Fidelity of Modeling, Simulation, and Analysis to Support Air Force Decision Making

Abstract

The SAB Study Panel recommends the Air Force create, manage, and maintain a central, authoritative, accessible repository for MS and A-relevant data. These fully-informed data will facilitate analyses at all levels of resolution and increase the speed and fidelity of campaign-level MS and A. The Air Force should also implement models for red, blue, and gray offensive and defensive operations in space and cyber domains, in order to provide campaign-level analyses with the appropriate fidelity. To efficiently achieve improved campaign-level MS and A, the study panel recommends development or adaptation of an open architecture framework amenable to straightforward representation of all domains at the appropriate level of fidelity. To better leverage the breadth of the analysis community, this framework, incorporating tools, and data, need to be readily available to industry as a government-owned and freely distributed managed capability with a crowd-sourcing development paradigm. Additionally, the study panel recommends the Air Force initiate substantive science and technology development efforts to enhance multi-domain model representation, aggregation uncertainty estimation, and machine-based (Artificial Intelligence/Machine Learning) strategy discovery. Finally, the Air Force must move to a continuous analysis process to keep pace with the rapidly evolving warfighting landscape.

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Document Details

Document Type
Technical Report
Publication Date
Aug 13, 2019
Accession Number
AD1147294

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Air Force
  • Applied Computer Science
  • Artificial Intelligence
  • Buildings And Structures
  • Communities
  • Complex Systems
  • Computer Science
  • Force Structure
  • Governments
  • Integrated Systems
  • Machine Learning
  • Reliability
  • Simulations
  • Storage
  • Test And Evaluation
  • Uncertainty

Readers

  • Distributed Systems and Data Platform Development
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Strategic Security Studies

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Cyber
  • Space