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The Probabilistic Mind:Prospects for Bayesian cognitive science$
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Nick Chater and Mike Oaksford

Print publication date: 2008

Print ISBN-13: 9780199216093

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780199216093.001.0001

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Rational analysis as a link between human memory and information retrieval

Rational analysis as a link between human memory and information retrieval

Chapter:
(p.329) Chapter 15 Rational analysis as a link between human memory and information retrieval
Source:
The Probabilistic Mind:
Author(s):

Mark Steyvers

Thomas L. Griffiths

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199216093.003.0015

This chapter provides a complementary Bayesian analysis of the problem of memory retrieval. A Bayesian model that is able both to classify words into semantically coherent groups, merely from observing their co-occurrence patterns in texts, is used as the basis for understanding aspects not only of how some linguistic categories might be created, but also how relevant information can be retrieved, using probabilistic principles. This work can be viewed as a natural follow-on from Anderson and colleagues' pioneering rational analyses of memory (Anderson & Milson, 1989; Anderson & Schooler, 1991). This chapter uses innovations in information retrieval as a way to explore the connections between research on human memory and information retrieval systems. It also provides an example of how cognitive research can help information retrieval research by formalizing theories of knowledge and memory organization that have been proposed by cognitive psychologists.

Keywords:   Bayesian analysis, memory retrieval, human memory, information retrieval, knowledge, memory organization, cognitive psychologists

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