An Intent-Driven Planner for Multi-Agent Story Generation
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Generating narrative variation in interactive fiction
Generating narrative variation in interactive fiction
A Use of Flashback and Foreshadowing for Surprise Arousal in Narrative Using a Plan-Based Approach
ICIDS '08 Proceedings of the 1st Joint International Conference on Interactive Digital Storytelling: Interactive Storytelling
A computational model of narrative generation for suspense
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Cognitive models of discourse comprehension for narrative generation
Cognitive models of discourse comprehension for narrative generation
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The order in which the events of a story are presented plays an important role in story-telling. In this paper, we present an algorithm that generates narratives of different presentation orders for a story by taking its plan representation and the desired amount of non-linearity as input. We use the principles of event-indexing model, a cognitive model of narrative comprehension, to generate narratives without affecting the ease of comprehension. We hypothesize that a narrative deviated from its chronological order and presented without affecting the ease of comprehension might lead to cognitive engagement. Empirical evaluation of the system was conducted to test this hypothesis along with the amount of non-linearity that could be introduced in a story without affecting the ease of comprehension.