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Distributed Artificial Intelligence: Third International Conference, DAI 2021, Shanghai, China, December 17–18, 2021, Proceedings (Lecture Notes in Computer Science #13170)
by Jie Chen Christopher Amato Jérôme Lang Dengji ZhaoThis book constitutes the refereed proceedings of the Third International Conference on Distributed Artificial Intelligence, DAI 2021, held in Shanghai, China, in December 2021.The 15 full papers presented in this book were carefully reviewed and selected from 31 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI.
Distributed Artificial Intelligence: A Modern Approach (Internet of Everything (IoE))
by Satya Prakash Yadav, Dharmendra Prasad Mahato, and Nguyen Thi Dieu LinhDistributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some meta-heuristic methods where the problem solving may resemble like operation research. But exactly, it is not related completely to management research. The text examines representing and using organizational knowledge in DAI systems, dynamics of computational ecosystems, and communication-free interactions among rational agents. This publication takes a look at conflict-resolution strategies for nonhierarchical distributed agents, constraint-directed negotiation of resource allocations, and plans for multiple agents. Topics included plan verification, generation, and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The manuscript elaborates on negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning. The book will attract researchers and practitioners who are working in management and computer science, and industry persons in need of a beginner to advanced understanding of the basic and advanced concepts.
Distributed Artificial Intelligence: Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings (Lecture Notes in Computer Science #12547)
by Matthew E. Taylor Yang Yu Edith Elkind Yang GaoThis book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020. The 9 full papers presented in this book were carefully reviewed and selected from 22 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI. Due to the Corona pandemic this event was held virtually.
Distributed Artificial Intelligence: 4th International Conference, DAI 2022, Tianjin, China, December 15–17, 2022, Proceedings (Lecture Notes in Computer Science #13824)
by Makoto Yokoo Hong Qiao Yevgeniy Vorobeychik Jianye HaoThis book constitutes the refereed proceedings of the 4th International Conference on Distributed Artificial Intelligence, DAI 2022, held in Tianjin, China, in December 2022. The 5 full papers presented in this book were carefully reviewed and selected from 12 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI.
Distributed Artificial Intelligence for 5G/6G Communications: Frameworks with Machine Learning
by Iacovos Ioannou Prabagarane Nagaradjane Vasos Vassiliou Andreas Pitsillides Christophoros ChristophorouThe aim of this book is to delineate the challenges faced by new generation mobile networks, such as 5G and forthcoming 6G, and introduce the concept of addressing these challenges through the development of a novel Distributed AI (DAI) framework. The book proposes a distributed AI approach to handle these complexities effectively.Distributed Artificial Intelligence for 5G/6G Communications: Frameworks with Machine Learning aims to provide a comprehensive understanding of the proposed DAI framework, its architecture, implementation, and application in the context of D2D communication in 5G and beyond networks. It showcases how the framework can enhance decision-making, control, and communication performance while considering both static and dynamic network environments. The book delves into the advantages of D2D communication, highlighting how it transcends licensed frequency bands and bypasses the cellular network, leading to improved network metrics such as spectral efficiency, energy efficiency, data rates, and interference management. It concludes by emphasizing that the DAI framework can offer enhanced network control, reduced signaling overhead, and efficient decision-making while capitalizing on existing implementations to tackle various challenges across the 5G and 6G landscape.This book is intended for professionals that specialize in designing, implementing, and maintaining communication networks such as telecommunications/ communication engineers, wireless engineers. The book's emphasis on incorporating AI and ML techniques in the proposed framework also makes it of interest to computer and software engineers working in artificial intelligence and machine learning engineers.
Distributed Autonomous Robotic Systems
by Young-Jo Cho Nak-Young ChongThis volume of proceedings includes 32 original contributions presented at the 12th International Symposium on Distributed Autonomous Robotic Systems (DARS 2014), held in November 2014. The selected papers in this volume are authored by leading researchers from Asia, Australia, Europe, and the Americas, thereby providing a broad coverage and perspective of the state-of-the-art technologies, algorithms, system architectures, and applications in distributed robotic systems.
