Navegando por Autor "Ruiz, Ricardo Machado"

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Modeling economic growth fuelled by science and technology.
(2010) Ribeiro, Leonardo Costa; Bernardes, Américo Tristão; Ruiz, Ricardo Machado; Albuquerque, Eduardo da Motta e
Este artigo propõe um modelo de simulação para investigar a contribuição da ciência e da tecnologia para o crescimento econômico. O ponto de partida são os sistemas nacionais de inovação, um conceito que sintetiza a capacitação tecnológica das nações. Desta forma, o modelo pode preservar simplicidade e parcimônia. Os dados coletados (patentes, artigos e PIB e população, para 183 países) indicam uma forte correlação entre ciência, tecnologia e renda. Três exercícios com simulações são realizados para diversos momentos do tempo, mostrando a progressiva aderência do modelo a essas variáveis tecnológicas.
National system of innovation and technological differentiation : a multi- country evolutionary model (preliminary version).
(2005) Bernardes, Américo Tristão; Ruiz, Ricardo Machado; Ribeiro, Leonardo Costa; Albuquerque, Eduardo da Motta e
The paper introduces an agent-based model in which the national system of innovation (NSI) is a main determinant of the wealth of nations. The model is defined as a self-organizing economy where agents are countries with thei r own capabilities for imitation and innovation. The interactions among countries are given by the relative competitiveness of a country in world economy, which is represented by functions that connect their prices, demands, technologies, and incomes. The simulations show that the model reproduces countries hierarchies that have been found in several empirical studies.
The diffusion of technological knowledge through interlaced networks.
(2011) Ribeiro, Leonardo Costa; Ruiz, Ricardo Machado; Albuquerque, Eduardo da Motta e; Bernardes, Américo Tristão
The diffusion of technological knowledge through interlaced networks In the last decade, many papers discussed the basic features of the networks formed by knowledge diffusion. In this paper, we show that a network formed by the spreading of technological information, represented by the patents citation network, does not obey the expected power law behavior and, therefore, is not a scale-free network. We mapped a network formed by almost 600000 patents, covering a 40 years period. Although the complete network is not scale-free, small portions within the whole network can be described by power laws. The network combines several fields of knowledge, but those power law portions belong to specific fields of technological knowledge. A mathematical model is introduced, which can explain the basic dynamics of the formation of this network.