Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Redefining the learning companion: the past, present, and future of educational agents
Computers & Education
MASCARET: Pedagogical Multi-Agents System for Virtual Environment for Training
CW '03 Proceedings of the 2003 International Conference on Cyberworlds
Scenario sharing in a collaborative virtual environment for training
Proceedings of the 2008 ACM symposium on Virtual reality software and technology
Virtual environments for training: from individual learning to collaboration with humanoids
Edutainment'07 Proceedings of the 2nd international conference on Technologies for e-learning and digital entertainment
Storytelling in virtual reality for training
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
Edutainment'12/GameDays'12 Proceedings of the 7th international conference on Edutainment, and Proceedings of the 3rd international conference on E-Learning and Games for Training, Education, Health and Sports
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Virtual environments for training, especially collaborative ones, require adaptability in order to be used in various situations. In this paper, we classify the needs for adaptation into two levels. The first one concerns the application setting. The second one is a dynamic adaptation, at runtime. The models proposed in this paper fulfill these two levels of requirements. Virtual world, virtual humans' behavior, scenario and application configuration can be adapted to a specific training situation. Moreover, an action selection mechanism enables actors to dynamically adapt their action scheduling to a situation. This situation is defined by a current context, past actions and a goal to achieve, namely a scenario. Finally we validate our models by presenting an illustrative scenario: the collaborative assembly of a piece of furniture.