Modelado de sistemas complejos mediante simulación basada en agentes y mediante dinámica de sistemas

Izquierdo, Luis R.; Galán, José Manuel; Santos, José Ignacio; Olmo, Ricardo del

doi:10.5944/empiria.16.2008.1391

Cited by 63 publications

(65 citation statements)

References 48 publications

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“…Normalmente la mayoría de los científicos abstraen, consciente o inconscientemente, un modelo intermedio de cómo creen que el sistema real funciona, y es esta abstracción (a menudo incompleta y no formal) la que modelizan formalmente (Izquierdo;Galán;Santos;Olmo, 2008, p. 93).…”

Section: Metodologíaunclassified

La herencia del discurso político soviético en la nueva Rusia

Rodríguez

2017

PATA

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<p>El artículo aborda la aplicación del Análisis Complejo del Discurso a un estudio de caso, el cual trata la influencia del discurso soviético en la formación del Estado ruso tras la transición al capitalismo. Se centra en las publicaciones digitales emitidas por la agencia estatal RIA Novosti. Al partir del Paradigma científico de la Complejidad, procura un acercamiento a la comprensión de estas narrativas digitales en la estructuración del discurso político sometido a evaluación y su repercusión en las medidas efectuadas por el poder político. La aplicación de este método permitió un acercamiento novedoso a la teoría del discurso y supuso una nueva interpretación a los hechos políticos acaecidos en Rusia a raíz de la desintegración de la Unión Soviética.</p>

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Section: Metodologíaunclassified

La herencia del discurso político soviético en la nueva Rusia

Rodríguez

2017

PATA

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“…This idea sets the background of the conceptual framework to model the operation of eco-industrial parks suggested in a previous work (Romero & Ruiz, 2013). In order to advance to next stages of modeling process (Izquierdo et al, 2008, Sterman, 2000, this communication aims to contribute to the preliminary model formalization. Therefore, the main characteristics of the conceptual framework (Romero & Ruiz, 2013) are summarized on section 2.1.…”

Section: Modeling Of Production and Logistic Systems Eco-industrial Amentioning

confidence: 99%

“…ABM method models systems formed by individual entities which are characterized by certain attributes. These entities or agents are autonomous and heterogeneous with their own objectives and behavioral rules and are able to interact among themselves and with their surroundings (Scholl, 2001;Borschev & Filippov, 2004;Izquierdo et al, 2008;Barbati et al, 2012). The interactions among agents cause the global emergent behavior of the system.…”

Section: Modelling Paradigmmentioning

confidence: 99%

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First International Conference on Resource Efficiency in Interorganizational Networks – ResEff 2013 –

Geldermann¹,

Schümann²

2013

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“…Our approach is inspired by bacterial conjugation and may be classified under the methodological paradigm of agent-based modeling. In agent-based modeling (Izquierdo et al, 2008), agents with bounded rationality interact in a common environment, guided by local rules, leading to CAS that are named "artificial societies" (Duffy et al, 1998;Nemiche et al, 2013). These virtual representations of biological communities grow from the bottom up in computational environments and can be used as laboratories to test some hypotheses.…”

Section: Agentsmentioning

confidence: 99%

Decentralization and heterogeneity in complex adaptive systems

Gonzalez-Rodriguez

Hernandez-Carrion

2015

Kybernetes

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Abstract. Following a bacterial-based modeling approach, the authors want to model and analyze the impact of both decentralization and heterogeneity on group behavior and collective learning. The paper aims to discuss these issues.Inspired by bacterial conjugation, the authors have defined an artificial society in which agents' strategies adapt to changes in resources location, allowing migration, and survival in a dynamic sugarscape-like scenario. To study the impact of these variables the authors have simulated a scenario in which resources are limited and localized. The authors also have defined three constraints in genetic information processing (inhibition of plasmid conjugation, inhibition of plasmid reproduction and inhibition of plasmid mutation). The results affirmed the hypothesis that efficiency of group adaptation to dynamic environments is better when societies are varied and distributed than when they are homogeneous and centralized.The authors have demonstrated that in a model based on free interactions among autonomous agents, optimal results emerge by incrementing heterogeneity levels and decentralization of communication structures, leading to a global adaptation of the system. This organic approach to model peer-to-peer dynamics in complex adaptive systems (CAS) is what the authors have named "bacterial-based algorithms" because agents exchange strategic information in the same way that bacteria use conjugation and share genome.

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Modelado de sistemas complejos mediante simulación basada en agentes y mediante dinámica de sistemas

Cited by 63 publications

References 48 publications

La herencia del discurso político soviético en la nueva Rusia

La herencia del discurso político soviético en la nueva Rusia

First International Conference on Resource Efficiency in Interorganizational Networks – ResEff 2013 –

Decentralization and heterogeneity in complex adaptive systems

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