Simple first: A skeleton for an evaluative learning model

Yoav Bar-Anan; Tal Moran

doi:10.5964/spb.v13i3.28761

Simple first: A skeleton for an evaluative learning model

Yoav Bar-Anan, Tal Moran

Research output: Contribution to journal › Review article › peer-review

Abstract

Simple first is our name for a set of hypotheses that we have found useful in our research on evaluative learning. The hypotheses are: (1) It is easier to encode and retrieve information that two concepts are linked than information about how they are linked; (2) It is easier to store and retrieve information than to make an inference based on that information; (3) When people encounter an object and memory activates valence that is mentally linked to that object, they consider the activation valid evidence that the activated valence characterizes the object. We demonstrate how these hypotheses generate useful assumptions about Evaluative Conditioning, and open paths for further research on evaluative learning and evaluation.

Original language	American English
Article number	e28761
Pages (from-to)	1-23
Journal	Social Psychological Bulletin
Volume	13
Issue number	3
DOIs	https://doi.org/10.5964/spb.v13i3.28761 https://doi.org/10.5964/spb.v13i3.28761
State	Published - 20 Sep 2018
Externally published	Yes

Bibliographical note

Funding Information:
Information about funding: this work was supported by the Israeli Science Foundation [grant number 779/16]; the United States-Israel Binational Science Foundation [grant number 2013214]; and Project Implicit, Inc., awarded to Y. B.-A.

Publisher Copyright:
© 2018 PsychOpen. All right reserved.

Keywords

Associative Learning
Automatic Evaluation
Evaluative Conditioning
Evaluative Learning
Relational Information

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Simple first: A skeleton for an evaluative learning model

Abstract

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Keywords

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