亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

A review of attacker-defender games: Current state and paths forward

计算机科学 启发式 对抗制 领域(数学) 博弈论 国家(计算机科学) 光学(聚焦) 管理科学 运筹学 数理经济学 人工智能 算法 经济 工程类 物理 光学 操作系统 纯数学 数学
作者
Kyle Hunt,Jun Zhuang
出处
期刊:European Journal of Operational Research [Elsevier]
卷期号:313 (2): 401-417 被引量:44
标识
DOI:10.1016/j.ejor.2023.04.009
摘要

In this article, we review the literature which proposes attacker-defender games to protect against strategic adversarial threats. More specifically, we follow the systematic literature review methodology to collect and review 127 journal articles that have been published over the past 15 years. We start by briefly discussing the common application areas that are addressed in the literature, although our focus in this review lies heavily in the approaches that have been adopted to model and solve attacker-defender games. In studying these approaches, we begin by analyzing the following features of the proposed game formulations: the sequence of moves, number of players, nature of decision variables and objective functions, and time horizons. We then analyze the common assumptions of perfect rationality, risk neutrality, and complete information that are enforced within the majority of the articles, and report on state-of-the-art research which has begun relaxing these assumptions. We find that relaxing these assumptions presents further challenges, such as enforcing new assumptions regarding how uncertainties are modeled, and issues with intractability when models are reformulated to account for considerations such as risk preferences. Finally, we examine the methods that have been adopted to solve attacker-defender games. We find that the majority of the articles obtain closed-form solutions to their models, while there are also many articles that developed novel solution algorithms and heuristics. Upon synthesizing and analyzing the literature, we expose open questions in the field, and present promising future research directions that can advance current knowledge.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
建议保存本图,每天支付宝扫一扫(相册选取)领红包
实时播报
南音发布了新的文献求助10
3秒前
852应助hh采纳,获得30
20秒前
51秒前
52秒前
hh发布了新的文献求助30
55秒前
浮游应助科研通管家采纳,获得10
58秒前
浮游应助科研通管家采纳,获得10
58秒前
浮游应助科研通管家采纳,获得10
58秒前
浮游应助科研通管家采纳,获得10
58秒前
浮游应助科研通管家采纳,获得10
58秒前
浮游应助科研通管家采纳,获得10
58秒前
58秒前
852应助hh采纳,获得30
1分钟前
1分钟前
1分钟前
hh发布了新的文献求助30
1分钟前
搜集达人应助秋来九月八采纳,获得10
1分钟前
1分钟前
1分钟前
Chocolat_Chaud完成签到,获得积分10
1分钟前
刘冬晴发布了新的文献求助10
2分钟前
又绿发布了新的文献求助10
2分钟前
zhang完成签到,获得积分10
2分钟前
非洲大象完成签到,获得积分10
2分钟前
2分钟前
浮游应助科研通管家采纳,获得10
2分钟前
浮游应助科研通管家采纳,获得10
2分钟前
烟花应助科研通管家采纳,获得10
2分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
浮游应助科研通管家采纳,获得10
2分钟前
浮游应助科研通管家采纳,获得10
2分钟前
浮游应助科研通管家采纳,获得10
2分钟前
无限暖暖发布了新的文献求助10
3分钟前
3分钟前
hh完成签到,获得积分10
3分钟前
JIANHUAN完成签到 ,获得积分10
3分钟前
泥娃娃完成签到,获得积分10
4分钟前
蔚欢完成签到 ,获得积分10
4分钟前
CJH104完成签到 ,获得积分10
4分钟前
4分钟前
高分求助中
Learning and Memory: A Comprehensive Reference 2000
Predation in the Hymenoptera: An Evolutionary Perspective 1800
List of 1,091 Public Pension Profiles by Region 1541
The Jasper Project 800
Holistic Discourse Analysis 600
Beyond the sentence: discourse and sentential form / edited by Jessica R. Wirth 600
Binary Alloy Phase Diagrams, 2nd Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5502902
求助须知:如何正确求助?哪些是违规求助? 4598594
关于积分的说明 14464661
捐赠科研通 4532215
什么是DOI,文献DOI怎么找? 2483863
邀请新用户注册赠送积分活动 1467072
关于科研通互助平台的介绍 1439745