Planning Graphs for Efficient Generation of Desirable Narrative Trajectories

Authors

  • Adam Amos-Binks North Carolina State University
  • Colin Potts North Carolina State University
  • R. Young University of Utah

DOI:

https://doi.org/10.1609/aiide.v13i2.12989

Keywords:

planning, narrative, experience management

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.

Downloads

Published

2017-10-05

How to Cite

Amos-Binks, A., Potts, C., & Young, R. (2017). Planning Graphs for Efficient Generation of Desirable Narrative Trajectories. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 13(2), 146–153. https://doi.org/10.1609/aiide.v13i2.12989