LEADER 03860nam 22006255 450 001 9911015868303321 005 20250703130241.0 010 $a3-031-85316-4 024 7 $a10.1007/978-3-031-85316-6 035 $a(MiAaPQ)EBC32196049 035 $a(Au-PeEL)EBL32196049 035 $a(CKB)39578192100041 035 $a(DE-He213)978-3-031-85316-6 035 $a(OCoLC)1527304256 035 $a(EXLCZ)9939578192100041 100 $a20250703d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future $eProceedings of SOHOMA 2024 /$fedited by Theodor Borangiu, Damien Trentesaux, Paulo Leitão, Christoph Legat 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (569 pages) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1197 311 08$a3-031-85315-6 330 $aThis book centres on methods and tools for data sharing in a secure way and on value-adding application of artificial intelligence (AI) in industrial production and logistics for the transformation to data-driven industry of the future. The scientific theme of the book is ?Industrial Artificial Intelligence in the Data-driven Industry of the Future: Models, Architectures, and Applications? which is focused on exploring the intricacies of cross-enterprise data sharing and the strategic use of AI within manufacturing systems. An important analysis is offered to reveal the interconnections between research, regulation and standardization of artificial intelligence and digital twins in Industry 4.0 from an European perspective. The novelty of this approach consists in analysing the ethical risks associated with the use of generative AI techniques in industrial systems and their short-, medium- and long-term impact on performance and human well-being protection. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence. The book?s readership is comprised by researchers and engineers working in the value chain of products and processes including material sourcing, production, consumption and disposal/recycling processes, who develop digital control solutions in the ?Industry of the Future? vision. The book also addresses to master and Ph.D. students enrolled in engineering sciences programs. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v1197 606 $aComputational intelligence 606 $aIndustrial engineering 606 $aProduction engineering 606 $aMultiagent systems 606 $aComputational Intelligence 606 $aIndustrial and Production Engineering 606 $aMultiagent Systems 615 0$aComputational intelligence. 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 0$aMultiagent systems. 615 14$aComputational Intelligence. 615 24$aIndustrial and Production Engineering. 615 24$aMultiagent Systems. 676 $a006.3 700 $aBorangiu$b Theodor$01833436 701 $aTrentesaux$b Damien$01833437 701 $aLeitão$b Paulo$01280702 701 $aLegat$b Christoph$01833438 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911015868303321 996 $aService Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future$94408347 997 $aUNINA