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Supervisory Control for Behavior Composition
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AI
DOI：10.1109/TAC.2016.2570748.png)
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摘要
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We relate behavior composition, a synthesis task studied in AI, to supervisory control theory from the discrete event systems field. In particular, we show that realizing (i.e., implementing) a target behavior (e.g., a house surveillance system) by suitably coordinating a collection of available behaviors (e.g., doors, lights, cameras, etc.) amounts to imposing a supervisor onto a special discrete event system. Such a link allows us to leverage on the solid foundations and extensive work on discrete event systems, including borrowing tools and ideas from it.
Keyword:
Control theory
program synthesis
scheduling
期刊
IF:
7
论文数:
1.3W
被引数:
6.7W
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引用论文
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PLoS ONE
OAAI
PLoS ONEIF0
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