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Learning Frames
Author(s)
Date Issued
2021-08
Date Available
2021-10-19T10:55:06Z
Abstract
Players may categorize the strategies available to them. In many games there are different ways to categorize one's strategies (different frames) and which ones players use has implications for the outcomes realized. This paper proposes a model of agents who learn which frames to use through reinforcement. As a case study we fit the model to existing experimental data from coordination games. The analysis shows that the model fits the data well as it matches the key stylized facts. It suggests a trade-off of using coarser versus finer representations of the strategy set when it comes to learning.
Other Sponsorship
Agence Nationale de la Recherche (ANR)
Ireland and Toulouse School of Economics (IAST)
Cambridge-INET
Type of Material
Working Paper
Publisher
University College Dublin. School of Economics
Start Page
1
End Page
40
Series
UCD Centre for Economic Research Working Paper Series
WP2021/18
Copyright (Published Version)
2021 the Authors
Classification
C63
C72
C91
D91
Language
English
Status of Item
Not peer reviewed
This item is made available under a Creative Commons License
File(s)
Owning collection
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