Table des matières - Gilles Daniel

148 Modélisation et simulation multi-agents pour Sciences de l'Homme et de la Société.
6.6. Bibliographie
[ART 97] ARTHUR W.B., HOLLAND J.H., LEBARON B., PALMER R., TAYLER P., “Asset Pricing
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[AXE 81] AXELROD R., HAMILTON W.D., “The Evolution of Cooperation”, Science, vol.211, p.
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[AXE 84] AXELROD R., The Evolution of Cooperation. New York, N.Y., Basic Books, 1984.
[AXT 99] AXTELL R.L., “The Emergence of Firms in a Population of Agents: Local
Increasing Returns, Unstable Nash Equilibria, and Power Law Size Distributions”, SFI
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[AXT 01] AXTELL R.L, EPSTEIN J.M., YOUNG H.P., “The Emergence of Classes in a Multi-
Agent Bargaining Model”, in Durlauf S.N., Young H.P. (eds.), Social Dynamics,
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[AXT 02a] AXTELL R.L., “Non-Cooperative Dynamics of Multi-Agent Teams”, Proceedings
of the First International Joint Conference on Autonomous Agents and Multiagent
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[AXT 02b] AXTELL R.L, EPSTEIN J.M., DEAN J.S., GUMERMAN G.J., SWEDLUND A.C.,
HARBURGER J., CHAKRAVARTY S., HAMMOND R., PARKER J., PARKER M.T., “Population
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[BAR 95] BARRETT C., BIRKBIGLER K., SMITH L., LOOSE V., BECKMAN R., DAVIS J., ROBERTS
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[BAR 01] BARRETEAU O., BOUSQUET F., ATTONATY J.-M., “Role-playing games for opening
the black box of multi-agent systems: Method and lessons of its application to Senegal
River Valley irrigated systems”, Journal of Artificial Societies and Social Simulation,
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[BAT 05] BATTY M., Cities and Complexity: Understanding Cities with Cellular Automata,
Agent-Based Models, and Fractals, Cambridge, MA, MIT Press, 2005.
[CAR 02] CARPENTER J., “Evolutionary Models of Bargaining: Comparing Agent-Based
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[CON 01] CONT R., “Empirical Properties of Asset Returns: Stylized Facts and Statistical
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[CYE 63] CYERT R.M., MARCH J.G., A Behavioral Theory of the Firm, Englewood Cliffs, NJ,
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[DAN 92] DANIELSON P., Artificial Morality: Virtuous Robots for Virtual Games, New York,
Routledge, 1992.