هانلین، مایکل و کاپلان، آندریاس (۱۴۰۲). «تاریخچه مختصری از هوش مصنوعی گذشته حال و آینده هوش مصنوعی». ترجمه امین حاجیوند؛ علی خوش منظر و صابر سیاری زهان. تمدن حقوقی. شماره ۱۸، ویژه نامه هوش مصنوعی، 74-90.
Aidarbekov, Aidiye & Ibraiymov, Almabek (2023). “Representation of Artificial Intelligence (AI) in Film and Media“. Хабаршы Журналистика сериясы, 4 (70), pp. 94-106.
Akimoto, T., & Ogata, T. (2012). “A Narratological Approach for Narrative Discourse: Implementation and Evaluation of the System based on Genette and Jauss”. In Proceedings of the Annual Meeting of the Cognitive Science Society, 34(34).
Akimoto, T., & Ogata, T. (2015a). “A Hierarchical Visualization Program for Computer-Generated Narratives”. In 2015 IIAI 4th International Congress on Advanced Applied Informatics.
Akimoto, T., & Ogata, T. (2015b). “Evaluation of a Narrative Discourse Generation System Based on the Concept of Norm and Deviation”. Journal of Robotics, Networking and Artificial Life, 2(1), 50.
Akimoto, T., & Ogata, T. (2015c). “Experimental Development Of A Focalization Mechanism in An Integrated Narrative Generation System”. Journal of Artificial Intelligence and Soft Computing Research, 5(3), 177.
Ammanabrolu, P., Tien, E., Cheung, W., Luo, Z., Ma, W., Martin, L. J., & Riedl, M. O. (2020). “Story Realization: Expanding Plot Events into Sentences”. Proceedings of the AAAI Conference on Artificial Intelligence, 34(05), 7375–7382.
Bae, B. C., & Young, R. M. (2008). “A Use of Flashback and Foreshadowing for Surprise Arousal in Narrative Using a Plan-Based Approach”. In U. Spierling & N. Szilas (Eds.), Lecture Notes in Computer Science. Interactive Storytelling (Vol. 5334, pp. 156–167). Springer Berlin Heidelberg.
Bae, B. C., Cheong, Y. G., & Young, R. M. (2011). “Automated story generation with multiple internal focalization”. In 2011 IEEE Conference on Computational Intelligence and Games (CIG'11).
Bahamon, J. C. (2016). “A Computational Model for The Portrayal of Personality Traits in Planning-Based Narrative Generation” [Doctoral dessertation]. North Carolina State University, United States -- North Carolina.
Baiheng, L., & Wen, Z. (2020). “Rethinking of Artificial Intelligence Storytelling of Digital Media”. In 2020 International Conference on Innovation Design and Digital Technology (ICIDDT), (pp. 112–115). IEEE.
Battad, Z. (2024). “Towards Generating Coherent Stories from Image Sequences: A Computational Approach Using Suspension of Disbelief” [Doctoral dessertation]. Rensselaer Polytechnic Institute, US, New York.
Berov, L. (2021). “From Narratology to Computational Story Composition and Back: An Exploratory Study in Generative Modeling” [Doctoral dessertation]. Universitat osnabruck, Osnabruck.
Blyler, Abigail P. & Seligman, Martin E. P. (2023). “Personal narrative and stream of consciousness: an AI approach”, The Journal of Positive Psychology, 19(4), 592-598.
Brahman, F. (2022). “Modeling Key Narrative Elements for Story Understanding and Generation” [Doctoral dessertation]. University of California, Santa Cruz, United States -- California.
Bremond, C. (1964). “Le message narrative”. Communications, 4(1), 4-32.
Callaway, C. B., & Lester, J. C. (2002). “Narrative prose generation”. Artificial Intelligence, 139(2), 213–252.
Cardona-Rivera, R., & Li, B. (2016). “PlotShot: Generating Discourse-Constrained Stories Around Photos”. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 12(1), 2–8.
Charles, F. & Cavazza. M. (2004). “AAMAS - Exploring the Scalability of Character-Based Storytelling”. In Autonomous Agents and Multiagent Systems, International Joint Conference (Vol. 3, pp. 872–879).
Charles, F., Mead, S. J., & Cavazza, M. (2002). “From computer games to interactive stories: Interactive storytelling”. Electronic Library, 20(2), 103–112.
Chatman, S. (1975). “Towards a Theory of Narrative”. New Literary History, 6(2), 295–318.
Chatman, S. B., & Chatman, S. (1980). Story and discourse: Narrative structure in fiction and film. Cornell university press.
