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Accounting for Creativity Within a Psychologically Realistic Cognitive Architecture

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Computational Creativity Research: Towards Creative Machines

Part of the book series: Atlantis Thinking Machines ((ATLANTISTM,volume 7))

Abstract

Creativity research, computational or otherwise, can benefit from a detailed understanding of human creative problem solving. The psychological processes of human creative problem solving have been tackled using computational modeling and simulation based on the CLARION cognitive architecture. CLARION, in general, attempts to provide a unified explanation of a wide range of psychological phenomena using five basic principles. By using these CLARION principles, the Explicit-Implicit Interaction (EII) theory of creative problem solving was derived, which provides a unified framework for understanding creative problem solving. A list of phenomena that can be accounted for by the EII theory and simulated using the CLARION cognitive architecture is presented. This work represents a step in the development of unified process-based theories of creativity encompassing incubation, insight, and various other related phenomena. Beyond EII, the roles of motivation, personality, emotion, and social interaction in creativity may also be explored using CLARION.

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References

  1. Akinola, M., Mendes, W.B.: The dark side of creativity: biological vulnerability and negative emotions lead to greater artistic creativity. Pers. Soc. Psychol. Bull. 34(12), 1677–1686 (2008)

    Article  Google Scholar 

  2. Amabile, T.M., Barsade, S.G., Mueller, J.S., Staw, B.M.: Affect and creativity at work. Adm. Sci. Q. 50(3), 367–403 (2005)

    Article  Google Scholar 

  3. Ashton-James, C.E., Chartrand, T.L.: Social cues for creativity: the impact of behavioral mimicry on convergent and divergent thinking. J. Exp. Soc. Psychol. 45(4), 1036–1040 (2009)

    Article  Google Scholar 

  4. Bowden, E.M., Jung-Beeman, M., Fleck, J., Kounios, J.: New approaches to demystifying insight. Trends Cognit. Sci. 9, 322–328 (2005)

    Article  Google Scholar 

  5. Bowers, K.S., Regehr, G., Balthazard, C., Parker, K.: Intuition in the context of discovery. Cognit. Psychol. 22, 72–110 (1990)

    Article  Google Scholar 

  6. Byron, K., Khazanchi, S.: A meta-analytic investigation of the relationship of state and trait anxiety to performance on figural and verbal creative tasks. Pers. Soc. Psychol. Bull. 37(2), 269–283 (2011)

    Article  Google Scholar 

  7. Costermans, J., Lories, G., Ansay, C.: Confidence level and feeling of knowing in question answering: the weight of inferential processes. J. Exp. Psychol. Learn. Mem. Cognit. 18, 142–150 (1992)

    Article  Google Scholar 

  8. Duch, W.: Computational creativity. In: Proceedings of the International Joint Conference on Neural Networks, pp. 435–442. IEEE Press, Vancouver (2006)

    Google Scholar 

  9. Durso, F.T., Rea, C.B., Dayton, T.: Graph-theoretic confirmation of restructuring during insight. Psychol. Sci. 5, 94–98 (1994)

    Article  Google Scholar 

  10. Evans, J.B.T.: The Heuristic-analytic theory of reasoning: extension and evaluation. Psychon. Bull. Rev. 13, 378–395 (2006)

    Article  Google Scholar 

  11. Feist, G.F.: A meta-analysis of personality in scientific and artistic creativity. Pers. Soc. Psychol. Rev. 2, 290–309 (1998)

    Article  Google Scholar 

  12. Feist, G.J., Barron, F.: Predicting creativity from early to late adulthood: intellect, potential, and personality. J. Res. Pers. 37, 62–88 (2003)

    Article  Google Scholar 

  13. Gabora, L.: Revenge of the ‘neurds’: characterizing creative thought in terms of the structure and dynamics of human memory. Creat. Res. J. 22(1), 1–13 (2010)

    Article  Google Scholar 

  14. Grant, A.M., Berry, J.W.: The necessity of others is the mother of invention: Intrinsic and prosocial motivations, perspective taking, and creativity. Acad. Manag. J. 54(1), 73–96 (2011)

    Article  Google Scholar 

  15. Helie, S., Sun, R.: Incubation, insight, and creative problem solving: a unified theory and a connectionist model. Psychol. Rev. 117, 994–1024 (2010)

    Article  Google Scholar 

  16. Johnson, T.R., Krems, J.F.: Use of current explanations in multicausal abductive reasoning. Cognit. Sci. 25, 903–939 (2001)

    Article  Google Scholar 

  17. Langley, P., Laird, J.E., Rogers, S.: Cognitive architectures: research issues and challenges. Cognit. Syst. Res. 10, 141–160 (2009)

    Article  Google Scholar 

  18. Lubart, T.I.: Models of the creative process: past, present and future. Creat. Res. J. 13, 295–308 (2001)

    Article  Google Scholar 

  19. McCrae, R.R., Costa Jr, P.T.: NEO Inventories: Professional Manual. Psychological Assessment Resources Inc, Lutz, FL (2010)

    Google Scholar 

  20. Mednick, S.A.: The associative basis of the creative process. Psychol. Rev. 69, 220–232 (1962)

    Article  Google Scholar 

  21. Naveh, I., Sun, R.: A cognitively based simulation of academic science. Comput. Math. Organ. Theor. 12(4), 313–337 (2006)

