Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diļ¬...
In this paper, we present results from a study of collocated group console gaming. We focus, in particular, on observed gaming practices that emphasized the individual gamer withi...
Amy Voida, M. Sheelagh T. Carpendale, Saul Greenbe...
ā Achieving the Nash equilibria for single objective games is known to be a computationally difļ¬cult problem. However there is a special class of equilibria called evolutionary...
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
Dynamic multi-team games are introduced. In these games Pareto optimality is used within the team but Nash equilibrium is sought between different teams. Puu