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Multi-agent simulation as a tool for modeling societies: Application to social differentiation in ant colonies

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Artificial Social Systems (MAAMAW 1992)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 830))

Abstract

This paper presents the notion of multi-agent simulation that is based on the definition of computational agents that represent individual organisms (or groups of organisms) in a one to one correspondence. We discuss the properties of multi-agent simulation. We then present a multiagent simulation system based on the definition of reactive agents whose behavior is governed by the selection of simple competing tasks due to stimulus's perception. An example of a simulation of an ant colony follows as an illustration of the multiple domains in which multi-agent simulation may be used.

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References

  • G. Agha (1986) “Actors — A model of Concurrent Computation for Distributed Systems”, MIT Press.

    Google Scholar 

  • P. E. Agre & D. Chapman (1987) “Pengi: an implementation of a theory of activity” in “Proceedings of the sixth National Conference on AI”, 1987, pp. 268–272.

    Google Scholar 

  • H. Atlan (1972) “L'organisation biologique et la théorie de l'information”, Hermann, Paris 1972 (in french).

    Google Scholar 

  • R.D. Beer (1990), Intelligence as Adaptive Behavior, Academic Press.

    Google Scholar 

  • F. Bousquet, C. Cambier, C. Mullon & J. Quensiere (1992) “Simulating Fishermen Society”, Simulating Societies Symposium, University of Surrey, April 1992.

    Google Scholar 

  • J.P. Briot (1988) “From Objects to Actors, study of a limited symbiosis in Smalltalk-80”, LITP Report 88-58RXF.

    Google Scholar 

  • R. Brooks (1990) “Elephants Don't Play Chess” in “Journal of Robotics and Autonomous Systems”, Volume 6, p. 3–15.

    Google Scholar 

  • R. Brooks (1991) “Intelligence without Reason” in “Proceedings of IJCAI'91”, Volume 1, pp. 569–595.

    Google Scholar 

  • C. Castelfranchi & R. Conte (1992) “Mind is not enough: Precognitive bases of social interaction”, Simulating Societies Symposium, April 1992.

    Google Scholar 

  • P.R. Cohen & H.J. Levesque (1990) “Intention is Choice with Commitment”, in Artificial Intelligence, 42.

    Google Scholar 

  • D. Connah (1991) “Why we need a New Approach to the Design of Agents”, AISBQ n∘76, Spring 1991.

    Google Scholar 

  • R.J. Collins, D.R. Jefferson (1991a) “Ant Farm: Towards Simulated Evolution”, in “Artificial Life II”, C. Langton Ed, Addison-Wesley, 1991.

    Google Scholar 

  • R.J. Collins, D.R. Jefferson (1991b) “Representation for Artificial Organisms” in “From Animals to Animats”, MIT Press, page 382.

    Google Scholar 

  • B. Corbara, D. Fresneau, J.P. Lachaud, Y. Leclerc, G. Goodall (1986) “An automated photographic technique for behavioural investigations of social insects” in “Behavioural Processes” 13, p. 237–249.

    Google Scholar 

  • B. Corbara, J.P. Lachaud, D. Fresneau (1989) “Individual Variability, Social Structure and Division of Labour in the Ponerine Ant Ectatomma Ruidum Roger (Hymenoptera, Formicidae)” in Ethology 82, p. 89–100.

    Google Scholar 

  • B. Corbara (1991), “L'organisation sociale et sa genése chez la fourmi Ectatomma Ruidum Roger”, PhD Thesis, Université Paris XIII, 1991 (in french).

    Google Scholar 

  • J.L. Deneubourg, S. Aron, S. Goss, J.M. Pasteels, G. Duerinck (1986) “Random Behaviour, Amplification Processes and Number of Participants: How they Contribute to the Foraging Properties of Ants” in Physica 22D, North-Holland, Amsterdam, p. 176–186.

    Google Scholar 

  • J.L. Deneubourg, S. Goss, J. Pasteels, D. Fresneau, J.P. Lachaud (1987) “Selforganization mechanisms in ant societies (II): learning in foraging and division of labor” in “From Individual to Collective Behaviour in Social Insects”, Experientia Supplementum vol. 54, Birkhäuser Verlag, Basel, p. 177–196.

    Google Scholar 

  • J.L. Deneubourg, S. Goss (1989) “Collective patterns and decision-making” in “Ethology Ecology & Evolution” 1: p. 295–311.

    Google Scholar 

  • J.L.Deneubourg, S.Goss, N.Franks, A.Sendova-Franks, C.Detrain, L.Chretien (1991) “The dynamics of collective sorting Robot-like Ants and Ant-like Robots” in “From Animals to Animats”, MIT Press, p. 356.

    Google Scholar 

  • J. Doran, H. Carvajal, Y.J. Choo and Y. Li (1991), “The MCS Multi-Agent Testbed, Developments and Experiments”, in “Cooperating Knowledge Based Systems”, S.M. Deen Ed., Springer Verlag, 1990.

    Google Scholar 

  • J. Doran, M. Palmer, N. Gilbert (1992) “The EOS Project: Modelling Upper Palaeolithic Social Change”, Simulating Societies Symposium, University of Surrey, April 1992.

    Google Scholar 

  • A. Drogoul, J. Ferber, E. Jacopin (1991) “Viewing Cognitive Modeling as Eco-Problem-Solving: the Pengi Experience”, LAFORIA Technical Report, n∘2/91

    Google Scholar 

  • A.Drogoul & C. Dubreuil (1991) “EcoProblem Solving Model: Results of the N-Puzzle” in (Werner & Demazeau 1992)

    Google Scholar 

  • A. Drogoul & C. Dubreuil (1992) “Reactive Agents and Self-Organization”, in prep.

