Foundations of Modeling



This introductory chapter discusses some basic principles of biological modeling. Specifically, it presents some practical advice on how to approach modeling problems in biology. This chapter sets the scene for the rest of the book, and is particularly intended for the scientist who has little previous experience in modeling.


Explanatory Model Modeling Project Modeling Skill Stochastic Behavior Modeling Enterprise 
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  1. 1.
    Bak, P.: How Nature Works. Oxford University Press, London (1997) Google Scholar
  2. 12.
    DeGroot, M.H.: A conversation with George box. Statistical Science 2(3), 239–258 (1987). doi: 10.1214/ss/1177013223 MathSciNetzbMATHCrossRefGoogle Scholar
  3. 17.
    Frette, V., Christensen, K., Malthe-Sorenssen, A., Feder, J., Jssang, T., Meakin, P.: Avalanche dynamics in a pile of rice. Nature 379, 49–52 (1996) CrossRefGoogle Scholar
  4. 21.
    Gillespie, D.T.: Exact stochastic simulation of coupled chemical reactions. Journal of Physical Chemistry 81(25), 2340–2361 (1977) CrossRefGoogle Scholar
  5. 25.
    Gross, D., Strand, R.: Can agent-based models assist decisions on large-scale practical problems? A philosophical analysis. Complexity 5(5), 26–33 (2000) CrossRefGoogle Scholar

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© Springer-Verlag London Limited 2010

Authors and Affiliations

  1. 1.Computing LaboratoryUniversity of KentCanterbury, KentUK

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