Optimal strategy selection of non-player character on real time strategy game using a speciated evolutionary algorithm

Su Hyung Jang; Jong Won Yoon; Sung Bae Cho

doi:10.1109/CIG.2009.5286490

Optimal strategy selection of non-player character on real time strategy game using a speciated evolutionary algorithm

Su Hyung Jang, Jong Won Yoon, Sung Bae Cho

College of Computing

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

17 Citations (Scopus)

Abstract

In the real-time strategy game, success of AI depends on consecutive and effective decision making on actions by NPCs in the game. In this regard, there have been many researchers to find the optimized choice. This paper confirms the improvement of NPC performance in a real-time strategy game by using the speciated evolutionary algorithm for such decision making on actions, which has been largely applied to the classification problems. Creation and selection of members to use for this ensemble method is manifested through speciation and the performance is verified through 'conqueror', a real-time strategy game platform developed by our previous work.

Original language	English
Title of host publication	CIG2009 - 2009 IEEE Symposium on Computational Intelligence and Games
Pages	75-79
Number of pages	5
DOIs	https://doi.org/10.1109/CIG.2009.5286490
Publication status	Published - 2009
Event	CIG2009 - 2009 IEEE Symposium on Computational Intelligence and Games - Milano, Italy Duration: 2009 Sept 7 → 2009 Sept 10

Publication series

Name	CIG2009 - 2009 IEEE Symposium on Computational Intelligence and Games

Other

Other	CIG2009 - 2009 IEEE Symposium on Computational Intelligence and Games
Country/Territory	Italy
City	Milano
Period	09/9/7 → 09/9/10

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computational Theory and Mathematics
Computer Graphics and Computer-Aided Design
Human-Computer Interaction

Access to Document

10.1109/CIG.2009.5286490

Cite this

Jang, S. H., Yoon, J. W., & Cho, S. B. (2009). Optimal strategy selection of non-player character on real time strategy game using a speciated evolutionary algorithm. In CIG2009 - 2009 IEEE Symposium on Computational Intelligence and Games (pp. 75-79). Article 5286490 (CIG2009 - 2009 IEEE Symposium on Computational Intelligence and Games). https://doi.org/10.1109/CIG.2009.5286490

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title = "Optimal strategy selection of non-player character on real time strategy game using a speciated evolutionary algorithm",

abstract = "In the real-time strategy game, success of AI depends on consecutive and effective decision making on actions by NPCs in the game. In this regard, there have been many researchers to find the optimized choice. This paper confirms the improvement of NPC performance in a real-time strategy game by using the speciated evolutionary algorithm for such decision making on actions, which has been largely applied to the classification problems. Creation and selection of members to use for this ensemble method is manifested through speciation and the performance is verified through 'conqueror', a real-time strategy game platform developed by our previous work.",

author = "Jang, {Su Hyung} and Yoon, {Jong Won} and Cho, {Sung Bae}",

year = "2009",

doi = "10.1109/CIG.2009.5286490",

language = "English",

isbn = "9781424448159",

series = "CIG2009 - 2009 IEEE Symposium on Computational Intelligence and Games",

pages = "75--79",

booktitle = "CIG2009 - 2009 IEEE Symposium on Computational Intelligence and Games",

note = "CIG2009 - 2009 IEEE Symposium on Computational Intelligence and Games ; Conference date: 07-09-2009 Through 10-09-2009",

}

Jang, SH, Yoon, JW & Cho, SB 2009, Optimal strategy selection of non-player character on real time strategy game using a speciated evolutionary algorithm. in CIG2009 - 2009 IEEE Symposium on Computational Intelligence and Games., 5286490, CIG2009 - 2009 IEEE Symposium on Computational Intelligence and Games, pp. 75-79, CIG2009 - 2009 IEEE Symposium on Computational Intelligence and Games, Milano, Italy, 09/9/7. https://doi.org/10.1109/CIG.2009.5286490

Optimal strategy selection of non-player character on real time strategy game using a speciated evolutionary algorithm. / Jang, Su Hyung; Yoon, Jong Won; Cho, Sung Bae.
CIG2009 - 2009 IEEE Symposium on Computational Intelligence and Games. 2009. p. 75-79 5286490 (CIG2009 - 2009 IEEE Symposium on Computational Intelligence and Games).

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

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AB - In the real-time strategy game, success of AI depends on consecutive and effective decision making on actions by NPCs in the game. In this regard, there have been many researchers to find the optimized choice. This paper confirms the improvement of NPC performance in a real-time strategy game by using the speciated evolutionary algorithm for such decision making on actions, which has been largely applied to the classification problems. Creation and selection of members to use for this ensemble method is manifested through speciation and the performance is verified through 'conqueror', a real-time strategy game platform developed by our previous work.

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BT - CIG2009 - 2009 IEEE Symposium on Computational Intelligence and Games

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Y2 - 7 September 2009 through 10 September 2009

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Optimal strategy selection of non-player character on real time strategy game using a speciated evolutionary algorithm

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