Using Domain Compilation to Add Belief to Narrative Planners

Authors

  • Matthew Christensen University of Utah
  • Jennifer M. Nelson University of Utah
  • Rogelio E. Cardona-Rivera University of Utah

DOI:

https://doi.org/10.1609/aiide.v16i1.7405

Abstract

Using domain compilation, we present a narrative planning system that is capable of creating narrative plans that use both character intention and character beliefs. We introduce a model capable of representing character beliefs in PDDL domains. This model allows characters to fail at actions when their beliefs about the world differ from the actual world state. Domains of this type can be compiled into purely intentional domains, and fed as input to intentional planners. The resulting stories feature characters that pursue their own intentions based on their own knowledge of the world, learn from mistakes to update their beliefs, and communicate information to each other. These types of stories are not possible with purely intentional domains.

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Published

2020-10-01

How to Cite

Christensen, M., Nelson, J., & Cardona-Rivera, R. (2020). Using Domain Compilation to Add Belief to Narrative Planners. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 16(1), 38-44. https://doi.org/10.1609/aiide.v16i1.7405