| Abstract |
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As planning agents grow more sophisticated, plan representation
issues arise. Planners work over increasingly
large and difficult problems and output is often complex or
unwieldy. Further, where planners must interact with human
users — either for plan verification and analysis, or in
mixed-initiative settings — plans must be represented so that
the intended course of action is readily available. We propose
automated techniques for simplification of, and conversion
between, plan representations.
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 Additional Information
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Citation:
Martin Allen, Shlomo Zilberstein,
"Automated Conversion and Simplification of Plan Representations,"
aamas,
pp. 1272-1273,
Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04),
2004
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