Author:
Wynn C. Stirling
Affiliation:
Brigham Young University, United States
Keyword(s):
Game theory, Multiagent systems, Group rationality, Cooperation, Negotiation.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Cooperation and Coordination
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Group Decision Making
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Negotiation and Interaction Protocols
;
Software Engineering
;
Symbolic Systems
Abstract:
Game theory provides a framework within which to model multiagent systems. The conventional neoclassical theory is well suited for competitive scenarios where self-interest is the dominant concept of rational behavior, but is less appropriate for scenarios where opportunities for such complex social behavior as cooperation, compromise, and unselfishness are significant. Conditional game theory is an extension of the conventional neoclassical theory that permits agents to extend their spheres of interest beyond the self and enables them to condition their preferences on the preferences of other agents, thereby providing a mechanism with which to characterize complex social behavior. As these conditional preferences propagate through the system, social bonds are created among the players that permit notions of both group and individual preferences to emerge and, hence, for concepts of both group rationality and individual rationality to coexist. Computational complexity can often be mi
tigated by exploiting the sparseness of influence relationships among the members of the system.
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