Using Neural Networks for Strategy Selection in Real-Time Strategy Games
نویسندگان
چکیده
Video games continue to grow in importance as a platform for Artificial Intelligence (AI) research since they offer a rich virtual environment without the noise present in the real world. In this paper, a simulated ship combat game is used as an environment for evolving neural network controlled ship combat strategies. Domain knowledge is used as input to the Artificial Neural Networks (ANNs) through scripts that run in parallel and feed their decisions to the ANNs. The ANNs then interpret these scripts and decide what strategy to perform. The results are compared to ANNs that have no such knowledge and tested to see how well the ANNs generalise. 12
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