A Review on Control and Optimisation of Multi-Agent Systems and Complex Networks for Systems Engineering

Systems Engineering is an ubiquitous discipline of Engineering overlapping industrial, chemical, mechanical, manufacturing, control, software, electrical, and civil engineering. It provides tools for dealing with the complexity and dynamics related to the optimisation of physical, natural, and virtual systems management. This paper presents a review of how multi-agent systems and complex networks theory are brought together to address Systems Engineering and management problems. The review also encompasses current and future research directions both for theoretical fundamentals and applications in Industry. This is made by considering trends such as mesoscale, multiscale, and multilayer networks; along with the state-of-art analysis on network dynamics and intelligent networks. Critical and smart infrastructure, manufacturing processes, and supply chain networks are instances of research topics for which this literature review is highly relevant.

[1]  M. Herrera,et al.  Applications of Graph Spectral Techniques to Water Distribution Network Management , 2018 .

[2]  Randall Steeb,et al.  Strategies of Cooperation in Distributed Problem Solving , 1983, IJCAI.

[3]  Alexandre Arenas,et al.  Centralities of Nodes and Influences of Layers in Large Multiplex Networks , 2017, J. Complex Networks.

[4]  Vladimír Marík,et al.  Industrial adoption of agent-based technologies , 2005, IEEE Intelligent Systems.

[5]  Andrew S. Tanenbaum,et al.  A brief introduction to distributed systems , 2016, Computing.

[6]  Oriol Lordan,et al.  Study of the topology and robustness of airline route networks from the complex network approach: a survey and research agenda , 2014 .

[7]  Syed Tahir Hussain Rizvi,et al.  Multi-Agent Cooperative Control Consensus: A Comparative Review , 2018 .

[8]  John Skvoretz,et al.  Node centrality in weighted networks: Generalizing degree and shortest paths , 2010, Soc. Networks.

[9]  Boleslaw K. Szymanski,et al.  Limits of Predictability of Cascading Overload Failures in Spatially-Embedded Networks with Distributed Flows , 2017, Scientific Reports.

[10]  Benjamin S. Blanchard,et al.  System Engineering Management , 1991 .

[11]  Klaudia Beich,et al.  Multiagent Systems For Manufacturing Control A Design Methodology , 2016 .

[12]  P. Erdos,et al.  On the evolution of random graphs , 1984 .

[13]  Hao Liao,et al.  Ranking in evolving complex networks , 2017, ArXiv.

[14]  Michael Wooldridge,et al.  Intelligent Agents: The Key Concepts , 2001, Multi-Agent-Systems and Applications.

[15]  Mike Holcombe,et al.  A General Framework for Agent-based Modelling of Complex Systems , 2006 .

[16]  Siddharth Suryanarayanan,et al.  Some characteristics of emerging distribution systems considering the smart grid initiative , 2010 .

[17]  Pramod P. Khargonekar,et al.  Smart grids cyber-physical security as a malicious data attack: An innovation approach , 2017 .

[18]  Roman Šperka,et al.  Transaction costs influence on the stability of financial market: agent-based simulation , 2013 .

[19]  S. Shen-Orr,et al.  Social network architecture of human immune cells unveiled by quantitative proteomics , 2017, Nature Immunology.

[20]  Naima Kaabouch,et al.  Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid , 2018, Technology and Economics of Smart Grids and Sustainable Energy.

[21]  Marc Barthelemy,et al.  The simplicity of planar networks , 2013, Scientific Reports.

[22]  Marlon Dumas,et al.  Fast fully dynamic landmark-based estimation of shortest path distances in very large graphs , 2011, CIKM '11.

[23]  M. Marchesi,et al.  Agent-based simulation of a financial market , 2001, cond-mat/0103600.

[24]  Devika Subramanian,et al.  Interface Network Models for Complex Urban Infrastructure Systems , 2011 .

[25]  Antonio Scala,et al.  Networks of Networks: The Last Frontier of Complexity , 2014 .

[26]  Lorenzo Moreno Ruiz,et al.  Software experience when using ontologies in a multi‐agent system for automated planning and scheduling , 2006, Softw. Pract. Exp..

[27]  Jonathan P. How,et al.  Learning to Teach in Cooperative Multiagent Reinforcement Learning , 2018, AAAI.

[28]  Antonio Manuel,et al.  Improving water network management by efficient division into supply clusters , 2011 .

