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Attribute-based interactions in agent societies for adaptive plan selection
KTH, School of Information and Communication Technology (ICT), Electronic, Computer and Software Systems, ECS.
KTH, School of Information and Communication Technology (ICT), Electronic, Computer and Software Systems, ECS.
2009 (English)In: Proceedings of the 2009 International Conference on Artificial Intelligence, ICAI 2009, 2009, 71-77 p.Conference paper, Published paper (Refereed)
Abstract [en]

Collaboration in a society of agents plays a significant role for the overall society to function in an effective manner in reaching its desired goals. Such inter-entity interactions to achieve society goals require prediction of behavior of other entities and an adaptive interaction plan selection and conflict avoidance mechanism to reach local/agent-level- and global/society-level-goals. Earlier works have assumed a priori knowledge and classification of entities and their attributes in a society for selection of a best plan; we consider such assumptions too restrictive and propose an attribute-based adaptive plan selection infrastructure for agents in a society where agents possess minimum knowledge of their surrounding agents. Furthermore we consider attribute rating mechanism for plan conflict resolution.

Place, publisher, year, edition, pages
2009. 71-77 p.
Keyword [en]
Adaptive plan selection, Agent societies, Attribute rating, Multi-agent systems
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-152040Scopus ID: 2-s2.0-84866069941ISBN: 978-160132109-1 (print)OAI: oai:DiVA.org:kth-152040DiVA: diva2:749106
Conference
2009 International Conference on Artificial Intelligence, ICAI 2009, 13 July 2009 through 16 July 2009, Las Vegas, NV, United States
Note

QC 20140923

Available from: 2014-09-23 Created: 2014-09-23 Last updated: 2014-09-23Bibliographically approved

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