Natural selection designs some social behaviors to depend on flexible learning processes, whereas others are relatively rigid or reflexive. What determines the balance between these two approaches? We offer a detailed case study in the context of a two-player game with antisocial behavior and retaliatory punishment. We show that each player in this game-a "thief" and a "victim"-must balance two...

We investigate different versions of the minority game, a toy model for agents buying and selling a commodity. The Hamming distance between the strategies used by agents to take decisions is introduced as an analytical tool to determine several properties of these models. The success rate of the agents in an adaptive version of the game is compared with the rate from a stochastic version. It is...

Serious Games (SGs) have a lot of potential in education, possibly making learning more engaging and satisfying. Adaptive Games strive to keep the challenges presented by the game balanced with the player’s abilities, as to keep the player in the “flow” state. We have used a Service-Oriented Architecture (SOA) approach to develop a simple adaptive SG for teaching basic elements of probability t...

We propose a novel human-computer interface for video gaming systems. Unlike current systems that use active sensors (e.g. Kinect), in the proposed approach, the human-poses are captured by a single camera and used to control the course of the game. This eliminates the need for traditional hand-held controllers and allows for the player to be immersed into the virtual environment of the game. T...

We experiment on a coordination game with uncertainty about payoffs.This game is closely related to models used in macroeconomic and financial applications to solve equilibrium indeterminacy. Subjects receive noisy signals about the true payoffs. The unique equilibrium is reached by iterative deletion of strictly dominated strategies. Over time actual behavior converges to the equilibrium. The ...