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Estimating a Path through a Map of Decision Making

Studies of the evolution of collective behavior consider the payoffs of individual versus social learning. We have previously proposed that the relative magnitude of social versus individual learning could be compared against the transparency of payoff, also known as the “transparency” of the decisi...

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Detalles Bibliográficos
Autores principales: Brock, William A., Bentley, R. Alexander, O'Brien, Michael J., Caiado, Camilia C. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219699/
https://www.ncbi.nlm.nih.gov/pubmed/25369369
http://dx.doi.org/10.1371/journal.pone.0111022
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author Brock, William A.
Bentley, R. Alexander
O'Brien, Michael J.
Caiado, Camilia C. S.
author_facet Brock, William A.
Bentley, R. Alexander
O'Brien, Michael J.
Caiado, Camilia C. S.
author_sort Brock, William A.
collection PubMed
description Studies of the evolution of collective behavior consider the payoffs of individual versus social learning. We have previously proposed that the relative magnitude of social versus individual learning could be compared against the transparency of payoff, also known as the “transparency” of the decision, through a heuristic, two-dimensional map. Moving from west to east, the estimated strength of social influence increases. As the decision maker proceeds from south to north, transparency of choice increases, and it becomes easier to identify the best choice itself and/or the best social role model from whom to learn (depending on position on east–west axis). Here we show how to parameterize the functions that underlie the map, how to estimate these functions, and thus how to describe estimated paths through the map. We develop estimation methods on artificial data sets and discuss real-world applications such as modeling changes in health decisions.
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spelling pubmed-42196992014-11-12 Estimating a Path through a Map of Decision Making Brock, William A. Bentley, R. Alexander O'Brien, Michael J. Caiado, Camilia C. S. PLoS One Research Article Studies of the evolution of collective behavior consider the payoffs of individual versus social learning. We have previously proposed that the relative magnitude of social versus individual learning could be compared against the transparency of payoff, also known as the “transparency” of the decision, through a heuristic, two-dimensional map. Moving from west to east, the estimated strength of social influence increases. As the decision maker proceeds from south to north, transparency of choice increases, and it becomes easier to identify the best choice itself and/or the best social role model from whom to learn (depending on position on east–west axis). Here we show how to parameterize the functions that underlie the map, how to estimate these functions, and thus how to describe estimated paths through the map. We develop estimation methods on artificial data sets and discuss real-world applications such as modeling changes in health decisions. Public Library of Science 2014-11-04 /pmc/articles/PMC4219699/ /pubmed/25369369 http://dx.doi.org/10.1371/journal.pone.0111022 Text en © 2014 Brock et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Brock, William A.
Bentley, R. Alexander
O'Brien, Michael J.
Caiado, Camilia C. S.
Estimating a Path through a Map of Decision Making
title Estimating a Path through a Map of Decision Making
title_full Estimating a Path through a Map of Decision Making
title_fullStr Estimating a Path through a Map of Decision Making
title_full_unstemmed Estimating a Path through a Map of Decision Making
title_short Estimating a Path through a Map of Decision Making
title_sort estimating a path through a map of decision making
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219699/
https://www.ncbi.nlm.nih.gov/pubmed/25369369
http://dx.doi.org/10.1371/journal.pone.0111022
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