Application of decision tree learning in military decision making process
Application of decision tree learning in military decision making process

Summary/Abstract: Supremacy in the 21st century will be the result of positioning in the artificial intelligence (AI) competition, a competition not always fair, but justified primarily by the advantages offered in terms of power: the winner dictates the rules in all domains. AI has the ability to create new forms of military conflicts, one of the directions being the optimization of the decision-making process. At the same time, human-AI synergy represents one of the challenges of authority and trust for moving to the implementation stage. The purpose of this article is to highlight the impact that AI has on the interpretation of certain courses of action related to a given scenario. Through the analysis based on the decision tree learning, a frequently used form of machine learning, both optimal decisions and those that do not correspond to the desired final state will be highlighted. Thus, the requirements for improving the performance of the military decision-making process for new and/or changing future situations are answered.

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