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The Need for Multi-Aspectual Representation of Narratives in Modelling their Creative Process

Authors Pablo Gervás, Carlos León

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Pablo Gervás
Carlos León

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Pablo Gervás and Carlos León. The Need for Multi-Aspectual Representation of Narratives in Modelling their Creative Process. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 61-76, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)
https://doi.org/10.4230/OASIcs.CMN.2014.61

Abstract

Existing approaches to narrative construction tend to apply basic engineering principles of system design which rely on identifying the most relevant feature of the domain for the problem at hand, and postulating an initial representation of the problem space organised around such a principal feature. Some features that have been favoured in the past include: causality, linear discourse, underlying structure, and character behavior. The present paper defends the need for simultaneous consideration of as many as possible of these aspects when attempting to model the process of creating narratives, together with some mechanism for distributing the weight of the decision processes across them. Humans faced with narrative construction may shift from views based on characters to views based on structure, then consider causality, and later also take into account the shape of discourse. This behavior can be related to the process of representational re-description of constraints as described in existing literature on cognitive models of the writing task. The paper discusses how existing computational models of narrative construction address this phenomenon, and argues for a computational model of narrative explicitly based on multiple aspects.
Keywords
  • narrative construction
  • creative process
  • conceptual representation of narrative

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References

  1. Aristotle. Poética, volume 8. Colección Biblioteca Románica Hispánica IV, 1974. Google Scholar
  2. R. S. Aylett, S. Louchart, J. Dias, A. Paiva, and M. Vala. Fearnot!: An experiment in emergent narrative. In Themis Panayiotopoulos, Jonathan Gratch, Ruth Aylett, Daniel Ballin, Patrick Olivier, and Thomas Rist, editors, Intelligent Virtual Agents, Lecture Notes in Computer Science, pages 305-316. Springer-Verlag, London, UK, UK, 2005. Google Scholar
  3. Byung-Chull Bae and R.Michael Young. A use of flashback and foreshadowing for surprise arousal in narrative using a plan-based approach. In Ulrike Spierling and Nicolas Szilas, editors, Interactive Storytelling, volume 5334 of Lecture Notes in Computer Science, pages 156-167. Springer Berlin Heidelberg, 2008. Google Scholar
  4. Paul Bailey. Searching for storiness: Story-generation from a reader’s perspective. In Proceedings of the AAAI Fall 99 Symposium on Narrative Intelligence, 1999. Google Scholar
  5. Floris Jurriaan Bex and Trevor J. M. Bench-Capon. Persuasive stories for multi-agent argumentation. In AAAI Fall Symposium: Computational Models of Narrative, volume FS-10-04 of AAAI Technical Report. AAAI, 2010. Google Scholar
  6. M. Boden. The creative mind. Weidenfeld and Nicholson, London, 1990. Google Scholar
  7. Gordon H. Bower, John B. Black, and Terrence J. Turner. Scripts in memory for text. Cognitive Psychology, 11:177-220, 1979. Google Scholar
  8. Selmer Bringsjord and David A. Ferrucci. Artificial Intelligence and Literary Creativity: Inside the Mind of BRUTUS, a Storytelling Machine. Lawrence Erlbaum Associates, 1999. Google Scholar
  9. J. Campbell, P. Cousineau, and S.L. Brown. The Hero’s Journey: Joseph Campbell on His Life and Work. Collected Works of Joseph Campbell. New World Library, 2003. Google Scholar
  10. Marc Cavazza, Fred Charles, and Steven J. Mead. Planning characters' behaviour in interactive storytelling. Journal of Visualization and Computer Animation, 13:121-131, 2002. Google Scholar
  11. Yun-Gyung Cheong and R.Michael Young. Narrative generation for suspense: Modeling and evaluation. In Ulrike Spierling and Nicolas Szilas, editors, Interactive Storytelling, volume 5334 of Lecture Notes in Computer Science, pages 144-155. Springer Berlin Heidelberg, 2008. Google Scholar
  12. B. N. Colby. A partial grammar of eskimo folktales. American Anthropologist, 75:645-662, 1973. Google Scholar
  13. N. J. Dehn. Computer Story- Writing: The Role of Reconstructive and Dynamic Memory. PhD thesis, University of Yale, New Haven, CT, USA., 1989. Google Scholar
  14. Natalie Dehn. Story generation after tale-spin. In In Proceedings of the International Joint Conference on Artificial Intelligence, pages 16-18, 1981. Google Scholar
  15. G. Freytag. Die Technik des Dramas. S. Hirzel, 1863. Google Scholar
  16. P. Gervás, B. Díaz-Agudo, F. Peinado, and R. Hervás. Story Plot Generation Based on CBR. Knowledge-Based Systems. Special Issue: AI-2004, 18:235-242, 2005. Google Scholar
