ARéVi: A Virtual Reality Multiagent Platform

Reignier, Patrick; Harrouet, Fabrice; Morvan, Sylvain; Tisseau, Jacques; Duval, Thierry

doi:10.1007/3-540-68686-x_22

Cited by 17 publications

(10 citation statements)

References 7 publications

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“…Our 3D environments are developed using VRML [21] and/or ARéVi API [22]. The ARéVi API is open-source, C++ and OpenGL based, and adaptive to different configurations, ranging from desktops to 3D stereoscopic immersion systems.…”

Section: Implementation-related Aspectsmentioning

confidence: 99%

3D Virtual Spaces Supporting Engineering Learning Activities

Popovici

Gerval

Hamza-Lup

et al. 2009

INT J COMPUT COMMUN

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Virtual environments constitute the support platform for various teaching and learning activities. Instead of a local application for this purpose, this paper explores the effects of using distributed virtual reality environments in the educational process. The architecture of the presented system is based on the recently developed web-based technology called AJAX (Asynchronous Javascript And XML), implemented on a Linux operating system configured to run Apache with PHP and MySQL support; i.e., LAMP architecture, which contributes to the portability and ease of installation of the application. The platform is designed to support the integration of lesson modules such as the EngView environment which is discussed in more detail in this contribution. Pedagogical, technical, and implementation-related aspects are presented in conjunction with the virtual environment used in the engineering training curriculum. Statistical information resulted from the training shows a significant increase in task completion time when the virtual setup is used. Keywords: Virtual environment, Learning, Teaching, Motivation, Virtual training.Knowledge acquisition has shifted from an individual to a collective activity. There is a migration of the learning process from one individual to a group of individuals as knowledge becomes a collective activity enhanced by the phenomena of social interaction. The complexity of the information and the way we interact with it makes us active parts in the educational environment. Searching, discovering, and testing are the most frequent human activities in such situations. When an interpretive level of comprehension is reached, these activities are mature enough to trigger creational thinking, and constitute the beginning of the applied level of understanding. As complements to learning, virtual training gives constructive feedback to learners by providing them with a hands-on approach to the studied subject.In the following sections, we emphasize the potential of distributed virtual environments to improve the learning process. To prove the point, we try to answer one question: "What do the 3D virtual spaces bring into the learning processes in order to make them effective and evolutionary?"

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Section: Implementation-related Aspectsmentioning

confidence: 99%

3D Virtual Spaces Supporting Engineering Learning Activities

Popovici

Gerval

Hamza-Lup

et al. 2009

INT J COMPUT COMMUN

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“…Calderoni and Marcenar argue that many artificial life research areas resort to agent-based simulation, so they try to design a generic platform for allowing scientists to easily build simulation environments [2]. A similar effort has been made by Reignier et al, who also constructed a virtual reality multi-agent platform called AReVi [3]. This paper applies artificially intelligent technologies to the virtual reality worlds, and proposes an agent-based approach to virtual reality from the standpoint of software simulation system design.…”

Section: Introductionmentioning

confidence: 99%

An Agent-Based Approach for Constructing Software Systems of Virtual Simulation

Meng

Chen

2000

IJVR

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The design and construction of virtual reality environments involve technologies such as computer graphics, image processing, pattern recognition, intelligent interface, artificial intelligence, voice recognition, network, parallel processing, and high-performance computing. Some researchers insist that object-oriented and agent-oriented technologies are fundamental for virtual reality system design. This paper applies artificial intelligence to the design of virtual reality systems. Agents are constructed by using object-oriented methods and a set of underlying computing models, such as neural networks, genetic algorithms, expert systems, and plan managers. Some object-oriented frameworks of these computing models are presented to illustrate this approach. The example of a spaceship game will illustrate interactions among environments, agents, and underlying computing models. The approach and reusable class library presented herein can be applied to various virtual reality environment simulations and intelligent applications.

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“…ARéViJava is a software platform designed for developing virtual reality applications [7]. The core is based on Java TM language.…”

Section: The Arévijava Virtual Reality Platformmentioning

confidence: 99%

Interactive distributed guided tours of historical sites

Popovici

Morvan

Maisel

et al.

Proceedings. 2003 International Conference on Cyberworlds

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In this paper we propose a new metaphor of information retrieving, usable in heritage management and publishing. Based on the net, the user is able to participate in virtual guided tours, sessions of conferences-like. A human expert will be the guide for all the connected users. He will use different media (sound/video) to communicate; the members of the guided group will communicate between them through chat sessions.Each virtual tourist will be autonomous in its 3D world movements but he will receive audio/video information or other multimedia documents or 3D objects, eventually autonomous entities placed in its 3D virtual universe, from its guide.The guide is able to suggest to its group of tourists some interesting viewpoints during the tour. More, he is able to augment the database, particularly the associated behaviours to the entities. It is enough to analyse the entities in a scene and to attach them some new behaviours. For example, he can place in the environment some virtual guides, and the users will interact with them. These virtual guides recognise some keywords or intentions; i.e. if a tourist spends some time near a specific place, the virtual guide will initiate a dialog upon the place's history. The user is able to cancel the dialog with a virtual guide and return to its group.The application is based on the ARéViJava (Atelier de Réalite Virtuelle) platform, developed in our laboratory.

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ARéVi: A Virtual Reality Multiagent Platform

Cited by 17 publications

References 7 publications

3D Virtual Spaces Supporting Engineering Learning Activities

3D Virtual Spaces Supporting Engineering Learning Activities

An Agent-Based Approach for Constructing Software Systems of Virtual Simulation

Interactive distributed guided tours of historical sites

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