Planning Military Operations under Uncertainty

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Authors
  1. Boukhtouta, A.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN)
Abstract
Planning under uncertainty is a research subject that has attracted much attention in the past few years. A planner that operates under uncertainty must take into consideration that actions may have several different outcomes, some of which may be more desirable than others. The planners based on classical Operations Research (OR) tools, such as decision theory, for developing course of actions (COAs) are called conventional planners in this framework. Besides the conventional planning methods, other planning methods based on more sophisticated OR techniques such as the Markov Decision Processes (MDP) and Partially Observable Markov Decision Processes (POMDP) have been considered recently as promising approaches to use in developing algorithms for planning under uncertainty. The military operation planning process is considered in this framework from a decision-theoretic perspective. It will be shown in this report how military operation plans can be performed using OR techniques to bear on the problem of choosing optimal actions for operations planning process (i.e., to develop COAs). The OR oriented planners, which can be considered for planning military operations, are divided into three categories: i) Conventional planner (replanning based planner), ii) MDP based planner, and iii) POMDP based planner. TRUNCATED

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Keywords
Decision aids;Uncertainty
Report Number
DRDC-VALCARTIER-TR-2001-221 — Technical Report
Date of publication
09 Dec 2002
Number of Pages
59
DSTKIM No
CA021938
CANDIS No
518676
Format(s):
Hardcopy

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