Abstract
There have been a range of coding schemes to code story structure. However, few of these coding schemes map directly to expressive formal models of story that also characterize character beliefs or the complexities that arise when mistaken beliefs lead to action failure. We describe HeadCode, a coding scheme motivated by recent work in plan-based story generation.
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Cardona-Rivera, R.E., Cassell, B.A., Ware, S.G., Young, R.M.: Indexter: a computational model of the event-indexing situation model for characterizing narratives. In: Proceedings of the 3rd Workshop on Computational Models of Narrative, pp. 34–43 (2012)
Elson, D.K., McKeown, K.R.: A platform for symbolically encoding human narratives. In: AAAI Fall Symposium: Intelligent Narrative Technologies, pp. 29–36 (2007)
Fikes, R., Nilsson, N.: Strips: a new approach to the application of theorem proving to problem solving. In: Allen, J., Hendler, J., Tate, A. (eds.) Readings in Planning. Morgan Kaufmann, Burlington (1990)
Gerrig, R.: Experiencing Narrative Worlds: On the Psychological Activities of Reading. Yale University Press, New Haven (1993)
Harmon, S.: Narrative encoding for computational reasoning and adaptation. Ph.D. thesis, UC Santa Cruz (2017)
Josselson, R.: The present of the past: dialogues with memory over time. J. Pers. 77(3), 647–668 (2009)
Korobov, N.: ‘he’s got no game’: young men’s stories about failed romantic and sexual experiences. J. Gend. Stud. 18(2), 99–114 (2009)
Lilgendahl, J.P., McLean, K.C., Mansfield, C.D.: When is meaning making unhealthy for the self? the roles of neuroticism, implicit theories, and memory telling in trauma and transgression memories. Memory 21(1), 79–96 (2013)
Liu, H., Lieberman, H.: Metafor: visualizing stories as code. In: Proceedings of the 10th international conference on Intelligent user interfaces, pp. 305–307. ACM (2005)
McAdams, D.P., McLean, K.C.: Narrative identity. Curr. Dir. Psychol. Sci. 22(3), 233–238 (2013)
Niehaus, J., Young, R.M.: Cognitive models of discourse comprehension for narrative generation. Literary Linguistic Comput. 29(4), 561–582 (2014)
Pasupathi, M., Rich, B.: Inattentive listening undermines self-verification in personal storytelling. J. Pers. 73(4), 1051–1086 (2005)
Schachter, E.P.: Identity configurations: a new perspective on identity formation in contemporary society. J. Pers. 72(1), 167–200 (2004)
Stern, L., Kirmayer, L.J.: Knowledge structures in illness narratives: development and reliability of a coding scheme. Transcult. Psychiatry 41(1), 130–142 (2004). https://doi.org/10.1177/1363461504041358. pMID: 15171211
Thorne, B., Young, R.M.: Generating stories that include failed actions by modeling false character beliefs. In: Working Notes of the AIIDE Workshop on Intelligent Narrative Technologies (2017)
Young, R.: Sketching a generative model of intention management for characters in stories: adding intention management to a belief-driven story planning algorithms. In: Working Notes of the AIIDE Workshop on Intelligent Narrative Technologies (2017)
Zwaan, R.A., Langston, M.C., Graesser, A.C.: The construction of situation models in narrative comprehension: an event-indexing model. Psychol. Sci. 6(5), 292–297 (1995)
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Sanghrajka, R., Young, R.M. (2019). A Knowledge Representation for Planning-Based Story Generation Applied to the Manual and Automatic Encoding of Plot. In: Cardona-Rivera, R., Sullivan, A., Young, R. (eds) Interactive Storytelling. ICIDS 2019. Lecture Notes in Computer Science(), vol 11869. Springer, Cham. https://doi.org/10.1007/978-3-030-33894-7_31
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