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How to build and use agent-based models in social science

Author

Listed:
  • Nigel Gilbert
  • Pietro Terna
Abstract
No abstract is available for this item.

Suggested Citation

  • Nigel Gilbert & Pietro Terna, 2000. "How to build and use agent-based models in social science," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 1(1), pages 57-72, March.
    • Handle: RePEc:spr:minsoc:v:1:y:2000:i:1:p:57-72
    DOI: 10.1007/BF02512229
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    References listed on IDEAS

    as
    1. Kleijnen, J.P.C., 1998. "Validation of Simulation, With and Without Real Data," Discussion Paper 1998-22, Tilburg University, Center for Economic Research.
    2. Nigel Gilbert, 1999. "Multi-Level Simulation in Lisp-Stat," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 2(1), pages 1-3.
    3. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    4. Gérard Ballot & Erol Taymaz, 1999. "Technological Change, Learning and Macro-Economic Coordination: an Evolutionary Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 2(2), pages 1-3.
    5. Holland, John H & Miller, John H, 1991. "Artificial Adaptive Agents in Economic Theory," American Economic Review, American Economic Association, vol. 81(2), pages 365-371, May.
    6. Robert Axelrod, 1997. "Advancing the Art of Simulation in the Social Sciences," Working Papers 97-05-048, Santa Fe Institute.
    7. Pietro Terna, 1998. "Simulation Tools for Social Scientists: Building Agent Based Models with SWARM," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(2), pages 1-4.
    Full references (including those not matched with items on IDEAS)

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