The simultaneous use of multiple aspect languages has the potential of becoming a significant one, as new aspectoriented frameworks are developed and existing ones expand to incor...
Qualitative Coalitional Games (QCGs) are a version of coalitional games in which an agent's desires are represented as goals which are either satisfied or unsatisfied, and ea...
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
Partially observed actions are observations of action executions in which we are uncertain about the identity of objects, agents, or locations involved in the actions (e.g., we kn...
We introduce Game networks (G nets), a novel representation for multi-agent decision problems. Compared to other game-theoretic representations, such as strategic or extensive for...