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Multiscale Modeling of Social Systems: Scale Bridging via Decision Making

Abstract : In recent years technological advancement makes it possible to connect heterogeneous systems at hierarchical levels, such as macro level where strategic decisions are made, and micro level where organizations interact with the users. Modeling of these connections alongside with systems is one of the problems, which can be solved by modeling techniques that take hierarchical nature of the systems into consideration. In this paper, we propose a multiscale modeling approach for social systems. We suggest to design a model by adopting certain entities: decision makers, resources, actions and propagation variables. The proposed approach is evaluated on an example of collaboration between two systems: electricity suppliers and manufacturers. Results of the computational experiments demonstrate the effectiveness of the proposed technique.
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Submitted on : Thursday, January 30, 2020 - 10:16:34 AM
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Nursultan Nikhanbayev, Toshiya Kaihara, Nobutada Fujii, Daisuke Kokuryo. Multiscale Modeling of Social Systems: Scale Bridging via Decision Making. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2019, Austin, TX, United States. pp.617-624, ⟨10.1007/978-3-030-29996-5_71⟩. ⟨hal-02460508⟩



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