Battlefield Agent Decision-Making Based on Markov Decision Process-Reference-Cited by-同舟云学术

Battlefield Agent Decision-Making Based on Markov Decision Process

Published:2017-03-15 Issue:2 Volume:21 Page:221-227
ISSN:1883-8014
Container-title:Journal of Advanced Computational Intelligence and Intelligent Informatics
language:en
Short-container-title:JACIII

Author:

Zhang Jia, ,Wang Xiang,Deng Fang,Xin Bin,Chen Wenjie,

Abstract

Battlefield decision-making is an important part of modern information warfare. It can analyze and integrate battlefield information, reduce operators’ work and assist them to make decisions quickly in complex battlefield environment. The paper presents a dynamic battlefield decision-making method based on Markov Decision Processes (MDP). By this method, operators can get decision support quickly in the case of incomplete information. In order to improve the credibility of decisions, dynamic adaptability and intelligence, softmax regression and random forest are introduced to improve the MDP model. Simulations show that the method is intuitive and practical, and has remarkable advantages in solving the dynamic decision problems under incomplete information.

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

Reference16 articles.

1. Z. M. Han, “On Operational Decision-making Behavior,” Beijing: National Defense University Press, 2005.

2. Q. Z. Wang and F. Bai, “Simulation Study on Tactical Decision Support System for Tank Element,” Fire Control and Command Control, Vol.35, No.5, pp. 58-61, 2010.

3. L. H. Dou, “Intelligence Decision Support System for The Optimal Design of Tank’s Fire Control System,” Beijing: Beijing Institute of Technology, 2002.

4. P. Louvieris, A. Gregoriades, and W. Garn, “Assessing Critical Success Factors for Military Decision Support,” Expert Systems with Applications, Vol.37, No.12, pp. 8229-8241, 2010.

5. H. B. Yang, J. L. Li, and Z. Q. Hong, “Study on Aided Decision-making System for Operational Command of SLM,” Fire Control and Command Control, Vol.40, No.1, pp. 122-125, 2015.