Representation of unlearning in the innovation systems: A proposal from agent-based modeling

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

doi:10.1016/j.estger.2017.11.003

Representation of unlearning in the innovation systems: A proposal from agent-based modeling

Translated title of the contribution: Representation of unlearning in the innovation systems: A proposal from agent-based modeling

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

Research output: Contribution to journal › Article in an indexed scientific journal › peer-review

4 Scopus citations

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.

Translated title of the contribution	Representation of unlearning in the innovation systems: A proposal from agent-based modeling
Original language	English
Pages (from-to)	366-376
Number of pages	11
Journal	Estudios Gerenciales
Volume	33
Issue number	145
DOIs	https://doi.org/10.1016/j.estger.2017.11.003
State	Published - 2017

Bibliographical note

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/).

Keywords

Agent-based model
Capabilities
Learning
Performance
Unlearning

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10.1016/j.estger.2017.11.003

Cite this

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title = "Representation of unlearning in the innovation systems: A proposal from agent-based modeling",

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/).",

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T2 - A proposal from agent-based modeling

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

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M3 - Artículo en revista científica indexada

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SN - 0123-5923

VL - 33

SP - 366

EP - 376

JO - Estudios Gerenciales

JF - Estudios Gerenciales

IS - 145

ER -

Representation of unlearning in the innovation systems: A proposal from agent-based modeling

Abstract

Bibliographical note

Keywords

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