    Article  MATH  Google Scholar 

  22. Pols, A.J.K.: Insight problem solving. Ph.D. thesis, Department of Psychology, University of Utrecht, Netherlands (2002)

    Google Scholar 

  23. Rips, L.J.: The Psychology of Proof: Deductive Reasoning in Human Thinking. MIT Press, Cambridge, MA (1994)

    MATH  Google Scholar 

  24. Smith, S.M., Dodds, R.A.: Incubation. In: Runco, M.A., Pritzker, S.R. (eds.) Encyclopedia of Creativity, pp. 39–43. Academic, San Diego, CA (1999)

    Google Scholar 

  25. Sun, R.: Robust reasoning: integrating rule-based and similarity-based reasoning. Artif. Intell. 75, 241–296 (1995)

    Article  Google Scholar 

  26. Sun, R.: Duality of the Mind. Lawrence Erlbaum Associates, Mahwah (2002)

    Google Scholar 

  27. Sun, R.: A tutorial on CLARION 5.0. Technical report, Cognitive Sciences Department, Rensselaer Polytechnic Institute, Troy (2003). http://www.cogsci.rpi.edu/~rsun/sun.tutorial.pdf

  28. Sun, R.: Desiderata for cognitive architectures. Philos. Psychol. 17, 341–373 (2004)

    Article  Google Scholar 

  29. Sun, R. (ed.): Cognition and Multi-Agent Interaction. Cambridge University Press, New York (2006)

    Google Scholar 

  30. Sun, R.: Motivational representations within a computational cognitive architecture. Cognit. Comput. 1(1), 91–103 (2009)

    Article  Google Scholar 

  31. Sun, R.: Anatomy of the Mind. Oxford University Press, New York (2014)

    Google Scholar 

  32. Sun, R., Merrill, E., Peterson, T.: From implicit skills to explicit knowledge: a bottom-up model of skill learning. Cognit. Sci. 25, 203–244 (2001)

    Article  Google Scholar 

  33. Sun, R., Slusarz, P., Terry, C.: The interaction of the explicit and the implicit in skill learning: a dual-process approach. Psychol. Rev. 112, 159–192 (2005)

    Article  Google Scholar 

  34. Sun, R., Wilson, N.: Motivational processes within the perception-action cycle. In: Cutsuridis, V., Hussain, A., Taylor, J.G. (eds.) Perception-Action Cycle: Models, Architectures and Hardware, pp. 449–472. Springer, Berlin (2011)

    Chapter  Google Scholar 

  35. Sun, R., Wilson, N.: A model of personality should be a cognitive architecture itself. Cognit. Syst. Res. 29–30(1–30), 2014 (2014)

    Google Scholar 

  36. Sun, R., Wilson, N.: Roles of implicit processes: instinct, intuition, and personality. Mind Soc. 13(1), 109–134 (2014)

    Article  Google Scholar 

  37. Tadmor, C.T., Satterstrom, P., Jang, S., Polzer, J.T.: Beyond individual creativity: the superadditive benefits of multicultural experience for collective creativity in culturally diverse teams. J. Cross-Cult. Psychol. 43, 384–392 (2012)

    Article  Google Scholar 

  38. Wallas, G.: The Art of Thought. Franklin Watts, New York (1926)

    Google Scholar 

  39. Wilson, N., Sun, R., Mathews, R.: Performance degradation under pressure. Neural Netw. 22, 502–508 (2009)

    Article  Google Scholar 

  40. Yaniv, I., Meyer, D.E.: Activation and metacognition of inaccessible stored information: potential bases for incubation effects in problem solving. J. Exp. Psychol. Learn. Mem. Cognit. 13, 187–205 (1987)

    Article  Google Scholar 

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Acknowledgments

This research was supported by (1) the ARI research grants DASW01-00-K-0012 and W74V8H-04-K-0002, and (2) the ONR research grants N00014-08-1-0068 and N00014-13-1-0342.

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Authors and Affiliations

  1. Department of Cognitive Sciences, Rensselaer Polytechnic Institute, Troy, NY, USA

    Ron Sun

  2. Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA

    Sebastien Helie

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  1. Ron Sun
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  2. Sebastien Helie
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Correspondence to Ron Sun .

Editor information

Editors and Affiliations

  1. Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany

    Tarek R. Besold

  2. IIIA-CSIC, Bellaterra (Barcelona), Spain

    Marco Schorlemmer

  3. CISA, School of Informatics, University of Edinburgh, Edinburgh, United Kingdom

    Alan Smaill

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Sun, R., Helie, S. (2015). Accounting for Creativity Within a Psychologically Realistic Cognitive Architecture. In: Besold, T., Schorlemmer, M., Smaill, A. (eds) Computational Creativity Research: Towards Creative Machines. Atlantis Thinking Machines, vol 7. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-085-0_8

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  • DOI: https://doi.org/10.2991/978-94-6239-085-0_8

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  • Publisher Name: Atlantis Press, Paris

  • Print ISBN: 978-94-6239-084-3

  • Online ISBN: 978-94-6239-085-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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