Probabilistic inference in human semantic memory
Date
2006
Authors
Steyvers, Mark
Griffiths, Thomas L.
Dennis, Simon John
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Trends in Cognitive Sciences, 2006; 10 (7):327-334
Statement of Responsibility
Mark Steyvers, Thomas L. Griffiths and Simon Dennis
Conference Name
Abstract
The idea of viewing human cognition as a rational solution to computational problems posed by the environment has influenced several recent theories of human memory. The first rational models of memory demonstrated that human memory seems to be remarkably well adapted to environmental statistics but made only minimal assumptions about the form of the environmental information represented in memory. Recently, several probabilistic methods for representing the latent semantic structure of language have been developed, drawing on research in computer science, statistics and computational linguistics. These methods provide a means of extending rational models of memory retrieval to linguistic stimuli, and a way to explore the influence of the statistics of language on human memory.
School/Discipline
School of Psychology