Title
A Believable Agent for First-Person Shooter Games
Abstract
In this paper, we present a principled approach to con- structing believable game players that relies on a cogni- tive architecture. The resulting agent is capable of play- ing 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 pro- duce more believable synthetic characters.
Year
Venue
Field
2007
AIIDE
Computer science,Incremental learning,Human–computer interaction,Artificial intelligence,Cognitive architecture,Multimedia,Machine learning
DocType
Citations 
PageRank 
Conference
7
0.78
References 
Authors
8
5
Name
Order
Citations
PageRank
Dongkyu Choi118113.69
Tolga Könik2868.21
Negin Nejati3945.95
Chunki Park470.78
Pat Langley564711307.64