Literature DB >> 12879701

Adaptationism--how to carry out an exaptationist program.

Paul W Andrews1, Steven W Gangestad, Dan Matthews.   

Abstract

Adaptationism is a research strategy that seeks to identify adaptations and the specific selective forces that drove their evolution in past environments. Since the mid-1970s, paleontologist Stephen J. Gould and geneticist Richard Lewontin have been critical of adaptationism, especially as applied toward understanding human behavior and cognition. Perhaps the most prominent criticism they made was that adaptationist explanations were analogous to Rudyard Kipling's Just So Stories (outlandish explanations for questions such as how the elephant got its trunk). Since storytelling (through the generation of hypotheses and the making of inferences) is an inherent part of science, the criticism refers to the acceptance of stories without sufficient empirical evidence. In particular, Gould, Lewontin, and their colleagues argue that adaptationists often use inappropriate evidentiary standards for identifying adaptations and their functions, and that they often fail to consider alternative hypotheses to adaptation. Playing prominently in both of these criticisms are the concepts of constraint, spandrel, and exaptation. In this article we discuss the standards of evidence that could be used to identify adaptations and when and how they may be appropriately used. Moreover, building an empirical case that certain features of a trait are best explained by exaptation, spandrel, or constraint requires demonstrating that the trait's features cannot be better accounted for by adaptationist hypotheses. Thus, we argue that the testing of alternatives requires the consideration, testing, and systematic rejection of adaptationist hypotheses. Where possible, we illustrate our points with examples taken from human behavior and cognition.

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Year:  2002        PMID: 12879701     DOI: 10.1017/s0140525x02000092

Source DB:  PubMed          Journal:  Behav Brain Sci        ISSN: 0140-525X            Impact factor:   12.579


  32 in total

1.  Male sexual strategies modify ratings of female models with specific waist-to-hip ratios.

Authors:  Gary L Brase; Gary Walker
Journal:  Hum Nat       Date:  2004-06

2.  Testing the Controversy : An Empirical Examination of Adaptationists' Attitudes Toward Politics and Science.

Authors:  Joshua M Tybur; Geoffrey F Miller; Steven W Gangestad
Journal:  Hum Nat       Date:  2007-12

3.  Reasoning about dead agents reveals possible adaptive trends.

Authors:  Jesse M Bering; Katrina McLeod; Todd K Shackelford
Journal:  Hum Nat       Date:  2005-12

Review 4.  Using Evolutionary Theory to Guide Mental Health Research.

Authors:  Zachary Durisko; Benoit H Mulsant; Kwame McKenzie; Paul W Andrews
Journal:  Can J Psychiatry       Date:  2016-02-12       Impact factor: 4.356

5.  Unconscious vigilance: worldview defense without adaptations for terror, coalition, or uncertainty management.

Authors:  Colin Holbrook; Paulo Sousa; Jennifer Hahn-Holbrook
Journal:  J Pers Soc Psychol       Date:  2011-09

6.  Socio-sexuality and episodic memory function in women: further evidence of an adaptive "mating mode".

Authors:  David S Smith; Benedict C Jones; Kevin Allan
Journal:  Mem Cognit       Date:  2013-08

7.  Evolution of mechanisms and behaviour important for pain.

Authors:  Edgar T Walters; Amanda C de C Williams
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-09-23       Impact factor: 6.237

8.  Adaptive mechanisms driving maladaptive pain: how chronic ongoing activity in primary nociceptors can enhance evolutionary fitness after severe injury.

Authors:  Edgar T Walters
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-09-23       Impact factor: 6.237

Review 9.  The bright side of being blue: depression as an adaptation for analyzing complex problems.

Authors:  Paul W Andrews; J Anderson Thomson
Journal:  Psychol Rev       Date:  2009-07       Impact factor: 8.934

Review 10.  Schizophrenia, psychiatric genetics, and Darwinian psychiatry: an evolutionary framework.

Authors:  Godfrey D Pearlson; Bradley S Folley
Journal:  Schizophr Bull       Date:  2007-11-21       Impact factor: 9.306

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