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Proceedings Paper

Learning From External Environments Using Soar
Author(s): John E. Laird
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Paper Abstract

In this talk I will describe recent progress in developing problem solving architectures that learn from interactions with external environments. Previous work in planning and problem solving has often ignored the special constraints and uncertainties that arise from interacting with a real environment. In addition, learning was seen as an add-on that could be ignored until the planning system was complete. Similarly, most learning work has been carried out in simulated domains, or at least in domains where interaction with an environment is mininized. Recently, several systems have been developed that attempt to integrate learning and problem solving while interacting with an external environment.

Paper Details

Date Published: 21 March 1989
PDF: 4 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969306
Show Author Affiliations
John E. Laird, The University of Michigan (United States)

Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

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