Rule-Based Expert Systems in the Command Estimate: An Operational Perspective
Abstract
This study is an analysis of how the branch of artificial intelligence known as rule-based expert systems can be used to assist in the performance of the command estimate as prescribed in Command and General Staff College Student Text 100-9, The Command Estimate. Current command and control systems are analyzed to determine why battlefield information management is not successful. Trends in civilian decision aids for corporate executives are introduced and contrasted with military requirements. The capabilities of rule- based systems are discussed and a base line for their use in the command estimate is introduced. Observations of the command estimate made by the Center for Army Lessons Learned (CALL) and the Army Research Institute for the Behavioral and Social Sciences (ARI) are analyzed to determine areas of the command estimate that can benefit from assistance with rule-based systems. A detailed examination of the flow of information through the command estimate process is conducted using techniques of systems analysis. Additionally, the Intelligence Preparation of the Battlefield (IPB) is analyzed using the same methodology. This study of the information flows and the types of information managed by each process indicates areas that can be enhanced with assistance by rule-based systems.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1990
- Accession Number
- ADA227333
Entities
People
- Timothy R. Puckett
Organizations
- United States Army Command and General Staff College