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Massive multi-agent systems control

Published: 26 April 2004 Publication History

Abstract

In order to build massive multi-agent systems, considered as complex and dynamic systems, one needs a method to analyze and control the system. We suggest an approach using morphology to represent and control the state of large organizations composed of a great number of light software agents. Morphology is understood as representing the state of the multi-agent system as shapes in an abstract geometrical space, this notion is close to the notion of phase space in physics.

References

[1]
Alain CARDON. Modéliser et concevoir une machine pensante. Approche constructible de la conscience artificielle. Éditions Automates Intelligents, march 2003.
[2]
F. CHANTEMARGUE, T. DAGAEFF, M. SCHUMACHER, and B. HIRSBRUNNER. The emergence of cooperation in a multiagent system, 1996.
[3]
Institut de Recherche en Informatique de Toulouse (IRIT). Théorie AMAS. http://www.irit.fr/SMAC/.
[4]
Catriona Mairi KENNEDY. Distributed reflective architectures for anomaly and autonomous recovery. PhD thesis, School of Computer Science, Faculty of Science, University of Birmingham, 2003.
[5]
Samuel LANDAU. Des AG vers les GA. PhD thesis, Université de Paris VI, 2002.

Cited By

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  • (2005)A self-adapting system generating intentional behavior and emotionsProceedings of the Second international conference on Radical Agent Concepts: innovative Concepts for Autonomic and Agent-Based Systems10.1007/11964995_4(33-52)Online publication date: 20-Sep-2005

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Published In

cover image Guide Proceedings
FAABS'04: Proceedings of the Third international conference on Formal Approaches to Agent-Based Systems
April 2004
290 pages
ISBN:3540244220
  • Editors:
  • Michael G. Hinchey,
  • James L. Rash,
  • Walter F. Truszkowski,
  • Christopher A. Rouff

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 26 April 2004

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Cited By

View all
  • (2005)A self-adapting system generating intentional behavior and emotionsProceedings of the Second international conference on Radical Agent Concepts: innovative Concepts for Autonomic and Agent-Based Systems10.1007/11964995_4(33-52)Online publication date: 20-Sep-2005

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