Inferring Equation-Based Models from Agent-Based Models: A Case Study in Competition Dynamics

  • Ngoc Doanh Nguyen
  • Patrick Taillandier
  • Alexis Drogoul
  • Pierre Auger
Conference paper

DOI: 10.1007/978-3-642-25920-3_30

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7057)
Cite this paper as:
Nguyen N.D., Taillandier P., Drogoul A., Auger P. (2012) Inferring Equation-Based Models from Agent-Based Models: A Case Study in Competition Dynamics. In: Desai N., Liu A., Winikoff M. (eds) Principles and Practice of Multi-Agent Systems. PRIMA 2010. Lecture Notes in Computer Science, vol 7057. Springer, Berlin, Heidelberg

Abstract

Two types of model, equation-based models (EBMs) and agent-based models (ABMs) are now widely used in modeling ecological complex systems and seem not to be reconciled. While ABMs can help in exploring and explaining the local causes of global phenomena, EBMs are useful for predicting their long-term evolution without having to explore them through simulated experiments. In this paper, we show that it is possible to use an ABM to infer an EBM. Base on the case study, a dynamics of two competing species, we illustrate our methodology through the presentation of two models: an ABM and an EBM. We also show that the two models give the same results on coexistence of the two competing species.

Keywords

Agent-Based Models Equation-Based Models Population Dynamics Complex Systems 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ngoc Doanh Nguyen
    • 1
    • 2
  • Patrick Taillandier
    • 1
    • 2
  • Alexis Drogoul
    • 1
    • 2
  • Pierre Auger
    • 2
    • 3
  1. 1.MSI, IFIHanoiVietnam
  2. 2.UMMISCO, UMI 209, IRD/UPMCBondy CedexFrance
  3. 3.LMPD, University Cadi AyyadMarrakechMorocco

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