Flexible Accelerator Economic Systems as Coupled Oscillators

Zambelli, Stefano

doi:10.1111/j.1467-6419.2010.00664.x

Cited by 16 publications

(3 citation statements)

References 24 publications

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“…One of us (see Zambelli, 2011) has attempted to resolve dynamic perplexities by structured simulation studies, in close combination with established macrodynamic and interindustrial economics, formalised computably.…”

Section: Simulation and Computation In Economicsmentioning

confidence: 99%

Simulation, computation and dynamics in economics

Velupillai

Zambelli

2015

Journal of Economic Methodology

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Computation and Simulation have always played a role in economics -whether it be pure economic theory or any variant of applied, especially policy-oriented, macro-and microeconomics or what has increasingly come to be called empirical or experimental economics. Computations and simulations are also intrinsically dynamic. This triptychcomputation, simulation and dynamic -is given natural foundations, mainly as a result of developments in the mathematics underpinnings in the potentials of computing, using digital technology. A running theme in this essay is the recognition that, increasingly, the development of economic theory seems to go hand in hand with advances in the theory and practice of computing, which is, in turn, a catalyst for the move away from too much reliance on any kind of mathematics for the formalisation of economic entities that is inconsistent with the mathematical, methodological and epistemological foundations of the theory of computation.

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Section: Simulation and Computation In Economicsmentioning

confidence: 99%

Simulation, computation and dynamics in economics

Velupillai

Zambelli

2015

Journal of Economic Methodology

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“…For this reason, as for other dynamics systems such as Cellular Automata (CA) [10], clusters of interacting nonlinear oscillators are a useful model for studying the behavior of real complex systems in many branches of science and technology with a wide variety of significant applications. Examples are the collective output of arrays of lasers [26,45], chemical reactors [31,44], Josephson junctions [16,25], economic [47] and ecological systems [13]. Moreover, groups of self-excited interacting oscillators are frequently encountered in many living systems [37], and studies on the cooperative behavior of coupled oscillators have a great potential to contribute to understanding various rhythmic phenomena of biological systems such as, for example, the rhythmic activity of the cardiac and nervous systems or the neuronal oscillations in the brain [33,14,46,24].…”

Section: Introductionmentioning

confidence: 99%

Complexity and emergence of wave dynamics in a chain of sequentially interconnected Chua circuits

Bilotta

Chiaravalloti

Pantano

2015

Mechanics Research Communications

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“…ZAMBELLI [1] and CREPIN.A.S [2] introduced the coupling theory to study the coordination degree between subsystems. Shuai Bin et al [3] divided China regional economy into three types through studying coupling relationship between regional economy and the railway development.…”

Section: Introductionmentioning

confidence: 99%

Analysis of coupling between high-speed railway and common speed railway system in transportation corridor

Zhou

Chen

et al. 2017

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. The high-speed railway and common speed railway subsystems as important components of the railway transportation system, can make railway traffic organization more orderly, when there are a rational division and balance development between them. In order to quantitatively evaluate the coordinate relations between high-speed railway subsystem and common speed railway subsystem, this paper takes the railway transportation corridor from Baoji to Lanzhou as an example. Firstly, using Logit model and grey forecasting model predict the passenger volume, passenger turnover and time value of high-speed railway and common speed railway in the Baoji-Lanzhou corridor. And then, the coupling forecast model of these two subsystems is established. Lastly, the coupling and coupling coordination of these two subsystems using are predicted and analyzed at theatrically level. IntroductionAt present, predecessors have done a lot of researches which are related the transport internal system and other systems' coupling relationship. ZAMBELLI[1] and CREPIN.A.S[2] introduced the coupling theory to study the coordination degree between subsystems. Shuai Bin et al [3] divided China regional economy into three types through studying coupling relationship between regional economy and the railway development. Zhu Lei[4] by combining coupling degree and coordination degree, building coupled coordination degree model analyzed the coupling and coordination relationship among various traffic modes of the corridor. Li Xin et al [5] used the coupling function to analyze the relationship between the China railway transport situation and opencast coal mine production, but the paper used analytic hierarchy process in the coupled model for weight calibration, which was influenced by subjective factors greatly, and might reduce the accuracy of assessment. Zhang Yaodong [6] took the urbanization and transport systems as the two main indexes, and built the coupling degree model to study traffic modes in Lanzhou and the coupling mechanism of urban development. Yang Li et al [7] took the Xinjiang as an example and built the coupling degree model of the Xinjiang transportation infrastructure and economic to analyze their coupling mechanism, but the paper did not divide the index weights.Based on the previous experience, this paper constructed a coupling evaluation model of high speed railway and the common speed railway in Baoji-Lanzhou corridor, and does make a brief forecast and analysis on the coupling degree and coupling coordination of two traffic modes in the next ten years. The result has guide significance for planning the two systems' rail transport corridors development.

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Flexible Accelerator Economic Systems as Coupled Oscillators

Cited by 16 publications

References 24 publications

Simulation, computation and dynamics in economics

Simulation, computation and dynamics in economics

Complexity and emergence of wave dynamics in a chain of sequentially interconnected Chua circuits

Analysis of coupling between high-speed railway and common speed railway system in transportation corridor

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