STEVE (video session): a pedagogical agent for virtual reality
AGENTS '98 Proceedings of the second international conference on Autonomous agents
It knows what you're going to do: adding anticipation to a Quakebot
Proceedings of the fifth international conference on Autonomous agents
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Classifier fitness based on accuracy
Evolutionary Computation
Simulating sensory perception in 3D game characters
IE '07 Proceedings of the 4th Australasian conference on Interactive entertainment
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This paper describes the architecture and the implementation of the SAMIR (Scenographic Agents Mimic Intelligent Reasoning) system, designed to implement 3D conversational agents. SAMIR uses an XCS classifier system to learn natural facial postures to be shown by the agents, during their dialogues with users. An administration program can be run by agent administrators in order to fine-tune the agent knowledge base and emotive responses. It results in a flexible approach to dialogue and facial expressions management, fitting the needs of different web applications such as e-shops or digital libraries.