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The HoneyComb Paradigm for Research on Collective Human Behavior
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Marco termodinámico para modelar la adopción social en sistemas de agentes múltiples.

Guilherme S Y Giardini1, Carlo R daCunha1

  • 1Northern Arizona University, Sanghi College of Engineering (SCE), Flagstaff, Arizona 86011, USA and School of Informatics, Computing, and Cyber Systems (SICCS), Flagstaff, Arizona 86011, USA.

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Resumen

Introducimos un marco termodinámico para modelar la adopción y el abandono de la innovación. Este enfoque utiliza la mecánica estadística para explicar dinámicas complejas en los sistemas socio-técnicos, revelando firmas híbridas termodinámico-estadísticas.

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Área de la Ciencia:

  • La termodinámica es la termodinámica.
  • Mecánica estadística La mecánica estadística.
  • Análisis de Sistemas Sociotecnológicos Análisis de Sistemas

Sus antecedentes:

  • La adopción y el abandono de la innovación exhiben dinámicas complejas.
  • Es posible que los modelos existentes no capturen completamente los comportamientos emergentes en los sistemas sociotecnológicos.
  • Se necesita un marco unificado para entender estas dinámicas.

Objetivo del estudio:

  • Desarrollar un marco termodinámico para modelar la adopción y el abandono de la innovación.
  • Para utilizar la mecánica estadística para el análisis de estas dinámicas.
  • Para capturar comportamientos emergentes en los sistemas socio-técnicos.

Principales métodos:

  • Desarrolló un marco termodinámico basado en la mecánica estadística.
  • Construyó un conjunto canónico a partir de un modelo empírico de distribución de adopción.
  • Se definió un potencial efectivo y se derivó una formulación Lagrangiana dinámica.
  • Analizó los comportamientos emergentes utilizando la teoría de campos.

Principales resultados:

  • El marco produce distribuciones de equilibrio de tipo Gompertz y Maxwell-Boltzmann.
  • La teoría de campos derivada captura las características clave de la dinámica de la innovación (supresión, pico, declive).
  • Se interpretaron la temperatura efectiva, la entropía y los puntos de equilibrio.

Conclusiones:

  • El marco termodinámico modela con éxito las dinámicas de adopción y abandono de la innovación.
  • Los sistemas socio-técnicos exhiben firmas híbridas termodinámico-estadísticas.
  • Este enfoque ofrece nuevos conocimientos sobre los comportamientos emergentes en sistemas complejos.