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Coupling Agent Based Simulation with Dynamic networks Analysis to Study the Emergence of Mutual Knowledge as a Percolation Phenomenon

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Journal of Systems Science & complexity 2016年第5期29卷 1358-1381页

作者： DUGDALE Julie BELLAMINE BEN SAOUD Narjes ZOUAI Fedia PAVARD Bernard Universite Grenoble Alpes LIG Grenoble France University of Agder Norway Universite de La Manouba Ecole Nationale des Sciences de l'Informatique Laboratoire RIADI Tunisia Universite P. Sabatier CNRS IRIT Toulouse France

The emergence of mutual knowledge is a major cognitive mechanism for the robustness of complex socio-technical systems. It has been extensively studied from an ethnomethodological point of view and empirically reproduced by multi-agent simulations. Whilst such simulations have been used to design real work settings the underlying theoretical grounding for the process is vague. The aim of this paper is to investigate whether the emergence of mutual knowledge(MK) in a group of colocated individuals can be explained as a percolation phenomenon. The followed methodology consists in coupling agent-based simulation with dynamic networks analysis to study information propagation phenomena: After using an agent-based simulation the authors generated and then analyzed its traces as networks where agents met and exchanged knowledge. Deep analysis of the resulting networks clearly shows that the emergence of MK is comparable to a percolation process. The authors specifically focus on how changes at the microscopic level in the proposed agent based simulator affect percolation and robustness. These results therefore provide theoretical basis for the analysis of social organizations.

关键词： Agent-based simulation complex network dynamics emergence mutual knowledge per-colation social networks.

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Method to Quantifying the Logical Node Importance for IEC 61850 Based Substation Automation Systems

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CSEE Journal of Power and Energy Systems 2023年第1期9卷 272-283页

作者： Jie Yang Yihao Guo Chuangxin Guo Zhe Chen Shenghan Wang College of Electrical Engineering Zhejiang UniversityHangzhou 310027China Electric Power Research Institute of State Grid Zhejiang Electric Power Company Hangzhou 310014China

The problem of logical node(LN)importance quantification in an IEC 61850 based substation automation system(SAS)is investigated in this ***,a weighted and directed static complex network model is established by analyzing the characteristics of SAS,according to IEC ***,we propose a method,which combines topology value and information adjunction value by introducing a first-order linear feedback controller to quantify the value of *** this basis,some definitions for equivalent network conversion are proposed to greatly reduce the complexity of the original network ***,the absolute value and relative value are introduced to quantify LN importance from the perspective of the node’s necessity and influence,***,simulation results of the case study demonstrate that the proposed method is effective and provides a broader and clearer perspective for viewing the logical node importance for IEC61850 based SAS.

关键词： Absolute value complex network dynamics equivalent network IEC 61850 logical node importance quantification relative value substation automation system

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