Multiagent Planning Supported by Plan Diversity Metrics and Landmark Actions

Jan Tožička, Jan Jakubův, Karel Durkota, Antonín Komenda, Michal Pěchouček

Abstract

Problems of domain-independent multiagent planning for cooperative agents in deterministic environments can be tackled by a well-known initiator–participants scheme from classical multiagent negotiation protocols. In this work, we use the approach to describe a multiagent extension of the Generate-And-Test principle distributively searching for a coordinated multiagent plan. The generate part uses a novel plan quality estimation technique based on metrics borrowed from the field of diverse planning. The test part builds upon planning with landmarks by compilation to classical planning. Finally, the proposed multiagent planning approach was experimentally analyzed on one newly designed domain and one classical benchmark domain. The results show what combination of plan quality estimation and diversity metrics provide the best planning efficiency.

References

  1. Bäck, T. (1996). Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms. Oxford University Press, Oxford, UK.
  2. Bhattacharya, S., Kumar, V., and Likhachev, M. (2010). Search-based path planning with homotopy class constraints. In Felner, A. and Sturtevant, N. R., editors, SOCS. AAAI Press.
  3. Brafman, R. and Domshlak, C. (2008). From One to Many: Planning for Loosely Coupled Multi-Agent Systems. In Proceedings of ICAPS'08, volume 8, pages 28-35.
  4. Decker, K. and Lesser, V. (1992). Generalizing the Partial Global Planning Algorithm. International Journal on Intelligent Cooperative Information Systems, 1(2):319-346.
  5. Doherty, P. and Kvarnström, J. (2001). Talplanner: A temporal logic-based planner. AI Magazine, 22(3):95- 102.
  6. Durfee, E. H. (1999). Distributed problem solving and planning. In Weiß, G., editor, A Modern Approach to Distributed Artificial Intelligence, chapter 3. The MIT Press, San Francisco, CA.
  7. Fikes, R. and Nilsson, N. (1971). STRIPS: A new approach to the application of theorem proving to problem solving. In Proceedings of the 2nd International Joint Conference on Artificial Intelligence, pages 608-620.
  8. Levenshtein, V. (1966). Binary Codes Capable of Correcting Deletions, Insertions and Reversals. Soviet Physics Doklady, 10:707.
  9. Nissim, R. and Brafman, R. I. (2012). Multi-agent A* for parallel and distributed systems. In Proceedings of AAMAS'12, pages 1265-1266.
  10. Nissim, R., Brafman, R. I., and Domshlak, C. (2010). A general, fully distributed multi-agent planning algorithm. In Proceedings of AAMAS, pages 1323-1330.
  11. Pellier, D. (2010). Distributed planning through graph merging. In Filipe, J., Fred, A. L. N., and Sharp, B., editors, ICAART (2), pages 128-134. INSTICC Press.
  12. Richter, S. and Westphal, M. (2010). The lama planner: guiding cost-based anytime planning with landmarks. J. Artif. Int. Res., 39(1):127-177.
  13. Srivastava, B., Nguyen, T. A., Gerevini, A., Kambhampati, S., Do, M. B., and Serina, I. (2007). Domain independent approaches for finding diverse plans. In Veloso, M. M., editor, IJCAI, pages 2016-2022.
  14. Torren˜o, A., Onaindia, E., and Sapena, O. (2012). An approach to multi-agent planning with incomplete information. In ECAI, pages 762-767.
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Paper Citation


in Harvard Style

Tožička J., Jakubův J., Durkota K., Komenda A. and Pěchouček M. (2014). Multiagent Planning Supported by Plan Diversity Metrics and Landmark Actions . In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-015-4, pages 178-189. DOI: 10.5220/0004918701780189


in Bibtex Style

@conference{icaart14,
author={Jan Tožička and Jan Jakubův and Karel Durkota and Antonín Komenda and Michal Pěchouček},
title={Multiagent Planning Supported by Plan Diversity Metrics and Landmark Actions},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2014},
pages={178-189},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004918701780189},
isbn={978-989-758-015-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Multiagent Planning Supported by Plan Diversity Metrics and Landmark Actions
SN - 978-989-758-015-4
AU - Tožička J.
AU - Jakubův J.
AU - Durkota K.
AU - Komenda A.
AU - Pěchouček M.
PY - 2014
SP - 178
EP - 189
DO - 10.5220/0004918701780189