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4 - The Neural Basis and Evolution of Divergent and Convergent Thought

from Part I - Fundamental Concepts

Published online by Cambridge University Press:  19 January 2018

Rex E. Jung
Affiliation:
University of New Mexico
Oshin Vartanian
Affiliation:
University of Toronto
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Publisher: Cambridge University Press
Print publication year: 2018

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References

Aerts, D., Gabora, L., & Sozzo, S. (2013). Concepts and their dynamics: A quantum-theoretical modeling of human thought. Topics in Cognitive Science, 5, 737772.CrossRefGoogle Scholar
Armen, H. (2015). MetaCube: Using tangible interactions to shift between divergent & convergent thinking. In Proceedings of TEI. Stanford, CA: Association for Computing Machinery (ACM) Publications.Google Scholar
Bell, S., & Gabora, L. (2016). A music-generating system based on network theory. In Proceedings of the 7th International Conference on Computational Creativity. Palo Alto, CA: Association for the Advancement of Artificial Intelligence (AAAI) Press.Google Scholar
Biggs, J. B., Fitzgerald, D., & Atkinson, S. M. (1971). Convergent and divergent abilities in children and teachers’ ratings of competence and certain classroom behaviors. British Journal of Educational Psychology, 41, 277286.CrossRefGoogle Scholar
Carson, S., Peterson, J. B., & Higgins, D. M. (2003). Decreased latent inhibition is associated with increased creative achievement in high-functioning individuals. Journal of Personality and Social Psychology, 85, 499506.CrossRefGoogle ScholarPubMed
Chrusch, C., & Gabora, L. (2014). A tentative role for FOXP2 in the evolution of dual processing modes and generative abilities. In Bello, P., Guarini, M., McShane, M., & Scassellati, B. (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (pp. 499504). Austin, TX: Cognitive Science Society.Google Scholar
DiPaola, S., & Gabora, L. (2009). Incorporating characteristics of human creativity into an evolutionary art algorithm. Genetic Programming and Evolvable Machines, 10, 97110.CrossRefGoogle Scholar
Ellamil, M. Dobson, C. Beeman, M., & Christoff, K. (2012). Evaluative and generative modes of thought during the creative process. NeuroImage, 59, 17831794.CrossRefGoogle ScholarPubMed
Evans, J. St. B. (2003). In two minds: Dual process accounts of reasoning. Trends in Cognitive Sciences, 7, 454–59.CrossRefGoogle ScholarPubMed
Gabora, L. (2001). Cognitive mechanisms underlying the origin and evolution of culture. Doctoral dissertation, Free University of Brussels.Google Scholar
Gabora, L. (2003). Contextual focus: A cognitive explanation for the cultural transition of the Middle/Upper Paleolithic. In Proceedings of the 25th annual meeting of the Cognitive Science Society (pp. 432437). Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
Gabora, L. (2010). Revenge of the ‘neurds’: Characterizing creative thought in terms of the structure and dynamics of human memory. Creativity Research Journal, 22, 113.CrossRefGoogle Scholar
Gabora, L. (2013). An evolutionary framework for culture: Selectionism versus communal exchange. Physics of Life Reviews, 10, 117145.CrossRefGoogle ScholarPubMed
Gabora, L. (2014). Physical light as a metaphor for inner light. Aisthesis, 7, 4361.Google Scholar
Gabora, L. (2015). LIVEIA: A light-based immersive visualization environment for imaginative actualization: A new technology for psychological understanding. In Latifi, S. (Ed.), Proceedings of the 12th International Conference on Information Technology: New Generations (pp. 686691). Washington, DC: IEEE Conference Publishing Services.Google Scholar
Gabora, L. (2017). Honing theory: A complex systems framework for creativity. Nonlinear Dynamics, Psychology, and Life Sciences, 21(1), 3588.Google ScholarPubMed
Gabora, L., & Aerts, D. (2002). Contextualizing concepts using a mathematical generalization of the quantum formalism. Journal of Experimental and Theoretical Artificial Intelligence, 14(4), 327358.CrossRefGoogle Scholar
Gabora, L., & Aerts, D. (2009). A model of the emergence and evolution of integrated worldviews. Journal of Mathematical Psychology, 53, 434451.CrossRefGoogle Scholar
Gabora, L., & Carbert, N. (2015). A study and preliminary model of cross-domain influences on creativity. In Dale, R., Jennings, C., Maglio, P., Matlock, T., Noelle, D., Warlaumont, A., & Yashimi, J. (Eds.), Proceedings of the 37th annual meeting of the Cognitive Science Society (pp. 758763). Austin, TX: Cognitive Science Society.Google Scholar
Gabora, L., Chia, W., & Firouzi, H. (2013). A computational model of two cognitive transitions underlying cultural evolution. In Knauff, M., Pauen, M., Sebanz, N., & Wachsmuth, I. (Eds.), Proceedings of the 35th Annual Meeting of the Cognitive Science Society (pp. 23442349). Austin, TX: Cognitive Science Society.Google Scholar
