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|a 9783319471099
|9 978-3-319-47109-9
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|a 10.1007/978-3-319-47109-9
|2 doi
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|a Q334-342
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|a Mariani, Stefano.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Coordination of Complex Sociotechnical Systems
|h [electronic resource] :
|b Self-organisation of Knowledge in MoK /
|c by Stefano Mariani.
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|a 1st ed. 2016.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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|a XVIII, 234 p. 66 illus., 58 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Artificial Intelligence: Foundations, Theory, and Algorithms,
|x 2365-306X
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|a Introduction -- Coordination of Distributed Systems -- Coordination of Selforganising Systems -- Coordination of Pervasive Systems -- Coordination of Sociotechnical Systems -- Molecules of Knowledge: Model -- Molecules of Knowledge: Technology.-. Molecules of Knowledge: Simulation -- Molecules of Knowledge: Case Studies -- Conclusions.
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|a 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.
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|a Artificial intelligence.
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|a Computer networks .
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|a Software engineering.
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|a Artificial Intelligence.
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|a Computer Communication Networks.
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|a Software Engineering.
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319471082
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776 |
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|i Printed edition:
|z 9783319471105
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|i Printed edition:
|z 9783319836591
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830 |
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|a Artificial Intelligence: Foundations, Theory, and Algorithms,
|x 2365-306X
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|u https://doi.uam.elogim.com/10.1007/978-3-319-47109-9
|z Texto Completo
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|a ZDB-2-SCS
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|a ZDB-2-SXCS
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|a Computer Science (SpringerNature-11645)
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|a Computer Science (R0) (SpringerNature-43710)
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