[29]  Matti Lehtonen,et al.  A review: Agents in smart grids , 2016 .

[30]  Kate Ching-Ju Lin,et al.  Deploying chains of virtual network functions: On the relation between link and server usage , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

[31]  Walter Murray Wonham,et al.  Supervisor Localization: A Top-Down Approach to Distributed Control of Discrete-Event Systems , 2015, IEEE Transactions on Automatic Control.

[32]  V. Latora,et al.  The backbone of a city , 2005, physics/0511063.

[33]  Scott A. DeLoach,et al.  An Overview of the Multiagent Systems Engineering Methodology , 2000, AOSE.

[34]  Valeria Cardellini,et al.  Agent-based modeling of interdependencies in critical infrastructures through UML , 2007, SpringSim '07.

[35]  Hendrik Van Brussel,et al.  Multi-agent coordination and control using stigmergy , 2004, Comput. Ind..

[36]  Reza Olfati-Saber,et al.  Consensus and Cooperation in Networked Multi-Agent Systems , 2007, Proceedings of the IEEE.

[37]  Jolanta Szoplik,et al.  The Gas Transportation in a Pipeline Network , 2012 .

[38]  Stefan Bornholdt,et al.  Handbook of Graphs and Networks: From the Genome to the Internet , 2003 .

[39]  Gerd Brewka,et al.  Artificial intelligence - a modern approach by Stuart Russell and Peter Norvig, Prentice Hall. Series in Artificial Intelligence, Englewood Cliffs, NJ , 1996, The Knowledge Engineering Review.

[40]  Carlo Giudicianni,et al.  Topological Taxonomy of Water Distribution Networks , 2018 .

[41]  Geoff Boeing,et al.  Planarity and street network representation in urban form analysis , 2018, Environment and Planning B: Urban Analytics and City Science.

[42]  Wilhelm T S Huck,et al.  Grip on complexity in chemical reaction networks , 2017, Beilstein journal of organic chemistry.

[43]  Boi Faltings,et al.  Global optimization for multiple agents , 2012, AAMAS.

[44]  C. Castelfranchi,et al.  From Automaticity to Autonomy: The Frontier of Artificial Agents , 2003 .

[45]  Marcos G. Quiles,et al.  Clustering Data Streams: A Complex Network Approach , 2019, ICCSA.

[46]  R. G. Ingalls,et al.  Agent-Based Modeling and Simulation , 2017, Encyclopedia of Machine Learning and Data Mining.

[47]  Xue-Gang Chen A novel reliability estimation method of complex network based on Monte Carlo , 2017, Cluster Computing.

[48]  S. Brison The Intentional Stance , 1989 .

[49]  Kin-Ping Hui Monte Carlo Network Reliability Ranking Estimation , 2007, IEEE Transactions on Reliability.

[50]  Andrei Z. Broder,et al.  Workshop on Algorithms and Models for the Web Graph , 2007, WAW.

[51]  Franco Zambonelli,et al.  Developing pervasive multi-agent systems with nature-inspired coordination , 2015, Pervasive Mob. Comput..

[52]  Ilias Sakellariou Agent based Modelling and Simulation using State Machines , 2012, SIMULTECH.

[53]  Enrico Zio,et al.  From complexity science to reliability efficiency: a new way of looking at complex network systems and critical infrastructures , 2007, Int. J. Crit. Infrastructures.

[54]  Matthew Roughan,et al.  Planarity of data networks , 2011, 2011 23rd International Teletraffic Congress (ITC).

[55]  David M. Dilts,et al.  The evolution of control architectures for automated manufacturing systems , 1991 .

[56]  Zhenhua Jiang Agent-Based Control Framework for Distributed Energy Resources Microgrids , 2006, 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

[57]  Ashutosh Tiwari,et al.  Supply Networks as Complex Systems: A Network-Science-Based Characterization , 2017, IEEE Systems Journal.

[58]  Bin Hu,et al.  Application of Epidemiology Model on Complex Networks in Propagation Dynamics of Airspace Congestion , 2016, PloS one.

[59]  Munindar P. Singh,et al.  The Internet of Things and Multiagent Systems: Decentralized Intelligence in Distributed Computing , 2017, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS).

[60]  Rene Kamphuis,et al.  The role of natural gas in smart grids , 2011 .

[61]  Zhonghua Yang,et al.  Agent that models, reasons and makes decisions , 2002, Knowl. Based Syst..