Distributed Autonomous Robotic Systems: The 10th International Symposium (Springer Proceedings in Advanced Robotics #83)
by Nikolaus Correll Mac Schwager Michael OtteThis volume of the SPAR series brings the proceedings of the fourteen edition of the DARS symposium on Distributed Autonomous Robotic Systems, whose proceedings have been published within SPAR since the past edition. This symposium took place in Boulder, CO from October 15th to 17th, 2018. The volume edited by Nikolaus Correll and Mac Schwager contains 36 scientific contributions cutting across planning, control, design, perception, networking, and optimization, all united through the common thread of distributed robotic systems.
Distributed Autonomous Robotic Systems: The 13th International Symposium (Springer Proceedings In Advanced Robotics Ser. #6)
by Roderich Groß Andreas Kolling Spring Berman Emilio Frazzoli Alcherio Martinoli Fumitoshi Matsuno Melvin GauciDistributed robotics is an interdisciplinary and rapidly growing area, combining research in computer science, communication and control systems, and electrical and mechanical engineering. Distributed robotic systems can autonomously solve complex problems while operating in highly unstructured real-world environments. They are expected to play a major role in addressing future societal needs, for example, by improving environmental impact assessment, food supply, transportation, manufacturing, security, and emergency and rescue services. The goal of the International Symposium on Distributed Autonomous Robotic Systems (DARS) is to provide a forum for scientific advances in the theory and practice of distributed autonomous robotic systems. This volume of proceedings include 47 original contributions presented at the 13th International Symposium on Distributed Autonomous Robotic Systems (DARS 2016), which was held at the Natural History Museum in London, UK, from November 7th to 9th, 2016. The selected papers in this volume are authored by leading researchers from around the world, thereby providing a broad coverage and perspective of the state-of-the-art technologies, algorithms, system architectures, and applications in distributed robotic systems. The book is organized into seven parts, representative of critical long-term and emerging research thrusts in the multi-robot community: Distributed Coverage and Exploration; Multi-Robot Control; Multi-Robot Estimation; Multi-Robot Planning; Modular Robots and Smart Materials; Swarm Robotics; and Multi-Robot Systems in Applications.
Distributed Average Tracking in Multi-agent Systems
by Fei Chen Wei RenThis book presents a systematic study of an emerging field in the development of multi-agent systems. In a wide spectrum of applications, it is now common to see that multiple agents work cooperatively to accomplish a complex task. The book assists the implementation of such applications by promoting the ability of multi-agent systems to track — using local communication only — the mean value of signals of interest, even when these change rapidly with time and when no individual agent has direct access to the average signal across the whole team; for example, when a better estimation/control performance of multi-robot systems has to be guaranteed, it is desirable for each robot to compute or track the averaged changing measurements of all the robots at any time by communicating with only local neighboring robots. The book covers three factors in successful distributed average tracking: algorithm design via nonsmooth and extended PI control;distributed average tracking for double-integrator, general-linear, Euler–Lagrange, and input-saturated dynamics; andapplications in dynamic region-following formation control and distributed convex optimization. The book presents both the theory and applications in a general but self-contained manner, making it easy to follow for newcomers to the topic. The content presented fosters research advances in distributed average tracking and inspires future research directions in the field in academia and industry.
The Distributed Classroom (Learning in Large-Scale Environments)
by David Joyner Charles IsbellA vision of the future of education in which the classroom experience is distributed across space and time without compromising learning.What if there were a model for learning in which the classroom experience was distributed across space and time--and students could still have the benefits of the traditional classroom, even if they can't be present physically or learn synchronously? In this book, two experts in online learning envision a future in which education from kindergarten through graduate school need not be tethered to a single physical classroom. The distributed classroom would neither sacrifice students' social learning experience nor require massive development resources. It goes beyond hybrid learning, so ubiquitous during the COVID-19 pandemic, and MOOCs, so trendy a few years ago, to reimagine the classroom itself. David Joyner and Charles Isbell, both of Georgia Tech, explain how recent developments, including distance learning and learning management systems, have paved the way for the distributed classroom. They propose that we dispense with the dichotomy between online and traditional education, and the assumption that online learning is necessarily inferior. They describe the distributed classroom's various delivery modes for in-person students, remote synchronous students, and remote asynchronous students; the goal would be a symmetry of experiences, with both students and teachers able to move from one mode to another. With The Distributed Classroom, Joyner and Isbell offer an optimistic, learner-centric view of the future of education, in which every person on earth is turned into a potential learner as barriers of cost, geography, and synchronicity disappear.
Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health: Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings (Lecture Notes in Computer Science #13573)
by Shadi Albarqouni Spyridon Bakas Sophia Bano M. Jorge Cardoso Bishesh Khanal Bennett Landman Xiaoxiao Li Chen Qin Islem Rekik Nicola Rieke Holger Roth Debdoot Sheet Daguang XuThis book constitutes the refereed proceedings of the Third MICCAI Workshop on Distributed, Collaborative, and Federated Learning, DeCaF 2022, and the Second MICCAI Workshop on Affordable AI and Healthcare, FAIR 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022. FAIR 2022 was held as a hybrid event.DeCaF 2022 accepted 14 papers from the 18 submissions received. The workshop aims at creating a scientific discussion focusing on the comparison, evaluation, and discussion of methodological advancement and practical ideas about machine learning applied to problems where data cannot be stored in centralized databases or where information privacy is a priority. For FAIR 2022, 4 papers from 9 submissions were accepted for publication. The topics of the accepted submissions focus on deep ultrasound segmentation, portable OCT image quality enhancement, self-attention deep networks and knowledge distillation in low-regime setting.
Distributed Computer-Aided Engineering
by Hojjat Adeli Sanjay KumarNetworking of personal computers and workstations is becoming commonplace in academic and industrial environments. A cluster of workstations provides engineers with a familiar, cost-effective environment for high performance computing. However, workstations often have no dedicated link and communicate slowly on a local area network (LAN), such as the Ethernet. Thus, to effectively harness the parallel processing or distributed computing capabilities of workstations, new algorithms need to be developed with a higher computation-to-communication ratio.Distributed Computer-Aided Engineering presents distributed algorithms for three fundamental areas: finite element analysis, design optimization, and visualization - providing a new direction in high performance structural engineering computing.
Distributed Computer and Communication Networks: 21st International Conference, DCCN 2018, Moscow, Russia, September 17–21, 2018, Proceedings (Communications in Computer and Information Science #919)
by Vladimir M. Vishnevskiy Dmitry V. KozyrevThis book constitutes the refereed proceedings of the 21th International Conference on Distributed and Computer and Communication Networks, DCCN 2018, held in Moscow, Russia, in September 2018.The 50 full papers and the 9 short papers were carefully reviewed and selected from 168 submissions. The papers cover the following topics: computer and communication networks architecture optimization; control in computer and communication networks; performance and QoS/QoE evaluation in wireless networks; analytical modeling and simulation of next-generation communications systems; queueing theory and reliability theory applications in computer networks; wireless 4G/5G networks, cm- and mm-wave radio technologies; RFID technology and its application in intellectual transportation networks; Internet of Things, wearables, and applications of distributed information systems; probabilistic and statistical models in information systems; mathematical modeling of high-tech systems; mathematical modeling and control problems; distributed and cloud computing systems, big data analytics.
Distributed Computer and Communication Networks
by Vladimir M. Vishnevskiy Konstantin E. Samouylov Dmitry V. KozyrevThisbook constitutes the refereed proceedings of the 18th International Conferenceon Distributed and Computer and Communication Networks, DCCN 2015, held inMoscow, Russia, in October 2015. The 38 revised full papers presented were carefully reviewed andselected from 94 submissions. The papers cover the following topics: computerand communication networks architecture optimization; control in computer andcommunication networks; performance and QoS evaluation in wireless networks;modeling and simulation of network protocols; queuing and reliability theory;wireless IEEE 802. 11, IEEE 802. 15, IEEE 802. 16, and UMTS (LTE) networks; FRIDtechnology and its application in intellectual transportation networks;protocols design (MAC, Routing) for centimeter and millimeter wave meshnetworks; internet and web applications and services; application integrationin distributed information systems; big data in communication networks.
