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Books on the topic 'Autonomous network control'

Author: Grafiati

Published: 31 August 2024

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1

W, Protzel Peter, Palumbo Daniel L, and Langley Research Center, eds. Automatic learning rate adjustment for self-supervising autonomous robot control. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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2

Varlamov, Oleg. Fundamentals of creating MIVAR expert systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1513119.

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Methodological and applied issues of the basics of creating knowledge bases and expert systems of logical artificial intelligence are considered. The software package "MIV Expert Systems Designer" (KESMI) Wi!Mi RAZUMATOR" (version 2.1), which is a convenient tool for the development of intelligent information systems. Examples of creating mivar expert systems and several laboratory works are given. The reader, having studied this tutorial, will be able to independently create expert systems based on KESMI. The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.

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3

Ganchev, Ivan. Autonomous Control for a Reliable Internet of Services: Methods, Models, Approaches, Techniques, Algorithms, and Tools. Cham: Springer Nature, 2018.

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4

Varlamov, Oleg. Mivar databases and rules. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in this new model of data and rules is shown, which has linear computational complexity relative to the number of rules. MOGAN is a development of Rule - Based Systems and allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format. An example of creating a mivar expert system for solving problems in the model area "Geometry"is given. Mivar databases and rules can be used to model cause-and-effect relationships in different subject areas and to create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with the transition to"Big Knowledge". The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.

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5

Young, Forrest C. Phoenix autonomous underwater vehicle (AUV): Networked control of multiple analog and digital devices using LonTalk. Monterey, Calif: Naval Postgraduate School, 1997.

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6

Tucci, Mario, and Marco Garetti, eds. Proceedings of the third International Workshop of the IFIP WG5.7. Florence: Firenze University Press, 2002. http://dx.doi.org/10.36253/88-8453-042-3.

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Contents of the papers presented at the international workshop deal with the wide variety of new and computer-based techniques for production planning and control that has become available to the scientific and industrial world in the past few years: formal modeling techniques, artificial neural networks, autonomous agent theory, genetic algorithms, chaos theory, fuzzy logic, simulated annealing, tabu search, simulation and so on. The approach, while being scientifically rigorous, is focused on the applicability to industrial environment.

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7

Ando, Noriaki. Simulation, Modeling, and Programming for Autonomous Robots: Second International Conference, SIMPAR 2010, Darmstadt, Germany, November 15-18, 2010. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010.

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8

Guillermo, Navarro-Arribas, Cavalli Ana, Leneutre Jean, and SpringerLink (Online service), eds. Data Privacy Management and Autonomous Spontaneous Security: 5th International Workshop, DPM 2010 and 3rd International Workshop, SETOP 2010, Athens, Greece, September 23, 2010, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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9

1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics, and Cybernetics. (10th : 1998 : Baden-Baden, Germany), eds. Advances in artificial intelligence and engineering cybernetics: Neural networks, anticipatory systems, the evolution of autonomous agents, multi-agent systems development, intelligent systems in process control, knowledge organization, formal representation of meaning, space-time logic, logic networks, time and threshold dependent logic operators, natural language processing. Windsor, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 1999.

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10

Chapman, Airlie. Semi-Autonomous Networks: Effective Control of Networked Systems Through Protocols, Design, and Modeling. Springer, 2015.

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11

Chapman, Airlie. Semi-Autonomous Networks: Effective Control of Networked Systems Through Protocols, Design, and Modeling. Springer, 2015.

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12

Chapman, Airlie. Semi-Autonomous Networks: Effective Control of Networked Systems through Protocols, Design, and Modeling. Springer, 2016.

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13

Unger, Herwig, and Wolfgang A. Halang, eds. Autonomous Systems 2016. VDI Verlag, 2016. http://dx.doi.org/10.51202/9783186848109.

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To meet the expectations raised by the terms Industrie 4.0, Industrial Internet and Internet of Things, real innovations are necessary, which can be brought about by information processing systems working autonomously. Owing to their growing complexity and their embedding in complex environments, their design becomes increasingly critical. Thus, the topics addressed in this book span from verification and validation of safety-related control software and suitable hardware designed for verifiability to be deployed in embedded systems over approaches to suppress electromagnetic interferences to strategies for network routing based on centrality measures and continuous re-authentication in peer-to-peer networks. Methods of neural and evolutionary computing are employed to aid diagnosing retinopathy of prematurity, to invert matrices and to solve non-deterministic polynomial-time hard problems. In natural language processing, interface problems between humans and machines are solved with g...

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14

Theodoulou, Stella Z., and Ravi K. Roy. 7. Globalization and the rise of network governance. Oxford University Press, 2016. http://dx.doi.org/10.1093/actrade/9780198724230.003.0007.

