| Description |
1 online resource (xxx, 627 pages) |
| Series |
Autonomic systems |
|
Autonomic systems.
|
| 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 |
| 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 networks of intelligent systems surrounding us open fascinating application areas and at the same time bear the problem of their controllability. Hence, we have to construct such systems as robust, safe, flexible, and trustworthy as possible. In particular, a strong orientation towards human needs as opposed to a pure implementation of the technologically possible seems absolutely central. The technical systems, which can achieve these goals will have to exhibit life-like or "organic" properties. "Organic Computing Systems" adapt dynamically to their current environmental conditions. In order to cope with unexpected or undesired events they are self-organising, self-configuring, self-optimising, self-healing, self-protecting, self-explaining, and context-aware, while offering complementary interfaces for higher-level directives with respect to the desired behaviour. First steps towards adaptive and self-organising computer systems are being undertaken. Adaptivity, reconfigurability, emergence of new properties, and self-organisation are hot topics in a variety of research groups worldwide. This book summarises the results of a 6-year priority research program (SPP) of the German Research Foundation (DFG) addressing these fundamental challenges in the design of Organic Computing systems. It presents and discusses the theoretical foundations of Organic Computing, basic methods and tools, learning techniques used in this context, architectural patterns and many applications. The final outlook shows that in the mean-time Organic Computing ideas have spawned a variety of promising new projects |
| Bibliography |
Includes bibliographical references |
| Notes |
English |
|
Print version record |
| Subject |
Natural computation
|
|
Self-organizing systems.
|
|
Self-organizing systems -- Data processing.
|
|
COMPUTERS -- Enterprise Applications -- Business Intelligence Tools.
|
|
COMPUTERS -- Intelligence (AI) & Semantics.
|
|
Informatique.
|
|
Natural computation
|
|
Self-organizing systems
|
|
Self-organizing systems -- Data processing
|
| Form |
Electronic book
|
| Author |
Müller-Schloer, Christian
|
|
Schmeck, Hartmut, 1950-
|
|
Ungerer, Theo, 1954-
|
| ISBN |
9783034801300 |
|
3034801300 |
|
3034801297 |
|
9783034801294 |
|
