Seamless Integration of Knowledge Acquisition for Autonomous Systems by Domain Users with Prudence Capability

Abstract

Knowledge-based systems are typically constrained by their ability to acquire new knowledge without the intercession of a technical knowledge engineer. This introduces a fundamental disconnect between the system and the domain expert - even if a knowledge acquisition interface is provided, the domain expert is usually highly constrained in their expressiveness and ability to train the system due to technology-specific implementation.

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Document Details

Document Type
Technical Report
Publication Date
Sep 12, 2018
Accession Number
AD1077152

Entities

People

  • Byeong H. Kang
  • Caren Han
  • David Herbert

Organizations

  • University of Tasmania

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Automated Speech Recognition
  • Autonomous Systems
  • Classification
  • Computer Languages
  • Computer Programming
  • Computers
  • Electronic Mail
  • Engineering
  • Expert Systems
  • Feedback
  • Inference Engines
  • Information Systems
  • Knowledge Based Systems
  • Language
  • Machine Learning
  • Natural Languages
  • Operating Systems
  • Recognition
  • Scientific Research
  • Simultaneous Localization And Mapping
  • Software Development
  • Standards
  • World Wide Web

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Software Engineering.

Technology Areas

  • Autonomy