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Agent-Based Environments: A Review

  • Alessandro Perrone
Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 551)

Summary

Recent years have seen a proliferation of Multi-agent-based simulation (MABSS) models, in a growing range of domains, and using an increasing variety of software. In this article we compare some Agent Based environments anyone can download in Internet. The aim of this article is to discuss the general principles of each environment, and not to say which is the best or the worst one. The comparison is performed along several dimensions such as ease of learning, flexibility, available support, etc. It should also help the choice of a language by potential practitioners of agent-based economic. At the end of this article there’s a personal proposition about these environments of the author.

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References

  1. 1.
    Collier Nick, (2000) “RePast: An Extensible Framework for Agent Simulation”Google Scholar
  2. 2.
    Corazza M., Perrone A. (2001), “Simulating fractal financial markets”, in F. Luna and A. Perrone (eds.), “Agent based methods in Economics and Finance: simulations in Swarm”, Dordrecht and London, Kluwer Academic PressGoogle Scholar
  3. 3.
    Epstein J., Axtell R. (1996), “Growing artificial societies: social science from the bottom-up”, Cambridge (Mass), MIT PressGoogle Scholar
  4. 4.
    Ferraris G. (1999), “Algoritmi genetici e classifiers systems in Swarm: due pacchetti per la realizzazione di modelli, due applicazioni economiche ed un. formichiere affamato”, mimeo, Turin paper presented at IRES conference “Simulare con Agenti per l’analisi socieconomica” 28th October 1999Google Scholar
  5. 5.
    Foucart Louis “’A Small Multi Agent Systems Review” available at http://geneura.ugr.es/louis/masReview.htmlGoogle Scholar
  6. 6.
    Holland, J. H., Reitman J. S. (1978), “Cognitive systems based on adaptive algorithms”, in D.A. Waterman and F. Hayes-Roth (eds.), “Pattern-Directed Inference Systems”, New York, Academic PressGoogle Scholar
  7. 7.
    Johnson P., Lancaster A. (1999), “Swarm user guide”, mimeoGoogle Scholar
  8. 8.
    Le Baron B. (2000), “Agent based computational finance: suggested readings and early research”, Journal of Economic Dynamics and Control, vol. 24, n. 5–7, pp. 679–702MATHGoogle Scholar
  9. 9.
    Luna F., Stefansson B. (2000), “Economic simulation with Swarm: Agent based modelling and object oriented programming”, Dordrecht and London, Kluwer Academic PressGoogle Scholar
  10. 10.
    Luna F., Perrone A. (2001), “Agent based methods in Economics and Finance: simulations in Swarm”, Dordrecht and London, Kluwer Academic PressGoogle Scholar
  11. 11.
    Minar N., Burkhart R., Langton C, Askenazi M. (1996), “The SWARM simulation system: a tool-kit for building multi-agent simulations”, working paper Santa Fe InstituteGoogle Scholar
  12. 12.
    Parker, Miles (2000) “Ascape: Abstracting Complexity”Google Scholar
  13. 13.
    Parker, Miles (2001) “What is Ascape and why should you care” published in JASS and avaialble at http://jasss.soc.surrey.ac.Uk/4/l/5.htmlGoogle Scholar
  14. 14.
    Parisi D. (2001), “Simulazioni: la realtà rifatta nel computer”, Bologna, II MulinoGoogle Scholar
  15. 15.
    Terna P. (2000), “Economic experiments with Swarm: a neural network approach to the self-development of consistency in agent behavior” in F. Luna and B. Stefansson (eds.), “Economic simulations in Swarm: agent based modelling and object oriented programming”, Dordrecht and London, Kluwer Academic PressGoogle Scholar
  16. 16.
    Terna P. (2001), “Cognitive agents behaving in a simple stock market structure”, in F. Luna and A. Perrone (eds.), “Agent based methods in Economics and Finance: simulations in Swarm”, Dordrecht and London, Kluwer Academic PressGoogle Scholar
  17. 17.
    Tesfatsion L. (1996), “How economists can get alife”, in B. Arthur, S. Durlauf and D. Lane (eds.), “The economy as an evolving complex system II”, Santa Fe institute in the science of complexity, vol. XXVII, Addison-Wesley, Reading (MA), pp. 533–64Google Scholar
  18. 18.
    Tesfatsion L. (2001), “Introduction to the special issue on agent based computational Economics”, Journal of Economic Dynamics and Control, vol. 25, n. 3–4, pp. 281–93MATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Alessandro Perrone
    • 1
  1. 1.University of VeniceVenice

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