Narratives as a Fundamental Component of Consciousness

Authors Sandra L. Vaughan, Robert F. Mills, Michael R. Grimaila, Gilbert L. Peterson, Steven K. Rogers

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Sandra L. Vaughan
Robert F. Mills
Michael R. Grimaila
Gilbert L. Peterson
Steven K. Rogers

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Sandra L. Vaughan, Robert F. Mills, Michael R. Grimaila, Gilbert L. Peterson, and Steven K. Rogers. Narratives as a Fundamental Component of Consciousness. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 246-250, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)


In this paper, we propose a conceptual architecture that models human (spatially-temporally-modally) cohesive narrative development using a computer representation of quale properties. Qualia are proposed to be the fundamental "cognitive" components humans use to generate cohesive narratives. The engineering approach is based on cognitively inspired technologies and incorporates the novel concept of quale representation for computation of primitive cognitive components of narrative. The ultimate objective of this research is to develop an architecture that emulates the human ability to generate cohesive narratives with incomplete or perturbated information.
  • cognitive simulation
  • computational model
  • qualia


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  1. Alok Baikadi and Rogelio E. Cardona-Rivera. Towards finding the fundamental unit of narrative: A proposal for the narreme. In The Third Workshop on Computational Models of Narrative, pages 44-46, 2012. Google Scholar
  2. Moshe Bar and Maital Neta. The proactive brain: Using rudimentary information to make predictive judgments. Journal of Consumer Behaviour, 7(4-5):319-330, 2008. Google Scholar
  3. Christopher Williams Cowell. Minds, Machines and Qualia: A Theory of Consciousness. PhD thesis, University of California, 2001. Google Scholar
  4. Othalia Larue, Pierre Poirier, and Roger Nkambou. A cognitive architecture based on cognitive/neurological dual-system theories, pages 288-299. Brain Informatics. Springer, 2012. Google Scholar
  5. Othalia Larue, Pierre Poirier, and Roger Nkambou. A multi scale cognitive architecture to account for the adaptive and reflective nature of behaviour. In Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on, volume 2, pages 409-416. IEEE, 2012. Google Scholar
  6. Hugo Liu and Push Singh. Conceptnet—a practical commonsense reasoning tool-kit. BT technology journal, 22(4):211-226, 2004. Google Scholar
  7. Steven K. Rogers, Matthew Kabrisky, Kenneth W. Bauer, and Mark E. Oxley. Computing machinery and intelligence amplification. Computational Intelligence, The Experts Speak (Chapter 3), 2003. Google Scholar
  8. Steven K. Rogers, Charles Sadowski, Kenneth W. Bauer, Mark E. Oxley, Matthew Kabrisky, Adam Rogers, and Stephen D. Mott. The life and death of atr/sensor fusion and the hope for resurrection. Automatic Target Recognition XVIII, 6967, 2008. Google Scholar
  9. Timothy J. Ross. Fuzzy logic with engineering applications. John Wiley &Sons, 3rd edition, 2010. Google Scholar
  10. Roger C. Schank. Dynamic memory: A theory of learning in people and computers. Cambridge: Cambridge University Press, 1982. Google Scholar
  11. Robert Speer and Catherine Havasi. Representing general relational knowledge in conceptnet 5. In Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12), pages 23-25. European Language Resources Association (ELRA), 2012. Google Scholar
  12. Keith E. Stanovich. What intelligence tests miss: The psychology of rational thought. Yale University Press, 2009. Google Scholar
  13. Keith E. Stanovich and Jonathan St. B. T. Evans. Dual-process theories of higher cognition advancing the debate. Perspectives on Psychological Science May 2013 vol. 8 no. 3 223-241, 8(3):223-241, 2013. Google Scholar
  14. Ian Watson. Applying case-based reasoning: techniques for enterprise systems. Morgan Kaufmann Publishers Inc., 1998. Google Scholar
  15. Ian Watson. Case-based reasoning is a methodology not a technology. Knowledge-Based Systems, 12(5):303-308, 1999. Google Scholar
  16. Lotfi A Zadeh. Computing with words: Principal concepts and ideas. Springer Publishing Company, Incorporated, 2012. Google Scholar
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