Infrastructure Design with Multiagent Systems and Virtual Reality Application to the PSA site

This document presents the works carried out to ensure the immersion of a multiagent system in a virtual environment. The researches undertaken within the framework of this work have been allowed the development of tools dedicated to the simulation and th study of factory area, which are generally in perpetual evolution. This set of tools makes it possible to study various flows circulating on these sites and to highlight the problems which it generate. They offer solutions to refit an existing site in an optimal way or for a preliminary study to the establishment of new infrastructures. These tools provide a study of flows as well as a validation of dimensioning and accessibility of the various industrial infrastructures, this as well under normal conditions of operation as under particular conditions such as the rush hours or the situation of panic (fire, accident. . . ). Simulation offers also the advantage of being able to integrate into the models, and to evaluate the impact and the perspicacity of future evolutions of the infrastructures. After a short presentation of the theoritical subjacent models, this paper focus on the first application of these works on the study of the industrial site of PSA Sochaux, one the major french automobile manufacturer.

[1]  George Papagiannakis,et al.  Immersive VR decision training: telling interactive stories featuring advanced virtual human simulation technologies , 2003 .

[2]  W. Lewis Johnson,et al.  Animated Agents for Procedural Training in Virtual Reality: Perception, Cognition, and Motor Control , 1999, Appl. Artif. Intell..

[3]  David P. Luebke,et al.  Portals and mirrors: simple, fast evaluation of potentially visible sets , 1995, I3D '95.

[4]  Didier Verna.  Télé-Opération et Réalité Virtuelle : assistance à l'opérateur par modélisation cognitive de ses intentions. (Tele-Operation and Virtual Reality: assisting the operator by cognitive modelling of his intentions) , 2000 .

[5]  Flavien Balbo,et al.  Toward a Multi-agent Modelling Approach for Urban Public Transportation Systems , 2001, ESAW.

[6]  A. Drogoul,et al.  Approche multi-agent pour la simulation urbaine , 2002 .

[7]  M. Janssen,et al.  Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review , 2003 .

[8]  Daniel Thalmann.  Virtual sensors: a key tool for the artificial life of virtual actors , 1995 .

[9]  Marc Cavazza,et al.  Agents' Interaction in Virtual Storytelling , 2001, IVA.

[10]  W ReynoldsCraig.  Flocks, herds and schools: A distributed behavioral model , 1987 .

[11]  Quasim H. Mehdi,et al.  A new animation approach for visualizing intelligent agent behaviours in a virtual environment , 2002, Proceedings Sixth International Conference on Information Visualisation.

[12]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[13]  Jacques Ferber,et al.  Les Systèmes multi-agents: vers une intelligence collective , 1995 .

[14]  Olivier Boissier,et al.  When Can Knowledge-Based Systems Be Called Agents? , 1992 .

[15]  Larry Kerschberg,et al.  Knowledge Sifter: Agent-Based Ontology-Driven Search over Heterogeneous Databases Using Semantic Web Services , 2004, ICSNW.

[16]  P. Waddell.  UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning , 2002 .

[17]  Daniel Thalmann,et al.  An Informed Environment Dedicated to the Simulation of Virtual Humans in Urban Context , 1999, Comput. Graph. Forum.

[18]  Seth Teller,et al.  Visibility Computations in Densely Occluded Polyhedral Environments , 1992 .

[19]  Daniel Thalmann,et al.  Synthetic Vision and Audition for Digital Actors , 1995, Comput. Graph. Forum.

[20]  Soraia Raupp Musse,et al.  A Model of Human Crowd Behavior : Group Inter-Relationship and Collision Detection Analysis , 1997, Computer Animation and Simulation.

[21]  Daniel Thalmann,et al.  Modeling Objects for Interaction Tasks , 1998, Computer Animation and Simulation.

[22]  Stéphane Donikian.  VUEMS: a virtual urban environment modeling system , 1997, Proceedings Computer Graphics International.

[23]  Demetri Terzopoulos,et al.  Animat vision: Active vision in artificial animals , 1995, Proceedings of IEEE International Conference on Computer Vision.

[24]  Jean-Claude Latombe,et al.  Fast synthetic vision, memory, and learning models for virtual humans , 1999, Proceedings Computer Animation 1999.

[25]  Samir Aknine,et al.  A multi-agent method for forming and dynamic restructuring of pareto optimal coalitions , 2002, AAMAS '02.

[26]  Domitile Lourdeaux,et al.  Conception d'un système de RV pour la formation des agents de conduite aux opérations en milieu ferroviaire , 1999 .

[27]  R. S. Kalawsky.  Keynote Address: The Future of Virtual Reality and Prototyping , 1999 .

[28]  Daniel Thalmann,et al.  Navigation for digital actors based on synthetic vision, memory, and learning , 1995, Comput. Graph..

[29]  P. Torrens,et al.  Cellular Automata and Urban Simulation: Where Do We Go from Here? , 2001 .

[30]  Makram Bouzid.  Contribution à la modélisation de l'interaction agent / environnement : modélisation stochastique et simulation parallèle , 2001 .

[31]  Paul Waddell,et al.  Introduction to Urban Simulation: Design and Development of Operational Models , 2004 .

[32]  Anton Nijholt,et al.  Jacob - An Animated Instruction Agent in Virtual Reality , 2000, ICMI.

[33]  Olivier Simonin,et al.  Modeling Self Satisfaction and Altruism to handle Action Selection and Reactive Cooperation , 2002 .

[34]  Demetri Terzopoulos,et al.  Artificial fishes: physics, locomotion, perception, behavior , 1994, SIGGRAPH.

[35]  Joseph J. Pfeiffer,et al.  Dynamic Spatial Partitioning for Real-Time Visibility Determination , 2003 .

[36]  Derek Long,et al.  Alarms: An Implementation of Motivated Agency , 1995, ATAL.

[37]  Daniel Thalmann,et al.  An artificial life environment for autonomous virtual agents with multi‐sensorial and multi‐perceptive features , 2004, Comput. Animat. Virtual Worlds.

[38]  Daniel Thalmann,et al.  A vision-based approach to behavioural animation , 1990, Comput. Animat. Virtual Worlds.

[39]  Suzanne Pinson,et al.  An Agent-based simulation for water sharing between different users , 2002, AAMAS '02.

[40]  Allen Munro,et al.  Integrating Pedagogical Agents into Virtual Environments , 1998, Presence.

[41]  Hideyuki Tokuda,et al.  Psychotherapy with virtual pet agents-the PSY-AAAT prototype system , 1998, Proceedings. 3rd Asia Pacific Computer Human Interaction (Cat. No.98EX110).

[42]  Nicolas Gaud,et al.  Vision System for Virtual Agents. Environment Model and Perception's Architecture for Multi-Agent Based Simulation in Virtual Environments. Application to a Pedestrian Simulation , 2004 .

[43]  A. Drogoul.  De la simulation multi-agents a la resolution collective de problemes : une etude de l'emergence de structures d'organisation dans les systemes multi-agents , 1993 .

[44]  Anand S. Rao,et al.  BDI Agents: From Theory to Practice , 1995, ICMAS.