INTENTION RECOGNITION WITH EVENT CALCULUS GRAPHS AND WEIGHT OF EVIDENCE

Fariba Sadri

2011

Abstract

Intention recognition has significant applications in ambient intelligence, for example in assisted living and care of the elderly, in games and in crime detection. In this paper we describe an intention recognition system based on a formal logic of actions and fluents. The system, called WIREC, exploits plan libraries as well as a basic theory of actions, causality and ramifications. It also exploits profiles, contextual information, heuristics, the actor’s knowledge seeking actions, and any available integrity constraints. Whenever the profile and context suggest there is a usual pattern of behaviour on the part of the actor the search for intention is focused on existing plan libraries. But, when no such information is available or if the behaviour of the actor deviates from the usual pattern, the search for intentions reverts to the basic theory of actions, in effect dynamically constructing possible partial plans corresponding to the actions executed by the actor.

References

  1. Blum, A. L., Furst, M. L., 1997. Fast planning through planning graph analysis, Artificial Intelligence, 90, 281-300.
  2. Chen, L., Nugent, C., Mulvenna, M., Finlay, D., Hong, X., Poland, M., 2008. A logical framework for behabviour reasoning and assistance in a smart home, International Journal of Assistive Robotics and Mechatronics, Vol. 9 No.4, 20-34.
  3. Cheng, D. C., Thawonmas, R., 2004. Case-based plan recognition for real-time strategy games. In Proceedings of the 5th Game-On International Conference (CGAIDE) 2004, Reading, UK, 36-40.
  4. Cohen, P. R., Perrault, C. R., Allen, J. F., 1981. Beyond question answering. In Strategies for Natural Language Processing, W. Lehnert and M. Ringle (Eds.), Lawrence Erlbaum Associates, Hillsdale, NJ, 245-274.
  5. Erol, K., Hendler, J., Nau, D., 1994. Semantics for hierarchical task-network planning. CS-TR-3239, University of Maryland.
  6. Geib, C. W., Goldman, R. P., 2001. Plan recognition in intrusion detection systems. In the Proceedings of the DARPA Information Survivability Conference and Exposition (DISCEX), June.
  7. Geib, C. W., Goldman, R. P., 2005. Partial observability and probabilistic plan/goal recognition. In Proceedings of the 2005 International Workshop on Modeling Others from Observations (MOO-2005), July.
  8. Hong, Jun, 2001. Goal recognition through goal graph analysis, Journal of Artificial Intelligence Research 15, 1-30.
  9. Jarvis, P., Lunt, T., Myers, K., 2004. Identifying terrorist activity with AI plan recognition technology. In the Sixteenth Innovative Applications of Artificial Intelligence Conference (IAAI 04), AAAI Press.
  10. Kautz, H., Allen, J. F., 1986. Generalized plan recognition. In Proceedings of the Fifth National Conference on Artificial Intelligence (AAAI-86), 32- 38.
  11. Kowalski, R. A., Sergot, M. J., 1986. A logic-based calculus of events, In New Generation Computing, Vol. 4, No.1, February, 67-95.
  12. Mancarella, P., Sadri, F., Terreni, G., Toni, F., 2004. Planning partially for situated agents, 5th Workshop on Computational Logic in Multi-Agent Systems (CLIMA V), 29-30, September, J.Leite and P.Torroni, eds, 132-149.
  13. Mao, W., Gratch, J., 2004. A utility-based approach to intention recognition. AAMAS Workshop on Agent Tracking: Modelling Other Agents from Observations.
  14. Pereira, L. M., Anh, H. T., 2009. Elder care via intention recognition and evolution prospection, in: S. Abreu, D. Seipel (eds.), Procs. 18th International Conference on Applications of Declarative Programming and Knowledge Management (INAP'09), Évora, Portugal, November.
  15. Philipose, M., Fishkin, K. P., Perkowitz, M., Patterson, D. J., Hahnel, D., Fox, D., Kautz, H., 2005. Inferring ADLs from interactions with objects. IEEE Pervasive Computing.
  16. Roy, P., Bouchard B., Bouzouane A, Giroux S., 2007. A hybrid plan recognition model for Alzheimer's patients: interleaved-erroneous dilemma. IEEE/WIC/ ACM International Conference on Intelligent Agent Technology, 131- 137.
  17. Scmidt, C., Sridharan, N., Goodson, J., 1978. The plan recognition problem: an intersection of psychology and artificial intelligence. Artificial Intelligence, Vol. 11, 45-83.
  18. Suzic, R., Svenson, P., 2006. Capabilities-based plan recognition. In Proceedings of the 9th International Conference on Information Fusion, Italy, July.
Download


Paper Citation


in Harvard Style

Sadri F. (2011). INTENTION RECOGNITION WITH EVENT CALCULUS GRAPHS AND WEIGHT OF EVIDENCE . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-40-9, pages 470-475. DOI: 10.5220/0003275104700475


in Bibtex Style

@conference{icaart11,
author={Fariba Sadri},
title={INTENTION RECOGNITION WITH EVENT CALCULUS GRAPHS AND WEIGHT OF EVIDENCE},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2011},
pages={470-475},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003275104700475},
isbn={978-989-8425-40-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - INTENTION RECOGNITION WITH EVENT CALCULUS GRAPHS AND WEIGHT OF EVIDENCE
SN - 978-989-8425-40-9
AU - Sadri F.
PY - 2011
SP - 470
EP - 475
DO - 10.5220/0003275104700475