The widespread use and proven profitability of technical trading rules in financial markets has long been a puzzle in academic finance. In this paper we show, using an agent-based model of an evolving stock market, that widespread technical trading can arise due to a multi-person prisoners'...

Incomplete information, local interaction, and random matching games all share a common structure. A type or player interacts with various subsets of the set of all types/players. A type/player's total payoff is additive in the payoffs from these various interactions. This paper describes a...

Experimental behavioral scientists have found consistent deviations from the predictions of the canonical model of self-interest in over a hundred experiments from around the world. Prior research cannot determine whether this uniformity results from universal patterns of behavior, or from the...

Three paradigms for the study of the evolution of behavior are reviewed. The first is kin selection, originally seen as an explanation for the evolution of altruistic behavior among relatives. This leads to the concept of inclusive fitness as a measure of an individual's contribution to...

We use game theory and the Santa Fe Artificial Stock Market, an agent-based model of an evolving stock market, to study the properties of strategic Nash equilibria in financial markets. We discover two things: there is a unique strategic equilibrium in the market, and this equilibrium in...