A Believable Agent for First-Person Shooter Games

Authors

  • Dongkyu Choi Stanford University
  • Tolga Konik Stanford University
  • Negin Nejati Stanford University
  • Chunki Park Stanford University
  • Pat Langley Stanford University

DOI:

https://doi.org/10.1609/aiide.v3i1.18787

Abstract

In this paper, we present a principled approach to constructing believable game players that relies on a cognitive architecture. The resulting agent is capable of playing the game \uc/ in a plausible manner when faced with similar situations as its human counterparts. We discuss how architectural features like goal-directed but reactive execution and incremental learning can produce more believable synthetic characters.

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Published

2007-06-08

How to Cite

Choi, D., Konik, T., Nejati, N., Park, C., & Langley, P. (2007). A Believable Agent for First-Person Shooter Games. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 3(1), 71–73. https://doi.org/10.1609/aiide.v3i1.18787

Issue

Vol. 3 No. 1 (2007): Third Artificial Intelligence and Interactive Digital Entertainment Conference

Section

Poster Papers