Market mechanisms play a central role in AI as a coordination tool in multiagent systems and as an application area for algorithm design. Mechanisms where buyers are directly clea...
This paper describes the development of an expert casebased character director system which dynamically generates and controls a story, which is played out in a multiplayer networ...
We present a new class of games, local-effect games (LEGs), which exploit structure in a different way from other compact game representations studied in AI. We show both theoreti...
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
The study of belief revision and reasoning about actions have been two of the most active areas of research in AI. Both these areas involve reasoning about change. However very li...