Smart Grids Simulation with MECSYCO

Vaubourg, Julien; Presse, Yannick; Camus, Benjamin; Bourjot, Christine; Ciarletta, Laurent; Chevrier, Vincent; Tavella, Jean-Philippe; Morais, Hugo; Deneuville, Boris; Chilard, Olivier

doi:10.1007/978-3-319-18944-4_37

Cited by 1 publication

(1 citation statement)

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“…While the model showed how a behavioral paradigm outperformed traditional models by being able to define heterogeneous agents with a bounded rationality and reproducing emergent historical changes ,the structure of the model remained specific to the studied case and does not offer any design pattern that can be generalized to similar situations. Also, with the large diffusion of information technology, many agent-based models try to simulate information society trends and other connected phenomena such as smart grids [15]. However, most research on the influence of modern technologies on wealth distribution remains based on descriptive statistics [10], mainly due the multi-level nature of the problem where the first one belongs to microeconomics and the second one belongs to complex network theory.…”

Section: Related Literaturementioning

confidence: 99%

Agent-Based Co-Modeling of Information Society and Wealth Distribution

Yahyaoui¹,

Tkiouat²

2018

ijacsa

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With empirical studies suggesting that information technology influence wealth distribution in different ways, and with economic interactions and information technology adoption being two complex phenomena, there is a need for simulation approach that addresses the whole complexity of the issue without being too costly in terms of computations and without ignoring relevant empirical facts in defining the behavior of different agents.. While this problem seems to require a bottomup approach using agent-based modeling, further complexity levels in managing the heterogeneous agents in space and time and an appropriate separation in domain areas show its limitations in practice. In this paper we illustrate the use of novel multi-level agent based concepts on this socioeconomic issue, by considering our studied phenomenon as an interference of multiple simple other phenomena, namely a basic producer/consumer economy and a diffusion of information model. Such an approach involves writing models following a formalism allowing compatibility and exchange of variables, in addition to implementing appropriate synchronization algorithms. Our simulation used Levelspace, a recent extension project of Netlogo simulation tool combined with data exploration tools but the patterns described are generic and can be implemented in other simulation tools. Indeed, our case study offers a building block for a framework that can investigate wealth dynamics and other analogue cases with influence between models. Our approach successfully validates against empirical macro-trends in the distribution of wealth and other social patterns. Thanks to its flexibility in conducting experiments, we could reduce the hypotheses that restricted previous models from conducting a multi-dimensional analysis for the Gini index and enabled solving conflicting research issues.

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Section: Related Literaturementioning

confidence: 99%