A Quantitative Framework for the Road-mapping of Autonomous Defense Technologies

被引：0
|
作者：
Peterson, Lukas [1 ]
Berntsson, Isak [1 ]
Modeer, Marina Rantanen [2 ]
机构：
[1] Linkoping Univ, Dept Management & Ind Engn, Linkoping, Sweden
[2] Saab AB, Linkoping, Sweden
来源：
18TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE, SYSCON 2024 | 2024年
关键词：
technology roadmapping; game theory; saddle point optimization; Salvo combat model;
D O I：
10.1109/SysCon61195.2024.10553557
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Technology roadmapping serves as a strategic tool to support robust methods of allocating resources across various technological domains. This study introduces a game-theoretic model to simulate the evolutionary trajectories of autonomous defense systems, steered by the investment decisions of two competing sovereign actors within a shared strategic environment. The model identifies optimal strategies for technological advancement, represented by equilibrium states in a zero-sum military simulation. To approximate the selection of these optimal pathways, Local Symplectic Surgery (LSS) is employed, with its payoff evaluated by the likelihood of victory in simulated combat scenarios. Finally, a case is studied to demonstrate the feasibility of the proposed approach.
引用
收藏
页数：7
相关论文
共 50 条
12345