Model Driven Experimentation

Abstract

Experiments with teams of human subjects in which they carry out realistic decision-making tasks are difficult to design and control. There are many variables, each one with a wide range of values. The use of detailed executable models in the design of experiments is perceived as one feasible approach to address these issues. A process for the use of modeling and simulation in the design of complex experiments that address command and control issues is described; the approach is then generalized to address series of experiments. The current theoretical and experimental research effort on Adaptive Architectures for Command and Control (A2C2) is used to illustrate the approach.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA521042

Entities

People

  • Alexander H. Levis
  • W. S. Vaughan

Organizations

  • George Mason University

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Amphibious Operations
  • Command And Control
  • Control Theory
  • Economic Models
  • Environment
  • Experimental Data
  • Hypotheses
  • Information Operations
  • Military Operations
  • Military Research
  • Predictive Modeling
  • Simulations
  • Spiral Development
  • Task Forces
  • Transport Aircraft

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Systems Analysis and Design

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control