Representación del des-aprendizaje en los sistemas de innovación: Una propuesta desde la modelación basada en agentes

Santiago Quintero Ramírez; Walter Lugo Ruiz Castañeda; Jorge Robledo Velásquez

doi:10.1016/j.estger.2017.11.003

Representación del des-aprendizaje en los sistemas de innovación: Una propuesta desde la modelación basada en agentes

Santiago Quintero Ramírez, Walter Lugo Ruiz Castañeda, Jorge Robledo Velásquez

Resultado de la investigación: Contribución a una revista › Artículo › revisión exhaustiva

2 Citas (Scopus)

Resumen

In the present work it is understood the unlearning as the voluntary effort made by firms to abandon the capacities that are not necessary to compete in an innovation system. Modeling and simulating unlearning makes it possible to know emerging behaviors resulting not only from learning, but also from agents unlearning who try to adapt to other agents and the competitive environment. The objective of this work is to represent and analyze the unlearning from the agent-based methodology. As conclusion, a model representing unlearning as a negative variation in capacities accumulation was obtained, which according to its speed, has a different impact on the performance of the innovation system.

Título traducido de la contribución	Representation of unlearning in the innovation systems: A proposal from agent-based modeling
Idioma original	Español
Páginas (desde-hasta)	366-376
Número de páginas	11
Publicación	Estudios Gerenciales
Volumen	33
N.º	145
DOI	https://doi.org/10.1016/j.estger.2017.11.003
Estado	Publicada - 2017

Nota bibliográfica

Publisher Copyright:
© 2017 Universidad ICESI. Published by Elsevier España, S.L.U. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Palabras clave

Agent-based model
Capabilities
Learning
Performance
Unlearning

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10.1016/j.estger.2017.11.003

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@article{734a18848c0b4c9cabeebdcb2718456e,

title = "Representaci{\'o}n del des-aprendizaje en los sistemas de innovaci{\'o}n: Una propuesta desde la modelaci{\'o}n basada en agentes",

abstract = "In the present work it is understood the unlearning as the voluntary effort made by firms to abandon the capacities that are not necessary to compete in an innovation system. Modeling and simulating unlearning makes it possible to know emerging behaviors resulting not only from learning, but also from agents unlearning who try to adapt to other agents and the competitive environment. The objective of this work is to represent and analyze the unlearning from the agent-based methodology. As conclusion, a model representing unlearning as a negative variation in capacities accumulation was obtained, which according to its speed, has a different impact on the performance of the innovation system.",

keywords = "Agent-based model, Capabilities, Learning, Performance, Unlearning",

author = "Ram{\'i}rez, {Santiago Quintero} and Casta{\~n}eda, {Walter Lugo Ruiz} and Vel{\'a}squez, {Jorge Robledo}",

note = "Publisher Copyright: {\textcopyright} 2017 Universidad ICESI. Published by Elsevier Espa{\~n}a, S.L.U. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).",

year = "2017",

doi = "10.1016/j.estger.2017.11.003",

language = "Espa{\~n}ol",

volume = "33",

pages = "366--376",

journal = "Estudios Gerenciales",

issn = "0123-5923",

number = "145",

}

Representación del des-aprendizaje en los sistemas de innovación : Una propuesta desde la modelación basada en agentes. / Ramírez, Santiago Quintero; Castañeda, Walter Lugo Ruiz; Velásquez, Jorge Robledo.

En: Estudios Gerenciales, Vol. 33, N.º 145, 2017, p. 366-376.

Resultado de la investigación: Contribución a una revista › Artículo › revisión exhaustiva

TY - JOUR

T1 - Representación del des-aprendizaje en los sistemas de innovación

T2 - Una propuesta desde la modelación basada en agentes

AU - Ramírez, Santiago Quintero

AU - Castañeda, Walter Lugo Ruiz

AU - Velásquez, Jorge Robledo

PY - 2017

Y1 - 2017

N2 - In the present work it is understood the unlearning as the voluntary effort made by firms to abandon the capacities that are not necessary to compete in an innovation system. Modeling and simulating unlearning makes it possible to know emerging behaviors resulting not only from learning, but also from agents unlearning who try to adapt to other agents and the competitive environment. The objective of this work is to represent and analyze the unlearning from the agent-based methodology. As conclusion, a model representing unlearning as a negative variation in capacities accumulation was obtained, which according to its speed, has a different impact on the performance of the innovation system.

AB - In the present work it is understood the unlearning as the voluntary effort made by firms to abandon the capacities that are not necessary to compete in an innovation system. Modeling and simulating unlearning makes it possible to know emerging behaviors resulting not only from learning, but also from agents unlearning who try to adapt to other agents and the competitive environment. The objective of this work is to represent and analyze the unlearning from the agent-based methodology. As conclusion, a model representing unlearning as a negative variation in capacities accumulation was obtained, which according to its speed, has a different impact on the performance of the innovation system.

KW - Agent-based model

KW - Capabilities

KW - Learning

KW - Performance

KW - Unlearning

UR - http://www.scopus.com/inward/record.url?scp=85081666560&partnerID=8YFLogxK

U2 - 10.1016/j.estger.2017.11.003

DO - 10.1016/j.estger.2017.11.003

M3 - Artículo

AN - SCOPUS:85081666560

VL - 33

SP - 366

EP - 376

JO - Estudios Gerenciales

JF - Estudios Gerenciales

SN - 0123-5923

IS - 145

ER -

Representación del des-aprendizaje en los sistemas de innovación: Una propuesta desde la modelación basada en agentes

Resumen

Nota bibliográfica

Palabras clave

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Huella

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