Evolving neural NPCs with layered influence map in the real-time simulation game ‘Conqueror’
Suhyung Jang, Sung‐Bae Cho · 2008
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 dasiaConquerorpsila 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.