By Richard Mesic Thomas Hamilton, RAND
Basic online game concept is used to narrate U.S. Air strength operations to their likey results on enemy habit.
Read or Download A Simple Game-Theoretic Approach to Suppression of Enemy Defenses and Other Time Critical Target Analyses PDF
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Extra info for A Simple Game-Theoretic Approach to Suppression of Enemy Defenses and Other Time Critical Target Analyses
This simpliﬁes the math and reﬂects the reality of the conﬂicts in which the United States is likely to be engaged in the near future. S. casualties are likely to be a serious consideration in future conﬂicts. We start by considering the result of an engagement in which both sides follow the optimum strategy. Following the optimum strategy produces a certain level of Red loss. The question is whether Red can sustain the optimum level of loss throughout the conﬂict. The concept of optimum Red loss is not obvious.
3 patrol Game value = –1 Red will play if Red considers that moving tanks on the LoC or dispersed is worth 5% or 2% per hour attrition, respectively. LOC 29 0403 R Consider the result from the previous chart—that in the situation we have postulated, Red should cease offensive operations. What would have to change for Red’s correct strategy to be to move its vehicles from their hides and resume forward movement? The key is to increase the utility that Red derives from movement relative to the disutility Red derives from losing vehicles.
Dynamic programming is a procedure for determining optimal strategies in a situation that changes over time, partly as a result of strategies adopted previously. It is best described as recursive optimization. Like game theory, dynamic programming was originally developed to address military problems and has gone on to have wide application in economics and industrial organization. 46 Solving for Multiple Engagements We consider influence of the result of one engagement on subsequent engagements by constructing a tree.
A Simple Game-Theoretic Approach to Suppression of Enemy Defenses and Other Time Critical Target Analyses by Richard Mesic Thomas Hamilton, RAND