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Proceedings Paper

Simulation-based planning for peacekeeping operations: selection of robust plans
Author(s): Cvetelina Cekova; B. Chandrasekaran; John Josephson; Aleksandar Pantaleev
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Paper Abstract

This research is part of a proposed shift in emphasis in decision support from optimality to robustness. Computer simulation is emerging as a useful tool in planning courses of action (COAs). Simulations require domain models, but there is an inevitable gap between models and reality - some aspects of reality are not represented at all, and what is represented may contain errors. As models are aggregated from multiple sources, the decision maker is further insulated from even an awareness of model weaknesses. To realize the full power of computer simluations to support decision making, decision support systems should support the planner in exporing the robustness of COAs in the face of potential weaknesses in simulation models. This paper demonstrates a method of exploring the robustness of a COA with respect to specific model assumptions about whose accuracy the decision maker might have concerns. The domain is that of peacekeeping in a country where three differenct demographic groups co-exist in tension. An external peacekeeping force strives to achieve stability, an improved economy, and a higher degree of democracy in the country. A proposed COA for such a force is simluated multiple times while varying the assumptions. A visual data analysis tool is used to explore COA robustness. The aim is to help the decision maker choose a COA that is likely to be successful even in the face of potential errors in the assumptions in the models.

Paper Details

Date Published: 22 May 2006
PDF: 11 pages
Proc. SPIE 6228, Modeling and Simulation for Military Applications, 622818 (22 May 2006); doi: 10.1117/12.665314
Show Author Affiliations
Cvetelina Cekova, Ohio State Univ. (United States)
B. Chandrasekaran, Ohio State Univ. (United States)
John Josephson, Ohio State Univ. (United States)
Aleksandar Pantaleev, Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 6228:
Modeling and Simulation for Military Applications
Kevin Schum; Alex F. Sisti, Editor(s)

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