Coordinated Distributed Decision Making on Social Influence Networks

Game theory has long served as a framework with which to model interactive decision making for scenarios where agents are motivated to maximize their individual welfare. However, when agents are influenced by the opinions and attitudes of others, the opportunity exists to make coordinated decisions in the pursuit of systematic group behavior. The application of conditional game theory, Bayesian network theory, and Markov convergence theory provides a framework within which to formalize a theory of coordinated decision making under social influence.