Una Exploración Conceptual de la Formación de Patrones en Sistemas Sociales Autorganizados

A Conceptual Exploration of Pattern Formation in Social Self-Organized Systems

Keywords: Self-organization, social complexity, pattern formation, agent-based modelling (en_US)
Keywords: Autoorganización, complejidad social, formación de patrones, simulación basada en agentes (es_ES)

Abstract (es_ES)

Contexto: el concepto de autoorganización juega un papel fundamental en las ciencias de la complejidad; sin embargo, dado el carácter diverso y decididamente práctico de dichas ciencias, el aparato teórico-metodológico que se ha desarrollado para la comprensión de la autoorganización no articula adecuadamente todos los elementos necesarios para el estudio de fenómenos sociales complejos.

Método: este artículo ejemplifica algunas de las limitaciones del marco de la complejidad para el estudio de la autoorganización, centrándose en la formación de patrones, una característica transversal a las definiciones de autoorganización en diferentes áreas de conocimiento. La discusión se desarrolla a partir de tres preguntas básicas: ¿dónde están los patrones?, ¿qué son los patrones? y ¿cómo se estudian estos patrones?

Resultados: para cada una de las preguntas anteriores, se muestra que existe un alto nivel de especificidad en los fenómenos sociales autoorganizados, que no es adecuadamente abarcado por el marco actual de las ciencias de la complejidad. Tal especificidad se encuentra relacionada, por un lado, con aspectos que no se han discutido dentro de las ciencias de la complejidad porque son exclusivos de las ciencias sociales y, por el otro, con aspectos que no han sido analizados robustamente, dada la novedad histórica de los estudios en complejidad social.

Conclusiones: es necesario entablar una colaboración interdisciplinar que involucre investigadores dentro de las ciencias de la complejidad, las ciencias sociales y la ingeniería, con el fin de superar las limitaciones tradicionales para la comprensión de los fenómenos sociales complejos autoorganizados.

Abstract (en_US)

Context: The concept of self-organization plays a major role in contemporary complexity science. Yet, the current framework for the study of self-organization is only able to capture some of the nuances of complex social self-organizing phenomena.

Method: This article addresses some of the problematic elements in the study of social selforganization. For this purpose, it focuses on pattern formation, a feature of self-organizing phenomena that is common across definitions. The analysis is carried out through three main questions: where can we find these patterns, what are these patterns and how can we study these patterns.

Results: The discussion shows that there is a high level of specificity in social self-organized phenomena that is not adequately addressed by the current complexity framework. It argues that some elements are neglected by this framework because they are relatively exclusive to social science; others, because of the relative novelty of social complexity.

Conclusions: It is suggested that interdisciplinary collaboration between social scientists and complexity scientists and engineers is needed, in order to overcome traditional disciplinary limitations in the study of social self-organized phenomena.

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How to Cite
Anzola, D. (2018). A Conceptual Exploration of Pattern Formation in Social Self-Organized Systems. Ingeniería, 23(1), 84-102. https://doi.org/10.14483/23448393.12407
Published: 2018-01-10
Section
Complex Systems