1.

Record Nr.

UNINA9910254846203321

Autore

Müller-Schloer Christian

Titolo

Organic Computing – Technical Systems for Survival in the Real World / / by Christian Müller-Schloer, Sven Tomforde

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2017

ISBN

3-319-68477-9

Edizione

[1st ed. 2017.]

Descrizione fisica

1 online resource (XXVI, 578 p. 207 illus., 175 illus. in color.)

Collana

Autonomic Systems, , 2504-3862

Disciplina

005.1

Soggetti

Software engineering

Artificial intelligence

Control engineering

Robotics

Mechatronics

Software Engineering/Programming and Operating Systems

Artificial Intelligence

Control, Robotics, Mechatronics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

1 Self-organised order: Examples -- 2 Problem statement -- 3 Systems -- 4 Quantitative OC --  5 Building OC Systems --  6 Design Time to Runtime -- 7 Basic Methods -- 8 Applications -- 9 Related Approaches. - 10 Outline -- 11 Glossary.

Sommario/riassunto

This book is a comprehensive introduction into Organic Computing (OC), a technology for self-organising, self-adaptive, autonomous systems. OC has been conceived about 15 years ago. In the mean time many aspects of OC have been investigated in much detail. A DFG Priority Program and a DFG Research Unit have developed basic OC concepts and have shown their utility in practical applications. This book systematically presents the current state-of-the-art in OC. It starts with motivating examples of self-organising, self-adaptive and emergent systems, derives their common characteristics and explains the fundamental ideas for a formal characterisation of such systems. Special emphasis is given to a quantitative treatment of concepts like



self-organisation, emergence, autonomy, robustness, and adaptivity. The book shows practical examples of architectures for OC systems and their applications in traffic control, grid computing, sensor networks, robotics, and smart camera systems. The extension of single OC systems into collective systems consisting of social agents based on concepts like trust and reputation is explained. OC makes heavy use of learning and optimisation technologies; a compact overview of these technologies and related approaches to self-organising systems is provided.