Wang | Parallel Intelligence for Humanitarian Services | Buch | 978-3-032-35125-8 | www.sack.de

Buch, Englisch, 130 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: SpringerBriefs in Service Science

Wang

Parallel Intelligence for Humanitarian Services

New Service with New AI
Erscheinungsjahr 2027
ISBN: 978-3-032-35125-8
Verlag: Springer

New Service with New AI

Buch, Englisch, 130 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: SpringerBriefs in Service Science

ISBN: 978-3-032-35125-8
Verlag: Springer


This book explores the transformative potential of parallel intelligence in enhancing humanitarian services for sustainability, with a focus on leveraging the latest advancements in artificial intelligence. It brings together cutting-edge technologies like agentic intelligence, autonomous intelligence, Retrieval-Augmented Generation (RAG), and Search-Augmented Generation and Extension (SAGE), and along with digital human technologies, to reimagine and re-optimize service systems across a range of sectors. It examines how these technologies can transform service systems across diverse sectors, including education, healthcare, emergency management, agriculture, tourism, and ecology. By integrating real-time data, AI models, and feedback loops, the book outlines how these parallel systems can improve the effectiveness, resilience, and sustainability of services. It also highlights the role of blockchain, smart contracts, and Decentralized Autonomous/Agentic Organizations (DAO) in optimizing distributed humanitarian operations. As AI continues to advance, the author raises the crucial question of what the best model for sustainable and reliable humanitarian services should look like. Through this exploration, he argues that parallel intelligence offers new, innovative solutions to address global challenges, making service systems more adaptive and efficient.

This book appeals to a broad audience, including academics, researchers, data scientists, practitioners, students, educators, and general public interested in the intersection of service science and AI. It offers critical insights and practical strategies, making it a valuable resource for those working in scientific research for services, LLMs, and the development of intelligent systems.

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Weitere Infos & Material


The Complexity of Modern Crises.- The Philosophy of Systems Intelligence.- The Impact of Parallel Intelligence.- New AI and New Platforms.- Case Studies and Scenarios Engineering.- Ecological Intelligence for Future Humanity.


Fei-Yue Wang received his Ph.D. in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, New York in 1990. He is the State Specially Appointed Expert and the Funding Director of the State Key Laboratory for Management and Control of Complex Systems, CASIA, Distinguished Professor at Macau University of Science and Technology, the President of CAA Supervision Council, the EiC and Funding EiC of many academic journals, including International Journal of Intelligent Control and Systems, IEEE Intelligent Transportation Systems Magazine, IEEE Intelligent Systems, IEEE Trans. on Intelligent Transportation Systems, IEEE Trans. on Computational Social Systems, IEEE Trans. on Intelligent Vehicles, IEEE/CAA Journal of Automatica Sinica, and China's Acta Automatica Sinica, Journal of Intelligent Science and Technology, and Journal of Command and Control. He is also the Theodore von Karman Professor at the Obuda University’s Desci Center of Parallel Intelligence, Budapest, Hungary. His current research focuses on methods and applications of parallel intelligence, social computing, and knowledge automation.



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