Learning and Inductive Inference

Abstract

The main results of the report are: (a) a simple model that serves to generate a taxonomy of learning systems, (b) the explication and clarification of four methods of learning single concepts, (c) some understanding of the underlying causes of the credit-assignment problem (and possible solutions), and (d) some identification of open research problems and areas that have received little attention. The report is structured as a set of articles. Seven of the articles present the main problems and issues in learning research, while the remaining fifteen articles describe particular learning systems that have been developed.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1982
Accession Number
ADA122351

Entities

People

  • Bob London
  • Geoff Dromey
  • Kenneth Clarkson
  • Thomas G. Dietterich

Organizations

  • Stanford University

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Cyber
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Science
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Debugging
  • Grammars
  • Information Processing
  • Language
  • Machine Learning
  • Pattern Recognition
  • Psychology
  • Self Organizing Systems
  • Theorems

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks