David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
International Studies in the Philosophy of Science 6 (3):241 – 248 (1992)
Abstract Although mathematical descriptions of the dynamics of system are widely employed in the physical sciences, they are employed infrequently in the biological sciences. The explanation for this usually appeals to the complexity of biological systems. I contend that quite the opposite is true and that such descriptions, in fact, enable complexity to be tamed. Moreover, in those areas in which mathematical descriptions have been used in the biological sciences, they provide a powerful vehicle for expanding our understanding of the systems through an exploration of the mathematical models. Such investigations yield surprising information about the dynamics of the system some of which cannot be discovered through empirical investigation alone
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Jerry L. R. Chandler (2009). Algebraic Biology: Creating Invariant Binding Relations for Biochemical and Biological Categories. [REVIEW] Axiomathes 19 (3):297-320.
R. Badii (1997). Complexity: Hierarchical Structures and Scaling in Physics. Cambridge University Press.
Titus R. Neumann, Susanne Huber & Heinrich H. Bülthoff (2001). Artificial Systems as Models in Biological Cybernetics. Behavioral and Brain Sciences 24 (6):1071-1072.
Mauro Dorato (2012). Mathematical Biology and the Existence of Biological Laws. In DieksD (ed.), Probabilities, Laws and Structure. Springer.
Gin McCollum (2001). Navigating the Complex Dynamics of Memory and Desire: Mathematics Accommodates Continuous and Conditional Dynamics. Behavioral and Brain Sciences 24 (1):51-53.
Peter Richerson (2007). A Prolegomenon to Nonlinear Empiricism in the Human Behavioral Sciences. Biology and Philosophy 22 (1):1-33.
Donald Lawson Turcotte, John Rundle & Hans Frauenfelder (eds.) (2002). Self-Organized Complexity in the Physical, Biological, and Social Sciences. National Academy of Sciences.
Robert Wachbroit (1994). Normality as a Biological Concept. Philosophy of Science 61 (4):579-591.
Metoděj K. Chytil (1977). On the Concept of Biomathematics. Acta Biotheoretica 26 (2).
Added to index2009-02-01
Total downloads3 ( #302,819 of 1,099,672 )
Recent downloads (6 months)1 ( #301,057 of 1,099,672 )
How can I increase my downloads?