Sabre: A Narrative Planner Supporting Intention and Deep Theory of Mind

Authors

  • Stephen G. Ware University of Kentucky
  • Cory Siler University of Kentucky

Keywords:

Narrative Planning, Intention, Belief, Theory Of Mind

Abstract

Sabre is a narrative planner—a centralized, omniscient decision maker that solves a multi-agent storytelling problem. The planner has an author goal it must achieve, but every action taken by an agent must make sense according to that agent's individual intentions and limited, possibly wrong beliefs. This paper describes the implementation of Sabre, which supports a rich action syntax and imposes no arbitrary limit on the depth of theory of mind. We present a search procedure for generating plans that achieve the author goals while ensuring all agent actions are explained, and we report the system's performance on several narrative planning benchmark problems.

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Published

2021-10-04

How to Cite

Ware, S. G., & Siler, C. (2021). Sabre: A Narrative Planner Supporting Intention and Deep Theory of Mind. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 17(1), 99-106. Retrieved from https://ojs.aaai.org/index.php/AIIDE/article/view/18896