    Google Scholar 

  • A. Drogoul, B. Corbara, D. Fresneau (1992a) “Applying EthoModeling to Social Organization in Ants” in “Biology and Evolution of Social Insects”, J. Billen eds, Leuven University Press.

    Google Scholar 

  • A. Drogoul, J. Ferber, B. Corbara, D. Fresneau (1992b), “A Behavioral Simulation Model for the Study of Emergent Social Structures” in “Proceedings of ECAL'91”, MIT Press, to be published.

    Google Scholar 

  • S. Hickman, M. Shiels (1991), “Situated Action as a Basis for Cooperation”, in “Decentralized AI 2”, North-Holland, 1991.

    Google Scholar 

  • D. Hofstadter (1979) “Gödel, Escher, Bach: an Eternal Golden Braid”, Basic Books, Inc., Publishers, New York

    Google Scholar 

  • P. Hogeweg, B. Hesper (1983) “The Ontogeny of the Interaction Structure in Bumble Bee Colonies: a MIRROR model” in “Behavioral Ecology & Sociobiology” 12, Springer-Verlag, p. 271–283

    Google Scholar 

  • P. Hogeweg, B. Hesper (1985) “SocioInformatic Processes: MIRROR Modeling Methodology” in J. theor. Biol. 113, Academic Press Inc., London, p. 311–330

    Google Scholar 

  • P. Hogeweg, B. Hesper (1991) “Evolution as pattern processing: TODO as substrate for evolution” in “From Animals to Animats”, MIT Press, p. 492

    Google Scholar 

  • J.P. Lachaud, D. Fresneau (1987) “Social Regulation in Ponerine Ants” in “From Individual to Collective Behaviour in Social Insects”, Experientia Supplementum vol. 54, Birkhäuser Verlag, Basel, p. 197–217.

    Google Scholar 

  • Long-Ji Lin (1991) “Self-improving Reactive Agents: Case Studies of Reinforcement Learning Frameworks” in “From Animals to Animats”, MIT Press, p. 297.

    Google Scholar 

  • D. MacFarland (1981) “The Oxford Companion to Animal Behaviour”, Oxford 1981.

    Google Scholar 

  • P. Maes (1990) “Situated Agents can have Goals” in “Journal of Robotics and Autonomous Systems”, Vol. 6, p. 49–70.

    Google Scholar 

  • P. Maes (1991) “A Bottom-Up Mechanism For Behavior Selection In An Artificial Creature” in “From Animals to Animats”, MIT Press, page 239

    Google Scholar 

  • J. A. Meyer & S.W Wilson (1991), “From Animals to Animats”, MIT Press.

    Google Scholar 

  • I. Prigogine & I. Stengers (1984), “Order out of Chaos”, New York: Bantam Books.

    Google Scholar 

  • U. Schnepf (1991) “Robot Ethology: a Proposal for the Research into Intelligent Systems” in “From Animals to Animats”, MIT Press, page 465

    Google Scholar 

  • H. Simon (1969) “The Sciences of the Artificial”, MIT Press.

    Google Scholar 

  • L. Steels (1989) “Cooperation between distributed agents Through selforganisation” in “Journal on robotics and autonomous systems”, North Holland, Amsterdam.

    Google Scholar 

  • L. Steels (1991) “Towards a Theory of Emergent Functionality” in “From Animals to Animats”, MIT Press, p. 451.

    Google Scholar 

  • G. Theraulaz, S. Goss, J. Gervet, J.L. Deneubourg (1991) “Task differentiation in Polistes wasp colonies: a model for self-organizing groups of robots” in “From Animals to Animats”, MIT Press, p. 346.

    Google Scholar 

  • T. Tyrrell and J.E.W. Mayhew (1991) “Computer Simulation of an Animal Environment” in “From Animals to Animats”, MIT Press, p. 263.

    Google Scholar 

  • F. Varela (1983), “L'auto-organisation: de l'apparence au mécanisme”, in “Colloque de Cerisy sur l'auto-organisation”, Le Seuil, 1983 (in french).

    Google Scholar 

  • P. Wavish (1992), “Exploiting Emergent Behaviour in Multi-Agent Systems” in (Werner & Demazeau 1992).

    Google Scholar 

  • J.B. Watson (1925), “Behaviorism”, New York 1925.

    Google Scholar 

  • E. Werner & Y.Demazeau (1992) “Decentralized AI 3”, North-Holland, June 1992.

    Google Scholar 

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Authors and Affiliations

  1. LAFORIA, Université Paris VI, Boîte 169, 75252, Paris Cedex O5, France

    Alexis Drogoul & Jacques Ferber

Authors
  1. Alexis Drogoul
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  2. Jacques Ferber
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Cristiano Castelfranchi Eric Werner

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© 1994 Springer-Verlag Berlin Heidelberg

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Drogoul, A., Ferber, J. (1994). Multi-agent simulation as a tool for modeling societies: Application to social differentiation in ant colonies. In: Castelfranchi, C., Werner, E. (eds) Artificial Social Systems. MAAMAW 1992. Lecture Notes in Computer Science, vol 830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58266-5_1

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  • DOI: https://doi.org/10.1007/3-540-58266-5_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58266-3

  • Online ISBN: 978-3-540-48589-6

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