We describe a formalism and algorithms for game-tree search in partially-observable Euclidean space, and implementation and tests in a scenario where a multi-agent team, called tr...
Eric Raboin, Dana S. Nau, Ugur Kuter, Satyandra K....
This paper contributes to the analysis of the question how altruistic behaviour can be in an agent’s own interest. The question is addressed by involving a temporal dimension in ...
Tibor Bosse, Martijn C. Schut, Jan Treur, David We...
This research explores productive multi-player games as a platform for human-computer agent collaboration. A multiagent perspective is taken to examine the principles of both game...
— Game theory models and analyzes the situations of conflict and cooperation among independent decision-makers. We can view the runs of a multi-agent system as a game where the ...
This paper proposes an Integrated MDP and POMDP Learning AgeNT (IMPLANT) architecture for adaptation in modern games. The modern game world basically involves a human player actin...