Exploring Information Superiority: A Methodology for Measuring the Quality of Information and Its Impact on Shared AwarenessAssessing how technology contributes to information superiority and decision dominance a major challenge, in part because it demands quantitative measures for what are usually considered qualitative concepts. The authors have developed a mathematical framework to aid these efforts. Additional work, such as data fitting, experimentation, linking decisions and actions, historical analysis, and gaming will further advance knowledge in this area. |
Contents
Chapter One INTRODUCTION | 1 |
Chapter Two THE ANALYTIC FRAMEWORK | 7 |
Chapter Three THE PHYSICAL AND INFORMATION DOMAINS | 21 |
Chapter Four THE COGNITIVE DOMAIN | 55 |
Chapter Five FUTURE WORK | 83 |
Appendix A SOME DEFINITIONS | 87 |
Appendix B CANDIDATE MODELS | 97 |
Appendix C SPREADSHEET MODEL | 121 |
BIBLIOGRAPHY | 135 |
Other editions - View all
Exploring Information Superiority: A Methodology for Measuring the Quality ... No preview available - 2004 |
Common terms and phrases
ability armored assessment attributes automation battlespace central fusion facility classified cognitive domain collaborating team combinations command common ground completeness completeness measure concepts consensus CROP implements decision agents defined definitions degree of shared depends depicted in Figure develop dissemination distance effects ELINT enemy intent enemy units tracked estimate estimation theory example fraction fused CROP fusion center fusion process IMINT individual situational awareness information domain information quality Information Superiority Reference jamming joint Joint Vision 2020 levels of fusion mathematical matrix NCW Conceptual Framework ness network-centric warfare nodes observed CROP operations parameters participants PCMR physical domain Qcom Qcor quality of information RAND receive the CROP relationship reliability represents sensor reports sensor suite shared awareness shared information shared situational awareness Similarity Matrix subdomain Superiority Reference Model target task team hardness team members tion transactive memory system transformation function unit type units detected value chain variance