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

За: Інтелектуальна відповідальність: Вид матеріалу: Текст Серія: Autonomic SystemsПублікація: Cham : Springer International Publishing : Imprint: Birkhäuser, 2017Видання: 1st ed. 2017Опис: XXVI, 578 p. 207 illus., 175 illus. in color. online resourceТип вмісту:
  • text
Тип засобу:
  • computer
Тип носія:
  • online resource
ISBN:
  • 9783319684772
Тематика(и): Додаткові фізичні формати: Printed edition:: Немає назви; Printed edition:: Немає назвиДесяткова класифікація Дьюї:
  • 005.1 23
Класифікація Бібліотеки Конгресу:
  • QA76.758
Електронне місцезнаходження та доступ:
Вміст:
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.
У: Springer eBooksЗведення: 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.
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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.

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.

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