Computers can generate and can understand natural language narratives. The generation of narrative can utilize techniques such as automated planning and scheduling, case-based reasoning and analogical reasoning. Planning-based approaches are discussed in Narrative Planning: Compilations to Classical Planning by Patrik Haslum, Notes on the Use of Plan Structures in the Creation of Interactive Plot by R. Michael Young and Planning Formalisms and Authoring in Interactive Storytelling by Fred Charles, Miguel Lozano, Steven J. Mead, Alicia Fornes Bisquerra and Marc Cavazza. Case-based reasoning approaches are discussed in Story Plot Generation based on CBR by Pablo Gervás, Belén Díaz-agudo, Federico Peinado and Raquel Hervá. Analogical reasoning approaches are discussed in Generating Story Analogues by Mark O. Riedl and Carlos León and Story Planning Creativity Through Exploration, Retrieval, and Analogical Transformation by Mark O. Riedl.
Computational models of narrative can enhance the generation of and understanding of narratives, and narrative, interestingly, can be of use when articulating or explaining arguments, reasoning processes, and other conceptual and procedural knowledge, including in mathematical and scientific educational contexts. Some publications pertinent include: Arguing with Stories by Floris Bex and Trevor Bench-Capon, A Theoretical Framework for Narrative Explanation in Science by Stephen P. Norris, Sandra M. Guilbert, Martha L. Smith, Shahram Hakimelahi and Linda M. Phillips and Story-Maker, Storyteller: Narrative Structures in Curriculum by Sigrun Gudmundsdottir.
Some publications pertinent to modeling, generating and understanding narrative include: Modeling Narrative Discourse by David Elson, Narrative Prose Generation by Charles Callaway and James Lester, Narratological Knowledge for Natural Language Generation by Birte Lönneker, An Empirical and Computational Investigation of Perceiving and Remembering Event Temporal Relations by Shulan Lu, Derek Harter and Arthur Graesser, Remembrance of Things Parsed: Story Structure and Recall by Jean M. Mandler and Nancy S. Johnson, The Effects of Causal Cohesion on Comprehension and Memory by Janice M. Keenan, Susan D. Baillet and Polly Brown, Causal Thinking and the Representation of Narrative Events by Tom Trabasso and Paul van den Broek, Cognitive Structures in Comprehension and Memory of Narrative Discourse by Perry W. Thorndyke, Constructing Inferences during Narrative Text Comprehension by Arthur C. Graesser, Murray Singer and Tom Trabasso and Summarizing Stories after Reading and Listening by Walter Kintsch and Ely Kozminsky.