A Believable Agent for First-Person Shooter Games

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 Urban Combat 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.

• Type: Conference
• Year: 2007
• Where: AIIDE
• Authors: Dongkyu Choi, Tolga Könik, Negin Nejati, Chunki Park, Pat Langley
• Keywords: AIIDE 2007, Artificial Intelligence, Believable Game Players, Believable Synthetic Characters, Game Urban Combat