Chatterjee, A. (2022). “Art in an age of artificial intelligence”. Frontiers in Psychology, 13, pp. 1-9.
Cheong, Y. G. (2007). “A computational model of narrative generation for suspense” [Doctoral dessertation]. North Carolina State University, United States -- North Carolina.
Christie, I., & van den Oever, A. (2018). “Screen Narrative in the Digital Era”. In I. Christie, A. van den Oever, & A. van der Oever (Eds.), Stories (pp. 11–24). Amsterdam University Press.
Da Silva, F., Furtado, A. L., Ciarlini, A., Pozzer, C. T., Feijó, B., & Lima, E. S. de (2011). “Information-gathering events in story plots”. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
Davenport, G. & Murtaugh M. (1997). “Automatist storyteller systems and the shifting sands of story”. IBM Systems Journal, 36(3), 446–456.
Davenport, I. (2016). Dialog Simulation. (US 201615258609 A). https://lens.org/136-478-518-421-286.
DeBuse, M. A. (2021). “Plot Extraction and the Visualization of Narrative Flow” [M. Sc]. Brigham Young University, United States -- Utah.
Diallo, S. Y., Lynch, C. J., Rechowicz, K. J., & Zacharewicz, G. (2018). “How to create empathy and understanding: narrative analytics in agent-based modeling”. In WSC '18: Proceedings of the 2018 Winter Simulation Conference (pp. 1286–1297). IEEE Press.
dos Santos, C. A., Bouchard, K., & Minetto Napoleão, B. (2024). “Automatic user story generation: a comprehensive systematic literature review”. International Journal of Data Science and Analytics, 1-24.
Eisenberg, J. D. (2018). “Automatic Extraction of Narrative Structure from Long Form Text” [Doctoral dessertation]. Florida International University, United States -- Florida.
Elson, D. K. (2012). “Modeling Narrative Discourse” [Doctoral dessertation]. Columbia University, United States -- New York.
Farhadi, A., Hejrati, M., Sadeghi, M. A., Young, P., Rashtchian, C., Hockenmaier, J., & Forsyth, D. (2021). “Every picture tells a story: Generating sentences from images”. In Computer Vision–ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part IV 11 (pp. 15-29). Springer Berlin Heidelberg.
Fludernik, M. (2022). “We-Narratives: Collective Storytelling in Contemporary Fiction”. Poetics Today, 43(2), 418-423.
Francis, M. (2019). Narrative Arc Story Engine. (US 201916370014 A).
Gagliano, P., Jimenez, D. C., Counter, N., & Clarke, L. A. (2022). Automated Narrative Production System And Script Production Method with Real-Time Interactive Characters. (US 202217861870 A).
Gervás, P. (2009). “Computational approaches to storytelling and creativity”. AI Magazine, 30(3), 49-49.
Gervás, P. (2024). “Storytelling systems: Progress towards generation informed by models of the reader”. Interdisciplinary Science Reviews, 49(2), 269-290.
Greene, S. (2012). “Generating narratives: A pattern language” (1520967) [M. S]. Florida Atlantic University, United States -- Florida.
Gulle, K. J., Ford, N., Ebel, P., Brokhausen, F., & Vogelsang, A. (2020). “Topic Modeling on User Stories using Word Mover's Distance”. In Institute of Electrical and Electronics Engineers Inc (pp. 52–60).
Harrell Jr, D. A. (2007). “Theory and technology for computational narrative: An approach to generative and interactive narrative with bases in algebraic semiotics and cognitive …” [Doctoral dessertation]. The University of California, San Diego.
Herman, D. (2001). “New Perspectives on Narrative Perspective: Book Review (Willie van Peer and Seymour Chatman, (Eds.) New Perspectives on Narrative Perspective.)”. Style, 35(3), 561-565.
Herman, D. (2008). “Narrative and the Minds of Others”. Style, 42(4), 504.
Stork, D. G., Bourached, A., Cann, G. H., & Griffiths, R. R. (Eds.) (2021). “Computational identification of significant actors in paintings through symbols and attributes”. arXiv preprint arXiv:2102.02732.
Hovy, E. H. (1993). “Automated discourse generation using discourse structure relations”. Artificial Intelligence, 63(1-2), 341–385.
Ikmal Shahbudin, M. S. (2024). “The Integration of Character Building in Novel Writing through AI”. International Journal for Multidisciplinary Research (IJFMR), 6(4).
Imabuchi, S., & Ogata, T. (2014). “Integrating the Event Generation Mechanism in the Propp-based Story Generation Mechanism into the Integrated Narrative Generation System”. Journal of Robotics, Networking and Artificial Life, 1(2), 164.
