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

Su Hyung Jang, Sung Bae Cho

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

16 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 languageEnglish
Title of host publication2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008
Pages385-388
Number of pages4
DOIs
Publication statusPublished - 2008
Event2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008 - Perth, WA, Australia
Duration: 2008 Dec 15 → 2008 Dec 18

Publication series

Name2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008

Other

Other2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008
CountryAustralia
CityPerth, WA
Period08/12/15 → 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

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