Accession Number:

ADA286291

Title:

MAC/FAC: A Model of Similarity-Based Retrieval

Descriptive Note:

Technical rept. 1 Sep 89-31 Oct 92,

Corporate Author:

NORTHWESTERN UNIV EVANSTON IL INST FOR THE LEARNING SCIENCES

Report Date:

1994-10-01

Pagination or Media Count:

67.0

Abstract:

We present a model of similarity-based retrieval that attempts to capture these seemingly contradictory psychological phenomena 1 structural commonalities are weighed more heavily than surface commonalities in soundness or similarity judgments when both members are present 2 superficial similarity is more important in retrieval from long-term memory than is structural similarity and yet 3 purely structural analogical remindings are sometimes experienced. Our model, called MACFAC for many are called but few are chosen consists of two stages. The first stage MAC uses a computationally cheap, non-structured matcher to filter candidates from a pool of memory items. We redundantly encode structured representations as content vectors, whose dot product yields an estimate of how well the corresponding structural representations will match. The second stage FAC uses SME to compute a true structural match between the probe and output from the first stage. MACFAC has been fully implemented and tested on dozens of examples. We show that MACFAC is capable of modeling patterns of access found in psychological data, and illustrative via sensitivity analyses that these results exhibit the desired dependence on theoretically important factors. The relationship of MACFAC to other models of memory is discussed, along with implications and possible extensions.

Subject Categories:

  • Psychology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE