Agent Architecture for a Real World Autonomous Virtual Guide: Interaction between the Decision and Perception Processes and Environment Representation
Museums like marine aquariums are facing a difficult problem when trying to deliver information to their visitors. The exhibits they propose are dynamic by definition.Each may contain multiple autonomous entities that need to be described to the visitor. Classical communication means (panels,audio-guides...) are static and do not adapt to the constraints ofsuch exhibits. We propose to use an autonomous virtual guideembedded inside the environment in order to describe it to thevisitors. To describe this environment and the entities it contains,the agent must be able to perceive it. Doing so is a challenging task due to the dynamic and non-predictable aspects of thisenvironment. In this article, we propose an architecture able tobuild a partial representation of such an environment that tendsto be the best possible representation depending on the ongoing task. This is possible by setting up an interaction loop between the perception and decision processes of our intelligent agent. We describe this architecture and provide some results showing how this interaction effectively takes place in an experimental environment and in a real application setting.
Vision scene understanding-architecture control tructure-distributed artificial intelligence-intelligent agents
Morgan Veyret Eric Maisel Jacques Tisseau
European University of Brittany National Engineering School of Brest Computer Science Laboratory for Complex Systems European Center for Virtual Reality,25 rue Claude Chappe 29280 Plouzane,Francel
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
1-10
2008-06-01（万方平台首次上网日期，不代表论文的发表时间）