We consider the computational complexity of pure Nash equilibria in graphical games. It is known that the problem is NP-complete in general, but tractable (i.e., in P) for special...
We consider Coalitional Skill Games (CSGs), a simple model of cooperation among agents. This is a restricted form of coalitional games, where each agent has a set of skills that a...
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
—Games provide an ideal test bed for computational intelligence and significant progress has been made in recent years, most notably in games such as GO, where the level of play...
MAGE (Multi-Agent Game Environment) is a logic-based framework that uses games as a metaphor for representing complex agent activities within an artificial society. More specifical...