Markov tracking for agent coordination

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Markov tracking for agent coordination

Full text

Pdf (992 KB)

Source

International Conference on Autonomous Agents archive
Proceedings of the second international conference on Autonomous agents table of contents

Minneapolis, Minnesota, United States

Pages: 70 - 77

Year of Publication: 1998

ISBN:0-89791-983-1

Author

Richard Washington

Caelum Research, NASA Ames Research Center, MS 269-2, Moffett Field, CA

Sponsors

IEEE : Institute of Electrical and Electronics Engineers
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 6, Downloads (12 Months): 23, Citation Count: 4

Additional Information:

references cited by index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/280765.280777 What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	J. F. Allen, H. A. Kautz, R. N. Pelavin, and J. D. Tenenberg. Reasoning about Plans. Morgan Kaufmann Publishers, Inc., 1991.
	2	Richard Ernest Bellman, Dynamic Programming, Dover Publications, Incorporated, 2003
	3	R, Dannenberg. An on-line algorithm for real-time accompaniment. In Proceedings of the 198j International Computer Music Oonfarence, pages 193-198. Computer Music Association, 1984.
	4	A. Gelb, Applied Optimal Estimation. M.I.T. Press, 1980,
	5	M. L. Littman, A. Cassandra, and L. P. Kaelbling. Learning policies for partially observable environments: Scaling up. In A. Prieditis and S. Russell, editors, Proceedings of the Twelfth International Conference on Maddna Learning, pages 362-370, San Francisco, CA, 1995. Morgan Kaufmann.
	6	William S. Lovejoy, A survey of algorithmic methods for partially observed Markov decision processes, Annals of Operations Research, v.28 n.1-4, p.47-66, April 1991 [doi>10.1007/BF02055574]
	7	G, E, Monahan. A survey of partially observable Markov decision processes: Theory, models, and algorithms, Management Science, 28(1):1-16, 1982.
	8	tL Parr and S. Russell. Approximating optimal policies for partially observable stochastic domains. In Proceedtags of IJOAI.95, 1995.
	9	A. S. Rao. Means-end plan recognition: Towards a theory of reactive recognition. In Proceedings of KR- 9d, the Fourth International Conference on Principles of Knowledge Representation and Reasoning, 1994.
	10	tL Simmons and S. Koenig. Probabilistic robot navigation in partially observable environments. In Proceedings oI IJCAI-95, 1995.
	11	M. Tambe. Tracking dynamic team activity. In Pro. ceedings of AAAI-96, 1996.
	12	M. Tambe and P. $. Rosenbloom. RESC: An approach for real-time, dynamic agent tracking. In Proceedings of IJOAI.95, 1995.
	13	Richard Washington, Incremental Markov-Model Planning, Proceedings of the 8th International Conference on Tools with Artificial Intelligence (ICTAI '96), p.41, November 16-19, 1996
	14	Richard Washington, BI-POMDP: Bounded, Incremental, Partially-Observable Markov-Model Planning, Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning, p.440-451, September 24-26, 1997
	15	Chelsea C. White, III, A Survey of solution techniques for the partially observed Markov decision process, Annals of Operations Research, v.32 n.1-4, p.215-230, July 1991 [doi>10.1007/BF02204836]
	16	B. C. Williams and P. P. Nayak. A model-based approach to reactive serf-configuring systems. In Proceed. ings of AAAI-96, pages 971-978, 1996.

CITED BY 4

	Zinovi Rabinovich , Jeffrey S. Rosenschein, Multiagent coordination by Extended Markov Tracking, Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems, July 25-29, 2005, The Netherlands
	Gal Kaminka , Milind Tambe, I'm OK, you're OK, we're OK: experiments in distributed and centralized socially attentive monitoring, Proceedings of the third annual conference on Autonomous Agents, p.213-220, April 1999, Seattle, Washington, United States
	Joaquín L. Fernández , Rafael Sanz , Reid G. Simmons , Amador R. Diéguez, Heuristic anytime approaches to stochastic decision processes, Journal of Heuristics, v.12 n.3, p.181-209, May 2006
	Gal A. Kaminka , Milind Tambe, Robust agent teams via socially-attentive monitoring, Journal of Artificial Intelligence Research, v.12 n.1, p.105-147, February 2000