Disseminação de informações em sistemas socioecológicos: análise de um modelo híbrido de Dinâmica de Sistemas e Modelagem Baseada em Agentes

• Autores: Rafael Faria de Abreu Campos, Dênis Antônio da Cunha, Newton Paulo Bueno
• Localización: Nova Economia, ISSN 0103-6351, Año 30, Nº. 1, 2020, págs. 257-286
• Idioma: portugués
• DOI: 10.1590/0103-6351/4723
• Títulos paralelos:
  • Information dissemination in socio-ecological systems: Analysis of a hybrid model of System Dynamics and Agent-Based Modeling
• Enlaces
  • Texto completo
• Resumen
  • English

    Abstract This paper aimed to analyze the process of information dissemination in socioecological systems. System Dynamics, Agent-Based Modeling, and Social Network Analysis approaches were used for the construction of a hybrid simulation model. An analysis of the characteristics and structural aspects of social networks of the Gorutuba Irrigation Perimeter, in Minas Gerais, was performed. We observed that the most central agents are in key positions for the flow of information or on compulsory routes for their spread, thus allowing them to filter, retain, or even distort the knowledge. We conclude that policies to improve the flow of information to increase resilience should be based on targeting leading agents.

  • português

    Resumo O objetivo deste estudo foi analisar o processo de disseminação de informações em sistemas socioecológicos. Foi construído um modelo de simulação computacional híbrido a partir das abordagens de Dinâmica de Sistemas, Modelagem Baseada em Agentes e Análise de Redes Sociais. Foi realizada análise das características e aspectos estruturais das redes sociais do Perímetro de Irrigação Gorutuba, em Minas Gerais. Os resultados indicaram que os agentes centrais se encontram em posições-chave para o fluxo de informação ou em rotas obrigatórias para sua disseminação, o que os permite filtrar, reter ou até mesmo distorcer o conhecimento. Concluiu-se que políticas que visem aperfeiçoar o fluxo de informações para elevar a resiliência de sistemas devem se basear na focalização de agentes líderes.

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