Literature DB >> 26527351

Toward an evolutionary-predictive foundation for creativity : Commentary on "Human creativity, evolutionary algorithms, and predictive representations: The mechanics of thought trials" by Arne Dietrich and Hilde Haider, 2014 (Accepted pending minor revisions for publication in Psychonomic Bulletin & Review).

Liane Gabora1, Stuart Kauffman2.   

Abstract

Dietrich and Haider (Psychonomic Bulletin & Review, 21 (5), 897-915, 2014) justify their integrative framework for creativity founded on evolutionary theory and prediction research on the grounds that "theories and approaches guiding empirical research on creativity have not been supported by the neuroimaging evidence." Although this justification is controversial, the general direction holds promise. This commentary clarifies points of disagreement and unresolved issues, and addresses mis-applications of evolutionary theory that lead the authors to adopt a Darwinian (versus Lamarckian) approach. To say that creativity is Darwinian is not to say that it consists of variation plus selection - in the everyday sense of the term - as the authors imply; it is to say that evolution is occurring because selection is affecting the distribution of randomly generated heritable variation across generations. In creative thought the distribution of variants is not key, i.e., one is not inclined toward idea A because 60 % of one's candidate ideas are variants of A while only 40 % are variants of B; one is inclined toward whichever seems best. The authors concede that creative variation is partly directed; however, the greater the extent to which variants are generated non-randomly, the greater the extent to which the distribution of variants can reflect not selection but the initial generation bias. Since each thought in a creative process can alter the selective criteria against which the next is evaluated, there is no demarcation into generations as assumed in a Darwinian model. We address the authors' claim that reduced variability and individuality are more characteristic of Lamarckism than Darwinian evolution, and note that a Lamarckian approach to creativity has addressed the challenge of modeling the emergent features associated with insight.

Entities:  

Keywords:  Cognitive neuroscience; Communal exchange; Creativity; Darwinian evolution; Dual process; High order cognition; Neuroscience; Prediction; Selection

Mesh:

Year:  2016        PMID: 26527351     DOI: 10.3758/s13423-015-0925-1

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  25 in total

1.  Role of histone H3 lysine 9 methylation in epigenetic control of heterochromatin assembly.

Authors:  J Nakayama ; J C Rice; B D Strahl; C D Allis; S I Grewal
Journal:  Science       Date:  2001-03-15       Impact factor: 47.728

2.  Lamarck revisited.

Authors:  E Mayr
Journal:  J Hist Biol       Date:  1972       Impact factor: 1.326

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

Review 4.  A review of EEG, ERP, and neuroimaging studies of creativity and insight.

Authors:  Arne Dietrich; Riam Kanso
Journal:  Psychol Bull       Date:  2010-09       Impact factor: 17.737

5.  The frailty of adaptive hypotheses for the origins of organismal complexity.

Authors:  Michael Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-09       Impact factor: 11.205

6.  The origin of life and its methodological challenge.

Authors:  G Wächtershäuser
Journal:  J Theor Biol       Date:  1997-08-21       Impact factor: 2.691

Review 7.  A quantum model of exaptation: incorporating potentiality into evolutionary theory.

Authors:  Liane Gabora; Eric O Scott; Stuart Kauffman
Journal:  Prog Biophys Mol Biol       Date:  2013-04-06       Impact factor: 3.667

Review 8.  An evolutionary framework for cultural change: selectionism versus communal exchange.

Authors:  Liane Gabora
Journal:  Phys Life Rev       Date:  2013-03-13       Impact factor: 11.025

9.  Darwinian evolution in the light of genomics.

Authors:  Eugene V Koonin
Journal:  Nucleic Acids Res       Date:  2009-02-12       Impact factor: 16.971

Review 10.  Evolution of microbes and viruses: a paradigm shift in evolutionary biology?

Authors:  Eugene V Koonin; Yuri I Wolf
Journal:  Front Cell Infect Microbiol       Date:  2012-09-13       Impact factor: 5.293

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