Toward an Evolutionary-Predictive Foundation for Creativity
Liane Gabora, Stuart Kauffman

TL;DR
This paper critically examines the application of evolutionary theory to creativity, clarifying misconceptions about Darwinian versus Lamarckian models and proposing a nuanced understanding of creative evolution.
Contribution
It clarifies misconceptions about applying Darwinian evolution to creativity and argues for a more accurate model considering non-generational and directed variation.
Findings
Creativity involves non-random variation and continuous evaluation.
Darwinian models do not fully capture the dynamic nature of creative thought.
Lamarckian approaches address emergent features like insight.
Abstract
Dietrich and Haider (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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
