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

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Summary

Review Article

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.

Key Hypotheses
Links with Stimuli and Responses
Automatic and Deliberate Processes at Acquisition
Automatic Evaluative Response
Deliberate Evaluative Response
Correspondence and Discrepancy between Automatic and Deliberate Evaluation
The Role of Awareness
The Role of Relational Qualifiers
EC by Instruction
What Pairing Schedules Lead to EC?
Individual Differences in EC
Predictions Summary
Simple First and other Models
Full Text
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