Accession Number:

ADA055092

Title:

Learning by Creating and Justifying Transfer Frames,

Descriptive Note:

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB

Personal Author(s):

Report Date:

1977-04-01

Pagination or Media Count:

38.0

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 teachers 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

Subject Categories:

  • Psychology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE