Authors:
Wynn C. Stirling
1
and
Luca Tummolini
2
Affiliations:
1
Department of Electrical and Computing Engineering, Brigham Young University, Provo, Utah and U.S.A.
;
2
Institute of Cognitive Sciences and Technologies, Italian National Research Council, Rome and Italy
Keyword(s):
Game Theory, Coordination, Social Influence, Social Utility, Network Theory.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Expert Systems
;
Health Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
Standard game theory is founded on the premise that choices in interactive decision situations are strategically rational—best reactions to the expected actions of others. However, when studying groups whose members are responsive to one another’s interests, a relevant notion of behavior is for them to coordinate in the pursuit of coherent group behavior. Conditional game theory provides a framework that facilitates the study of coordinated rational behavior of human social networks and the synthesis of artificial social influence networks. This framework comprises three elements: a socialization model to characterize the way individual preferences are defined in a social context; a diffusion model to define the way individual preferences propagate through the network to create an emergent social structure; and a deduction model that establishes the structure of coordinated individual choices.