A new approach for Threat Evaluation and Weapon Assignment problem, hybrid learning with multi-agent coordination

The use of intelligent agents is one of the popular topics in defense industry. Agent usage would be beneficial for defense industry especially in decision making phase of the domain procedures. In Threat Evaluation Weapon Assignment System (TEWAS), we tried to develop learning agents working in coordination for the decision process of command and control systems. This paper describes all details of TEWAS Project in the scope of machine learning techniques.