etzioni, O. and Y. Gil, Explanation Based Learning: A Problem Solving Perspective. Artificial Intelligence,. Also available as technical report CMU-CS-89--103. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. {Mitchell 90} Mitchell, T.M. Becoming Increasingly Reactive In Proceedings of AAAI'90. AAAI, 1990.Google ScholarGoogle Scholar

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  1. Plan-then-compile architectures

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          cover image ACM SIGART Bulletin
          ACM SIGART Bulletin  Volume 2, Issue 4
          Aug. 1991
          221 pages
          ISSN:0163-5719
          DOI:10.1145/122344
          Issue’s Table of Contents

          Copyright © 1991 Author

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 1 July 1991

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