Aumann(1976) has shown that agents who have a common prior cannot have common knowledge of their posteriors for event E if these posteriors do not coincide. But given an event E, can the agents have posteriors with a common prior such that it is common knowledge that the posteriors for E *do*...

In this work we extend a result of Lehrer characterizing the correlated equilibrium payoffs in undiscounted two player repeated games with partial monitoring to the case in which the signals are permitted to be stochastic. In particular we develop appropriate versions of Lehrer's concepts of...

Suppose Player A is playing two apparently independent repeated games with two other people, B and C, with A randomly matched, each period, with either B or C. Each dyad maintains the maximum incentive-compatible level of cooperation within the dyad, even if cooperation has broken down in the...

Two players play an unknown zero-sum repeated game. Before the game starts one player may receive signals, whose nature is specified by an information structure, regarding the game actually played. We characterize when one information structure is better for the maximizer than another. We also...

Artificial life (alife) is the bottom-up study of basic phenomena commonly associated with living agents, such as self- replication, evolution, adaptation, self-organization, exploitation, competition, cooperation, and social network formation. Alife complements the traditional biological and...

This study presents, motivates, and illustrates the use of a computational laboratory for the investigation of evolutionary trade network formation among strategically interacting buyers, sellers, and dealers. The computational laboratory, referred to as the Trade Network Game Laboratory (TNG...

This study undertakes a systematic experimental investigation of hysteresis (path dependency) in an agent-based computational labor market framework. It is shown that capacity asymmetries between work suppliers and employers can result in two distinct hysteresis effects, network and behavioral,...

The objective of this work is to investigate market power issues in bid- based hydrothermal scheduling. Initially, market power is simulated with a single stage Nash-Cournot equilibrium model. Market power assessment for multiple stages is then carried through a stochastic dynamic programming...

Theoretical Computer Science classically aimed to develop a mathematical understanding of capabilities and limits of traditional computing architecture (Boole, von Neuman, Turing, Church, Godel), investigating in computability, complexity theory and algorithmics. Now it seems more natural to...

Population games are stochastic processes which explicitly model Nash's (1950) mass action interpretation of Nash equilibrium. The mass action interpretation envisions a population of players for each position in the game, and that players are randomly matched for play. The hope is that the...