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

Author

Azak, Mustafa ; Bayrak, Ahmet Engin

Author_Institution

Dept. of Comput. Eng., Middle East Tech. Univ., Ankara

fYear

2008

fDate

27-29 Oct. 2008

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

command and control systems; defence industry; learning (artificial intelligence); military computing; multi-agent systems; weapons; command and control systems; defense industry; hybrid learning; intelligent agents; machine learning techniques; multiagent coordination; threat evaluation system; weapon assignment problem; Command and control systems; Computer industry; Decision making; Defense industry; Humans; Intelligent agent; Machine learning; Performance evaluation; Sensor phenomena and characterization; Weapons;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Sciences, 2008. ISCIS '08. 23rd International Symposium on

Conference_Location

Istanbul

Print_ISBN

978-1-4244-2880-9

Electronic_ISBN

978-1-4244-2881-6

Type

conf

DOI

10.1109/ISCIS.2008.4717866

Filename

4717866