Table des matières - Gilles Daniel

La fin des débuts pour les systèmes multi-agents en sciences sociales. 149
[DAR 01] DARLEY V., OUTKIN A., PLATE T., GAO F., “Learning, Evolution and Tick Size
Effects in a Simulation of the NASDAQ Stock Market”, Proceedings of the 5th World
Multi-Conference on Systemics, Cybernetics and Informatics (SCI 2001), Orlando, FL, 2001.
[DOW 01] DOWNING T., MOSS S., PAHL-WOSTL C., “Understanding Climate Policy Using
Participatory Agent-Based Social Simulation”, in Moss S., Davidsson, P. (eds.), Multi-
Agent-Based Simulation, Second International Workshop (MABS 2000), Lecture Notes in
Computer Science, Springer, Berlin, Springer-Verlag, p. 198-213, 2001.
[EPS 96] EPSTEIN J. M., AXTELL R., Growing Artificial Societies : Social Science from the Bottom
Up, Cambridge, MA, MIT Press, 1996.
[EUB 04] EUBANK S., GUCLU H., KUMAR V.S.A., MARATHE M.V., SRINIVASAN A., TOROCZKAI
Z., WANG N., “Modelling Disease Outbreaks in Realistic Urban Social Networks”,
Nature, vol.429, p. 180-184, 2004.
[GIL 94] GILBERT N., DORAN J. (eds.), Simulating Societies: The Computer Simulation of
Social Phenomena, London, UCL Press, 1994.
[GIL 95] GILBERT N., CONTE R. (eds.), Artificial Societies: The Computer Simulation of
Social Life, London, UCL Press, 1995.
[HAL 01] HALES D., Tag Based Cooperation in Artificial Societies, Ph.D. Thesis, Department
of Computer Science, University of Essex, 2001.
[HAL 02] HALLORAN M.E., LONGINI Jr.I.M., Nizam A., Yang Y., “Containing Bioterrorist
Smallpox”, Science, vol.298, n°5597, p. 1428-1432, 2002.
[HOL 91] Holland J.H., Miller J., "Artificial Adaptive Agents in Economic Theory",
American Economic Review, vol.81, n°2, p. 363-370, 1991.
[ILA 04] ILACHINSKI A., Artificial War: Multiagent-Based Simulation of Combat, Singapore,
World Scientific Publishing, 2004.
[KER 27] KERMACK W.O., MCKENDRICK A.G., ”A Contribution to the Mathematical Theory
of Epidemics”, Proc. Roy. Soc. Lond. A, vol.115, p. 700-721, 1927.
[KOH 00] KOHLER T.A., GUMERMAN G.J. (eds.), Dynamics in Human and Primate Societies:
Agent-Based Modeling of Social and Spatial Processes, Santa Fe Institute Studies in the
Sciences of Complexity, New York, Oxford University Press, 2000.
[KOH 05] KOHLER T.A., GUMERMAN G.J., REYNOLDS R.G., “Simulating Ancient Societies”,
Scientific American, p. 76-84, juillet 2005.
[KOL 97] KOLLMAN K., MILLER J.H., PAGE S.E., “Political Institutions and Sorting in a
Tiebout Model”, American Economic Review, vol.87, n°5, p. 977-992, 1997.
[LEB 01] LEBARON B., “Empirical Regularities from Interacting Long and Short Memory
Investors in an Agent-Based Stock Market”, IEEE Transactions on Evolutionary
Computation, vol.5, p. 442-455, 2001.
[LEB 02] LEBARON B., “Short-Memory Traders and Their Impact on Group Learning in
Financial Markets”, PNSA, vol.99, n°3, p. 7201-7206, 2002.