Structured Interaction in Game Theory
Michael Kearns
Department of Computer and Information Science
University of Pennsylvania
Philadelphia, Pennsylvania
Over the last several years, a number of authors
have developed graph-theoretic or network models
for large-population game theory. In such models,
each player or organization is represented by a
vertex in a graph, and payoffs are determined by
the actions of only those in the neighborhood of
a player. This allows the detailed specification
of social, organizational, biological and other
types of structure in the strategic interaction
of the population.
In this talk, I will survey these models and the
attendant algorithms for certain basic computations,
including Nash and correlated equilibria.
Generalizations to macroeconomic models will be
discussed, as well as potential connections to social
network theory and the emerging field of neuroeconomics.