  17. Pablo Gervás, Birte Lönneker-Rodman, Jan Christoph Meister, and Federico Peinado. Narrative models: Narratology meets artificial intelligence. In Roberto Basili and Alessandro Lenci, editors, International Conference on Language Resources and Evaluation. Satellite Workshop: Toward Computational Models of Literary Analysis, pages 44-51, Genova, Italy, 2006. Google Scholar
  18. A. C. Graesser, M. Singer, and T. Trabasso. Constructing inferences during narrative text comprehension. Psychological Review, 101:371-395, 1994. Google Scholar
  19. Randall W. Hill, Jr., All W. Hill, Jonathan Gratch, Stacy Marsella, Jeff Rickel, William Swartout, and David Traum. Virtual humans in the mission rehearsal exercise system. In KI Embodied Conversational Agents, 17:32-38, 2003. Google Scholar
  20. A. Karmiloff-Smith. Beyond Modularity: A Developmental Perspective on Cognitive Science. A Bradford book. A Bradford Book, 1995. Google Scholar
  21. Sheldon Klein, John F. Aeschliman, DavidF. Balsiger, Steven L. Converse, Claudine Court, Mark Foster, Robin Lao, John D. Oakley, and Joel Smith. Automatic novel writing: A status report. Technical Report 186, Computer Science Department, The University of Wisconsin, Madison, Wisconsin, December 1973. Google Scholar
  22. R. Raymond Lang. A declarative model for simple narratives. In Proceedings of the AAAI Fall Symposium on Narrative Intelligence, pages 134-141. AAAI Press, 1999. Google Scholar
  23. M. Lebowitz. Story-telling as planning and learning. In International Joint Conference on Artificial Intelligence, volume 1, 1983. Google Scholar
  24. M Lebowitz. Storytelling as Planning and Learning. Poetics, 14:483-502, 1985. Google Scholar
  25. M. Lebowitz. Storytelling and generalization. In In Annual Conference of the Cognitive Science Society, pages 100-109, Berkeley, California, 1987. Google Scholar
  26. Lee, M. A Model for Story Generation. Master’s thesis, University of Manchester, 1994. Google Scholar
  27. M. Mateas and A. Stern. Structuring content in the Façade interactive drama architecture. In Proceedings of AIIDE, pages 93-98, 2005. Google Scholar
  28. J. Meehan. The Metanovel: Writing Stories by Computer. PhD thesis, Yale University, 1976. Google Scholar
  29. James R. Meehan. Tale-spin, an interactive program that writes stories. In In Proceedings of the Fifth International Joint Conference on Artificial Intelligence, pages 91-98, 1977. Google Scholar
  30. J. Niehaus. Cognitive Models of Discourse Comprehension for Narrative Generation. BiblioBazaar, 2011. Google Scholar
  31. N. Okada and T. Endo. Story generation based on dynamics of the mind. Computational Intelligence, 8:123-160, 1992. Google Scholar
  32. B. O'Neill. A Computational Model of Suspense for the Augmentation of Intelligent Story Generation. PhD thesis, Georgia Institute of Technology, Atlanta, Georgia, USA., 2013. Google Scholar
  33. L. Pemberton. A modular approach to story generation. In 4th Conference of the European Chapter of the Association for Computational Linguistics, pages 217-224, 1989. Google Scholar
  34. R. Pérez y Pérez. MEXICA: A Computer Model of Creativity in Writing. PhD thesis, The University of Sussex, 1999. Google Scholar
  35. D. (David) Pizzi, M. O. (Marc) Cavazza, and J-L. (Jean-Luc) Lugrin. Extending character-based storytelling with awareness and feelings. In Proceedings of the international conference on autonomous agents. ACM, 2007. Google Scholar
  36. J. Porteus and M. Cavazza. Controlling narrative generation with planning trajectories. In Proceedings of the 2nd International Conference on Interactive Digital Storytelling, pages 234-245, 2009. Google Scholar
  37. Vladimir Propp. Morphology of the Folk Tale. Akademija, Leningrad, 1928. Google Scholar
  38. M. Riedl. Narrative Planning: Balancing Plot and Character. PhD thesis, Department of Computer Science, North Carolina State University, 2004. Google Scholar
  39. D. E. Rumelhart. Notes on a schema for stories. Representation and Understanding: Studies in Cognitive Science, pages 211-236, 1975. Google Scholar
  40. M. Sharples. An account of writing as creative design. The Science of Writing, 1996. Google Scholar
  41. M Sharples. How We Write. Routledge, 1999. Google Scholar
  42. M. Theune, E. Faas, A. Nijholt, and D. Heylen. The virtual storyteller: Story creation by intelligent agents. In Proceedings of the Technologies for Interactive Digital Storytelling and Entertainment, pages 204-215, 2003. Google Scholar
  43. P. W. Thorndyke. Cognitive structures in comprehension and memory of narrative discourse. Cognitive Psychology, 9(1):77-110, 1977. Google Scholar
  44. T. Trabasso, P. vand den Broek, and S.Y. Suh. Logical necessity and transitivity of causal relations in stories. Discourse Processes, 12:1-25, 1989. Google Scholar
  45. Scott Turner. MINSTREL: A Computer Model of Creativity and Storytelling. PhD thesis, University of California at Los Angeles, Los Angeles, CA, USA, 1992. Google Scholar
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