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Título del libro: Simulation Of An Evolutionary Game For A Wealth Distribution Model Structured In A Small World Network

Autores UNAM:
JAVIER LARA DE PAZ;

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Autores externos:

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Idioma:
Inglés

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Año de publicación:
2017

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Palabras clave:

Autonomous agents; Complex networks; Computational methods; Distributed computer systems; Normal distribution; Population statistics; Small-world networks; Software agents; Agent-based model; Econophysicss; Empirical distributions; Evolutionary game theory; Evolutionary games; Goodness of fit; Log-normal distribution; Wealth distributions; Game theory

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Resumen:

Wealth distribution studies have been reported for almost 200 years using different models to explain the dynamics involved. Also, many kinds of approaches have arisen to fit the registered data. Paretós distribution emerged as one of the best empirical model showing a good fitting with real data sets of wealth distribution all over the world and over different time ages. Theoretical models validate their assessments through this distribution. Souma asserted that wealth distribution interaction between agents could be modeled in a small-world network with different rules of wealth exchange. Garlaschelli, found that long-Term shape of the empirical distribution strongly depends on the topology of the transaction networks among economic units. In the present work, an evolutionary game theory method was used to establish wealth exchange between economical agents structured in a small world network. The present project constructs a model based on Méxicós population income data sets dividing it in ten equal sized groups with different range of income stated as agents in the model. Agent based model simulations were performed using NetlLogo software, through different time intervals. Goodness of fit techniques was used to verify simulation results approaches to Pareto and log normal distribution.

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Entidades citadas de la UNAM:

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Fuente:


ISBN:
9781510847651
Editorial:
CAL-TEK S.r.l.

Tipo de producto:
Conference Paper