top banner top banner
index
RegularArticles
ReplicationStudies
EditorialBoard
Instructions4Authors
JournalGuidelines
Messages
Submission

Search publications

Human learning: Power laws or multiple characteristic time scales?

Full text PDF
Bibliographic information: BibTEX format RIS format XML format APA style
Cited references information: BibTEX format APA style
Doi: 10.20982/tqmp.02.2.p066

Newell, Karl M. , Mayer-Kress, Gottfried , Liu, Yeou-The
66-76
Keywords: Power law , Superposition of exponential curves
(no sample data)   (no appendix)

The central proposal of A. Newell and Rosenbloom (1981) was that the power law is the ubiquitous law of learning. This proposition is discussed in the context of the key factors that led to the acceptance of the power law as the function of learning. We then outline the principles of an epigenetic landscape framework for considering the role of the characteristic time scales of learning and an approach to system identification of the processes of performance dynamics. In this view, the change of performance over time is the product of a superposition of characteristic exponential time scales that reflect the influence of different processes. This theoretical approach can reproduce the traditional power law of practice – within the experimental resolution of performance data sets - but we hypothesize that this function may prove to be a special and perhaps idealized case of learning.


Pages © TQMP;
Template last modified: 2017-27-09.
Page consulted on .
Be informed of the upcoming issues with RSS feed: RSS icon RSS