Overview
- Investigates in which way social concepts, such as trust, can be used in the course of the design and the implementation of technical self-organizing systems in order to increase their efficiency and robustness
- These investigations significantly distinguishes the books contributions from existing publications in the field of Organic Computing and self-organizing systems
- Contributions will range from methods for controlling emergent behavior over trust-based self-organization and self-optimization algorithms as well as adaptive trust-based user interfaces to software engineering guidelines for open self-organizing systems
Part of the book series: Autonomic Systems (ASYS)
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About this book
This book treats the computational use of social concepts as the focal point for the realisation of a novel class of socio-technical systems, comprising smart grids, public display environments, and grid computing.
These systems are composed of technical and human constituents that interact with each other in an open environment. Heterogeneity, large scale, and uncertainty in the behaviour of the constituents and the environment are the rule rather than the exception.
Ensuring the trustworthiness of such systems allows their technical constituents to interact with each other in a reliable, secure, and predictable way while their human users are able to understand and control them.
"Trustworthy Open Self-Organising Systems" contains a wealth of knowledge, from trustworthy self-organisation mechanisms, to trust models, methods to measure a user's trust in a system, a discussion of social concepts beyond trust, and insights into the impact open self-organising systems will have on society.
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Keywords
Table of contents (9 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Trustworthy Open Self-Organising Systems
Editors: Wolfgang Reif, Gerrit Anders, Hella Seebach, Jan-Philipp Steghöfer, Elisabeth André, Jörg Hähner, Christian Müller-Schloer, … Theo Ungerer
Series Title: Autonomic Systems
DOI: https://doi.org/10.1007/978-3-319-29201-4
Publisher: Birkhäuser 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
Softcover ISBN: 978-3-319-29199-4Published: 27 June 2016
eBook ISBN: 978-3-319-29201-4Published: 20 June 2016
Series ISSN: 2504-3862
Series E-ISSN: 2504-3870
Edition Number: 1
Number of Pages: XIV, 244
Number of Illustrations: 22 b/w illustrations, 54 illustrations in colour