Learning by Creating and Justifying Transfer Frames,

Abstract

Learning is defined to be the computation done by a student when there is a transfer of information to him from a teacher. In the particular kind of learning discussed, the teacher names a source and a destination. In the sentence, 'Robbie is like a fox,' fox is the source and Robbie is the destination. The student, on analyzing the teacher's instruction, computes a kind of filter called a transfer frame. It stands between the source and the destination and determines what information is allowed to pass from one to the other. Computing the transfer frame requires two steps: hypothesis and evaluation. In the hypothesis step, potentially useful transfer frames are produced through an analysis of the information in the source and its immediate relatives. For Robbie, a robot, the way it compares with other robots would be noted. In the evaluation step, the better of the hypothesized frames are selected through a study of the destination frame, its relatives, and the general context. Some source-destination pairs may be generated by the student acting alone. There is also the possibility of making notes that are useful in deciding if conclusion makes sense. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1977
Accession Number
ADA055092

Entities

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  • Patrick Winston

Organizations

  • Massachusetts Institute of Technology

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Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Animals
  • Application Software
  • Artificial Intelligence
  • Bricks
  • Cognitive Science
  • Computations
  • Computer Programs
  • Computer Vision
  • Computers
  • Information Processing
  • Instructions
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  • Computational Linguistics
  • Computer Networking
  • Instructional Design and Training Evaluation.

Technology Areas

  • AI & ML
  • Autonomy