Distributed Computer and Communication Networks
by Vladimir M. Vishnevskiy Konstantin E. Samouylov Dmitry V. KozyrevThis book constitutes the refereed proceedings of the 19th International Conference on Distributed and Computer and Communication Networks, DCCN 2016, held in Moscow, Russia, in November 2016. The 50 revised full papers and the 6 revised short papers presented were carefully reviewed and selected from 141 submissions. The papers cover the following topics: computer and communication networks architecture optimization; control in computer and communication networks; performance and QoS/QoE evaluation in wireless networks; analytical modeling and simulation of next-generation communications systems; queuing theory and reliability theory applications in computer networks; wireless 4G/5G networks, cm- and mm-wave radio technologies; RFID technology and its application in intellectual transportation networks; internet of things, wearables, and applications of distributed information systems; probabilistic and statistical models in information systems; mathematical modeling of high-tech systems; mathematical modeling and control problems; distributed and cloud computing systems, big data analytics.
Distributed Computer and Communication Networks: 22nd International Conference, DCCN 2019, Moscow, Russia, September 23–27, 2019, Revised Selected Papers (Communications in Computer and Information Science #1141)
by Vladimir M. Vishnevskiy Konstantin E. Samouylov Dmitry V. KozyrevThis book constitutes the refereed proceedings of the 22nd International Conference on Distributed and Computer and Communication Networks, DCCN 2019, held in Moscow, Russia, in September 2019. The 50 full papers and 2 short papers were carefully reviewed and selected from 174 submissions. The papers cover the following topics: Computer and Communication Networks and Technologies, Analytical Modeling of Distributed Systems, and Distributed Systems Applications.
Distributed Computer and Communication Networks: 22nd International Conference, DCCN 2019, Moscow, Russia, September 23–27, 2019, Revised Selected Papers (Lecture Notes in Computer Science #11965)
by Vladimir M. Vishnevskiy Konstantin E. Samouylov Dmitry V. KozyrevThis book constitutes the refereed proceedings of the 22nd International Conference on Distributed and Computer and Communication Networks, DCCN 2019, held in Moscow, Russia, in September 2019. The 44 full papers and 2 short papers were carefully reviewed and selected from 174 submissions. The papers cover the following topics: Computer and Communication Networks, Analytical Modeling of Distributed Systems, and Distributed Systems Applications.
Distributed Computer and Communication Networks: 23rd International Conference, DCCN 2020, Moscow, Russia, September 14-18, 2020, Revised Selected Papers (Communications in Computer and Information Science #1337)
by Vladimir M. Vishnevskiy Konstantin E. Samouylov Dmitry V. KozyrevThis book constitutes the refereed proceedings of the 23rd International Conference on Distributed and Computer and Communication Networks, DCCN 2020, held in Moscow, Russia, in September 2020. Due to the COVID-19 pandemic the conference was held online. The 43 papers were carefully reviewed and selected from 167 submissions.The papers are organized in the following topical sections: computer and communication networks and technologies; analytical modeling of distributed systems, and distributed systems applications.
Distributed Computer and Communication Networks: 23rd International Conference, DCCN 2020, Moscow, Russia, September 14–18, 2020, Revised Selected Papers (Lecture Notes in Computer Science #12563)
by Vladimir M. Vishnevskiy Konstantin E. Samouylov Dmitry V. KozyrevThis book constitutes the refereed post-conference proceedings of the 23rd International Conference on Distributed and Computer and Communication Networks, DCCN 2020, held in Moscow, Russia, in September 2020.The 54 revised full papers and 1 revised short paper were carefully reviewed and selected from 167 submissions. The papers cover the following topics: computer and communication networks; analytical modeling of distributed systems; and distributed systems applications.
