We present a brief information on "The Workshop on p-Adic Methods for modeling of complex systems", which was held in the Center for Interdisciplinary Research (Zentrum fur interdisziplinare Forshung - ZiF),...
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We present a brief information on "The Workshop on p-Adic Methods for modeling of complex systems", which was held in the Center for Interdisciplinary Research (Zentrum fur interdisziplinare Forshung - ZiF), Bielefeld University, Bielefeld, Germany, April 15-19, 2013.
How to help enterprises realize cost minimum and profits maximum, which is the goal of many foreign trade enterprises. Based on the theoretical basis and practical basis,this paper analyse international trade fina...
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ISBN:
(纸本)9781467306898
How to help enterprises realize cost minimum and profits maximum, which is the goal of many foreign trade enterprises. Based on the theoretical basis and practical basis,this paper analyse international trade financing portfolio under cost constraints, for MK corporate case, raise the financing strategy of corresponding to the greast financing amounts under financing constraints.
Epidemiological models have a vital and consolidated role in aiding decision-making during crises such as the Coronavirus Disease 2019 (COVID-19) pandemic. However, the influence of social interactions in the spreadin...
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Epidemiological models have a vital and consolidated role in aiding decision-making during crises such as the Coronavirus Disease 2019 (COVID-19) pandemic. However, the influence of social interactions in the spreading of communicable diseases is left aside from the main models in the literature. The main contribution of this work is the introduction of a probabilistic simulation model based on a multi-agent approach that is capable of predicting the spreading of diseases. Our proposal has a simple model for the main source of infections in pandemics of respiratory viruses: social interactions. This simplicity is key for incorporating complex networks topology into the model, which is a more accurate representation for real-world interactions. This flexibility in network structure allows the evaluation of specific phenomena, such as the presence of super-spreaders. We provide the modeling for the dynamical network topology in two different simulation scenarios. Another contribution is the generic microscopic model for infection evolution that enables the evaluation of impact from more specific behaviors and interventions on the overall spreading of the disease. It also enables a more intuitive process for going from data to model parameters. This ease of changing the infection evolution model is key for performing more complete analyses than would be possible in other models from the literature. Further, we give specific parameters for a controlled scenario with quick testing and tracing. We present computational results that illustrate the model utilization for predicting the spreading of COVID-19 in a city. Also, we show the results of applying the model for assessing the risk of resuming on-site activities at a collective use facility.
When modelingcomplexsystems, we usually encounter the following difficulties: partiality, large amounts of data and uncertainty of conclusions. The most common approach used for modeling is the physical approach, so...
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When modelingcomplexsystems, we usually encounter the following difficulties: partiality, large amounts of data and uncertainty of conclusions. The most common approach used for modeling is the physical approach, sometimes reinforced by statistical procedures. If we assume emergences in the complex system, a physical approach is not appropriate at all. Instead, we build here the approach of structural invariants. In this paper, we show that another plane can be built above the plane of physical description, which is responsible for violation of structural invariants. Main attention is concentrated (in this article) on the invariant matroid and bases of matroid (M, BM) in combination with Ramsey graph theory. In addition, the article introduces a calculus that describes the emergent phenomena using two quantities - the power of the emergent phenomenon and the complexity of the structure of the considered complex system. We show the application of the method for modeling phase transition in chemistry.
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