A Collision-Prevention Expert System for a Navy Officer of the Deck.

Abstract

The goal of this thesis is to automate recommendations to the Officer of the Deck when decisions are made concerning situations that involve risk of collision. A rule based expert system is designed and implemented as a solution to this task. The rules are based on regulations in the U.S. Coast Guard manual, Navigation Rules International-Inland. The expert system receives facts that describe the current situation, then searches the rule base for matching rules. The searching method is a hybrid form of forward chaining that searches cyclically through the rule base until all matches, intermediate and final, are located. The conclusions of the matching rules are displayed as a recommendation to the system user. The resulting system provides a valuable input to the Officer of the Deck, serving to increase the speed and reliability of the final decision by removing the necessity of manually looking up regulations or relying on memorization. Keywords: Nautical navigation regulations; Artificial intelligence; Theses.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1987
Accession Number
ADA181819

Entities

People

  • Terry W. Lewallen

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acoustic Signals
  • Artificial Intelligence
  • Collisions
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Control Systems
  • Expert Systems
  • Inference Engines
  • Navigation
  • Operating Systems
  • Schools
  • Standards
  • Target Angle
  • United States
  • User Interface

Readers

  • Computer Science.
  • Maritime Security/Maritime Homeland Security
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Information Retrieval