HEAP-Based Defense Modeling and Simulation Methodology

Author:

YOU Yong-Jun1,CHI Sung-Do2,KIM Jae-Ick1

Affiliation:

1. Agency for Defense Development

2. Korea Aerospace University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference22 articles.

1. [1] K. Bennett, T. Josefsson, S. Goss, M. Cross, S. Waugh, and T. Truong, “An application of DSTO's BattleModel using agents and humans-in-the loop,” Proc. SimTecT 2001, CGF/Agents/Behavioural Modeling, SIAA., Canberra, Australia, May 2001.

2. [2] A. Ilachinski, “Towards a science of experimental complexity: An artificial life approach to modeling warfare,” Proc. 5th Experimental Chaos Conference, pp.265-281, Orlando, FL, 1999.

3. [3] M. Babilot, Comparison of a Distributed Operations Force to a Traditional Force in Urban Combat, The Master's Thesis of Naval Postgraduate School, Monterey, CA. Sept. 2005.

4. [4] A. Easton and M. Barlow, “CROCADILE: An agent-based distillation system incorporating aspects of constructive simulation,” Proc. SimTecT 2002, Behaviour Representation, SIAA., pp.233-238, Melbourne Convention Centre, Melbourne, Australia, May 2002.

5. [5] A. Yang, H.A. Abbass, and R. Sarker, “WISDOM-II: A network centric model for warfare,” KES 2005, LNAI 3683, pp.813-819, 2005.

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1. Service-Oriented Model Engineering and Simulation for System of Systems Engineering;Concepts and Methodologies for Modeling and Simulation;2015

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