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 | |
| Publication status | Published - 2008 Dec 1 |
| 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 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
- Human-Computer Interaction
Cite this
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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
TY - GEN
T1 - Evolving neural NPCs with layered influence map in the real-time simulation game 'conqueror'
AU - Jang, Su Hyung
AU - Cho, Sung Bae
PY - 2008/12/1
Y1 - 2008/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=70349297357&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349297357&partnerID=8YFLogxK
U2 - 10.1109/CIG.2008.5035666
DO - 10.1109/CIG.2008.5035666
M3 - Conference contribution
AN - SCOPUS:70349297357
SN - 9781424429745
T3 - 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008
SP - 385
EP - 388
BT - 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008
ER -