Abstract:

The Apriori algorithm can be applied to mine operational laws from big warfare simulation experiment data. To decrease the cost of law discovery, an sequential experiment method is advanced. The main idea is to discover the low support rules timely during experiments, verify them, use rule base to avoid repetitive exploration and finally enhance the mining efficiency. The principles of the Apriori algorithm and its application in warfare simulation experiment are introduced. The algorithm flow to control the exploratory experiments and some key techniques are described. Finally, a Monte Carlo simulation demonstrates the effectiveness of the control method. It is a new idea to conduct law discovery warfare simulation experiments.