A Believable Agent for First-Person Shooter Games
DOI:
https://doi.org/10.1609/aiide.v3i1.18787Abstract
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
2021-09-29
How to Cite
Choi, D., Konik, T., Nejati, N., Park, C., & Langley, P. (2021). 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
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Section
Poster Papers