Encyclopedia of Creativity, Invention, Innovation and Entrepreneurship

2013 Edition
| Editors: Elias G. Carayannis

Creativity Machine® Paradigm

  • Stephen ThalerEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-3858-8_396



Although the definition of the term “creativity” widely varies, recent developments in the field of artificial neural networks (ANNs) lend a highly comprehensive model to all accounts of this highly prized cognitive process. From this bottom-up, computational perspective, seminal idea formation results from a noise-driven brainstorming session between at least two neural assemblies. In effect, ongoing disturbances both to and within such nets serve to drive a sequence of activation patterns in a process tantamount to stream of consciousness. At sufficiently intense disturbance levels, memories and their interrelationships degrade into false memories or confabulations, any of which could be of potential utility or appeal. If another ANN is provided to make this value judgment, we form an...

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  1. Boden MA. The creative mind: myths and mechanisms. New York: Routledge; 2004.Google Scholar
  2. Koestler A. The act of creation. New York: Penguin; 1964.Google Scholar
  3. Patrick MC, Thaler SL, Stevenson-Chavis K. Demonstration of self-training autonomous neural networks in space vehicle docking simulations, 2006, NASA-MSFC. Available at http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20070018815_2007018767.pdf.
  4. Plotkin R. The genie in the machine. Stanford: Stanford University Press; 2009.Google Scholar
  5. Rowe J, Partridge D. Creativity: a survey of AI approaches. Artif Intell Rev. 1993;7(1):43–70.Google Scholar
  6. Smith SM, Blakenship SE. Incubation and the persistence of fixation in problem solving. Am J Psychol. 1991;104(1):61–87.Google Scholar
  7. Thaler SL. Death of a gedanken creature. J Near Death Stud. 1995a;13(3). Spring 1995.Google Scholar
  8. Thaler SL. “Virtual input” phenomena within the death of a simple pattern associator. Neural Networks. 1995b;8(1):55–65.Google Scholar
  9. Thaler SL. Predicting ultra-hard binary compounds via cascaded auto- and hetero- associative neural networks. J Alloys Compd. 1998;279(1998):47–59.Google Scholar
  10. Thaler SL. A proposed symbolism for network-implemented discovery processes. Proceedings of the World Congress on Neural Networks; 1996; Mahwah, NJ: Lawrence Erlbaum & Associates; 1996. p. 1265–68.Google Scholar
  11. Thaler SL. A quantitative model of seminal cognition: the creativity machine paradigm. Mind II Conference, Dublin, Ireland, 1997. Available from http://imagination-engines.com/iei_seminal_cognition.htm

Copyright information

© Springer Science+Business Media LLC 2013

Authors and Affiliations

  1. 1.Imagination Engines, Inc.St. CharlesUSA