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

David Enrique Anzola Pinzon, Daniel Rodríguez-Cárdenas

Resultado de la investigación: Contribución a RevistaArtículo

Resumen

Este artículo reproduce y amplía un modelo de transmisión cultural basado en agentes (Acerbi & Parisi, 2006). El modelo original usesartificial redes neuronales para indagar sobre el papel del ruido y la reproducción cultural selectiva en la dinámica de aprendizaje por imitación, tanto en entornos estáticos como dinámicos. La replicación pone a prueba la solidez de los resultados originales, mientras que la extensión se centra en la implementación de un tipo alternativo de aprendizaje: Instrucción directa. Los resultados de la extensión sugieren que este tipo de aprendizaje podría dar lugar a la aparición de rasgos de comportamiento adaptativo a nivel de la población. Debido a su dependencia en la comunicación unidireccional explícita y su menor posibilidad de cuestionar los rasgos transmitidos, la instrucción directa podría aumentar el tiempo que se tarda en llegar a find effective behavioral vari-ants, en comparación con la imitación. Sin embargo, si el límite de que el comportamiento inadecuado de defines es escogido de manera lo suficientemente flexible, una cantidad de variaciones de comportamiento podría ser introducida en el grupo de comportamiento para asegurar el desarrollo de variaciones altamente adaptables. El texto utiliza la implementación de la instrucción directa para discutir el papel de la extensión en el esfuerzo de scientific, especialmente en áreas interdisciplinarias de investigación, tales como la ciencia de la evolución cultural o la ciencia social computacional basada en agentes.
IdiomaEnglish (US)
PublicaciónCognitive Systems Research
DOI
EstadoPublished - jul 30 2018

Citar esto

@article{b0c1a174ff8e4d5594f6e4e69fc42e39,
title = "A model of cultural transmission by direct instruction: An exercise on replication and extension",
abstract = "This article replicates and extends an agent-based model of cultural transmission (Acerbi & Parisi, 2006). The original model usesartificial neural networks to inquire about the role of noise and selective cultural reproduction in imitation learning dynamics, bothfor static and dynamic environments. The replication tests the robustness of the original results, whereas the extension focuses on imple-menting an alternative type of learning: Direct instruction. The results of the extension suggest this type of learning could negativelyaffect the emergence of adaptive behavioral traits at the population level. Because of its reliance on explicit one-way communicationand its reduced chance to question the traits transmitted, direct instruction might increase the time taken to find effective behavioral vari-ants, in comparison with imitation. Yet, if the limit that defines inadequate behavior is chosen loosely enough, a sufficient amount ofbehavioral variations could be introduced in the behavioral pool so to ensure the development of highly adaptive variations. The textuses the implementation of direct instruction to discuss the role of extension in scientific endeavor, especially in interdisciplinary areasof research, such as the science of cultural evolution or agent-based computational social science",
author = "{Anzola Pinzon}, {David Enrique} and Daniel Rodr{\'i}guez-C{\'a}rdenas",
year = "2018",
month = "7",
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doi = "doi.org/10.1016/j.cogsys.2018.07.019",
language = "English (US)",
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A model of cultural transmission by direct instruction: An exercise on replication and extension. / Anzola Pinzon, David Enrique; Rodríguez-Cárdenas, Daniel.

En: Cognitive Systems Research, 30.07.2018.

Resultado de la investigación: Contribución a RevistaArtículo

TY - JOUR

T1 - A model of cultural transmission by direct instruction: An exercise on replication and extension

AU - Anzola Pinzon, David Enrique

AU - Rodríguez-Cárdenas, Daniel

PY - 2018/7/30

Y1 - 2018/7/30

N2 - This article replicates and extends an agent-based model of cultural transmission (Acerbi & Parisi, 2006). The original model usesartificial neural networks to inquire about the role of noise and selective cultural reproduction in imitation learning dynamics, bothfor static and dynamic environments. The replication tests the robustness of the original results, whereas the extension focuses on imple-menting an alternative type of learning: Direct instruction. The results of the extension suggest this type of learning could negativelyaffect the emergence of adaptive behavioral traits at the population level. Because of its reliance on explicit one-way communicationand its reduced chance to question the traits transmitted, direct instruction might increase the time taken to find effective behavioral vari-ants, in comparison with imitation. Yet, if the limit that defines inadequate behavior is chosen loosely enough, a sufficient amount ofbehavioral variations could be introduced in the behavioral pool so to ensure the development of highly adaptive variations. The textuses the implementation of direct instruction to discuss the role of extension in scientific endeavor, especially in interdisciplinary areasof research, such as the science of cultural evolution or agent-based computational social science

AB - This article replicates and extends an agent-based model of cultural transmission (Acerbi & Parisi, 2006). The original model usesartificial neural networks to inquire about the role of noise and selective cultural reproduction in imitation learning dynamics, bothfor static and dynamic environments. The replication tests the robustness of the original results, whereas the extension focuses on imple-menting an alternative type of learning: Direct instruction. The results of the extension suggest this type of learning could negativelyaffect the emergence of adaptive behavioral traits at the population level. Because of its reliance on explicit one-way communicationand its reduced chance to question the traits transmitted, direct instruction might increase the time taken to find effective behavioral vari-ants, in comparison with imitation. Yet, if the limit that defines inadequate behavior is chosen loosely enough, a sufficient amount ofbehavioral variations could be introduced in the behavioral pool so to ensure the development of highly adaptive variations. The textuses the implementation of direct instruction to discuss the role of extension in scientific endeavor, especially in interdisciplinary areasof research, such as the science of cultural evolution or agent-based computational social science

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