The Choice of Learning Strategy in an Autonomous System.

Abstract

Machine learning is a relatively new field within artificial intelligence. Most of the work to date has concentrated on individual learning strategies. Autonomous systems such as robots, however, require a variety of techniques. This report addresses the problem of strategy choice within a multistrategy system. Learning techniques are first categorized along five dimensions. Afterwards, a description is given of potential sources of constraints on the choice of strategy. Finally, existing learning systems that use multiple strategies are critiqued. Keywords: Robotics.

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Document Details

Document Type
Technical Report
Publication Date
Oct 05, 1987
Accession Number
ADA187707

Entities

People

  • Diana F. Gordon

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Autonomous Agents
  • Autonomous Systems
  • Cognition
  • Cognitive Science
  • Computer Science
  • Concept Formation
  • Fire Extinguishers
  • Genetic Algorithms
  • Information Systems
  • Language
  • Machine Learning
  • Materials
  • Reasoning
  • Scientific Theories
  • Self Organizing Systems

Readers

  • Artificial Intelligence
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control