A New Approach for Threat Evaluation and Weapon Assignment Problem, Hybrid Learning with Multi-Agent Coordination

Date

2008-10-29

Author

Azak, Mustafa
Bayrak, Ahmet Engin

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Weapons, Defense industry, Decision making, Humans, Command and control systems, Performance evaluation, Machine learning, Sensor phenomena and characterization, Intelligent agent, Computer industry

URI

https://hdl.handle.net/11511/65985

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

M. Azak and A. E. Bayrak, “A New Approach for Threat Evaluation and Weapon Assignment Problem, Hybrid Learning with Multi-Agent Coordination,” 2008, p. 70, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65985.