Gabora, L., & Kaufman, S. (2010). Evolutionary perspectives on creativity. In Kaufman, J. C., & Sternberg, R. J. (Eds.), The Cambridge handbook of creativity (pp. 279300). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Gabora, L., & Kitto, K. (2013). Concept combination and the origins of complex cognition. In Swan, E. (Ed.), Origins of mind, Biosemiotics series, Vol. 8 (pp. 361382). Berlin: Springer.CrossRefGoogle Scholar
Gabora, L., & Ranjan, A. (2013). How insight emerges in distributed, content-addressable memory. In Vartanian, O., Bristol, A. S., & Kaufman, J. C. (Eds.), The neuroscience of creativity (pp. 1943). Cambridge, MA: MIT Press.CrossRefGoogle Scholar
Gabora, L., & Steel, C. (in press). Autocatalytic networks in cognition and the origin of culture. Journal of Theoretical Biology.Google Scholar
Guastello, S. J. (1998). Creative problem solving at the edge of chaos. Journal of Creative Behavior, 32, 3857.CrossRefGoogle Scholar
Guilford, J. P. (1950). Creativity. American Psychologist, 5, 444454.CrossRefGoogle ScholarPubMed
Hebb, D. (1949). The organization of behavior. New York, NY: Wiley.Google Scholar
Hirsh, J. B., Mar, R. A., & Peterson, J. B. (2012). Psychological entropy: A framework for understanding uncertainty-related anxiety. Psychological Review, 119, 304320.CrossRefGoogle ScholarPubMed
Jung-Beeman, M. (2005). Bilateral brain processes for comprehending natural language. Trends in Cognitive Sciences, 9, 512518.CrossRefGoogle ScholarPubMed
Kounios, J., & Beeman, M. (2009). The aha! moment: The cognitive neuroscience of insight. Psychological Science, 18, 210216.Google Scholar
Kounios, J., & Beeman, M. (2014). The cognitive neuroscience of insight. Annual Review of Psychology, 65, 7193.CrossRefGoogle ScholarPubMed
Kumaran, D., & McClelland, J. (2012). Generalization through the recurrent interaction of episodic memories: A model of the hippocampal system. Psychological Review, 119, 573616.CrossRefGoogle Scholar
McCaig, G., DiPaola, S., & Gabora, L. (2016). Deep convolutional networks as models of generalization and blending within visual creativity. In Proceedings of the 7th International Conference on Computational Creativity. Palo Alto, CA: Association for the Advancement of Artificial Intelligence (AAAI) Press.Google Scholar
Mithen, S. (1998). Creativity in human evolution and prehistory. New York, NY: Routledge.Google Scholar
Onarheim, B., & Friis-Olivarius, M. (2013). Applying the neuroscience of creativity to creativity training. Frontiers in Human Neuroscience, 7, 656. http://doi.org/10.3389/fnhum.2013.00656CrossRefGoogle ScholarPubMed
Penn, D., Holyoak, K., & Povinelli, D. (2008). Darwin’s mistake: Explaining the discontinuity between human and nonhuman minds. Behavioral and Brain Sciences, 31, 109178.CrossRefGoogle ScholarPubMed
Pringle, A. J. (2011). Shifting between modes of thought: A mechanism underlying creative performance? In Proceedings of the 8th ACM conference on Creativity and cognition (pp. 467468). New York, NY: ACM.CrossRefGoogle Scholar
Pringle, A., & Sowden, P. T. (2016). The Mode Shifting Index (MSI): A new measure of the creative thinking skill of shifting between associative and analytic thinking. Thinking Skills and Creativity. DOI:10.1016/j.tsc.2016.10.010Google Scholar
Pringle, A., Sowden, P. T., Deeley, C., & Sharma, S. (in press). Shifting between modes of thought: A domain-general creative thinking skill? KIE Conference Publications. Reprinted in In Reisman, F. K. (Ed.) Creativity in arts, science and technology.Google Scholar
Riddell, W., Constans, E., Courtney, J., Dahm, K., Harvey, R., Jansson, P., … von Lockette, P. (2007). Lessons learned from teaching project based learning communication and design courses. In Proceedings of the 2007 Middle Atlantic Section Fall Conference of the American Society for Engineering Education. Washington, DC: American Society for Engineering Education.Google Scholar
Runco, M. (2010). Divergent thinking, creativity, and ideation. In Kaufman, J. C. & Sternberg, R. J. (Eds.), The Cambridge handbook of creativity (pp. 414446). Cambridge: Cambridge University Press.Google Scholar
Sowden, P., Pringle, A., & Gabora, L. (2015). The shifting sands of creative thinking: Connections to dual process theory. Thinking & Reasoning, 21, 4060.CrossRefGoogle Scholar
Veloz, T., Gabora, L., Eyjolfson, M., & Aerts, D. (2011). Toward a formal model of the shifting relationship between concepts and contexts in different modes of thought. In Song, D., Melucci, M., Frommholz, I., Zhang, P., Wang, L., & Arafat, S. (Eds.), Lecture notes in computer science 7052: Proceedings of the Fifth International Symposium on Quantum Interaction (pp. 2534). Berlin: Springer.Google Scholar
Yoruk, S., & Runco, M. A. (2014). The neuroscience of divergent thinking. Activitas Nervosa Superior, 56, 116.Google Scholar

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