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- W2504433317 abstract "Multiagent plan recognition (MAPR) aims to recognize team structures and team behaviors from the observed team traces (action sequences) of a set of intelligent agents. This chapter introduces the problem formulation of MAPR based on partially observed team traces and presents a weighted MAX-SAT-based framework to recognize multiagent plans from partially observed team traces. This framework spans two approaches, MARS (MultiAgent plan Recognition System) and DARE (Domain model-based multiAgent REcognition), with respect to different input knowledge. MARS requires as input a plan library, while DARE requires as input a set of previously created action models. Both approaches highlight our novel computational framework for multiagent plan recognition." @default.
- W2504433317 created "2016-08-23" @default.
- W2504433317 creator A5017811036 @default.
- W2504433317 date "2014-01-01" @default.
- W2504433317 modified "2023-09-25" @default.
- W2504433317 title "Multiagent Plan Recognition from Partially Observed Team Traces" @default.
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- W2504433317 doi "https://doi.org/10.1016/b978-0-12-398532-3.00009-9" @default.
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