@inproceedings{80bb5182eaf94a06b6102a57a9ea51a2,
title = "An optimization approach to believable behavior in computer games",
abstract = "Many artificial intelligence techniques have been developed to construct intelligent non-player characters (NPCs) in computer games. As games are gradually becoming an integral part of our life, they require human-like NPCs that shall exhibit believable behavior in the game-play. In this paper, we present an optimization approach to designing believable behavior models for NPCs. We quantify the notion of believability using a multi-objective function, and subsequently convert the achieving of believable behavior into one function optimization problem. We compute its analytical solutions and demonstrate the performance in a practical game.",
author = "Yifeng Zeng and Hua Mao and Fan Yang and Jian Luo",
year = "2013",
month = feb,
day = "4",
doi = "10.1007/978-3-642-36288-0_8",
language = "English",
isbn = "978-3-642-36287-3",
series = "Lecture Notes in Computer Science",
publisher = "Springer Publishing Company",
pages = "81--92",
editor = "Longbing Cao and Yifeng Zeng and Symeonidis, {Andreas L.} and Gorodetsky, {Vladimir I.} and Yu, {Philip S.} and Singh, {Munindar P.}",
booktitle = "Agents and Data Mining Interaction",
address = "United States",
}