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Organic computing-- a paradigm shift for complex systems

Author: Christian Müller-Scholer; Hartmut Schmeck; Theo Ungerer
Publisher: Basel : Springer, ©2011.
Series: Autonomic systems.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Organic Computing has emerged as a challenging vision for future information processing systems. Its basis is the insight that we will increasingly be surrounded by and depend on large collections of autonomous systems, which are equipped with sensors and actuators, aware of their environment, communicating freely, and organising themselves in order to perform actions and services required by the users. These  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Organic computing
(NL-LeOCL)339501693
(OCoLC)778586314
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Christian Müller-Scholer; Hartmut Schmeck; Theo Ungerer
ISBN: 9783034801300 3034801300 3034801297 9783034801294
OCLC Number: 728098408
Language Note: English.
Description: 1 online resource (xxx, 627 pages).
Contents: Organic Computing --
A Paradigm Shift for Complex Systems; Preface; Contents; Review Team; Projects; Contributors; Chapter 1: Theoretical Foundations; Chapter 1.1: Adaptivity and Self-organisation in Organic Computing Systems; Chapter 1.2: Quantitative Emergence; Chapter 1.3: Divergence Measures as a Generalised Approach to Quantitative Emergence; Chapter 1.4: Emergent Control; Chapter 1.5: Constraining Self-organisation Through Corridors of Correct Behaviour: The Restore Invariant Approach; Chapter 1.6: Ant Inspired Methods for Organic Computing. Chapter 1.7: Organic Computing: Metaphor or Model?Chapter 2: Methods and Tools; Chapter 2.1: Model-Driven Development of Self-organising Control Applications; Chapter 2.2: How to Design and Implement Self-organising Resource-Flow Systems; Chapter 2.3: Monitoring and Self-awareness for Heterogeneous, Adaptive Computing Systems; Chapter 2.4: Generic Emergent Computing in Chip Architectures; Chapter 2.5: Multi-objective Intrinsic Evolution of Embedded Systems; Chapter 2.6: Organisation-Oriented Chemical Programming; Chapter 2.7: Hovering Data Clouds for Organic Computing; Chapter 3: Learning. Chapter 3.1: Aspects of Learning in OC SystemsChapter 3.2: Combining Software and Hardware LCS for Lightweight On-chip Learning; Chapter 3.3: Collaborative Learning by Knowledge Exchange; Chapter 3.4: A Framework for Controlled Self-optimisation in Modular System Architectures; Chapter 3.5: Increasing Learning Speed by Imitation in Multi-robot Societies; Chapter 3.6: Learning to Look at Humans; Chapter 4: Architectures; Chapter 4.1: Observation and Control of Organic Systems; Chapter 4.2: Organic Computing Middleware for Ubiquitous Environments. Chapter 4.3: DodOrg-A Self-adaptive Organic Many-core ArchitectureChapter 4.4: The Artificial Hormone System-An Organic Middleware for Self-organising Real-Time Task Allocation; Chapter 4.5: ORCA: An Organic Robot Control Architecture; Chapter 4.6: The EPOC Architecture-Enabling Evolution Under Hard Constraints; Chapter 4.7: Autonomic System on Chip Platform; Chapter 5: Applications; Chapter 5.1: Organic Traffic Control; Chapter 5.2: Methods for Improving the Flow of Traffic; Chapter 5.3: Applying ASoC to Multi-core Applications for Workload Management. Chapter 5.4: Efficient Adaptive Communication from Resource-Restricted TransmittersChapter 5.5: OrganicBus: Organic Self-organising Bus-Based Communication Systems; Chapter 5.6: OC Principles in Wireless Sensor Networks; Chapter 5.7: Application of the Organic Robot Control Architecture ORCA to the Six-Legged Walking Robot OSCAR; Chapter 5.8: Energy-Awareness in Self-organising Robotic Exploration Teams; Chapter 5.9: A Fast Hierarchical Learning Approach for Autonomous Robots; Chapter 5.10: Emergent Computing with Marching Pixels for Real-Time Smart Camera Applications.
Series Title: Autonomic systems.
Responsibility: Christian Müller-Scholer, Hartmut Schmeck, Theo Ungerer, Editors.

Abstract:

This book discusses the theoretical foundations of Organic Computing, its methods, tools and learning techniques, architectural patterns and applications. A concluding chapter reviews new projects  Read more...

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