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The forces of globalization are compelling public administrators to direct their attention increasingly towards transnational forms of governance. ‘Globalization and the rise of network governance’ shows that in network governance-type systems, power and authority tend to be decentralized and dispersed among a variety of autonomous stakeholders operating beyond the scope and control of national governments. They are organized around values, concerns, issues, and problems ranging from global climate change to human security. Flexible and fluid in their organizational structure, they allow participants to flow in and out of a network as circumstances change. Examples of how governing networks have been particularly influential in addressing the climate change crisis are provided.

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15

Ganchev, Ivan, Hans Van Den Berg, and R D Van Der Mei. Autonomous Control for a Reliable Internet of Services: Methods, Models, Approaches, Techniques, Algorithms, and Tools. Saint Philip Street Press, 2020.

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16

Ganchev, Ivan, R. D. van der Mei, and Hans van den Berg. Autonomous Control for a Reliable Internet of Services: Methods, Models, Approaches, Techniques, Algorithms, and Tools. Springer, 2018.

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17

Manfredi, Sabato. Multilayer Control of Networked Cyber-Physical Systems: Application to Monitoring, Autonomous and Robot Systems. Springer, 2018.

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18

Manfredi, Sabato. Multilayer Control of Networked Cyber-Physical Systems: Application to Monitoring, Autonomous and Robot Systems. Springer London, Limited, 2016.

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19

Manfredi, Sabato. Multilayer Control of Networked Cyber-Physical Systems: Application to Monitoring, Autonomous and Robot Systems. Springer, 2016.

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20

Phoenix Autonomous Underwater Vehicle (AUV): Networked Control of Multiple Analog and Digital Devices Using LonTalk. Storming Media, 1997.

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21

Autonomic Computing And Communications Systems Third International Icst Conference Autonomics 2009 Limassol Cyprus September 911 2009 Revised Selected Papers. Springer, 2010.

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22

Edwards, Jennifer C. Superior Women. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198837923.001.0001.

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Superior Women examines female monastic authority at the abbey of Sainte-Croix in Poitiers from its foundation by Saint-Radegund in the sixth century through its sixteenth-century reform. Along with the abbey, Radegund established two strategies for her nuns to defend authority they claimed over their community, dependents, properties, tenants, and vassals. First, she secured a network of supporters, allies with extensive authority, to document the abbey’s privileges and defend Sainte-Croix. Their documents became a rich archive useful for recruiting new allies. Over time this network included the king of France, neighboring bishops, and the pope. Second, she used cultural artifacts, symbols, and ideas spotlighting her life story. Poetry commissioned from Venantius Fortunatus helped her win allies in Byzantium who then helped her secure a relic of the True Cross for the abbey. Later abbesses drew upon these cultural artifacts at times of crisis or at the loss of a traditional supporter in order to rebuild the abbey’s reputation and win new allies. These two strategies proved enormously successful for later abbesses at Sainte-Croix. Radegund’s example provided a powerful model of female authority on which the women of Sainte-Croix were able to draw, with the support of male allies. So long as Sainte-Croix was competently governed by abbesses talented in the deployment of Radegund’s strategies, the abbey remained strong, well supported, mostly autonomous, and in firm control of its dependents, and this situation persisted through the sixteenth century.

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23

2005 Joint International Conference on Autonomic and Autonomous Systems and International Conference on Networking and Services (Icas/Icns), 23-28 Oct. Institute of Electrical & Electronics Enginee, 2005.

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24

Jian, Wang, Yunpeng Wang, Zhengguo Sheng, and Daxin Tian. Connected Vehicle Systems: Communication, Data, and Control. Taylor & Francis Group, 2017.

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25

Connected Vehicle Systems: Communications, Data, and Control. Taylor & Francis Group, 2017.

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26

Jian, Wang, Yunpeng Wang, Zhengguo Sheng, and Daxin Tian. Connected Vehicle Systems: Communication, Data, and Control. Taylor & Francis Group, 2017.

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27

Jian, Wang, Yunpeng Wang, Zhengguo Sheng, and Daxin Tian. Connected Vehicle Systems: Communication, Data, and Control. Taylor & Francis Group, 2017.

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28

Jian, Wang, Yunpeng Wang, Zhengguo Sheng, and Daxin Tian. Connected Vehicle Systems: Communication, Data, and Control. Taylor & Francis Group, 2017.

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29

Guo, Xiang-Gui, Jian-Liang Wang, Fang Liao, and Rodney Swee Huat Teo. Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus. Taylor & Francis Group, 2019.

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30

Guo, Xiang-Gui, Jian-Liang Wang, Fang Liao, and Rodney Swee Huat Teo. Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus. Taylor & Francis Group, 2019.

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31

Teo, Rodney, Xiang-Gui Guo, Jian-Liang Wang, and Fang Liao. Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus. Taylor & Francis Group, 2022.

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32

Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus. Taylor & Francis Group, 2019.

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