Modelling Autonomous Virtual Agent Behaviours in a Virtual Environment for Risk
Our research deals with the design of a training system to support decision-making in the preparation and the management of maintenance interventions in high-risk industries namely SEVESO sites. The proposed system incorporates virtual reality and artificial intelligence to simulate virtual autonomous characters and their cognitive processes in dangerous workingsituations. It generates behaviour-based errors to support learning and risk prevention. It uses new mechanisms taking into account human factors with respect to cognitive modelling of human behaviour regarding risky situations. In the simulated environment the trainee can visualize the risks incurred during his work with the virtual agents. The emergent risks depend on the cognitive characteristics of the virtual operators and on the expertise of the trainee. We propose a multi-agent system to support the control of virtual operators represented by virtual cognitive agents. The difference with a classic MAS is that our cognitive agents are enriched with a planner for selecting actions according to goals, the environment and to the personalcharacteristics of the agents (time pressure, caution, tiredness,hunger).
Cognitive planning intelligent virtual environment multi-agent system risk prevention
Lydie Edward Domitile Lourdeaux Jean-Paul Bartès Dominique Lenne Jean-Marie Burkhardt
University of Technology of Compiegne,Compiègne,France Cognitive Ergonomics at ECI lab (Ergonomic Behaviour and Interactions) of Paris Descartes University
国际会议
2008年国际虚拟环境和虚拟智能大会(IVEVA 2008)
南京
英文
105-114
2008-06-01（万方平台首次上网日期，不代表论文的发表时间）