Framework for Evolutionary Development of an Autonomous Expert System for Acoustically Identifying Classifications of Vessels

Abstract

The development of an autonomous expert system for identifying vessel classifications from passive acoustic spectrograms is the ultimate goal of Artificial Intelligence (AI) work. An evolutionary development is a natural approach since application of AI technology has not yet been placed on an 'engineering' basis and development of complex systems is to some extent still a research endeavor. A framework consisting of a series of practically achievable assistant systems, in which a human operator share the identification task to varying extents, is proposed as a research-oriented basis for the development of a completely autonomous system. Keywords: Signal processed acoustic data, Canada.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1989
Accession Number
ADA206956

Entities

People

  • Robert M. Hayashi

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Autonomous Systems
  • Classification
  • Computer Programs
  • Computers
  • Construction
  • Detection
  • Detectors
  • Expert Systems
  • Hybrid Systems
  • Identification
  • Identification Systems
  • Information Processing
  • Intelligent Systems
  • Security
  • Signal Processing

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Marine Mammal Biology
  • Systems Analysis and Design

Technology Areas

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