An optimization approach to believable behavior in computer games

Yifeng Zeng; Hua Mao; Fan Yang; Jian Luo

doi:10.1007/978-3-642-36288-0_8

An optimization approach to believable behavior in computer games

Yifeng Zeng^*, Hua Mao, Fan Yang, Jian Luo

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Agents and Data Mining Interaction - 8th International Workshop, ADMI 2012, Revised Selected Papers
Pages	81-92
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-36288-0_8
Publication status	Published - 2013
Externally published	Yes
Event	8th International Workshop on Agents and Data Mining Interaction, ADMI 2012 - Valencia, Spain Duration: 4 Jun 2012 → 5 Jun 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7607 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Workshop on Agents and Data Mining Interaction, ADMI 2012
Country/Territory	Spain
City	Valencia
Period	4/06/12 → 5/06/12

Access to Document

10.1007/978-3-642-36288-0_8

Cite this

Zeng, Y., Mao, H., Yang, F., & Luo, J. (2013). An optimization approach to believable behavior in computer games. In Agents and Data Mining Interaction - 8th International Workshop, ADMI 2012, Revised Selected Papers (pp. 81-92). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7607 LNAI). https://doi.org/10.1007/978-3-642-36288-0_8

@inproceedings{3ed05809ce584bac8ae2f3759f0cf607,

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",

doi = "10.1007/978-3-642-36288-0_8",

language = "English",

isbn = "9783642362873",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "81--92",

booktitle = "Agents and Data Mining Interaction - 8th International Workshop, ADMI 2012, Revised Selected Papers",

note = "8th International Workshop on Agents and Data Mining Interaction, ADMI 2012 ; Conference date: 04-06-2012 Through 05-06-2012",

}

Zeng, Y , Mao, H, Yang, F & Luo, J 2013, An optimization approach to believable behavior in computer games. in Agents and Data Mining Interaction - 8th International Workshop, ADMI 2012, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7607 LNAI, pp. 81-92, 8th International Workshop on Agents and Data Mining Interaction, ADMI 2012, Valencia, Spain, 4/06/12. https://doi.org/10.1007/978-3-642-36288-0_8

An optimization approach to believable behavior in computer games. / Zeng, Yifeng ; Mao, Hua; Yang, Fan et al.
Agents and Data Mining Interaction - 8th International Workshop, ADMI 2012, Revised Selected Papers. 2013. p. 81-92 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7607 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - An optimization approach to believable behavior in computer games

AU - Zeng, Yifeng

AU - Mao, Hua

AU - Yang, Fan

AU - Luo, Jian

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

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DO - 10.1007/978-3-642-36288-0_8

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AN - SCOPUS:84873881391

SN - 9783642362873

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Agents and Data Mining Interaction - 8th International Workshop, ADMI 2012, Revised Selected Papers

T2 - 8th International Workshop on Agents and Data Mining Interaction, ADMI 2012

Y2 - 4 June 2012 through 5 June 2012

ER -

Zeng Y , Mao H, Yang F, Luo J. An optimization approach to believable behavior in computer games. In Agents and Data Mining Interaction - 8th International Workshop, ADMI 2012, Revised Selected Papers. 2013. p. 81-92. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-36288-0_8

An optimization approach to believable behavior in computer games

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