
Does learning history shape the associability of outcomes? Further tests of the outcome predictability effect
Author(s) -
Wei Liu,
Evan J. Livesey,
Harald Lachnit,
Hilary J. Don,
Anna Thorwart
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0243434
Subject(s) - predictability , outcome (game theory) , generality , contrast (vision) , computer science , cognitive psychology , associative learning , artificial intelligence , machine learning , psychology , statistics , mathematics , mathematical economics , psychotherapist
In recent years, several studies of human predictive learning demonstrated better learning about outcomes that have previously been experienced as consistently predictable compared to outcomes previously experienced as less predictable, namely the outcome predictability effect . As this effect may have wide-reaching implications for current theories of associative learning, the present study aimed to examine the generality of the effect with a human goal-tracking paradigm, employing three different designs to manipulate the predictability of outcomes in an initial training phase. In contrast to the previous studies, learning in a subsequent phase, when every outcome was equally predictable by novel cues, was not reliably affected by the outcomes’ predictability in the first phase. This lack of an outcome predictability effect provides insights into the parameters of the effect and its underlying mechanisms.