Artificial Intelligence: Foundations, Theory, and Algorithms

Coordination of Complex Sociotechnical Systems

Self-organisation of Knowledge in MoK

Authors: Mariani, Stefano

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  • 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
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eBook 96,29 €
price for Italia (gross)
  • ISBN 978-3-319-47109-9
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  • Included format: PDF, EPUB
  • Immediate eBook download after purchase and usable on all devices
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Hardcover 124,79 €
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Softcover 124,79 €
price for Italia (gross)
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.

Table of contents (10 chapters)

Table of contents (10 chapters)

Buy this book

eBook 96,29 €
price for Italia (gross)
  • ISBN 978-3-319-47109-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover 124,79 €
price for Italia (gross)
Softcover 124,79 €
price for Italia (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Coordination of Complex Sociotechnical Systems
Book Subtitle
Self-organisation of Knowledge in MoK
Authors
Series Title
Artificial Intelligence: Foundations, Theory, and Algorithms
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-47109-9
DOI
10.1007/978-3-319-47109-9
Hardcover ISBN
978-3-319-47108-2
Softcover ISBN
978-3-319-83659-1
Series ISSN
2365-3051
Edition Number
1
Number of Pages
XVIII, 234
Number of Illustrations
8 b/w illustrations, 58 illustrations in colour
Topics