Distributed Computer and Communication Networks: 24th International Conference, DCCN 2021, Moscow, Russia, September 20–24, 2021, Revised Selected Papers (Lecture Notes in Computer Science #13144)
by Vladimir M. Vishnevskiy Konstantin E. Samouylov Dmitry V. KozyrevThis book constitutes the refereed post-conference proceedings of the 24th International Conference on Distributed and Computer and Communication Networks, DCCN 2021, held in Moscow, Russia, in September 2021. The 26 revised full papers and 3 revised short papers were carefully reviewed and selected from 151 submissions. The papers cover the following topics: computer and communication networks; analytical modeling of distributed systems; and distributed systems applications.
Distributed Computer and Communication Networks: 24th International Conference, DCCN 2021, Moscow, Russia, September 20–24, 2021, Revised Selected Papers (Communications in Computer and Information Science #1552)
by Vladimir M. Vishnevskiy Konstantin E. Samouylov Dmitry V. KozyrevThis book constitutes revised selected papers from the 24th International Conference on Distributed and Computer and Communication Networks, DCCN 2021, held in Moscow, Russia, in September 2021. Due to the COVID-19 pandemic the conference was held online. The 31 full papers along with the 4 short papers were carefully reviewed and selected from 151 submissions.The papers are organized in the following topical sections: computer and communication networks; analytical modeling of distributed systems, and distributed systems applications.
Distributed Computer and Communication Networks: 25th International Conference, DCCN 2022, Moscow, Russia, September 26–29, 2022, Revised Selected Papers (Lecture Notes in Computer Science #13766)
by Vladimir M. Vishnevskiy Konstantin E. Samouylov Dmitry V. KozyrevThis book constitutes the refereed post-conference proceedings of the 25th International Conference on Distributed and Computer and Communication Networks, DCCN 2022, held in Moscow, Russia, in September 26–29, 2022. The 31 revised full papers and 2 revised short papers were carefully reviewed and selected from 130 submissions. The papers cover the following topics: computer and communication networks; analytical modeling of distributed systems; and distributed systems applications.
Distributed Computer and Communication Networks: 25th International Conference, DCCN 2022, Moscow, Russia, September 26–29, 2022, Revised Selected Papers (Communications in Computer and Information Science #1748)
by Vladimir M. Vishnevskiy Konstantin E. Samouylov Dmitry V. KozyrevThis book constitutes the refereed proceedings of the 25th International Conference on Distributed Computer and Communication Networks, DCCN 2022, held in Moscow, Russia, in September 2022.The 27 full papers and 2 short papers included in this book were carefully reviewed and selected from 130 submissions. They were organized in topical sections as follows: Distributed Systems Applications, Computer and Communication Networks, Analytical Modeling of Distributed Systems.
Distributed Computer and Communication Networks: 26th International Conference, DCCN 2023, Moscow, Russia, September 25–29, 2023, Revised Selected Papers (Lecture Notes in Computer Science #14123)
by Vladimir M. Vishnevskiy Konstantin E. Samouylov Dmitry V. KozyrevThis book constitutes the refereed proceedings of the 26th International Conference on Distributed Computer and Communication Networks: Control, Computation, Communications, DCCN 2023, held in Moscow, Russia, during September 25–29, 2023. The 37 full papers and 4 short papers included in this book were carefully reviewed and selected from 122 submissions. They were organized in topical sections as follows: Distributed Systems Applications; Analytical Modeling of Distributed Systems; Computer and Communication Networks.
Distributed Computer and Communication Networks: 26th International Conference, DCCN 2023, Moscow, Russia, September 25–29, 2023, Revised Selected Papers (Communications in Computer and Information Science #2129)
by Vladimir M. Vishnevskiy Konstantin E. Samouylov Dmitry V. KozyrevThe proceedings constitute papers presented in the 26th International Conference, DCCN 2023, held in Moscow, Russia, during September 25–29, 2023. The 8 full papers were carefully reviewed and selected from 122 submissions. They cover variety of topics including networks architecture, network protocols, distributed computer systems, distributed communication systems, simulation, stochastic processes, queueing and reliability theory, Internet and web applications and services, wireless networks, Internet of things, performance analysis, and high-altitude communication platforms.