This also becomes the critical step in the development and deployment of various Artificial Intelligence (AI) capabilities in defence operations. This prompt evaluation often becomes the critical success factor in the defence operational context, leading to decision superiority under time pressure. Second, it provides a rigorous mathematical framework for the evaluation and optimisation of numerous scenarios in accordance with predefined criteria. This creates a united platform for defence decision-makers to support arriving at a particular decision. First, game theory provides a natural framework to promptly translate a high-level policy decision into optimal strategy by framing it in quantitative terms such as payoff, cost, gain or loss, risk, etc. The application of game theory and related mathematical approaches have recently attracted ever-increasing attention in the defence domain. In practical situations, this outcome can often be quantitative and amenable to arithmetic operations (cost, number of infected people, number of vaccinated people etc.), but often it can be qualitative in nature (such as risk, readiness level, health state etc.). Since the seminal work of John Von Neumann, John Nash, and others, it has been well recognised that there is an optimal strategy in the context of complex interactions (games) between two or more parties (players) that can lead to a predictable outcome (payoff). The well-known examples can be found in economics, social sciences, finance, project management, computer science, civics, and epidemiology (see and references therein). Game Theory has become one of the conventional theoretical frameworks to model important decision making processes in many aspects of our life. The presented analysis provides a concise summary of the state-of-the-art with regards to the use of game theory in defence applications and highlights the benefits and limitations of game theory in the considered scenarios. Finally, we also identify gaps in literature where game theory could be fruitfully applied in scenarios hitherto unexplored using game theory. We also explore the nature of players and the construction of payoff functions in each scenario. Similarly, papers are also classified into two-player, three-player or multi-player game based papers. In terms of the games used, we classify the reviewed papers into papers that use non-cooperative or cooperative games, simultaneous or sequential games, discrete or continuous games, and non-zero-sum or zero-sum games. 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. Scenario database of the Tiller Operational Campaigns Series Ladder which covers Panzer Campaigns, Modern campaigns,First World War Campaigns and the Total War in Europe series.This paper presents a succinct review of attempts in the literature to use game theory to model decision-making scenarios relevant to defence applications. Scenario database of the Black Powder Ladder.
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