The role of runs in probability learning.
- 1 January 1966
- journal article
- Published by American Psychological Association (APA) in Journal of Experimental Psychology
- Vol. 72 (5) , 751-760
- https://doi.org/10.1037/h0023757
Abstract
3 probability-learning experiments were run to test predictions made by 2 models: (1) the run model developed by Restle, and (2) the K-span model, an extension of a model proposed by Burke and Estes. The k-span model assumes that, on each trial, S remembers a fixed number of the preceding events. The run model assumes that S remembers the run in progress, i.e., the last event and the number of such events that have occurred since the last event alternation. Although neither accounted for all of the findings, the predictions derived from the run model were considerably more accurate. (27 ref.) (PsycINFO Database Record (c) 2006 APA, all rights reserved)Keywords
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