Exploiting Kasparov's Law: Enhanced Information Systems Integration in DOD Simulation-Based Training Environments

Abstract

Despite recent advances in the representation of logistics considerations in DOD staff training and wargaming simulations, logistics information systems (IS) remain underrepresented. Unlike many command and control (C2) systems, which can be integrated with simulations through common protocols (e.g., OTH-Gold),many logistics ISs require manpower-intensive human-in-the-loop (HitL) processes for simulation-IS (sim-IS)integration. Where automated sim-IS integration has been achieved, it often does not simulate important sociotechnical system (STS) dynamics, such as information latency and human error, presenting decision-makers with an unrealistic representation of logistics C2 capabilities in context. This research seeks to overcome the limitations of conventional sim-IS interoperability approaches by developing and validating a new approach for sim-IS information exchange through robotic process automation (RPA). RPA software supports the automation of IS information exchange through ISs existing graphical user interfaces. This outside-in approach to ISintegration mitigates the need for engineering changes in ISs (or simulations) for automated information exchange. In addition to validating the potential for an RPA-based approach to sim-IS integration, this research presents recommendations for a Distributed Simulation Engineering and Execution Process (DSEEP) overlay to guide the engineering and execution of sim-IS environments.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2022
Accession Number
AD1201625

Entities

People

  • Matthew M. Morse

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • C4I
  • Cyber
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Business Administration
  • Cognitive Science
  • Cognitive Systems Engineering
  • Engineers
  • Human Systems Integration
  • Human-Machine Systems
  • Information Processing
  • Information Science
  • Information Systems
  • Management Personnel
  • Military Organizations
  • Operations Research
  • Organizational Structure
  • Personnel Management
  • Psychology
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Fully Networked C3
  • Fully Networked C3 - Command and Control