A coevolutionary approach to course of action generation and visualization in multi-sided conflicts

Liana Suantak, Jerry Schlabach, David Hillis, Jerzy W. Rozenblit, Michael Barnes

Research output: Contribution to journalConference article

4 Scopus citations

Abstract

The current state of military operations includes many stability and support (SASO), multi-sided conflicts. The research presented in this paper attempts to address this complex environment by creating a SASO simulation, coevolutionary generation of courses-of-Actions (COAs) for each side, and visualization tools for analysis of the resulting COAs. The SASO simulation is significantly different from previous systems because it incorporates non-conventional warfare units such as terrorists and media. The coevolution algorithm is different because it allows all sides of the conflict to evolve their COAs. The visualization tools are important because SASO doctrine is not as well developed as conventional warfare doctrine. Therefore, visual analysis and understanding of a system that is not well defined provides insight for future modeling and verification.

Original languageEnglish (US)
Pages (from-to)1973-1978
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume2
StatePublished - Nov 24 2003
EventSystem Security and Assurance - Washington, DC, United States
Duration: Oct 5 2003Oct 8 2003

Keywords

  • Course-of-action
  • Genetic algorithms
  • Stability and support operations
  • Visualization

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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