We also observe that most of the reviewed papers are concerned with sensing, tracking, and large sensor networks, and the studied problems have parallels in sensor network analysis in the civilian domain. In terms of the warfares modelled, we recognise that most papers that apply game theory in defence settings are concerned with Command and Control Warfare, and can be further classified into papers dealing with (i) Resource Allocation Warfare (ii) Information Warfare (iii) Weapons Control Warfare, and (iv) Adversary Monitoring Warfare. After careful selection, a total of 29 directly relevant papers are discussed and classified.
This paper provides a structured review of such attempts, and classifies existing literature in terms of the kind of warfare modelled, the types of games used, and the players involved.
In past decades, there have been several studies that applied different branches of game theory to model a range of defence-related scenarios. Modelling how the actions of competitive players shape the decision making of each other is the forte of game theory. In defence applications, there is often a need to model and predict the actions of hostile actors, and players who try to evade or out-smart each other. It has been used to model scenarios from diverse fields such as economics, evolutionary biology, and computer science. Game theory has been proven as a very effective tool in modelling the decision-making processes of intelligent agents, entities, and players. This paper presents a succinct review of attempts in the literature to use game theory to model decision-making scenarios relevant to defence applications.
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