Artificial Distributed Intelligence Techniques with Applications
1st Edition
Will be published approx. on 27. November 2026
Book
Hardback
392 pages
978-1-041-14231-7 (ISBN)
Description
This book discusses key concepts such as multi-agent systems, agent communication, and distributed problem-solving. The readers will gain an understanding of how these agents interact within a network, sharing information and resources to make decentralized decisions. The text will also cover the theoretical underpinnings of artificial distributed intelligence, including the principles of distributed computing and the algorithms that facilitate cooperation among agents.
This book:
Explains how artificial distributed intelligence leverages the coordination and collaboration of multiple autonomous agents to solve complex problems that are beyond the capabilities of a single agent.
Key concepts such as multi-agent systems, agent communication, and distributed problem-solving are covered in depth.
Provides a thorough exploration of the foundational principles and key concepts of artificial distributed intelligence.
Showcases potential risks associated with artificial distributed intelligence, including biases in artificial intelligence algorithms, the implications of autonomous decision-making, and the need for transparency and accountability in artificial intelligence systems.
Illustrates advanced topics such as the integration of blockchain and quantum computing with artificial distributed intelligence.
This text is written for senior undergraduate students, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and distributed computing.
This book:
Explains how artificial distributed intelligence leverages the coordination and collaboration of multiple autonomous agents to solve complex problems that are beyond the capabilities of a single agent.
Key concepts such as multi-agent systems, agent communication, and distributed problem-solving are covered in depth.
Provides a thorough exploration of the foundational principles and key concepts of artificial distributed intelligence.
Showcases potential risks associated with artificial distributed intelligence, including biases in artificial intelligence algorithms, the implications of autonomous decision-making, and the need for transparency and accountability in artificial intelligence systems.
Illustrates advanced topics such as the integration of blockchain and quantum computing with artificial distributed intelligence.
This text is written for senior undergraduate students, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and distributed computing.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic, Postgraduate, and Undergraduate Advanced
Illustrations
32 s/w Tabellen, 54 s/w Zeichnungen, 7 s/w Photographien bzw. Rasterbilder, 61 s/w Abbildungen
32 Tables, black and white; 54 Line drawings, black and white; 7 Halftones, black and white; 61 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-041-14231-7 (9781041142317)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Prashant Upadhyay (Senior Member IEEE) is an Assistant Professor in the Department of Computer Science and Engineering at the Sharda School of Computing Science and Engineering, Sharda University. He is concurrently a Post-Doctoral Research Fellow at the National Kaohsiung University of Science and Technology in Taiwan. With more than seven years of combined teaching and research experience, Dr. Upadhyay has made significant contributions to his field. His scholarly output includes the publication of 2 SCI-indexed and 4 SCOPUS-indexed journal articles, 13 conference papers, and 17 book chapters. He has also authored one book, edited 6 books, and been awarded 8 Indian utility patents and 3 design patents. An active member of the academic community, Dr. Upadhyay has served as a session chair at several international conferences, including GTSS-2026, ICDT-2024, ICDETGT-2023, and ICDT-2023. His commitment to the scientific community is further demonstrated by his regular contributions as a peer reviewer for leading SCI/SCIE indexed journals.
Pradeep Tomar has been working as faculty in the University School of Information and Communication Technology, Gautam Buddha University, Greater Noida, U.P., India, since 2009. He earned his Ph.D. from MDU, Rohtak, Haryana, India. Dr. Tomar has excellent teaching, research, and software development experience as well as vast administrative experience at the university level on various posts. His major current research interest is in Software Engineering and Artificial Intelligence. He has supervised more than 90 MTech Dissertations and 8 Ph.D. under his guidance and he is guiding various research scholars in the area of software engineering, artificial intelligence, reusability of code, soft computing technique, and IoT. He is working as a co-investigator in a sponsored research project in high throughput design, synthesis, and validation of TALENs for targeted Genome Engineering, funded by the Department of Biotechnology, Ministry of Science and Technology Government of India. He has also filed more than 6 patents at the national and international levels. He has also contributed more than 180 papers/articles/chapters in national/international journals and conferences and more than 8 books with national and international publishers.
Satya Prakash Yadav (FIETE and SMIEEE) is currently the Associate Professor of the Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, U.P., India. He is also Associate Dean R&D and Professional Practices. Dr. Yadav has done his Postdoctoral Research Fellow from Federal Institute of Education, Science and Technology of Ceara, Brazil. He has been awarded his PhD degree from Dr. A.P.J. Abdul Kalam Technical University (AKTU) (formerly UPTU). Currently, 4 students are working for Ph.D. under his guidance. A seasoned academician having more than 18 years of experience, he has published four books (Programming in C, Programming in C++ and Blockchain and Cryptocurrency) under I.K. International Publishing House Pvt. Ltd. including Distributed Artificial Intelligence: A Modern Approach, published 18 December 2020 by CRC Press. He has undergone industrial training programs during which he was involved in live projects with companies in the areas of SAP, Railway Traffic Management Systems, and Visual Vehicles Counter and Classification (used in the Metro rail network design). He is an alumnus of Netaji Subhas Institute of Technology (NSIT), Delhi University. A prolific writer, Dr. Satya Prakash Yadav has published 6 patents and authored many research papers in web of science indexed journals. Additionally, his area of specialisation is in the areas of Image Processing, Information retrieval and Features extraction. Also, he serves as an editor and series editor for various journals and publications.
