ISIAC 2008 Call for Papers Special Session on Autonomous Agent Learning The 7th International Symposium on Intelligent Automation and Control of the World Automation Congress (WAC 2008)
Autonomous Agent Learning methods can improve the performance of software agents, are important in the development of learning systems for autonomous robots, and will be essential for the next wave of realistic artificial opponents in interactive video games. In all of these cases, learning allows these agents to be adaptive to changes in their abilities and the environment. This is a challenging research area of great potential. The special session is intended to bring together a group of researchers who are interested in autonomous agent learning. Any research in this area is of interest; some specific examples may be:
Adaptive Systems Autonomous Robots Automatic Code Generation Behavior-Based Control Computational Intelligence Coordinated Control Distributed Agents Evolutionary Computation Evolutionary Robotics Fuzzy Systems Game Player Control Intelligent Systems Machine Learning Mobile Agents Multi-Agent Systems Neural Networks Real-Time Games Reinforcement Learning Robot Learning Robust Control Self-Tuning Control Sensor Fusion Soft Computing Software Agents Stochastic Systems Video Game Agent Control
Full paper (4 - 6 pages) submissions in PDF should be made at the WAC
2008 website by 31 January 2008. See the Author's KitSession Organizers Gary Parker, Connecticut College, New London, CT, USA Joseph Blumenthal, George Mason University, Washington, DC, USA