Advancements in Multi-Agent Large Language Model Systems for Next-Generation AI

Yadav, Satya Prakash · Song, Houbing Herbert

Sep 2025 · IGI Global

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356

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About this ebook

Multi-agent systems powered by large language models (LLMs) emerge as a groundbreaking approach to building more capable, autonomous, and collaborative AI. Unlike traditional single-agent models, multi-agent LLM systems coordinate multiple specialized agents, each with unique roles and capabilities, to solve complex tasks more efficiently and intelligently. Recent advancements in this field have driven innovations across domains such as robotics, software development, scientific research, and strategic decision-making. These systems represent a shift toward the next-generation AI that is more powerful, adaptable, interactive, and aligned with human goals.

Advancements in Multi-Agent Large Language Model Systems for Next-Generation AI explores LLMs and multi-agent systems to generate sophisticated AI models. It examines these models as powerful tools to solve complicated problems in intelligent technology applications. This book covers topics such as data science, quantum computing, and sustainability, and is a useful resource for business owners, computer engineering, academicians, researchers, and scientists.

About the author

Dr. Satya Prakash Yadav (FIETE & SMIEEE) is currently the Associate Professor of the Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, U.P., India and has completed his Postdoctoral Research Fellow from Federal Institute of Education, Science and Technology of Ceará, Brazil. He has 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 December 18, 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 six 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 is a Editor in Chief in Journal of Cyber Security in Computer System & Journal of Soft Computing and Computational Intelligence (MAT journals), Series Editor in DeGruyter International Publisher, Bentham Science and CRC Press, Taylor and Francis Group Publisher (U.S.A), Lead Editor in Tech Science Press (Computer Systems Science and Engineering), International Journal of Experimental Research and Review, Measurement: Sensors (Elsevier Publisher), International Journal of Advanced Technology and Engineering Exploration (IJATEE) Journal of Electrical Systems (JES), Journal of Advances in Information Technology (JAIT) and Informing Science Journal.

Dr. Houbing Song is an IEEE Fellow, an Asia-Pacific Artificial Intelligence Association (AAIA) Fellow, an ACM Distinguished Member, and a Full Member of Sigma Xi. Dr. Song has been a Highly Cited Researcher identified by Web of Science since 2021. He is an ACM Distinguished Speaker (2020-present), an IEEE Computer Society Distinguished Visitor (2024-present), an IEEE Communications Society (ComSoc) Distinguished Lecturer (2024-present), an IEEE Intelligent Transportation Systems Society (ITSS) Distinguished Lecturer (2024-present), an IEEE Vehicular Technology Society (VTS) Distinguished Lecturer (2023-present) and an IEEE Systems Council Distinguished Lecturer (2023-present). Dr. Song received Research.com Rising Star of Science Award in 2022, 2021 Harry Rowe Mimno Award bestowed by IEEE Aerospace and Electronic Systems Society, and 10+ Best Paper Awards from major international conferences, including IEEE CPSCom-2019, IEEE ICII 2019, IEEE/AIAA ICNS 2019, IEEE CBDCom 2020, WASA 2020, AIAA/ IEEE DASC 2021, IEEE GLOBECOM 2021 and IEEE INFOCOM 2022. He has been an IEEE Impact Creator since 2023. [Editor]

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