Literature DB >> 20502982

Evolutionary epistemology as a scientific method: a new look upon the units and levels of evolution debate.

Nathalie Gontier1.   

Abstract

Evolutionary epistemology can provide a unified scientific methodology that enables scholars to study the evolution of life as well as the evolution of cognition, science, culture and any other phenomenon displayed by living organisms. In this article, three heuristics are provided that allow for a thorough search for the units, levels and mechanisms of evolution. Contrary to previous approaches, units, levels and mechanisms are not identified by pointing out essential features, but rather ostensive definitions are preferred. That is, units are considered as such if a level of evolution and a mechanism of evolution is identifiable. Levels are levels if one can point out units that evolve at that level according to evolutionary mechanisms, and mechanisms are considered as such if one can point out units and levels where the mechanism is active.

Mesh:

Year:  2010        PMID: 20502982     DOI: 10.1007/s12064-010-0085-9

Source DB:  PubMed          Journal:  Theory Biosci        ISSN: 1431-7613            Impact factor:   1.919


  6 in total

Review 1.  Visuomotor neurons: ambiguity of the discharge or 'motor' perception?

Authors:  L Fadiga; L Fogassi; V Gallese; G Rizzolatti
Journal:  Int J Psychophysiol       Date:  2000-03       Impact factor: 2.997

Review 2.  A general account of selection: biology, immunology, and behavior.

Authors:  D L Hull; R E Langman; S S Glenn
Journal:  Behav Brain Sci       Date:  2001-06       Impact factor: 12.579

3.  Blind variation and selective retention in creative thought as in other knowledge processes.

Authors:  D T CAMPBELL
Journal:  Psychol Rev       Date:  1960-11       Impact factor: 8.934

4.  The evolution of verbal behavior.

Authors:  B F Skinner
Journal:  J Exp Anal Behav       Date:  1986-01       Impact factor: 2.468

5.  Selection by consequences.

Authors:  B F Skinner
Journal:  Science       Date:  1981-07-31       Impact factor: 47.728

6.  Defining genes: a computational framework.

Authors:  Peter F Stadler; Sonja J Prohaska; Christian V Forst; David C Krakauer
Journal:  Theory Biosci       Date:  2009-06-26       Impact factor: 1.919

  6 in total

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