The S2 Automated Agent (S2A2): A Training Aid for Commanders and Intelligence Officers

Abstract

Although most leaders have a very solid background on the decision making process, training is still required to maintain and perfect their skills. While decision makers and their staff can collectively train using computer simulations, there currently is no tool that allows the decision maker to train in isolation on the decision making process. If a decision maker is to train in complete isolation without involving any of his staff then there is a requirement to use artificial intelligence and its techniques to model the functions of the decision maker's staff. This research models some of the functions of one of the most critical staff officers in the United States Army, the military intelligence officer (S2). There have been many uses of artificial intelligence to support military operations, but there have been none to date that are proven to replicate the functions of an S2 during the processing phase of the intelligence cycle. This research begins the creation of an S2 automated agent (S2A2) that allows the commander to implement war plans and see the results of those plans. Systems model for both the learning environment and the S2A2 are developed. The S2A2 enables the commander to fight a simulated battle and receive intelligence reports and analysis so that he can modify his plan according to the enemy's course of action. Further a S2A2 created in the research would not require that the actual human S2 be present if the S2A2 is set up by the S2 prior to the use by the commander. The S2A2 is an expert system shell designed to operate in a Janus battlefield simulation and replicate the cognitive processes used by an S2 when making an intelligence assessment. The fundamental principle of the S2A2 is the decomposing of a complex problem, such as determining an enemy course of action, into smaller, more manageable situational indicators.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA363075

Entities

People

  • John T. Janiszewski

Organizations

  • University of Central Florida

Tags

Communities of Interest

  • Autonomy
  • Electronic Warfare
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognition
  • Computer Programming
  • Computer Programs
  • Computers
  • Graphical User Interface
  • Information Systems
  • Intelligence Collection
  • Intelligence Cycle
  • Lessons Learned
  • Operating Systems
  • Personnel Management
  • Surveillance
  • United States
  • User Interface
  • Verification Tests
  • Warfare

Readers

  • Computational Modeling and Simulation
  • Maritime Combat Support and Expeditionary Logistics.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy