Abstract
Coordinated sequential decision making of a team of cooperative agents is described by principles of multiagent planning. In this work, we extend the MA-Strips formalism with the notion of extensibility and reuse a well-known initiator–participants scheme for agent negotiation. A multiagent extension of the Generate-And-Test principle is used to distributively search for a coordinated multiagent plan. The generate part uses a novel plan quality estimation technique based on metrics often used in the field of diverse planning. The test part builds upon planning with landmark actions by compilation to classic planning. We designed a new multiagent planning domain which illustrates the basic properties of the proposed multiagent planning approach. Finally, our approach was experimentally evaluated on four classic IPC benchmark domains modified for multiagent settings. The results show (1) which combination of plan quality estimation and (2) which diversity metrics provide the best planning efficiency.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
This rules out joint actions. Any MA-Strips problem with joint actions can be translated to an equivalent problem without joint actions. However, a solution that would take advantage joint actions is left for future research.
- 2.
- 3.
We have implemented a simple implementation of \(\mathtt {SinglePlan}\) by translating a planning problem into a SAT problem instance and by calling an external SAT solver to solve it. It is easy to instruct a SAT solver to compute a solution different from previously found solutions.
References
Bäck, T.: Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford University Press, Oxford (1996)
Bhattacharya, S., Kumar, V., Likhachev, M.: Search-based path planning with homotopy class constraints. In: Felner, A., Sturtevant, N.R. (eds.) SOCS. AAAI Press (2010)
Brafman, R., Domshlak, C.: From one to many: planning for loosely coupled multi-agent systems. In: Proceedings of ICAPS 2008, vol. 8, pp. 28–35 (2008)
Decker, K., Lesser, V.: Generalizing the partial global planning algorithm. Int. J. Intell. Coop. Inf. Syst. 1(2), 319–346 (1992)
Doherty, P., Kvarnström, J.: TALplanner: a temporal logic-based planner. AI Mag. 22(3), 95–102 (2001)
Durfee, E.H.: Distributed problem solving and planning. In: Weiß, G. (ed.) A Modern Approach to Distributed Artificial Intelligence, Chap. 3. The MIT Press, San Francisco (1999)
Fikes, R., Nilsson, N.: STRIPS: A new approach to the application of theorem proving to problem solving. In: Proceedings of the 2nd International Joint Conference on Artificial Intelligence, pp. 608–620 (1971)
Levenshtein, V.: Binary codes capable of correcting deletions, insertions and reversals. Soviet Physics Doklady 10, 707–710 (1966)
Nissim, R., Brafman, R.I.: Multi-agent A* for parallel and distributed systems. In: Proceedings of AAMAS 2012, pp. 1265–1266. Richland, SC (2012)
Nissim, R., Brafman, R.I., Domshlak, C.: A general, fully distributed multi-agent planning algorithm. In: Proceedings of AAMAS 2010, pp. 1323–1330. Richland, SC (2010)
Pellier, D.: Distributed planning through graph merging. In: Filipe, J., Fred, A.L.N., Sharp, B. (eds.) ICAART, vol. 2, pp. 128–134. INSTICC Press (2010)
Richter, S., Westphal, M.: The LAMA planner: guiding cost-based anytime planning with landmarks. J. Artif. Int. Res. 39(1), 127–177 (2010)
Srivastava, B., Nguyen, T.A., Gerevini, A., Kambhampati, S., Do, M.B., Serina, I.: Domain independent approaches for finding diverse plans. In: Veloso, M.M. (ed.) IJCAI, pp. 2016–2022 (2007)
Torreño, A., Onaindia, E., Sapena, O.: An approach to multi-agent planning with incomplete information. In: ECAI, pp. 762–767 (2012)
Tožička, J., Jakubův, J., Durkota, K., Komenda, A., Pěchouček, M.: Multiagent planning supported by plan diversity metrics and landmark actions. In: Proceedings ICAART 2014. SciTePress (2014)
Acknowledgements
This research was supported by the Czech Science Foundation (grants no. 13-22125S and 15-20433Y).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Tožička, J., Jakubův, J., Durkota, K., Komenda, A. (2015). Extensibility Based Multiagent Planner with Plan Diversity Metrics. In: Nguyen, N., Kowalczyk, R., Duval, B., van den Herik, J., Loiseau, S., Filipe, J. (eds) Transactions on Computational Collective Intelligence XX . Lecture Notes in Computer Science(), vol 9420. Springer, Cham. https://doi.org/10.1007/978-3-319-27543-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-27543-7_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-27542-0
Online ISBN: 978-3-319-27543-7
eBook Packages: Computer ScienceComputer Science (R0)