A model of cultural transmission by direct instruction: An exercise on replication and extension

This article replicates and extends an agent-based model of cultural transmission (Acerbi and Parisi, 2006). The original model uses artificial neural networks to inquire about the role of noise and selective cultural reproduction in imitation learning dynamics, both for static and dynamic environ...

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Autores Principales: Anzola, David, Rodríguez-Cárdenas D.
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Elsevier B.V. 2018
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/23703
https://doi.org/10.1016/j.cogsys.2018.07.019
id ir-10336-23703
recordtype dspace
spelling ir-10336-237032022-05-02T12:37:13Z A model of cultural transmission by direct instruction: An exercise on replication and extension Anzola, David Rodríguez-Cárdenas D. Autonomous agents Computational methods Neural networks Agent-based model Cultural transmission Direct instruction Extension Replication Social learning Teaching Article Exercise Human Imitation Social learning Sociology Agent-based modeling Cultural transmission Direct instruction Extension Replication Social learning This article replicates and extends an agent-based model of cultural transmission (Acerbi and Parisi, 2006). The original model uses artificial neural networks to inquire about the role of noise and selective cultural reproduction in imitation learning dynamics, both for static and dynamic environments. The replication tests the robustness of the original results, whereas the extension focuses on implementing an alternative type of learning: Direct instruction. The results of the extension suggest this type of learning could negatively affect the emergence of adaptive behavioral traits at the population level. Because of its reliance on explicit one-way communication and its reduced chance to question the traits transmitted, direct instruction might increase the time taken to find effective behavioral variants, in comparison with imitation. Yet, if the limit that defines inadequate behavior is chosen loosely enough, a sufficient amount of behavioral variations could be introduced in the behavioral pool so to ensure the development of highly adaptive variations. The text uses the implementation of direct instruction to discuss the role of extension in scientific endeavor, especially in interdisciplinary areas of research, such as the science of cultural evolution or agent-based computational social science. © 2018 Elsevier B.V. 2018 2020-05-26T00:04:39Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 13890417 https://repository.urosario.edu.co/handle/10336/23703 https://doi.org/10.1016/j.cogsys.2018.07.019 eng info:eu-repo/semantics/openAccess application/pdf Elsevier B.V. instname:Universidad del Rosario
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
topic Autonomous agents
Computational methods
Neural networks
Agent-based model
Cultural transmission
Direct instruction
Extension
Replication
Social learning
Teaching
Article
Exercise
Human
Imitation
Social learning
Sociology
Agent-based modeling
Cultural transmission
Direct instruction
Extension
Replication
Social learning
spellingShingle Autonomous agents
Computational methods
Neural networks
Agent-based model
Cultural transmission
Direct instruction
Extension
Replication
Social learning
Teaching
Article
Exercise
Human
Imitation
Social learning
Sociology
Agent-based modeling
Cultural transmission
Direct instruction
Extension
Replication
Social learning
Anzola, David
Rodríguez-Cárdenas D.
A model of cultural transmission by direct instruction: An exercise on replication and extension
description This article replicates and extends an agent-based model of cultural transmission (Acerbi and Parisi, 2006). The original model uses artificial neural networks to inquire about the role of noise and selective cultural reproduction in imitation learning dynamics, both for static and dynamic environments. The replication tests the robustness of the original results, whereas the extension focuses on implementing an alternative type of learning: Direct instruction. The results of the extension suggest this type of learning could negatively affect the emergence of adaptive behavioral traits at the population level. Because of its reliance on explicit one-way communication and its reduced chance to question the traits transmitted, direct instruction might increase the time taken to find effective behavioral variants, in comparison with imitation. Yet, if the limit that defines inadequate behavior is chosen loosely enough, a sufficient amount of behavioral variations could be introduced in the behavioral pool so to ensure the development of highly adaptive variations. The text uses the implementation of direct instruction to discuss the role of extension in scientific endeavor, especially in interdisciplinary areas of research, such as the science of cultural evolution or agent-based computational social science. © 2018 Elsevier B.V.
format Artículo (Article)
author Anzola, David
Rodríguez-Cárdenas D.
author_facet Anzola, David
Rodríguez-Cárdenas D.
author_sort Anzola, David
title A model of cultural transmission by direct instruction: An exercise on replication and extension
title_short A model of cultural transmission by direct instruction: An exercise on replication and extension
title_full A model of cultural transmission by direct instruction: An exercise on replication and extension
title_fullStr A model of cultural transmission by direct instruction: An exercise on replication and extension
title_full_unstemmed A model of cultural transmission by direct instruction: An exercise on replication and extension
title_sort model of cultural transmission by direct instruction: an exercise on replication and extension
publisher Elsevier B.V.
publishDate 2018
url https://repository.urosario.edu.co/handle/10336/23703
https://doi.org/10.1016/j.cogsys.2018.07.019
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score 12,131701