[62]  Lakhmi C. Jain,et al.  The Link between Agent Coordination and Cooperation , 2006, Intelligent Information Processing.

[63]  Jean-Pierre Bardet,et al.  Epidemiology of urban water distribution systems , 2014 .

[64]  Vassilios G. Agelidis,et al.  Network Topology Independent Multi-Agent Dynamic Optimal Power Flow for Microgrids With Distributed Energy Storage Systems , 2018, IEEE Transactions on Smart Grid.

[65]  Peter E.D. Love,et al.  An IFC-inspection process model for infrastructure projects: Enabling real-time quality monitoring and control , 2017 .

[66]  M. Prokopenko,et al.  Percolation Centrality: Quantifying Graph-Theoretic Impact of Nodes during Percolation in Networks , 2013, PloS one.

[67]  Joaquín Izquierdo,et al.  GPR data analysis using multi-agent and clustering approaches: A tool for technical management of water supply systems , 2014, Digit. Signal Process..

[68]  Zhao Yang Dong,et al.  A Framework for Cyber-Topology Attacks: Line-Switching and New Attack Scenarios , 2019, IEEE Transactions on Smart Grid.

[69]  Thilo Gross,et al.  Design of Self-Organizing Networks: Creating Specified Degree Distributions , 2016, IEEE Transactions on Network Science and Engineering.

[70]  A. Barabasi,et al.  Universal resilience patterns in complex networks , 2016, Nature.

[71]  Wenxuan Zhong,et al.  Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series , 2019, AISTATS.

[72]  Xinghuo Yu,et al.  Enhancement of Synchronizability in Networks with Community Structure through Adding Efficient Inter-Community Links , 2016, IEEE Transactions on Network Science and Engineering.

[73]  M. Newman,et al.  Fast Monte Carlo algorithm for site or bond percolation. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[74]  Jovica V. Milanović,et al.  Modeling of Interconnected Critical Infrastructure Systems Using Complex Network Theory , 2018, IEEE Transactions on Smart Grid.

[75]  HyungJun Kim,et al.  Reducing security vulnerabilities for critical infrastructure , 2009 .

[76]  Rick S. Blum,et al.  Network topology risk assessment of stealthy cyber attacks on advanced metering infrastructure networks , 2017, 2017 51st Annual Conference on Information Sciences and Systems (CISS).

[77]  Shlomo Havlin,et al.  Recent advances on failure and recovery in networks of networks , 2016 .

[78]  Albert-László Barabási,et al.  Scale-Free Networks: A Decade and Beyond , 2009, Science.

[79]  Paul Valckenaers,et al.  Emergent flow shop control based on MASCADA agents , 2000 .

[80]  Yunpeng Wang,et al.  Percolation transition in dynamical traffic network with evolving critical bottlenecks , 2014, Proceedings of the National Academy of Sciences.

[81]  Hasan Omar Al-Sakran,et al.  Intelligent Traffic Information System Based on Integration of Internet of Things and Agent Technology , 2015 .

[82]  János Kertész,et al.  Clustering in complex networks , 2004 .

[83]  Jens Krause,et al.  The evolutionary and ecological consequences of animal social networks: emerging issues. , 2014, Trends in ecology & evolution.

[84]  John Lygeros,et al.  A fault tolerant control architecture for automated highway systems , 2000, IEEE Trans. Control. Syst. Technol..

[85]  Paulo Leitao,et al.  Simulation of multi-agent manufacturing systems using Agent-Based Modelling platforms , 2011, 2011 9th IEEE International Conference on Industrial Informatics.

[86]  Wei Yang,et al.  A survey on security in network functions virtualization , 2016, 2016 IEEE NetSoft Conference and Workshops (NetSoft).

[87]  Federico Baronti,et al.  Modeling, Control, and Integration of Energy Storage Systems in E-Transportation and Smart Grid , 2018, IEEE Trans. Ind. Electron..

[88]  Glenn Lawyer,et al.  Understanding the influence of all nodes in a network , 2015, Scientific Reports.

[89]  Pavle Bujanovic,et al.  Development of a simulation platform for safety impact analysis considering vehicle dynamics, sensor errors, and communication latencies: Assessing cooperative adaptive cruise control under cyber attack , 2018, Transportation Research Part C: Emerging Technologies.

[90]  Yamir Moreno,et al.  Theory of Rumour Spreading in Complex Social Networks , 2007, ArXiv.