Jahn, M. (1996). “Windows of Focalization: Deconstructing and Reconstructing a Narratological Concept”. Style, 30, 241.
Kao, E. C. -C., & Soo, V. -W. (2012). “Dialog Designs in Virtual Drama: Balancing Agency and Scripted Dialogs”. In D. Hutchison, T. Kanade, J. Kittler, J. M. Kleinberg, F. Mattern, J. C. Mitchell, M. Naor, O. Nierstrasz, C. Pandu Rangan, B. Steffen, M. Sudan, D. Terzopoulos, D. Tygar, M. Y. Vardi, G. Weikum, M. Beer, C. Brom, F. Dignum, & V. -W. Soo (Eds.), Lecture Notes in Computer Science. Agents for Educational Games and Simulations (Vol. 7471, pp. 63–78). Springer Berlin Heidelberg.
Kaplan, A. N. (2000). “A computational model of belief” [Doctoral dessertation]. University of Rochester, United States -- New York.
Kar, S. (2020). “Automatic Characterization of Stories” [Doctoral dessertation], University of Houston, United States - Texas.
Knipp, R. S., Brooks, K. M., Eikos, S. R., Penrod, J. B., Jones, J. A., Patch, T. P., & Lien, T. J. (2015). Immersive Story Creation. (US 201514942815 A).
Kurt, D. A. (2018). “Artistic Creativity in Artificial Intelligence”. [Master's Dissertation]. Radboud University.
Kybartas, Q., Verbrugge, C., & Lessard, J. (2021). “A Force Dynamic Model of Narrative Agents”. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 17(1), 50–57.
Lee, O. J., & Jung, J. J. (2020). “Story embedding: Learning distributed representations of stories based on character networks”. Artificial Intelligence, 281, 103235.
Li, B. (2015). “Learning knowledge to support domain-independent narrative intelligence” [Doctoral dessertation], School of Interactive Computing, Georgia Institute of Technology.
Liang, M. -Y. (2019). “Beyond elocution: Multimodal narrative discourse analysis of L2 storytelling”. ReCALL, 31(1), 56–74.
Lositsky, O., Chen, J., Toker, D., Honey, C. J., Shvartsman, M., Poppenk, J. L., Hasson, U., & Norman, K. A. (2016). “Neural pattern change during encoding of a narrative predicts retrospective duration estimates”. elife, 5, e16070. Advance online publication.
McCarthy, John (2007). “What is Artificial Intelligence?”, Stanford University.
Maciag, R. (2023). “The Hermeneutics of Artificial Text”. In IS4SI Summit 2023 (p. 94). MDPI.
Mani, I. (2013). “Computational Modeling of Narrative (1st ed. 2013)”. Synthesis Lectures on Human Language Technologies: Vol. 18. Springer International Publishing; Imprint: Springer.
Marshall, N. (1983). “Using Story Grammar to Assess Reading Comprehension”. The Reading Teacher, 36(7), 616–620.
Martin, L., Ammanabrolu, P., Wang, X., Hancock, W., Singh, S., Harrison, B., & Riedl, M. (2018). “Event Representations for Automated Story Generation with Deep Neural Nets. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 32, No. 1).
Masala, M., Cudlenco, N., Rebedea, T., & Leordeanu, M. (2023). “Explaining Vision and Language through Graphs of Events in Space and Time”. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 2818–2823). Institute of Electrical and Electronics Engineers Inc.
Michael Mateas, & Andrew Stern (2005). “Procedural Authorship: A Case-Study Of the Interactive Drama Façade”. Digital Arts and Culture (DAC), 61.
Mathewson, K. W., Castro, P. S., Cherry, C., Foster, G., & Bellemare, M. G. (2019). “Shaping the narrative arc: An information-theoretic approach to collaborative dialogue”. arXiv preprint arXiv:1901.11528.
Mazzone, M., & Elgammal, A. (2019). “Art, Creativity, and the Potential of Artificial Intelligence”. Arts, 8(1).
Mele, F., Calabrese, A., & Marseglia, R. (2007). “Interactive Analysis of Time in Film Stories”. In R. Basili & P. M. Teresa (Eds.), AI*IA 2007: Artificial Intelligence and Human-Oriented Computing: 10th Congress of the Italian Association for Artificial Intelligence, Rome, Italy, September 10-13, 2007, Proceedings (pp. 765–772). Springer.
Melnychuk, O. (2023). “Schemas and Cognitive Modelling of Narrative”. Věda a Perspektivy, 7(26). Advance online publication.
