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Attribute-based interactions in agent societies for adaptive plan selection
KTH, Skolan för informations- och kommunikationsteknik (ICT), Elektronik- och datorsystem, ECS.
KTH, Skolan för informations- och kommunikationsteknik (ICT), Elektronik- och datorsystem, ECS.
2009 (engelsk)Inngår i: Proceedings of the 2009 International Conference on Artificial Intelligence, ICAI 2009, 2009, s. 71-77Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
2009. s. 71-77
Emneord [en]
Adaptive plan selection, Agent societies, Attribute rating, Multi-agent systems
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-152040Scopus ID: 2-s2.0-84866069941ISBN: 978-160132109-1 (tryckt)OAI: oai:DiVA.org:kth-152040DiVA, id: diva2:749106
Konferanse
2009 International Conference on Artificial Intelligence, ICAI 2009, 13 July 2009 through 16 July 2009, Las Vegas, NV, United States
Merknad

QC 20140923

Tilgjengelig fra: 2014-09-23 Laget: 2014-09-23 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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Totalt: 53 treff
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