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Strategies of abstraction

In the analysis of economic forms, moreover, neither microscopes nor chemical reagents are of use. The force of abstraction must replace both.

Karl Marx

author’s preface to Das Kapital

Abstract

Abstraction is seen as an active process which both enlightens and obscures. Abstractions are not true or false but relatively enlightening or obscuring according to the problem under study; different abstractions may grasp different aspects of a problem. Abstractions may be useless if they can answer questions only about themselves. A theoretical enterprise explores reality through acluster of abstractions that use different perspectives, temporal and horizontal scales, and assumes different givens.

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Notes

  1. Marxists see contradiction as process in time, as opposed to the standard view in analytic philosophy which sees contradiction as a static, set-theoretic relation. The relationship between these concepts is discussed in the last chapter of The Dialetical Biologist.

References

  • Brecht B (2003) To posterity. In: Grimm R, Caroline Molina, Vedia (eds) Bertotlt Brecht: poetry and prose. Continuum Press, New York

  • Levins R, Lewontin R (1985) The dialectical biologist. Harvard University Press, Cambridge MA

    Google Scholar 

  • Lewontin R, Levins R (1989) On the characterization of density and resource availability. Am Nat 134(4):513–524

    Article  Google Scholar 

  • Ollman B (2003) Dance of the dialectic: steps in Marx’s method. University of Illinois Press, Chicago

    Google Scholar 

  • Polya G (1990) Mathematics and plausible reasoning. Princeton University Press, New York

    Google Scholar 

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Levins, R. Strategies of abstraction. Biol Philos 21, 741–755 (2006). https://doi.org/10.1007/s10539-006-9052-8

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  • DOI: https://doi.org/10.1007/s10539-006-9052-8

Keywords

  • Abstraction
  • Models
  • Modeling
  • Complexity
  • Systems