Shobhit Tyagi is Assistant Professor, Department of CSE&IT, Jaypee Institute of Information Technology. His primary area of interest is computer vision, deep learning with emphasis on investigating and detecting artificial images developed using GANs, and the impact of fake images on society. Prior to joining the Sharda, he was Assistant Professor at the Dronacharya Group of Institutions. Dr. Shobhit completed his PhD and Masters from NIT Hamirpur in 2023 and 2019, respectively, and BTech from FGIET, Raebareli. He has published 5 SCI papers and edited 2 books.
Fadi Al-Turjman received his Ph.D. in Computer Science from Queen's University, Canada, in 2011. He is the Associate Dean for research and the founding director of the International Research Center for AI and IoT at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is the head of Artificial Intelligence Engineering Department, and a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks' architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 400 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 40 books about cognition, security, and wireless sensor networks' deployments in smart IoT environments, which have been published by well-reputed publishers. He has received several recognitions and best papers' awards at top international conferences. He also received the Top Researcher Award for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as book series editor and the lead guest/associate editor for several top tier journals in addition to organizing international conferences and symposiums on the most up to date research topics in AI and IoT.
Pradeep Tomar has been working as faculty in the University School of Information and Communication Technology, Gautam Buddha University, Greater Noida, U.P., India, since 2009. He earned his Ph.D. from MDU, Rohtak, Haryana, India. Dr. Tomar has excellent teaching, research, and software development experience as well as vast administrative experience at the university level on various posts. His major current research interest is in Software Engineering and Artificial Intelligence. He has supervised more than 90 MTech Dissertations and 8 Ph.D. under his guidance and he is guiding various research scholars in the area of software engineering, artificial intelligence, reusability of code, soft computing technique, and IoT. He is working as a co-investigator in a sponsored research project in high throughput design, synthesis, and validation of TALENs for targeted Genome Engineering, funded by the Department of Biotechnology, Ministry of Science and Technology Government of India. He has also filed more than 6 patents at the national and international levels. He has also contributed more than 180 papers/articles/chapters in national/international journals and conferences and more than 8 books with national and international publishers.
Satya Prakash Yadav (FIETE and SMIEEE) is currently the Associate Professor of the Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, U.P., India. He is also Associate Dean R&D and Professional Practices. Dr. Yadav has done his Postdoctoral Research Fellow from Federal Institute of Education, Science and Technology of Ceara, Brazil. He has been awarded his PhD degree from Dr. A.P.J. Abdul Kalam Technical University (AKTU) (formerly UPTU). Currently, 4 students are working for Ph.D. under his guidance. A seasoned academician having more than 18 years of experience, he has published four books (Programming in C, Programming in C++ and Blockchain and Cryptocurrency) under I.K. International Publishing House Pvt. Ltd. including Distributed Artificial Intelligence: A Modern Approach, published 18 December 2020 by CRC Press. He has undergone industrial training programs during which he was involved in live projects with companies in the areas of SAP, Railway Traffic Management Systems, and Visual Vehicles Counter and Classification (used in the Metro rail network design). He is an alumnus of Netaji Subhas Institute of Technology (NSIT), Delhi University. A prolific writer, Dr. Satya Prakash Yadav has published 6 patents and authored many research papers in web of science indexed journals. Additionally, his area of specialisation is in the areas of Image Processing, Information retrieval and Features extraction. Also, he serves as an editor and series editor for various journals and publications.
Shobhit Tyagi is Assistant Professor, Department of CSE&IT, Jaypee Institute of Information Technology. His primary area of interest is computer vision, deep learning with emphasis on investigating and detecting artificial images developed using GANs, and the impact of fake images on society. Prior to joining the Sharda, he was Assistant Professor at the Dronacharya Group of Institutions. Dr. Shobhit completed his PhD and Masters from NIT Hamirpur in 2023 and 2019, respectively, and BTech from FGIET, Raebareli. He has published 5 SCI papers and edited 2 books.
Fadi Al-Turjman received his Ph.D. in Computer Science from Queen's University, Canada, in 2011. He is the Associate Dean for research and the founding director of the International Research Center for AI and IoT at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is the head of Artificial Intelligence Engineering Department, and a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks' architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 400 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 40 books about cognition, security, and wireless sensor networks' deployments in smart IoT environments, which have been published by well-reputed publishers. He has received several recognitions and best papers' awards at top international conferences. He also received the Top Researcher Award for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as book series editor and the lead guest/associate editor for several top tier journals in addition to organizing international conferences and symposiums on the most up to date research topics in AI and IoT.
Content
1. Security and Privacy of Distributed Artificial Intelligence. 2. Demystifying Artificial Distributed Intelligence. 3. Artificial Distributed Intelligence: Empowering Healthcare through Big Data and Cloud Innovations. 4. Digital Advances in Artificial Distributed Intelligence in Optimizing Potato Leaf Disease Detection. 5. Distributed Computational Intelligent Efficient Technique. 6. Revolutionizing Healthcare with ADI. 7. Artificial Distributed Intelligence for Medical Imaging: A Novel Horizon in Healthcare. 8. Artificial Distributed Intelligence for Personalised Education: Architectures and Applications in K-12, Higher Education, and Workforce Learning. 9. Optimizing Manufacturing with ADI. 10. Empowering Environmental Sustainability. 11. Personalizing Education with Artificial Distributed Intelligence Techniques. 12. Enhancing Entertainment and Creative Industries. 13. Coordinating and Collaborative Agents. 14. Ethics of AI Use in Higher Education: Balancing Innovation and Academic Integrity. 15. AI for Structural Modeling and Simulation in Urban Planning.