Planning Graphs for Efficient Generation of Desirable Narrative Trajectories

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Abstract

A goal of Experience Managers (EM) is to guide users through a space of narrative trajectories, or story branches, in an Interactive Narrative (IN). When a user performs an action that deviates from the intended trajectory, the EM uses a mediation strategy called accommodation to transition the user to a new desirable trajectory. However, generating the trajectory options then selecting the appropriate one is computationally expensive and at odds with the low-latency needs of an IN. We define three desirable properties (exemplar trajectories, narrative-theoretic comparison, and efficiency) that general solutions would possess and demonstrate how our plan-based Intention Dependency Graph addresses them.

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APA

Amos-Binks, A., Potts, C., & Michael Young, R. (2017). Planning Graphs for Efficient Generation of Desirable Narrative Trajectories. In AAAI Workshop - Technical Report (Vol. 13, pp. 146–153). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aiide.v13i2.12989

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