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Service oriented, holonic and multi-...
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Service Orientation in Holonic and Multi-agent Manufacturing and Robotics (Workshop) (2024 :)
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Service oriented, holonic and multi-agent manufacturing systems for industry of the future = proceedings of SOHOMA 2024 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Service oriented, holonic and multi-agent manufacturing systems for industry of the future/ edited by Theodor Borangiu ... [et al.].
Reminder of title:
proceedings of SOHOMA 2024 /
remainder title:
SOHOMA 2024
other author:
Borangiu, Theodor.
corporate name:
Service Orientation in Holonic and Multi-agent Manufacturing and Robotics (Workshop)
Published:
Cham :Springer Nature Switzerland : : 2025.,
Description:
xx, 444 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Manufacturing processes - Congresses. - Automatic control -
Online resource:
https://doi.org/10.1007/978-3-031-85316-6
ISBN:
9783031853166
Service oriented, holonic and multi-agent manufacturing systems for industry of the future = proceedings of SOHOMA 2024 /
Service oriented, holonic and multi-agent manufacturing systems for industry of the future
proceedings of SOHOMA 2024 /[electronic resource] :SOHOMA 2024edited by Theodor Borangiu ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xx, 444 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v. 11971860-9503 ;. - Studies in computational intelligence ;v. 1197..
This book centres on methods and tools for data sharing in a secure way and on value-adding application of artificial intelligence (AI) in industrial production and logistics for the transformation to data-driven industry of the future. The scientific theme of the book is "Industrial Artificial Intelligence in the Data-driven Industry of the Future: Models, Architectures, and Applications" which is focused on exploring the intricacies of cross-enterprise data sharing and the strategic use of AI within manufacturing systems. An important analysis is offered to reveal the interconnections between research, regulation and standardization of artificial intelligence and digital twins in Industry 4.0 from an European perspective. The novelty of this approach consists in analysing the ethical risks associated with the use of generative AI techniques in industrial systems and their short-, medium- and long-term impact on performance and human well-being protection. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence. The book's readership is comprised by researchers and engineers working in the value chain of products and processes including material sourcing, production, consumption and disposal/recycling processes, who develop digital control solutions in the "Industry of the Future" vision. The book also addresses to master and Ph.D. students enrolled in engineering sciences programs.
ISBN: 9783031853166
Standard No.: 10.1007/978-3-031-85316-6doiSubjects--Topical Terms:
3227063
Manufacturing processes
--Automatic control--Congresses.
LC Class. No.: TS183
Dewey Class. No.: 670.285
Service oriented, holonic and multi-agent manufacturing systems for industry of the future = proceedings of SOHOMA 2024 /
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This book centres on methods and tools for data sharing in a secure way and on value-adding application of artificial intelligence (AI) in industrial production and logistics for the transformation to data-driven industry of the future. The scientific theme of the book is "Industrial Artificial Intelligence in the Data-driven Industry of the Future: Models, Architectures, and Applications" which is focused on exploring the intricacies of cross-enterprise data sharing and the strategic use of AI within manufacturing systems. An important analysis is offered to reveal the interconnections between research, regulation and standardization of artificial intelligence and digital twins in Industry 4.0 from an European perspective. The novelty of this approach consists in analysing the ethical risks associated with the use of generative AI techniques in industrial systems and their short-, medium- and long-term impact on performance and human well-being protection. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence. The book's readership is comprised by researchers and engineers working in the value chain of products and processes including material sourcing, production, consumption and disposal/recycling processes, who develop digital control solutions in the "Industry of the Future" vision. The book also addresses to master and Ph.D. students enrolled in engineering sciences programs.
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Intelligent Technologies and Robotics (SpringerNature-42732)
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