Camarinha-Matos / Ortiz / Boucher | Hybrid Human-AI Collaborative Networks | Buch | 978-3-032-05680-1 | sack.de

Buch, Englisch, 535 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 996 g

Reihe: IFIP Advances in Information and Communication Technology

Camarinha-Matos / Ortiz / Boucher

Hybrid Human-AI Collaborative Networks

26th IFIP WG 5.5 SOCOLNET Working Conference on Virtual Enterprises, PRO-VE 2025, Porto, Portugal, October 27-29, 2025, Proceedings, Part II
Erscheinungsjahr 2025
ISBN: 978-3-032-05680-1
Verlag: Springer

26th IFIP WG 5.5 SOCOLNET Working Conference on Virtual Enterprises, PRO-VE 2025, Porto, Portugal, October 27-29, 2025, Proceedings, Part II

Buch, Englisch, 535 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 996 g

Reihe: IFIP Advances in Information and Communication Technology

ISBN: 978-3-032-05680-1
Verlag: Springer


This two-volume set, IFIP AICT 770-771, constitutes the refereed proceedings of the 26th IFIP WG 5.5 SOCOLNET Working Conference on Virtual Enterprises on Hybrid Human-AI Collaborative Networks, PRO-VE 2025, held in Porto, Portugal, during October 27-29, 2025.

 The 60 full papers were carefully reviewed and selected from 126 submissions. These papers are organized around the following main topics:

·         Society 5.0,  AI as a driver for Collaboration, Collaborative Risk and Crisis Management, AI for Logistics and Supply Chain, Technologies for Adaptable Collaborative Networks,  People-Centered and AI-driven Processes,  Multi-agent Systems for Hybrid Human-AI Collaboration, Collaborative Healthcare Networks, Human-Robot Collaboration, Collaborative Workspaces, Transition towards Collaborative Organizations 5.0, Trust and Trustworthiness in Hybrid Human-AI Collaboration, AI-driven Manufacture-as-a-Service, AI and Simulation-supported Decision-Making, Work Sharing in Human-AI Collaboration, Collaboration in Sustainability.

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Zielgruppe


Research

Weitere Infos & Material


Human-Robot Collaboration in Future Enterprises.- Enabling Proactive Industrial Cobots: An Artificial Intelligence Approach to Enhanced HRC.- Application of AI-Enhanced Processes for Industrial Stone Scanning Machines.- Methods for Measuring the Effectiveness of Human-AI Collaboration in an Organization.- Multi-Agent Systems for Hybrid Human-AI Collaboration in Industry.- An Agentic Framework for Rapid Deployment of Edge AI Solutions in Industry 5.0.- A Human-Centric Agent Architecture for Hybrid Industrial Collaboration in Industry 5.0.- Generative AI as a Catalyst for Collaborative Knowledge Management: Impacts Across Individual, Intra, and Inter-Organizational levels.- Future Collaborative Workspaces in Organizations 5.0.- Navigating the Future of AI Integration: Competency Development, Ethical Considerations, and Workforce Adaptability in „Organizations 5.0”.- A Process-Oriented Framework for Operationalising Agile Transformation.- Educational Pathways for Industry 5.0: Development and Evaluation of a Collaborative Learning Cube Defining Learning Objectives, Curriculum Structure, and Certification Processes across Different Professional Levels.- Transition towards Collaborative Organizations 5.0: Methods.- Regionally Conditioned Development Paths in Hybrid Collaborative Networks.- Comparison of Interfirm Collaboration Forms Based on Risk Assessment: Toward a Functional Economy.- Transition to Organisation 5.0 - Barriers and Enablers of AI Adoption in Accounting and Finance.- Transition towards Collaborative Organizations 5.0: Cases Studies.- Augmented Reality-based Human-AI Remote Collaboration Model for Industry 5.0 - A Case Study on the Inspection of Pressed-Metal Components.- Nursing Home 5.0: A Case Study of Collaborative Approach for Working Organization Co-design.- Democratizing Software Development: Low-Code as an Educational Pathway towards Sustainable and Collaborative Organizations.- Facilitating Agile Transformation Through Business Process Standardisation – a Case Study.- Trust and Trustworthiness in Hybrid Human-AI Collaborative Networks.-   AI-driven Sliding Work Sharing for Human-Robot / Human-AI Collaboration.- Impact of Collaboration in Sustainability.



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