Creative thought as blind-variation and selective-retention: Combinatorial models of exceptional creativity
Abstract
Campbell (1960) proposed that creative thought should be conceived as a blind-variation and selective-retention process (BVSR). This article reviews the developments that have taken place in the half century that has elapsed since his proposal, with special focus on the use of combinatorial models as formal representations of the general theory. After defining the key concepts of blind variants, creative thought, and disciplinary context, the combinatorial models are specified in terms of individual domain samples, variable field size, ideational combination, and disciplinary communication. Empirical implications are then derived with respect to individual, domain, and field systems. These abstract combinatorial models are next provided substantive reinforcement with respect to findings concerning the cognitive processes, personality traits, developmental factors, and social contexts that contribute to creativity. The review concludes with some suggestions regarding future efforts to explicate creativity according to BVSR theory.
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The increase in quantity of ideas generated did not result in a commensurate increase in diversity as might be expected if diversity is a linear function of quantity.
“suggesting that the increase in quantity of ideas generated did not result in a commensurate increase in diversity as might be expected if diversity is a linear function of quantity [80].”
From Homogenization Effects of Large Language Models on Human Creative Ideation (2024) · cites this paper as [80]
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Eminence, IQ, Physical and Mental Health, and Achievement Domain: Cox's 282 Geniuses Revisited
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Self-citationArtistic creation as stimulated by superimposed versus separated visual images.
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Creative Cultures, Nations, and Civilizations
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Self-citationHistoire des sciences et des savants depuis deux siècles
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Age and Creative Productivity: Nonlinear Estimation of an Information-Processing Model
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Self-citationA framework for the cognitive psychology of science
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Does scholarly impact decline with age?
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Biographical Typicality, Eminence and Achievement Styles
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Self-citationGender and genius in japan: Feminine eminence in masculine culture
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Self-citationHuber, J. C. (1998) · Creativity Research Journal · doi:10.1207/s15326934crj1103_3 · Cited by 63 · see citing works
Artistic creation as stimulated by superimposed versus combined-composite visual images.
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Is Science Really a Young Man's Game?
Wray, K. B. (2003) · Social Studies of Science · doi:10.1177/0306312703033001961 · Cited by 60 · see citing works
Simonton, D. K. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.55.2.230 · Cited by 58 · see citing works
Self-citationIs creativity a Darwinian process?
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Creative expression in virtual worlds: Imitation, imagination, and individualized collaboration.
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Career Development in Two Seminal American Songwriters: A Test of the Equal Odds Rule
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Multiple Discoveries and the Central Message
Patinkin, D. (1983) · American Journal of Sociology · doi:10.1086/227867 · Cited by 53 · see citing works
Techno-scientific activity and war: A yearly time-series analysis, 1500–1903 A. D.
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Self-citationGroup Artistic Creativity: Creative Clusters and Cinematic Success in Feature Films1
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Self-citationYoung-gun, K., & Kim, J. (2008) · Creativity Research Journal · doi:10.1080/10400410802278677 · Cited by 51 · see citing works
The Exponential Increase Of Man's Cultural Output
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Age and achievement in psychology: The harmonic mean as a model.
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Creativity and psychopathology: a neurocognitive perspective.
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Darwinian ‘blind’ hypothesis formation revisited
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Self-citationHistorical Distributions of Multiple Discoveries and Theories of Scientific Change
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A Statistical Analysis of Special Cases of Creativity
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Independent Discovery in Science and Technology: A Closer Look at the Poisson Distribution
Simonton, D. K. (1978) · Social Studies of Science · doi:10.1177/030631277800800405 · Cited by 45 · see citing works
Self-citationHeyes, C. M., & Hull, D. L. (2001) · Cited by 44 · see citing works
Scientific production: A statistical analysis of authors in mathematical logic
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On the Diversity and Co-Evolution of Technological Multiples
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Evolutionary Models of Innovation and the Meno Problem
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Creativity in Neurosurgical Publications
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A new method for analyzing scientific productivity
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Inventive productivity and the statistics of exceedances
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Multiple Discoveries in Science: A Test of the Communication Theory
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Productivity of American psychologists: Quantity versus quality.
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On the relation between productivity and impact
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Power laws of research output. Evidence for journals of economics
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Psychology of the Scientist: XI. Lotka's Law and Research Visibility
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Scientific production: A statistical analysis of authors in physics, 1800-1900
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The Reliability of Variables Measured as the Number of Events in an Interval of Time
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Cinema composers: Career trajectories for creative productivity in film music.
Simonton, D. K. (2007) · Psychology of Aesthetics Creativity and the Arts · doi:10.1037/1931-3896.1.3.160 · Cited by 28 · see citing works
Self-citationComputer stimulated associations
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Where guesses come from: Evolutionary epistemology and the anomaly of guided variation
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Multiple discovery: Some Monte Carlo simulations and Gedanken experiments
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Self-citationTochastic models of multiple discovery
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Self-citationToward a Quantitative Theory of Intellectual Discovery (Especially in Physics).
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Darwin as Straw Man: Dasgupta's (2004) Evaluation of Creativity as a Darwinian Process
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Self-citationPersonality characteristics of cartoonists
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Scientific Creativity as a Combinatorial Process: The Chance Baseline
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Self-citationExploring the Creation of Picasso'sGuernica: Composition Studies, Chance, Metaphors, and Expertise
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Rethinking the size of scientific specialties: correcting Price’s estimate
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The structure of creative cognition in the human brain
Jung, R. E. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00330 · Cited by 391 · see citing works
Homogenization Effects of Large Language Models on Human Creative Ideation
Anderson, B. R., Shah, J. H., & Kreminski, M. (2024) · Creativity and Cognition · doi:10.1145/3635636.3656204 · Cited by 188 · see citing works
Frontal lobe neurology and the creative mind
de Souza, L. C., Guimarães, H. C., Teixeira, A. L., Caramelli, P., Levy, R., Dubois, B., & Volle, E. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00761 · Cited by 86 · see citing works
An evolutionary process without variation and selection
Gabora, L., & Steel, M. (2021) · Journal of The Royal Society Interface · doi:10.1098/rsif.2021.0334 · Cited by 23 · see citing works
- Authors
- Simonton, D. K.
- Affiliations
- University of California, Davis (US)
- Corresponding author
- Simonton, Dean Keith
- ORCID
- Simonton, Dean Keith
- Venue
- Physics of Life Reviews
- Publisher
- Elsevier BV
- Published
- 2010-06
- Volume
- 7
- Issue
- 2
- Pages
- 156-179
- ISSN
- 1571-0645 (ISSN-L)
- OpenAlex
- W1990277796
- Cited by
- 261
- References
- 202
- Citations by year
- 2026: 8 · 2025: 12 · 2024: 15 · 2023: 18 · 2022: 18 · 2021: 24 · 2020: 28 · 2019: 20 · 2018: 23 · 2017: 13 · 2016: 17 · 2015: 12 · 2014: 15 · 2013: 18 · 2012: 12
- FWCI
- 15.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Physics of Life Reviews (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Creativity in Education and Neuroscience
- Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
- Life Sciences › Neuroscience › Cognitive Neuroscience › Cognitive Science and Education Research
- Keywords
- creative thinking, combinatorial models, disciplinary context, disciplinary communication, creativity development, social context of creativity
- MeSH terms
- Animals, Brain, Cognition, Creativity, Humans, Memory, Models, Neurological, Thinking
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