The Minority Game is a model of interacting agents, who try to choose between two options every day, and those who are in the minority are winners. In an earlier paper, efficient stochastic strategies for this game was analyzed when the number of agents is 3, 5, 7. When the number of agents is large, the behaviour is qualitatively different, and as the discount parameter is varied, there is a s...

Did Southern whites leave the Democratic Party over Civil Rights or because economic development and other secular changes in the region made the party’s platform increasingly unattractive to them? Answering this central question in American political economy has been hampered by lack of micro-data on racial attitudes from both before and after the Civil Rights era. Our contribution is to uncov...

This essay discusses the practical aspects of mediation and arbitration. The article outlines effective steps to implement win-win, win-lose, lose-win, lose-lose negotiation strategies. It is posited that with a win-win strategy, job mediator or arbitrator find scenario acceptable both sides. role when parties are engaging in strategies different at least one not seeking win for all In particul...

Win Stay, Lose Shift as well as imitation strategies for iterated games rely on an aspiration level. With both learning rules a move is repeated unless the pay-o fell short of the aspiration level. I investigate social adaptation mechanisms for the aspiration level and their impact on the eÆciency of learning in a large population of agents that repeatedly play one round of a symmetric 2 2 game...

A class of binary decision-making tasks called the two-alternative forced-choice task has been used extensively in psychology and behavioral economics experiments to investigate human decision making. The human subject makes a choice between two options at regular time intervals and receives a reward after each choice; for a variety of reward structures, these experiments showconvergence of the...

Lewis-Skyrms signaling games (Lewis 1969; Skyrms 2010) have been studied under a variety of low-rationality learning dynamics (Barrett 2006; Barrett and Zollman 2009; Huttegger, Skyrms, Smead, and Zollman 2010; Huttegger, Skyrms, Tarrès, and Wagner 2014; Huttegger, Skyrms, and Zollman 2014). Reinforcement dynamics are stable but slow and prone to evolving suboptimal signaling conventions. A low...

Models of bounded rationality often lead to sharper predictions about real world outcomes than their full rationality counterparts. Full rationality in repeated interactions allows a plethora of equilibrium outcomes. In this paper, I examine the effect of bounded rationality in infinitely repeated games. In particular, does the introduction of boundedly rational agents lead to a smaller set of ...

“Football is a very simple game. For 90 minutes, 22 men go running after the ball, and at the end, the Germans win.” Although the game is simple, analyzing it can be hard. Just what makes one team better than another? How much difference do tactics make? Is there really such a thing as a “lucky win”? Here, we try to answer these questions in the context of RoboCup. We take the giant set of log ...