A Computational Model of Narrative Generation for Surprise Arousal

作者：Bae Byung Chull^*; Young R Michael

来源：IEEE Transactions on Computational Intelligence and AI in Games, 2014, 6(2): 131-143.

DOI：10.1109/TCIAIG.2013.2290330

• Artificial intelligence
• cognitive models
• interactive narrative
• surprise generation

This paper describes our effort for a planning-based computational model of narrative generation that is designed to elicit surprise in the reader's mind, making use of two temporal narrative devices: flashback and foreshadowing. In our computational model, flashback provides a backstory to explain what causes a surprising outcome, while foreshadowing gives hints about the surprise before it occurs. Here, we present Prevoyant, a planning-based computational model of surprise arousal in narrative generation, and analyze the effectiveness of Prevoyant. The work here also presents a methodology to evaluate surprise in narrative generation using a planning-based approach based on the cognitive model of surprise causes. The results of the experiments that we conducted show strong support that Prevoyant effectively generates a discourse structure for surprise arousal in narrative.

• 出版日期2014-6