Abstract
Simple firstis 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.
Highlights
Relational information is the information that two concepts are linked in a specific way
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
Summary
Handling editor: Robert Balas (Polish Academy of Sciences, Warsaw, Poland) Received: 31 July 2018 Accepted: 8 August 2018 Published: 20 September 2018 Citation: Bar-Anan Y. Simple First: A Skeleton for an Evaluative Learning Model.
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