Pursuit-evasion games: a tractable framework for antijamming games in aerial attacks

Parras, Juan; Zazo, Santiago; Val, Jorge del; Zazo, Javier; Macua, Sergio Valcárcel

doi:10.1186/s13638-017-0857-8

Cited by 4 publications

(4 citation statements)

References 22 publications

(40 reference statements)

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“…The above experiment process was repeated 10 times and the average value was taken. Compare the accuracy of the game coordination optimization algorithm with the existing cooperative game algorithm [11,12] on the power grid [13,14]. The experimental results show that the average feature accuracy of the game coordination optimization algorithm is 90.13%, and the average feature accuracy of the dynamic game algorithm is 78.85%, and 59.16% for chase and escape games, as shown in Figure 5.…”

Section: Comparison Of Proposed Optimization and Existing Communicati...mentioning

confidence: 99%

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A Game Coordination Optimization Algorithm

Zhu

et al. 2023

J. Phys.: Conf. Ser.

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In order to solve the problems of information flow and traffic jams, this paper proposes a game coordination optimization algorithm, and gives a coordination optimization model for the communication signal area. A game coordination strategy algorithm is studied using multi-agent technology. This model can make all local area networks and routing ports fully cooperate, so that the communication signals of a certain area can be coordinated and optimized. At the same time, the application of the game coordination optimization algorithm in power grid intelligent communication, control and resource optimization is given. By comparing the communication effect under different coordination probabilities, the simulation results show that the communication effect under high coordination probability has obvious advantages such as high fidelity, low distortion, fast communication speed, and small communication volume. The development of these studies can in turn accelerate the application of game and agent algorithms in various fields.

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Section: Comparison Of Proposed Optimization and Existing Communicati...mentioning

confidence: 99%

“…At the same time, it is applied to the regional coordination of the power grid communication network. In addition, it will also discuss the accuracy comparison between the game coordination optimization algorithm and the existing cooperative game algorithm [10][11][12] on the power grid [13,14].…”

Section: Introductionmentioning

confidence: 99%

A Game Coordination Optimization Algorithm

Zhu

et al. 2023

J. Phys.: Conf. Ser.

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“…Finally, Parras et al [ 93 ] examine a pursuit-evasion game, involving anti-jamming strategies for Unmanned Aerial Vehicles (UAVs). The game operates within a continuous time frame and is therefore dynamic, being solved with the help of differential Game Theory.…”

Section: Use Of Game Theory In Defence Science and Technology Applica...mentioning

confidence: 99%

Game Theory in Defence Applications: A Review

Rajagopalan

Skvortsov

et al. 2022

Sensors

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This paper presents a succinct review of attempts in the literature to use game theory to model decision-making scenarios relevant to defence applications. Game theory has been proven as a very effective tool in modelling the decision-making processes of intelligent agents, entities, and players. It has been used to model scenarios from diverse fields such as economics, evolutionary biology, and computer science. 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. Modelling how the actions of competitive players shape the decision making of each other is the forte of game theory. In past decades, there have been several studies that applied different branches of game theory to model a range of defence-related scenarios. 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. After careful selection, a total of 29 directly relevant papers are discussed and classified. 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. 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 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. Similarly, papers are also classified into two-player, three-player or multi-player game based papers. We also explore the nature of players and the construction of payoff functions in each scenario. Finally, we also identify gaps in literature where game theory could be fruitfully applied in scenarios hitherto unexplored using game theory. 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.

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“…Finally, Parras et al [113] examine a pursuit-evasion game, involving anti-jamming strategies for Unmanned Aerial Vehicles (UAVs). The game operates within a continuous time frame and is therefore dynamic, being solved with the help of differential Game Theory.…”

Section: Papers Dealing With Target Trackingmentioning

confidence: 99%

Game Theory in defence applications: a review

Ho¹,

Rajagopalan²,

Skvortsov³

et al. 2021

Preprint

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This paper presents a succinct review of attempts in the literature to use game theory to model decision making scenarios relevant to defence applications. Game theory has been proven as a very effective tool in modelling decision making processes of intelligent agents, entities, and players. It has been used to model scenarios from diverse fields such as economics, evolutionary biology, and computer science. In defence applications, there is often a need to model and predict actions of hostile actors, and players who try to evade or out-smart each other. Modelling how the actions of competitive players shape the decision making of each other is the forte of game theory. In past decades, there have been several studies which applied different branches of game theory to model a range of defence-related scenarios. This paper provides a structured review of such attempts, and classifies existing literature in terms of the kind of warfare modelled, the types of game used, and the players involved. in terms of the warfares modelled, we recognise that most papers which 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 (iv) Adversary Monitoring Warfare. 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 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. Similarly, papers are also classified into two-player, three-player or multi-player game based papers. We also explore the nature of players and the construction of payoff functions in each scenario. Finally, we also identify gaps in literature where game theory could be fruitfully applied in scenarios hitherto unexplored using game theory. The presented analysis provides a concise summary about 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.

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Pursuit-evasion games: a tractable framework for antijamming games in aerial attacks

Cited by 4 publications

References 22 publications

A Game Coordination Optimization Algorithm

A Game Coordination Optimization Algorithm

Game Theory in Defence Applications: A Review

Game Theory in defence applications: a review

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