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

^*Kontaktforfatter

Institut for Datalogi

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

2 Citationer (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.

Originalsprog	Engelsk
Titel	Agents and Data Mining Interaction : 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers
Redaktører	Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir I. Gorodetsky, Philip S. Yu, Munindar P. Singh
Antal sider	12
Forlag	Springer Publishing Company
Publikationsdato	4 feb. 2013
Sider	81-92
ISBN (Trykt)	978-3-642-36287-3
ISBN (Elektronisk)	978-3-642-36288-0
DOI	https://doi.org/10.1007/978-3-642-36288-0_8
Status	Udgivet - 4 feb. 2013

Navn	Lecture Notes in Computer Science
Vol/bind	7607
ISSN	0302-9743

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

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Zeng, Y., Mao, H., Yang, F., & Luo, J. (2013). An optimization approach to believable behavior in computer games. I L. Cao, Y. Zeng, A. L. Symeonidis, V. I. Gorodetsky, P. S. Yu, & M. P. Singh (red.), Agents and Data Mining Interaction: 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers (s. 81-92). Springer Publishing Company. https://doi.org/10.1007/978-3-642-36288-0_8

Zeng, Yifeng ; Mao, Hua ; Yang, Fan et al. / An optimization approach to believable behavior in computer games. Agents and Data Mining Interaction: 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers. red. / Longbing Cao ; Yifeng Zeng ; Andreas L. Symeonidis ; Vladimir I. Gorodetsky ; Philip S. Yu ; Munindar P. Singh. Springer Publishing Company, 2013. s. 81-92 (Lecture Notes in Computer Science, Bind 7607).

@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",

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}

Zeng, Y, Mao, H, Yang, F & Luo, J 2013, An optimization approach to believable behavior in computer games. i L Cao, Y Zeng, AL Symeonidis, VI Gorodetsky, PS Yu & MP Singh (red), Agents and Data Mining Interaction: 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers. Springer Publishing Company, Lecture Notes in Computer Science, bind 7607, s. 81-92. 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, Valencia, Spain, June 4-5, 2012, Revised Selected Papers. red. / Longbing Cao; Yifeng Zeng; Andreas L. Symeonidis; Vladimir I. Gorodetsky; Philip S. Yu; Munindar P. Singh. Springer Publishing Company, 2013. s. 81-92 (Lecture Notes in Computer Science, Bind 7607).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - An optimization approach to believable behavior in computer games

AU - Zeng, Yifeng

AU - Mao, Hua

AU - Yang, Fan

AU - Luo, Jian

PY - 2013/2/4

Y1 - 2013/2/4

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.

U2 - 10.1007/978-3-642-36288-0_8

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

M3 - Article in proceeding

AN - SCOPUS:84873881391

SN - 978-3-642-36287-3

T3 - Lecture Notes in Computer Science

SP - 81

EP - 92

BT - Agents and Data Mining Interaction

A2 - Cao, Longbing

A2 - Zeng, Yifeng

A2 - Symeonidis, Andreas L.

A2 - Gorodetsky, Vladimir I.

A2 - Yu, Philip S.

A2 - Singh, Munindar P.

PB - Springer Publishing Company

ER -

Zeng Y, Mao H, Yang F, Luo J. An optimization approach to believable behavior in computer games. I Cao L, Zeng Y, Symeonidis AL, Gorodetsky VI, Yu PS, Singh MP, red., Agents and Data Mining Interaction: 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers. Springer Publishing Company. 2013. s. 81-92. (Lecture Notes in Computer Science, Bind 7607). doi: 10.1007/978-3-642-36288-0_8

An optimization approach to believable behavior in computer games

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