NDLI: Reconciling Group and Individual Preferences of Multi-Agent Systems

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Dynamic Information Fusion Driven Design of Urban Sensor Networks

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Reconciling Group and Individual Preferences of Multi-Agent Systems

Content Provider	IEEE Xplore Digital Library
Author	Stirling, W.C. Frost, R.L.
Copyright Year	2007
Description	Author affiliation: Brigham Young Univ., Provo (Stirling, W.C.; Frost, R.L.)
Abstract	Many multi-agent systems are mixed-motive, such that the interests of the individuals are not entirely compatible with each other or with the group as a whole. In such situations it is imperative to reconcile these differences and arrive at a joint decision that yields acceptable performance for the group and for each of its members. Social utilities provide a natural mathematical model to account for social attributes such as compromise, coordination, negotiation, and altruism. Satisficing game theory provides an alternative solution concept that is compatible with social utilities and which admits principled negotiation protocols that are designed to reach solutions that provide adequate performance for the group and are acceptable to each of the individuals.
Starting Page	477
Ending Page	482
File Size	1468343
Page Count	6
File Format	PDF
ISBN	1424410754
DOI	10.1109/ICNSC.2007.372825
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-15
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiagent systems Game theory Control systems Mathematical model Protocols Design methodology Design optimization Decision making Nash equilibrium Security
Content Type	Text
Resource Type	Article

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