Knowledge transfer in agent-based computational social science

Resultado de la investigación: Contribución a RevistaArtículo

1 Cita (Scopus)

Resumen

Este artículo aborda la dinámica de la transferencia de conocimientos en las ciencias sociales computacionales basadas en agentes. El objetivo del texto es doble. En primer lugar, describe las tensiones que surgen de la convergencia de diferentes tradiciones disciplinarias en el surgimiento de esta nueva área de estudio y, en segundo lugar, muestra cómo se abordan estas tensiones a través de la articulación de prácticas distintivas de producción y transmisión del conocimiento. Para lograr este objetivo, se analizan tres casos importantes de dinámicas de transferencia de conocimiento en las ciencias sociales computacionales basadas en agentes. El primer ejemplo es la aparición del campo de la investigación. Se discuten las relaciones de transferencia de conocimiento y fertilización cruzada entre las ciencias sociales computacionales basadas en agentes y las áreas disciplinarias más amplias y establecidas: la ciencia de la complejidad, la ciencia computacional y las ciencias sociales. El segundo ejemplo es el enfoque de la modelización científica en este campo. Se muestra cómo la práctica de la modelización basada en agentes se ve afectada por la coexistencia conflictiva de compromisos metodológicos compartidos transferidos desde disciplinas tanto empíricas como formales. Por último, la tercera instancia se refiere a las prácticas internas de producción y transmisión de conocimientos. A través de la discusión de estas prácticas, se ponen de relieve las tensiones que surgen de la convergencia de tradiciones disciplinarias diferentes en las ciencias sociales computacionales basadas en agentes.

Idioma originalEnglish (US)
PublicaciónStudies in History and Philosophy of Science Part A
DOI
EstadoAccepted/In press - may 21 2018

All Science Journal Classification (ASJC) codes

  • History
  • History and Philosophy of Science

Citar esto

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title = "Knowledge transfer in agent-based computational social science",
abstract = "This article addresses knowledge transfer dynamics in agent-based computational social science. The goal of the text is twofold. First, it describes the tensions arising from the convergence of different disciplinary traditions in the emergence of this new area of study and, second, it shows how these tensions are dealt with through the articulation of distinctive practices of knowledge production and transmission. To achieve this goal, three major instances of knowledge transfer dynamics in agent-based computational social science are analysed. The first instance is the emergence of the research field. Relations of knowledge transfer and cross-fertilisation between agent-based computational social science and wider and more established disciplinary areas: complexity science, computational science and social science, are discussed. The second instance is the approach to scientific modelling in the field. It is shown how the practice of agent-based modelling is affected by the conflicting coexistence of shared methodological commitments transferred from both empirical and formal disciplines. Lastly, the third instance pertains internal practices of knowledge production and transmission. Through the discussion of these practices, the tensions arising from converging dissimilar disciplinary traditions in agent-based computational social science are highlighted.",
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Knowledge transfer in agent-based computational social science. / Anzola, David.

En: Studies in History and Philosophy of Science Part A, 21.05.2018.

Resultado de la investigación: Contribución a RevistaArtículo

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