Overview
- Introduces and explains the Molecules of Knowledge (MoK) model for self-organisation
- Includes extensive bibliographies pointing to related work
- Useful reference for researchers and practitioners in the field of complex software systems engineering
- Includes supplementary material: sn.pub/extras
Part of the book series: Artificial Intelligence: Foundations, Theory, and Algorithms (AIFTA)
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Table of contents (10 chapters)
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Coordination of Complex Sociotechnical Systems
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Self-organisation of Knowledge in 𝓜olecules 𝓸f 𝓚nowledge
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Conclusion
Keywords
About this book
The book discusses the main issues of coordination in complex sociotechnical systems, covering distributed, self-organising, and pervasive systems. A chemistry-inspired model of coordination, a situated architecture and coordination language, and a cognitive model of interaction are the ingredients of the Molecules of Knowledge (MoK) model for self-organisation of knowledge presented in this book. The MoK technology is discussed, along with some case studies in the fields of collaborative systems, academic research, and citizen journalism.
The target audience includes researchers and practitioners in the field of complex software systems engineering. The book is also appropriate for graduate and late undergraduate students in computer science and engineering.
Authors and Affiliations
Bibliographic Information
Book Title: Coordination of Complex Sociotechnical Systems
Book Subtitle: Self-organisation of Knowledge in MoK
Authors: Stefano Mariani
Series Title: Artificial Intelligence: Foundations, Theory, and Algorithms
DOI: https://doi.org/10.1007/978-3-319-47109-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2016
Hardcover ISBN: 978-3-319-47108-2Published: 01 December 2016
Softcover ISBN: 978-3-319-83659-1Published: 05 July 2018
eBook ISBN: 978-3-319-47109-9Published: 24 November 2016
Series ISSN: 2365-3051
Series E-ISSN: 2365-306X
Edition Number: 1
Number of Pages: XVIII, 234
Number of Illustrations: 8 b/w illustrations, 58 illustrations in colour
Topics: Artificial Intelligence, Information Systems and Communication Service, Software Engineering/Programming and Operating Systems