Learning Frames

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Title: Learning Frames
Authors: Daskalova, VesselaVriend, Nicolaas J.
Permanent link: http://hdl.handle.net/10197/12559
Date: Aug-2021
Online since: 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.
Funding Details: 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/Report no.: UCD Centre for Economic Research Working Paper Series; WP2021/18
Copyright (published version): 2021 the Authors
Keywords: Variable frame theoryCoordination gamesCategorizationReinforcement learningFocal pointsBounded rationality
JEL Codes: C63; C72; C91; D91
Language: en
Status of Item: Not peer reviewed
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Geary Institute Research Collection
Economics Working Papers & Policy Papers

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