The complexity of multi-agent plan recognition

Author:

Banerjee Bikramjit,Lyle Jeremy,Kraemer Landon

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference51 articles.

1. Abdelbar, A. M. (2004). Approximating cost-based abduction is NP-hard. Artificial Intelligence, 159(1–2), 231–239.

2. Avrahami-Zilberbrand, D., & Kaminka, G. A. (2007). Towards dynamic tracking of multi-agent teams: An initial report. In Proceedings of the AAAI Workshop on Plan, Activity and Intent Recognition (PAIR-07).

3. Avrahami-Zilberbrand, D., & Kaminka, G. A. (2007). Incorporating observer biases in keyhole plan recognition (efficiently!). In Proceedings of AAAI-07.

4. Banerjee, B., Kraemer, L., & Lyle, J. (2010). Multi-agent plan recognition: Formalization and algorithms. Proceedings of AAAI-10, Atlanta, GA (pp. 1059–1064).

5. Barry, D., & Hartigan, J. A. (1992). Product partition models for change point problems. The Annals of Statistics, 20, 260–279.

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