Montfort, N. (2007). “Generating narrative variation in interactive fiction” [Doctoral dessertation]. University of Pennsylvania, United States -- Pennsylvania.
Mosher, H. F. (1980). “A New Synthesis of Narratology [Review of Story and Discourse: Narrative Structure in Fiction and Film, by S. Chatman]”. Poetics Today, 1(3), 171–186.
Mostafazadeh, N. (2017). “From Event to Story Understanding” [Doctoral dessertation]. University of Rochester, United States -- New York.
Nichols, E., Gao, L., Vasylkiv, Y., & Gomez, R. (2021). “Design and Analysis of a Collaborative Story Generation Game for Social Robots”. Frontiers in Computer Science, 3.
Niehaus, J. (2009). “Cognitive models of discourse comprehension for narrative generation” [Doctoral dessertation]. North Carolina State University, United States -- North Carolina.
Nishida, T. (2007). “Semantic Computing with Conversations and Stories”. In A. Sakurai, K. Hasida, & K. Nitta (Eds.), New Frontiers in Artificial Intelligence (pp. 169–184). Springer-Verlag Berlin Heidelberg.
Nissan, E. (2014). “Narratives, Formalism, Computational Tools, and Nonlinearity”. In N. Dershowitz & E. Nissan (Eds.), Lecture Notes in Computer Science. Language, Culture, Computation. Computing of the Humanities, Law, and Narratives (Vol. 8002, pp. 270–393). Springer Berlin Heidelberg.
Opt, S. K. (1988). “Continuity and Change in Storytelling about Artificial Intelligence: Extending the Narrative Paradigm”. Communication Quarterly, 36(4), 298–310.
Brady, P., & Saliklis, E. (2009). “The structure of a story”. In 2009 39th IEEE Frontiers in Education Conference.
Padia, K. (2019). “Storyline Visualization Techniques for Linear, Non-linear, and Diegetic Narratives” [Doctoral dessertation]. North Carolina State University, United States -- North Carolina.
Peinado, F., Francisco, V., Hervás, R., & Gervás, P. (2010). “Assessing the Novelty of Computer-Generated Narratives Using Empirical Metrics”. Minds and Machines, 20(4), 565-588.
Pérez, R. P. y., & Sharples, M. (2023). An introduction to narrative generators: how computers create works of fiction. Oxford University Press.
Porteous, J., Cavazza, M. & Charles, F. (2010). “Narrative generation through characters' point of view”. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: Volume 1 (pp. 1297–1304). International Foundation for Autonomous Agents and Multiagent Systems.
Rapaport, W. J., Segal, E. M., Shapiro, S. C., Zubin, D. A., Bruder, G. A., & Duchan, J. F. (2007). “Cognitive and Computer Systems for Understanding Narrative Text”. Center for Cognitive Science.
Riedl, M. O. (2004). “Narrative generation: Balancing plot and character” [Doctoral dessertation]. North Carolina State University, United States -- North Carolina.
Riedl, M. O., & Young, R. M. (2005). “An Objective Character Believability Evaluation Procedure for Multi-agent Story Generation Systems”. In G. IVA 2005 Kos (Ed.), Intelligent virtual agents: 5th international working conference, IVA 2005, Kos, Greece, September 12-14, 2005: proceedings (pp. 278–291). Springer.
Robertson, J. (2013). “Improving Plan-Based Interactive Narrative Generation”. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 9(6), 21–24.
Romero, H. Y., Arrobo-Agila, J. P., & Jaramillo, A. R. (2022). “Artificial intelligence in sound narrative. A case study”. Analisi, 66, 9–23.
Sack, G. A. (2012). “Character Networks for Narrative Generation”. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 8(2), 38–43.
Santana, B., Campos, R., Amorim, E., Jorge, A., Silvano, P., & Nunes, S. (2023). “A survey on narrative extraction from textual data”. Artificial Intelligence Review, 56(8), 8393–8435.
Sava-Segal, C., Richards, C., Leung, M., & Finn, E. S. (2023). “Individual differences in neural event segmentation of continuous experiences”. Cerebral Cortex (New York, N. Y.: 1991), 33(13), 8164–8178.
Sgouros, N. M. (1999). “Dynamic generation, management and resolution of interactive plots”. Artificial Intelligence, 107(1), 29–62.
Shankamarayanan, A., Syed, T., Shapsough, S., & Zualkeman, I. (2024). “Once Upon a GPT-4: Enhancing Diversity in Automated Reading Comprehension Story Generation with Classic Tales”. In 2024 IEEE International Conference on Advanced Learning Technologies (ICALT), pp. 196–200.
