Abstract
The central notion of conflict in drama is well-acknowledged but not properly formalized. Computational models of conflict tend to target one specific type of conflict and consequently lose the global point of view on the story. Using a model of dramatic structure, this article specifies a number of conflict types within a unified model and proposes an algorithm to automatically extract all conflicts within a narrative structure. The algorithm is then tested on a storyworld that shows as many as 31 coexisting conflicts. Finally, a cluster analysis on these conflicts is performed, showing that in the considered case, conflicts can be reduced to three main “conflict groups.”
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Notes
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Our translation.
- 2.
Each relation needs to connect to nodes of the type specified for this type of relation.
- 3.
The symmetric difference between two sets is the union of the two sets, without the intersection.
References
Barber, H., Kudenko, D.: Dynamic generation of dilemma-based interactive narratives. In: Proceedings of Third Conference on Artificial Intelligence and Interactive Digital Entertainment – AIIDE, pp. 2–7. AAAI Press, Menlo Park (2007)
Battaglino, C., Damiano, R., Torino, U.: A character model with moral emotions: preliminary evaluation. In: Finlayson, M.A., Meister, J.C., Bruneau, E.G. (eds.) 5th Workshop on Computational Models of Narrative (CMN 2014), pp. 24–41. OASICS (2014)
Benabbou, A., Lourdeaux, D., Lenne, D.: Dynamic generation of dilemmas in virtual learning environments for non-technical skills training. In: Wang, Y., Howard, N., Widrow, B., Plataniotis, Y., Zadeh, L.A. (eds.) IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), pp. 231–234. IEEE (2016)
Cavazza, M., Charles, F., Mead, S.J.: Generation of humorous situations in cartoons through plan-based formalisations. In: Nijholt, A., Stock, O., Dix, A., Morkes, J. (eds.) ACM CHI-2003 Workshop: Humor Modeling in the Interface. University of Twente, Twente (2003)
Egri, L.: The Art of Dramatic Writing. Simon & Shuster, New York (1946)
Field, S.: Screenplay – The Foundations of Screenwriting. Dell Publishing, New York (1984)
Greimas, A.J.: Sémantique structurale. Presses universitaires de France, Paris (1966)
Harmon, S.: An expressive dilemma generation model for players and artificial agents. In: The Twelfth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-2016), pp. 176–182 (2016)
Lavandier, Y.: La dramaturgie. Le clown et l’enfant, Cergy, France (1997)
Lévi-Strauss, C.: Anthropologie Structurale. Plon, Paris (1958)
Mateas, M., Stern, A.: Façade. http://games.softpedia.com/get/Freeware-Games/Facade.shtml
McKee, R.: Story: Substance, Structure, Style, and the Principles of Screenwriting. Harper Collins, New York (1997)
Nichols, B.: Ideology and the image. Indiana University Press, Bloomington (1981)
Polti, G.: Les trente-six situations dramatiques. Mercure de France, Paris (1903)
Saillenfest, A.: Modélisation Cognitive de la Pertinence Narrative en vue de l’Évaluation et de la Génération de Récits. Télécom ParisTech (2015)
Seger, L.: Making a Good Script Great. Samuel French Trade, Hollywood (1989)
Souriau, E.: Les deux cent mille Situations dramatiques. Flammarion, Paris (1950)
Szilas, N.: A computational model of an intelligent narrator for interactive narratives. Appl. Artif. Intell. 21(8), 753–801 (2007)
Szilas, N.: Modeling and representing dramatic situations as paradoxical structures. Digit. Scholarsh. Humanit. 32, 2 (2017)
Szilas, N.: Structural Analysis of the Aesop’s Fables. http://tecfalabs.unige.ch/mediawiki-narrative/index.php/Aesop’s_Fables
Szilas, N., Estupiñán, S., Richle, U.: Qualifying and quantifying interestingness in dramatic situations. In: Nack, F., Gordon, A.S. (eds.) ICIDS 2016. LNCS, vol. 10045, pp. 336–347. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-48279-8_30
Truby, J.: Anatomy of Story. Faber and Faber, New York (2007)
Vale, E.: The Technique of Screenplay Writing. Grosset & Dunlap, New York (1973)
Ware, S.G., Young, R.M.: CPOCL: a narrative planner supporting conflict. In: Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 97–102. AAAI Press, Palo Alto (2011)
Nothing For Dinner. http://nothingfordinner.org
Acknowledgements
This research has been supported by the Swiss National Science Foundation under grant No. 159605 (Fine-grained Evaluation of the Interactive Narrative Experience).
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Szilas, N., Estupiñán, S., Richle, U. (2018). Automatic Detection of Conflicts in Complex Narrative Structures. In: Rouse, R., Koenitz, H., Haahr, M. (eds) Interactive Storytelling. ICIDS 2018. Lecture Notes in Computer Science(), vol 11318. Springer, Cham. https://doi.org/10.1007/978-3-030-04028-4_49
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