Evolving neural NPCs with layered influence map in the real-time simulation game 'conqueror'

Su Hyung Jang; Sung Bae Cho

doi:10.1109/CIG.2008.5035666

Evolving neural NPCs with layered influence map in the real-time simulation game 'conqueror'

Su Hyung Jang, Sung Bae Cho

Department of Computer Science

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

15 Citations (Scopus)

Abstract

AI in computer games has been highlighted recently and the importance of game platforms that support the investigation of various kinds of AI techniques increases. In this paper, we developed a real-time simulation game called 'Conqueror' for providing with a better AI game platform to many AI researchers and applied it to produce a neural NPCs with layered influence maps. The layered influence map algorithm is used to analyze the situation in terms of distribution of influences between friends and enemies, while the neural network is adopted as a basic representation of the NPC. The experiment has been conducted with various factors and verified the usefulness of the proposed game platform.

Original language	English
Title of host publication	2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008
Pages	385-388
Number of pages	4
DOIs	https://doi.org/10.1109/CIG.2008.5035666
Publication status	Published - 2008
Event	2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008 - Perth, WA, Australia Duration: 2008 Dec 15 → 2008 Dec 18

Publication series

Name	2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008

Other

Other	2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008
Country	Australia
City	Perth, WA
Period	08/12/15 → 08/12/18

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition
Human-Computer Interaction

Access to Document

10.1109/CIG.2008.5035666

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Jang, S. H., & Cho, S. B. (2008). Evolving neural NPCs with layered influence map in the real-time simulation game 'conqueror'. In 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008 (pp. 385-388). [5035666] (2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008). https://doi.org/10.1109/CIG.2008.5035666

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abstract = "AI in computer games has been highlighted recently and the importance of game platforms that support the investigation of various kinds of AI techniques increases. In this paper, we developed a real-time simulation game called 'Conqueror' for providing with a better AI game platform to many AI researchers and applied it to produce a neural NPCs with layered influence maps. The layered influence map algorithm is used to analyze the situation in terms of distribution of influences between friends and enemies, while the neural network is adopted as a basic representation of the NPC. The experiment has been conducted with various factors and verified the usefulness of the proposed game platform.",

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note = "2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008 ; Conference date: 15-12-2008 Through 18-12-2008",

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Jang, SH & Cho, SB 2008, Evolving neural NPCs with layered influence map in the real-time simulation game 'conqueror'. in 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008., 5035666, 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008, pp. 385-388, 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008, Perth, WA, Australia, 08/12/15. https://doi.org/10.1109/CIG.2008.5035666

Evolving neural NPCs with layered influence map in the real-time simulation game 'conqueror'. / Jang, Su Hyung; Cho, Sung Bae.

2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008. 2008. p. 385-388 5035666 (2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008).

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

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