Sharples, M., & Pérez y Pérez, R. (2022). Story Machines: How computers have become creative writers. Routledge.
Shirvani, A., Ware, S. G., & Baker, L. J. (2023). “Personality and Emotion in Strong-Story Narrative Planning”. IEEE Transactions on Games, 15(4), 669–682.
Shoulson, A., Garcia, D., & Badler, N. (2011). “Selecting Agents for Narrative Roles”. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 7(2), 65–68.
Siler, C. (2022). “Open-World Narrative Generation to Answer Players’ Questions”. In Ware S.G. & Eger M. (Eds.), Eighteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (pp. 307–310). Association for the Advancement of Artificial Intelligence.
Smith, B. H. (1980). “Narrative Versions, Narrative Theories”. Critical Inquiry, 7(1), 213–236.
Smythe, J. M. D., & Crowell, R. W. (2020). System For Determining User Intent From Text. (US 202017069128 A).
Soares de Lima, E., Feijó, B., Furtado, A. L., & Gottin, V. M. (2018). “Personality and Preference Modeling for Adaptive Storytelling”. In 2018 17th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames).
Swartjes, I., & Theune, M. (2006). “A Fabula Model for Emergent Narrative”. In D. Hutchison, T. Kanade, J. Kittler, J. M. Kleinberg, F. Mattern, J. C. Mitchell, M. Naor, O. Nierstrasz, C. Pandu Rangan, B. Steffen, M. Sudan, D. Terzopoulos, D. Tygar, M. Y. Vardi, G. Weikum, S. Göbel, R. Malkewitz, & I. Iurgel (Eds.), Lecture Notes in Computer Science. Technologies for Interactive Digital Storytelling and Entertainment (Vol. 4326, pp. 49–60). “Springer Berlin Heidelberg.
Szilas, N. (2007). “A computational model of an intelligent narrator for interactive narratives”. Applied Artificial Intelligence, 21(8), 753–801.
Thangaraj, M., & Sivakami, M. (2018). “Text classification techniques: A literature review”. Interdisciplinary journal of information, knowledge, and management, 13, 117.
Thomas, C. M. (2011). “The Algorithmic Expansion of Stories” [Doctoral dessertation]. Queen's University (Canada), Canada -- Ontario, CA.
Vijayaraghavan, P., & Roy, D. (2023). “M-sense: Modeling Narrative Structure in Short Personal Narratives Using Protagonist’s Mental Representations”. Proceedings of the AAAI Conference on Artificial Intelligence, 37(11), 13664–13672
Visel, T. A. (2006). A Method For Inclusion Of Psychological Temperament In An Electronic Emulation Of The Human Brain. (US 2006/0000229 W).
Ware, S. G. (2014). “A Plan-Based Model of Conflict for Narrative Reasoning and Generation” [Doctoral dessertation]. North Carolina State University, United States -- North Carolina.
Ware, S. G., Young, R. M., Harrison, B., & Roberts, D. L. (2014). “A Computational Model of Plan-Based Narrative Conflict at the Fabula Level”. IEEE Transactions on Computational Intelligence and AI in Games, 6(3), 271–288.
Ware, S., & Young, R. (2010). “Modeling Narrative Conflict to Generate Interesting Stories”. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 6(1), 210–215.
Winer, D. (2014). “Review of ontology based storytelling devices”. In N. Dershowitz & E. Nissan (Eds.), Language, culture, computation (pp. 394–405). Berlin: Springer.
Winston, P. H., & Finlayson, M. A. (2012). “Learning narrative structure from annotated folktales” [Doctoral dessertation]. Massachusetts Institute of Technology.
Xu, P. (2021). “Affective Natural Language Generation” [Doctoral dessertation]. Hong Kong University of Science and Technology (Hong Kong).
Xu, Y., Aubele, J., Vigil, V., Bustamante, A. S., Kim, Y. -S., & Warschauer, M. (2022). “Dialogue with a conversational agent promotes children’s story comprehension via enhancing engagement”. Child Development, 93(2), e149-e167.
Zass, R. (2024). Generating Dialogs For Narrative Works Of Art. (US 202418622916 A).
Zhao, Z., Song, S., Duah, B., Macbeth, J., Carter, S., Van, M. P., Bravo, N. S., Klenk, M., Sick, K., & Filipowicz, A. L. S. (2023). “More human than human: LLM-generated narratives outperform human-LLM interleaved narratives”. In Creativity and Cognition (pp. 368–370). ACM.
Zhu, J. (2010). “Towards a Computational Narration of Inner World”. Digital Humanities 2010, 276-278.
