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Probabilistic Multi-Agent Plan Recognition as Planning (P-Maprap): Recognizing Teams, Goals, and Plans from Action Sequences.

, and . ICAART (2), page 575-582. SciTePress, (2017)

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Probabilistic Multi-Agent Plan Recognition as Planning (P-Maprap): Recognizing Teams, Goals, and Plans from Action Sequences., and . ICAART (2), page 575-582. SciTePress, (2017)Multi-Agent Plan Recognition as Planning (MAPRAP)., and . ICAART (2), page 141-148. SciTePress, (2016)Discrete Multi-agent Plan Recognition: Recognizing Teams, Goals, and Plans from Action Sequences., and . ICAART (Revised Selected Papers), volume 10162 of Lecture Notes in Computer Science, page 212-228. (2016)Avoiding Surprise: Augmenting Anticipatory Thinking with Scenario Explorer., , , and . COGSAT@AAAI Fall Symposium, volume 2558 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Heuristica: Designing a serious game for improving decision making., , , , , , , , , and 10 other author(s). IGIC, page 250-255. IEEE, (2013)Behaving Like Soldiers A Multi-Agent System Approach to Course of Action Planning for Simulated Military Units., , and . FLAIRS, (2022)Tradeoffs within Representational Behaviors: Multi-Objective Optimization Strategies for Simulated Military Units., , and . FLAIRS, AAAI Press, (2023)The Aggregative Contingent Estimation System: Selecting, Rewarding, and Training Experts in a Wisdom of Crowds Approach to Forecasting., , , , , , , , , and 2 other author(s). AAAI Spring Symposium: Wisdom of the Crowd, volume SS-12-06 of AAAI Technical Report, AAAI, (2012)