Attribute-based interactions in agent societies for adaptive plan selection
2009 (English)In: Proceedings of the 2009 International Conference on Artificial Intelligence, ICAI 2009, 2009, 71-77 p.Conference paper (Refereed)
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.
Adaptive plan selection, Agent societies, Attribute rating, Multi-agent systems
IdentifiersURN: urn:nbn:se:kth:diva-152040ScopusID: 2-s2.0-84866069941ISBN: 978-160132109-1OAI: oai:DiVA.org:kth-152040DiVA: diva2:749106
2009 International Conference on Artificial Intelligence, ICAI 2009, 13 July 2009 through 16 July 2009, Las Vegas, NV, United States
QC 201409232014-09-232014-09-232014-09-23Bibliographically approved