Cooperative games offer an elegant framework to model cooperation among self-interested agents. A central question of these games is how to distribute the payoff to each player when all players cooperate and derive some benefits. In this work, we consider cooperative transferable utility games where a subset of players can form a coalition if and only if they are connected in the underlying com...

The predictions of classical game theory for one-shot and finitely repeated play of many 2x2 simultaneous games do not correspond to human behavior observed in laboratory experiments. The promising results of learning models in tracking human behavior coupled with the growing electronic market and the number of e-commerce applications has resulted in an increased interest in studying the behavi...

We have proposed the utility-based Q-learning concept that supposes an agent internally has an emotional mechanism that derives subjective utilities from objective rewards and the agent uses the utilities as rewards of Q-learning. We have also proposed such an emotional mechanism that facilitates cooperative actions in Prisoner’s Dilemma (PD) games. However, this mechanism has been designed and...

In this paper we use a non cooperative equilibrium selection approach as a notion of stability in link formation games. Specifically, we follow the global games approach first introduced by Carlsson and van Damme (1993), to study the robustness of the set of Nash equilibria for a class of link formation games in strategic form with supermodular payoff functions. Interestingly, the equilibrium s...

Coordination with an unknown human teammate is a notable challenge for cooperative agents. Behavior of human players in games with cooperating AI agents is often sub-optimal and inconsistent leading to choreographed and limited cooperative scenarios in games. This paper considers the difficulty of cooperating with a teammate whose goal and corresponding behavior change periodically. Previous wo...