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AAMAS
2005
Springer
14 years 9 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
AAMAS
2005
Springer
14 years 9 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
ETRA
2006
ACM
136views Biometrics» more  ETRA 2006»
15 years 3 months ago
Computational mechanisms for gaze direction in interactive visual environments
Next-generation immersive virtual environments and video games will require virtual agents with human-like visual attention and gaze behaviors. A critical step is to devise effic...
Robert J. Peters, Laurent Itti
JAR
2008
107views more  JAR 2008»
14 years 9 months ago
Differential Dynamic Logic for Hybrid Systems
Hybrid systems are models for complex physical systems and are defined as dynamical systems with interacting discrete transitions and continuous evolutions along differential equat...
André Platzer
SIGSOFT
2010
ACM
14 years 7 months ago
Supporting human-intensive systems
Executing critical systems often rely on humans to make important and sometimes life-critical decisions. As such systems become more complex, the potential for human error to lead...
Lori A. Clarke, Leon J. Osterweil, George S. Avrun...