A new formal model of collaboration by multi-agent systems

This paper presents an approach to modelling collaboration. This approach is based on multi-agent system (MAS) and computer supported collaborative work (CSCW) research areas. In fact, a formal model of multi-agent system intended to design collaborative teleoperation architectures is proposed. This proposed model is based on an approach combining astutely two research areas: MAS and CSCW. In the first area, a formal model of the MAS (Ferber's approach) is used to give us features of the agent. The second area provides us a useful approach of collaboration based on the communication, coordination and production theories. Finally the MAS is implemented using a JADE (Java agent development framework) and some evaluations taking into account execution time and collaboration rate are presented and discussed.

[1]  Louis Cloutier,et al.  Collaborative work based on multiagent architectures: a methodological perspective , 1994 .

[2]  Victor Korobitsin Conceptual Modelling of Multi-Agent Systems: the Comomas Engineering Environment by Norbert Glaser , 2005, J. Artif. Soc. Soc. Simul..

[3]  Gerhard Weiss,et al.  Multiagent systems: a modern approach to distributed artificial intelligence , 1999 .

[4]  Daniel Salber,et al.  De l'interaction homme-machine individuelle aux systèmes multi-utilisateurs. L'exemple de la communication homme-homme médiatisée. (From single-user human-computer interaction to multi-user systems Application to computer-mediated communication systems) , 1995 .

[5]  Gerhard Weiss,et al.  Multiagent Systems , 1999 .

[6]  Michael N. Huhns,et al.  Distributed artificial intelligence: vol. 2 , 1989 .

[7]  Munindar P. Singh Multiagent Systems - A Theoretical Framework for Intentions, Know-How, and Communications , 1994, Lecture Notes in Computer Science.

[8]  Michael Wooldridge,et al.  A Formal Specification of dMARS , 1997, ATAL.

[9]  Mark Ryan,et al.  Formalisms for multi-agent systems , 1997, Knowl. Eng. Rev..

[10]  Clarence A. Ellis,et al.  Groupware: some issues and experiences , 1991, CACM.

[11]  K. Sycara,et al.  This Is a Publication of the American Association for Artificial Intelligence Multiagent Systems Multiagent System Issues and Challenges Individual Agent Reasoning Task Allocation Multiagent Planning Recognizing and Resolving Conflicts Managing Communication Modeling Other Agents Managing Resources , 2022 .

[12]  Jacques Ferber,et al.  Les systèmes multi-agents : un aperçu général , 1997 .

[13]  Norbert Glaser Conceptual Modelling of Multi-Agent Systems: The CoMoMAS Engineering Environment , 2002 .

[14]  Norbert Glaser Conceptual Modelling of Multi-Agent Systems , 2002, Multiagent Systems, Artificial Societies, and Simulated Organizations.

[15]  Yann Laurillau,et al.  Conception et réalisation logicielles pour les collecticiels centrées sur l'activité de groupe : le modèle et la plate-forme Clover , 2002 .

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

[17]  Bernard Moulin,et al.  A Scenario-Based Design Method and an Environment for the Development of Multiagent Systems , 1995, DAI.

[18]  Edmund H. Durfee,et al.  Trends in Cooperative Distributed Problem Solving , 1989, IEEE Trans. Knowl. Data Eng..

[19]  Jacques Ferber,et al.  Multi-agent systems - an introduction to distributed artificial intelligence , 1999 .

[20]  Gauthier Picard,et al.  The ADELFE Methodology , 2004 .

[21]  Barbara Messing,et al.  An Introduction to MultiAgent Systems , 2002, Künstliche Intell..

[22]  C. Delporte Habilitation à diriger des recherches , 2003 .

[23]  Nicholas R. Jennings,et al.  Foundations of distributed artificial intelligence , 1996, Sixth-generation computer technology series.

[24]  Manuela M. Veloso,et al.  Multiagent Systems: A Survey from a Machine Learning Perspective , 2000, Auton. Robots.

[25]  K. P. Sycara Multiagent systems : Special issue on agents , 1998 .