[91]  Peter Stone,et al.  Agents teaching agents: a survey on inter-agent transfer learning , 2019, Autonomous Agents and Multi-Agent Systems.

[92]  Duanbing Chen,et al.  Vital nodes identification in complex networks , 2016, ArXiv.

[93]  Minghua Hu,et al.  Systemic Congestion Propagation in the Airspace Network , 2018 .

[94]  Jean-Charles Delvenne,et al.  Multiscale dynamical embeddings of complex networks , 2018, Physical review. E.

[95]  Alexandra Brintrup,et al.  Supply network science: Emergence of a new perspective on a classical field. , 2018, Chaos.

[96]  Giuseppe Giunta,et al.  The smart gas grid: state of the art and perspectives , 2013, IEEE PES ISGT Europe 2013.

[97]  R. Guimerà,et al.  Functional cartography of complex metabolic networks , 2005, Nature.

[98]  Leo Katz,et al.  A new status index derived from sociometric analysis , 1953 .

[99]  Sanjay E. Sarma,et al.  Auto ID systems and intelligent manufacturing control , 2003 .

[100]  Mason A. Porter,et al.  Author Correction: The physics of spreading processes in multilayer networks , 2016, 1604.02021.

[101]  Edo Abraham,et al.  A Graph-Theoretic Framework for Assessing the Resilience of Sectorised Water Distribution Networks , 2016, Water Resources Management.

[102]  Manfred Morari,et al.  Model predictive control: Theory and practice - A survey , 1989, Autom..

[103]  Joaquín Izquierdo,et al.  Water Supply Clusters by Multi-Agent Based Approach , 2011 .

[104]  Luc Bongaerts,et al.  Reference architecture for holonic manufacturing systems: PROSA , 1998 .

[105]  Arthur C. Graesser,et al.  Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents , 1996, ATAL.

[106]  Mohsen Guizani,et al.  Mobile application security: malware threats and defenses , 2015, IEEE Wireless Communications.

[107]  William G. Kennedy,et al.  Modelling Human Behaviour in Agent-Based Models , 2012 .

[108]  Ragupathy Venkatachalam,et al.  Agent-based modelling as a foundation for big data , 2017 .

[109]  Jim Kadtke,et al.  Critical Infrastructures, Scale-Free~Networks, and the Hierarchical Cascade of Generalized Epidemics , 2009 .

[110]  Igor Nikolic,et al.  On the development of Agent-Based Models for infrastructure evolution , 2008, 2008 First International Conference on Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA).

[111]  Michael J. North,et al.  Tutorial on agent-based modelling and simulation , 2005, Proceedings of the Winter Simulation Conference, 2005..

[112]  Federica Pascucci,et al.  Monitoring system reaction in cyber-physical testbed under cyber-attacks , 2017, Comput. Electr. Eng..

[113]  Francesco Archetti,et al.  Smart water in urban distribution networks: limited financial capacity and Big Data analytics , 2014 .

[114]  Luca Viganò,et al.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 2015, IWSEC 2015.

[115]  Dawei Zhao,et al.  Multiple routes transmitted epidemics on multiplex networks , 2013, ArXiv.

[116]  Réka Albert,et al.  Structural vulnerability of the North American power grid. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[117]  J. Jimenez Smart Transportation Systems , 2018 .

[118]  Hitoshi Iba Agent-Based Modeling and Simulation with Swarm , 2013 .

[119]  Ziyou Gao,et al.  Clustering and congestion effects on cascading failures of scale-free networks , 2007 .

[120]  Ilkka Seilonen,et al.  Agent-based modeling and simulation of a smart grid: A case study of communication effects on frequency control , 2014, Eng. Appl. Artif. Intell..

[121]  Guido Caldarelli,et al.  Complexity Science for Sustainable Smart Water Grids , 2016, WIVACE.

[122]  Filippo Radicchi,et al.  Optimal percolation on multiplex networks , 2017, Nature Communications.

[123]  Rodger Kibble,et al.  Speech acts, commitment and multi-agent communication , 2006, Comput. Math. Organ. Theory.

[124]  Enrico Zio,et al.  Network reliability analysis based on percolation theory , 2015, Reliab. Eng. Syst. Saf..

[125]  Krzysztof Suchecki,et al.  Voter model dynamics in complex networks: Role of dimensionality, disorder, and degree distribution. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[126]  M. Newman Analysis of weighted networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[127]  Edward J.S. Hearnshaw,et al.  A complex network approach to supply chain network theory , 2013 .

