Abstract
In multi-agent systems evolving in complex and dynamic environments, it is difficult to ensure an efficient coordination of agents plans. To deal with this issue searchers have exploited the concept of the abstraction for defining adequate plan representations, and also for providing algorithms serving to planning, coordination, and execution. By ignoring some less important details, a solution can be found more simply. In this paper we provide an adequate plan representation model, by taking advantage of hierarchical plans and the ability to reason on abstract tasks. We use the obtained model to provide some principles for implementing Partially Centralized scheme for Hierarchical Plans merging. Based on summary information and the ability to localize the interference between tasks supported by our model, the global plan is dynamically decomposed to a set of partial-global-plan that may be analysed in decentralized manner. This hybridization, between centralized and distributed coordination, can favour the interleaving of planning and execution, some part of global plan can be repaired when others are in execution.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Brahimi, S., Maamri, R., Sahnoun, Z.: Hierarchical coordination - towards scheme based on problem splitting. In: Filipe, J., Fred, A.L.N., Sharp, B. (eds.) ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, vol. 2, pp. 327–331. INSTICC Press (2010)
Brahimi, S., Maamri, R., Sahnoun, Z.: Model of petri net for representing an agent plan in dynamic environment. In: O’Shea, J., Nguyen, N.T., Crockett, K., Howlett, R.J., Jain, L.C. (eds.) KES-AMSTA 2011. LNCS, vol. 6682, pp. 113–122. Springer, Heidelberg (2011)
Clement, B.J., Durfee, E.H.: Theory for coordinating concurrent hierarchical planning agents using summary information. In: Proceedings of the Sixteenth National Conference on Artificial Intelligence and the Eleventh Innovative Applications of Artificial Intelligence, AAAI 1999, pp. 495–502. American Association for Artificial Intelligence, Menlo Park (1999)
Clement, B.J., Durfee, E.H., Barrett, A.C.: Abstract reasoning for planning and coordination. Journal of Ai Research 28, 453–515 (2007)
Corkill, D.D.: Hierarchical planning in a distributed environment. In: Proceedings of the 6th International Joint Conference on Artificial Intelligence, IJCAI 1979, vol. 1, pp. 168–175. Morgan Kaufmann Publishers Inc., San Francisco (1979)
desJardins, M., Wolverton, M.: Coordinating planning activity and information flow in a distributed planning system. AI Magazine 20(4) (Winter 1999)
Erol, K., Hendler, J., Nau, D.: Semantics for hierarchical task network planning. Tech. rep. CS-TR-3239, University of Maryland (1994)
Erol, K., Hendler, J.A., Nau, D.S.: Umcp: A sound and complete procedure for hierarchical task-network planning. In: Hammond, K.J. (ed.) AIPS, pp. 249–254. AAAI (1994)
Hayashi, H.: Stratified multi-agent HTN planning in dynamic environments. In: Nguyen, N.T., Grzech, A., Howlett, R.J., Jain, L.C. (eds.) KES-AMSTA 2007. LNCS (LNAI), vol. 4496, pp. 189–198. Springer, Heidelberg (2007)
Lotem, A., Nau, D.S.: New advances in graphhtn: Identifying independent subproblems in large htn domains. In: Chien, S., Kambhampati, S., Knoblock, C.A. (eds.) AIPS, pp. 206–215. AAAI (2000)
Sacerdott, E.D.: Planning in a hierarchy of abstraction spaces. In: Proceedings of the 3rd International Joint Conference on Artificial Intelligence, IJCAI 1973, pp. 412–422. Morgan Kaufmann Publishers Inc., San Francisco (1973)
Thangarajah, J., Padgham, L., Winikoff, M.: Detecting and avoiding interference between goals in intelligent agents. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pp. 721–726. Academic Press (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Brahimi, S., Maamri, R., Sahnoun, Z. (2014). Partially Centralized Hierarchical Plans Merging. In: Badica, A., Trawinski, B., Nguyen, N. (eds) Recent Developments in Computational Collective Intelligence. Studies in Computational Intelligence, vol 513. Springer, Cham. https://doi.org/10.1007/978-3-319-01787-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-01787-7_6
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01786-0
Online ISBN: 978-3-319-01787-7
eBook Packages: EngineeringEngineering (R0)