Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
Advances in intelligent agent research, such as curious agents and motivated learning agents, make possible a new kind of intelligent environment: a curious place. Previously, inte...
Mary Lou Maher, Kathryn Elizabeth Merrick, Owen Ma...
Autonomousagentsin the real world must be capableof asynchronous goal generation. However, one consequence of this ability is that the agent may generate a substantial number of go...
Character behaviors in computer role-playing games have a significant impact on game-play, but are often difficult for game authors to implement and adapt. We present a behavior m...
Maria Cutumisu, Duane Szafron, Jonathan Schaeffer,...
Using results in the psycholinguistics literature on the speed and timing of American Sign Language (ASL), we built algorithms to calculate the time-duration of signs and the loca...