[128]  J. H. Choi,et al.  DFacTo: Distributed Factorization of Tensors , 2014, NIPS.

[129]  Leire Labaka,et al.  Modelling methodologies for analysing critical infrastructures , 2018, J. Simulation.

[130]  Marco Aiello,et al.  Power grid complex network evolutions for the smart grid , 2014 .

[131]  Dan Braha,et al.  From Centrality to Temporary Fame: Dynamic Centrality in Complex Networks , 2006, Complex..

[132]  Amos Korman,et al.  Theoretical Distributed Computing Meets Biology: A Review , 2013, ICDCIT.

[133]  Sankaran Mahadevan,et al.  Resilience-based network design under uncertainty , 2018, Reliab. Eng. Syst. Saf..

[134]  D. McFarlane,et al.  Holonic Production Control to Support Mass Customisation , 2002 .

[135]  Andrew Crooks,et al.  The Integration of Agent-Based Modelling and Geographical Information for Geospatial Simulation , 2012 .

[136]  A. Arenas,et al.  Mathematical Formulation of Multilayer Networks , 2013, 1307.4977.

[137]  Qinghua Zhu,et al.  Optimization of Coverage in 5G Self-Organizing Small Cell Networks , 2018, Mob. Networks Appl..

[138]  M. Gompper,et al.  A model-based approach for investigation and mitigation of disease spillover risks to wildlife: Dogs, foxes and canine distemper in central India , 2015 .

[139]  Jinde Cao,et al.  Multiagent Systems on Multilayer Networks: Synchronization Analysis and Network Design , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[140]  Miguel Ayala Botto,et al.  SCADA system with predictive controller applied to irrigation canals , 2013 .

[141]  Andrew J. Evans,et al.  Dynamic calibration of agent-based models using data assimilation , 2016, Royal Society Open Science.

[142]  Sergey Brin,et al.  Reprint of: The anatomy of a large-scale hypertextual web search engine , 2012, Comput. Networks.

[143]  Damith Chinthana Ranasinghe,et al.  Will Intelligent Assets Take Off? Toward Self-Serving Aircraft , 2011, IEEE Intelligent Systems.

[144]  Hyacinth S. Nwana,et al.  Software agents: an overview , 1996, The Knowledge Engineering Review.

[145]  Sudarshan Iyengar,et al.  Landmark Identification in Complex Networks , 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

[146]  Dirk P. Kroese,et al.  Why the Monte Carlo method is so important today , 2014 .

[147]  Ladislav Hluchý,et al.  AgentOWL: Semantic Knowledge Model and Agent Architecture , 2012, Comput. Artif. Intell..

[148]  Barbara Messing,et al.  An Introduction to MultiAgent Systems , 2002, Künstliche Intell..

[149]  Sanjay E. Sarma,et al.  THE INTELLIGENT PRODUCT IN MANUFACTURING CONTROL , 2002 .

[150]  Geoff Boeing,et al.  OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks , 2016, Comput. Environ. Urban Syst..

[151]  Ajith Kumar Parlikad,et al.  Collaborative prognostics in Social Asset Networks , 2019, Future Gener. Comput. Syst..

[152]  Initial Machine Learning Framework Development of Agriculture Cyber Physical Systems , 2019 .

[153]  Jean-Claude Hennet,et al.  Coordination and optimization in oil and gas production complexes , 2004, Comput. Ind..

[154]  A. Scala,et al.  Multiscale shortest path algorithm for big-size utility networks , 2019 .

[155]  P. Stadler,et al.  Centers of complex networks. , 2003, Journal of theoretical biology.

[156]  Lubos Buzna,et al.  Resilience of Natural Gas Networks during Conflicts, Crises and Disruptions , 2013, PloS one.

[157]  Christopher J. Lynch,et al.  Big data, agents, and machine learning: towards a data-driven agent-based modeling approach , 2018, SpringSim.

[158]  Piet Van Mieghem,et al.  Assortativity in complex networks , 2015, J. Complex Networks.

[159]  Wei Li,et al.  Recent Progress in Some Active Topics on Complex Networks , 2015 .

[160]  Vito Latora,et al.  Elementary processes governing the evolution of road networks , 2012, Scientific Reports.

[161]  Goran Strbac,et al.  Value of gas network infrastructure flexibility in supporting cost effective operation of power systems , 2017 .

