Identifying appropriate scenario termination rules for squad-level simulations of warfighter lethality

Author:

Biggs Adam T12ORCID,Hamilton Joseph A23,Markwald Rachel R2

Affiliation:

1. Naval Special Warfare Command, USA

2. Naval Health Research Center, USA

3. Hamilton Strategic Solutions, USA

Abstract

Small arms combat simulations are emerging as a method to convert raw human performance metrics into quantifiable lethality outcomes. Specifically, speed and accuracy measures can be directly converted into a percentage chance of winning a gunfight using small arms combat modeling. Although the technique provides an opportunity to clearly communicate implications to a military audience, there are numerous assumptions to this modeling technique that require further exploration. One critical assumption involves the termination rule, or criterion to identify when the combat simulation should end. The termination rule must be clearly identified because it will impact the casualties inflicted and suffered by each side during simulation. Here, we discuss the implications of three broad categories of termination rules: (1) total victory, (2) retreat criteria, and (3) resource limitations. Each approach has different scenarios that might be more or less advantageous to use as a termination rule. Taken together, this information should help improve lethality modeling procedures using different simulation techniques to convert human performance metrics into quantifiable chances of winning a combat engagement.

Funder

Office of Naval Research

Publisher

SAGE Publications

Subject

Engineering (miscellaneous),Modeling and Simulation

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3