Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bak, P.: How Nature Works. Oxford University Press, London (1997)
DeGroot, M.H.: A conversation with George box. Statistical Science 2(3), 239–258 (1987). doi:10.1214/ss/1177013223
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)
Gillespie, D.T.: Exact stochastic simulation of coupled chemical reactions. Journal of Physical Chemistry 81(25), 2340–2361 (1977)
Gross, D., Strand, R.: Can agent-based models assist decisions on large-scale practical problems? A philosophical analysis. Complexity 5(5), 26–33 (2000)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2010 Springer-Verlag London Limited
About this chapter
Cite this chapter
Barnes, D.J., Chu, D. (2010). Foundations of Modeling. In: Introduction to Modeling for Biosciences. Springer, London. https://doi.org/10.1007/978-1-84996-326-8_1
Download citation
DOI: https://doi.org/10.1007/978-1-84996-326-8_1
Publisher Name: Springer, London
Print ISBN: 978-1-84996-325-1
Online ISBN: 978-1-84996-326-8
eBook Packages: Computer ScienceComputer Science (R0)