[162]  Marko Obrovac,et al.  Chemical Computing for Distributed Systems: Algorithms and Implementation , 2013 .

[163]  Ying Wang,et al.  Complex networks repair strategies: Dynamic models , 2017 .

[164]  Giovanni Egidio Pazienza,et al.  Eve: A Novel Open-Source Web-Based Agent Platform , 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

[165]  V. Latora,et al.  Complex Networks: Principles, Methods and Applications , 2017 .

[166]  Nikos D. Hatziargyriou,et al.  A Multi-agent System for Microgrids , 2004, SETN.

[167]  Bruno Melo Brentan,et al.  Social Network Community Detection and Hybrid Optimization for Dividing Water Supply into District Metered Areas , 2018 .

[168]  Zhongmin Wang,et al.  Trust-based distributed Kalman filtering for target tracking under malicious cyber attacks , 2019, Inf. Fusion.

[169]  Avi Ostfeld,et al.  Battle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Water Distribution Networks , 2018, Journal of Water Resources Planning and Management.

[170]  Yicheng Zhang,et al.  Identifying influential nodes in complex networks , 2012 .

[171]  Xifan Yao,et al.  Smart manufacturing based on cyber-physical systems and beyond , 2017, Journal of Intelligent Manufacturing.

[172]  Kurt Konolige,et al.  Multiple-Agent Planning Systems , 1980, AAAI.

[173]  Duncan C. McFarlane,et al.  Product intelligence in industrial control: Theory and practice , 2013, Annu. Rev. Control..

[174]  M. Perc,et al.  Network science of biological systems at different scales: A review. , 2017, Physics of life reviews.

[175]  Hernán A. Makse,et al.  Influence maximization in complex networks through optimal percolation , 2015, Nature.

[176]  Idel Montalvo,et al.  Multi-agent adaptive boosting on semi-supervised water supply clusters , 2012, Adv. Eng. Softw..

[177]  P. V. Mieghem,et al.  Performance Analysis of Complex Networks and Systems , 2014 .

[178]  Yicheng Zhang,et al.  Dynamics of information diffusion and its applications on complex networks , 2016 .

[179]  Matjaz Perc,et al.  Information cascades in complex networks , 2017, J. Complex Networks.

[180]  Kristen L Sanford Bernhardt,et al.  Agent-Based Modeling in Transportation , 2007 .

[181]  Elmar Kiesling,et al.  Agent-based simulation of innovation diffusion: a review , 2011, Central European Journal of Operations Research.

[182]  Botond Kádár,et al.  Hierarchy in distributed shop floor control , 2000 .

[183]  Shlomo Havlin,et al.  Recent Progress on the Resilience of Complex Networks , 2015 .

[184]  Federica Pascucci,et al.  Communications network analysis in a SCADA system testbed under cyber-attacks , 2015, 2015 23rd Telecommunications Forum Telfor (TELFOR).

[185]  Ginestra Bianconi,et al.  Percolation in multiplex networks with overlap. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[186]  Jose M. Alcaraz Calero,et al.  Combined NFV and SDN Applications for Mitigation of CyberAttacks Conducted by Botnets in 5 G Mobile Networks , 2017 .

[187]  Jari Saramäki,et al.  Temporal Networks , 2011, Encyclopedia of Social Network Analysis and Mining.

[188]  Paulo Leitão,et al.  Agent-based distributed manufacturing control: A state-of-the-art survey , 2009, Eng. Appl. Artif. Intell..

[189]  Eric Bonabeau,et al.  Agent-based modeling: Methods and techniques for simulating human systems , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[190]  S. Strogatz Exploring complex networks , 2001, Nature.

[191]  Yifang Ban,et al.  Complex Network Topology of Transportation Systems , 2013 .

[192]  Jie Ding,et al.  Key Nodes Selection in Controlling Complex Networks via Convex Optimization , 2019, IEEE Transactions on Cybernetics.

[193]  Henry Hexmoor,et al.  A model of absolute autonomy and power: Toward group effects , 2002, Connect. Sci..

[194]  Himansu Das,et al.  Grid Computing-Based Performance Analysis of Power System: A Graph Theoretic Approach , 2015 .

[195]  J. Nagler,et al.  Emergence of core–peripheries in networks , 2016, Nature Communications.

