Using Neural Network and Genetic Algorithm to Implement Artificial Intelligence of Starcraft
| Autor: | Yuan-Wen Chen, 陳淵文 |
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| Rok vydání: | 2014 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 102 StarCraft is a Real-Time War Strategy video game developed by Blizzard Entertainment in 1998. Real Time Strategy Games are one of the most popular game schemes in PC markets and offer a dynamic environment that involves several interacting agents. The core strategies that need to be developed in these games are unit micro management, building order, resource management, and the game main tactic. The player must reason about high-level strategy and planning while having effective tactics. Unfortunately, current games only use scripted and fixed behaviors for their artificial intelligence, and the player can easily learn the counter measures to defeat the AI. Enabling an artificial agent to deal with such a task entails breaking down the complexity of this environment. In this paper, we describe a system based on neural networks that controls what units should do in the game StarCraft. The system combined with genetic algorithm which can learn better way to play this game. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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