Never a Dull Moment: Believable Dynamic Character Beat Generation between Game World Events

Authors

  • Kyle Mitchell University of California, Davis
  • Camden Pettijohn University of California, Davis
  • Joshua McCoy University of California, Davis

DOI:

https://doi.org/10.1609/aiide.v18i1.21974

Keywords:

Believable Agents, Non-player Characters, Reactive Planning, Social Simulation, Video Games

Abstract

This work presents a heterogeneous system using ABL, CiF, and a virtual game world to demonstrate how dynamic character beats can be used to preserve believability across game world events. We describe the individual components used in our system and detail how each component contributes to the alignment of physical and mental contexts of NPC agents. Finally, we provide a brief account of the demo experience showcasing our system’s capabilities.
AIIDE-2022 Proceedings Cover

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Published

2022-10-11

How to Cite

Mitchell, K., Pettijohn, C., & McCoy, J. (2022). Never a Dull Moment: Believable Dynamic Character Beat Generation between Game World Events. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 18(1), 279-281. https://doi.org/10.1609/aiide.v18i1.21974

Issue

Vol. 18 No. 1 (2022): Eighteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Section

Software Track Posters