[196]  V. Latora,et al.  Centrality measures in spatial networks of urban streets. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[197]  Marco Aiello,et al.  The Power Grid as a Complex Network: a Survey , 2011, ArXiv.

[198]  Leonardo Dueñas-Osorio,et al.  Exploring Topological Effects on Water Distribution System Performance Using Graph Theory and Statistical Models , 2017 .

[199]  D. McFarlane,et al.  Holonic Manufacturing Control: Rationales, Developments and Open Issues , 2003 .

[200]  Hans Heesterbeek,et al.  Effects of heterogeneity in infection-exposure history and immunity on the dynamics of a protozoan parasite , 2007, Journal of The Royal Society Interface.

[201]  S. Shankar Sastry,et al.  A Taxonomy of Cyber Attacks on SCADA Systems , 2011, 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing.

[202]  Marc Barthelemy,et al.  Towards a classification of planar maps , 2018, Physical Review E.

[203]  A.L. Dimeas,et al.  Operation of a multiagent system for microgrid control , 2005, IEEE Transactions on Power Systems.

[204]  Yacine Rezgui,et al.  An integrated framework utilising software agent reasoning and ontology models for sensor based building monitoring , 2015 .

[205]  Idel Montalvo,et al.  Agent-based Division of Water Distribution Systems into District Metered Areas , 2009, ICSOFT.

[206]  Lei Deng,et al.  Author Correction: Enabling Controlling Complex Networks with Local Topological Information , 2018, Scientific Reports.

[207]  Siobhán Clarke,et al.  Multi-agent simulation to support water distribution network partitioning , 2013 .

[208]  Yu Chen,et al.  Cascading Failure Analysis of Cyber Physical Power System With Multiple Interdependency and Control Threshold , 2018, IEEE Access.

[209]  Gang Yang,et al.  Structure-based control of complex networks with nonlinear dynamics , 2016, Proceedings of the National Academy of Sciences.

[210]  Abder Koukam,et al.  Multi-agent systems for grid energy management: A short review , 2010, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.

[211]  Si Zhang,et al.  Graph convolutional networks: a comprehensive review , 2019, Computational Social Networks.

[212]  T. Shallice What ghost in the machine? , 1992, Nature.

[213]  Piet Van Mieghem,et al.  Epidemic processes in complex networks , 2014, ArXiv.

[214]  Kazumi Saito,et al.  Estimating node connectedness in spatial network under stochastic link disconnection based on efficient sampling , 2019, Appl. Netw. Sci..

[215]  Baris Fidan,et al.  Coordination and Control of Multi-agent Dynamic Systems: Models and Approaches , 2006, Swarm Robotics.

[216]  Sang Hoon Lee,et al.  Density-Based and Transport-Based Core-Periphery Structures in Networks , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[217]  Ross J. Anderson,et al.  Temporal node centrality in complex networks. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[218]  P. Bonacich Factoring and weighting approaches to status scores and clique identification , 1972 .

[219]  Vincenzo Masucci,et al.  An Integrated Approach For Simulating Interdependencies , 2008, Critical Infrastructure Protection.

[220]  Michael Batty,et al.  Transportation in Agent-Based Urban Modelling , 2016, ABMUS@AAMAS.

[221]  Usman Ahmed,et al.  Framework for implementation of AGA 12 for secured SCADA operation in Oil and Gas Industry , 2015, 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom).

[222]  Ashutosh Tiwari,et al.  Systemic Risk Assessment in Complex Supply Networks , 2018, IEEE Systems Journal.

[223]  Leonard M. Freeman,et al.  A set of measures of centrality based upon betweenness , 1977 .

[224]  Ziyang Meng,et al.  A survey of distributed optimization , 2019, Annu. Rev. Control..

[225]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[226]  Anand S. Rao,et al.  BDI Agents: From Theory to Practice , 1995, ICMAS.

[227]  Jay Lee,et al.  Smart Agents in Industrial Cyber–Physical Systems , 2016, Proceedings of the IEEE.

[228]  Dimitris P. Labridis,et al.  Cyber attack impact on critical Smart Grid infrastructures , 2014, ISGT 2014.

[229]  Neil A. Duffie,et al.  Non Hierarchical Control of a Flexible Manufacturing Cell , 1987 .

[230]  Jennifer Whyte,et al.  Analysing Systems Interdependencies Using a Digital Twin , 2019 .

[231]  Alessandro Rozza,et al.  Dynamic Graph Convolutional Networks , 2017, Pattern Recognit..