A Believable Agent for First-Person Shooter Games

Dongkyu Choi, Tolga Konik, Negin Nejati, Chunki Park, Pat Langley

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.

Subjects: 2. Architectures 4. Cognitive Modeling

Submitted: Mar 30, 2007


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.