Details

Autor(en) / Beteiligte

• Müller-Schloer, Christian[Herausgeber]
• Schmeck, Hartmut[Herausgeber]
• Ungerer, Theo[Herausgeber]

Titel

Organic Computing — A Paradigm Shift for Complex Systems [electronic resource]

Auflage

1st ed. 2011

Ort / Verlag

Basel : Springer Basel

Erscheinungsjahr

2011

Link zum Volltext

• SpringerLink Books - AutoHoldings

Beschreibungen/Notizen

• Description based upon print version of record.
• Includes bibliographical references.
• Organic Computing - A Paradigm Shift for Complex Systems; Preface; Acknowledgement; Contents; Review Team; Projects; Contributors; Chapter 1: Theoretical Foundations; Chapter 1.1: Adaptivity and Self-organisation in Organic Computing Systems; 1 Introduction; 2 State of the Art; 3 Is It Self-organising or Not?; 4 System Description; 5 Robustness and Adaptivity; 6 System Classification; 6.1 Classical Feedback Control Loop System; 6.2 Configuration Space; 6.3 Limitations of Adaptivity; 6.4 Learning; 6.5 Degree of Autonomy; 6.6 Self-organising Systems
• 7 Architectures for Controlled Self-organisation7.1 Architectural Options; 7.2 Control Possibilities of OC Systems; 7.3 Roadmap to Ideal OC Systems; 8 Conclusion; 9 Outlook; References; Chapter 1.2: Quantitative Emergence; 1 Introduction; 2 The Measurement of Order; 3 Observation Model; 4 Emergence; 5 Discussion; 5.1 Limitations; 5.2 Redundancy and Emergence; 5.3 Pragmatic Information; 6 Observer/Controller Architecture; 7 Experimental Results; 7.1 Experimental Environment; 7.2 Results; 7.3 Prediction; 8 Conclusion and Outlook; References
• Chapter 1.3: Divergence Measures as a Generalised Approach to Quantitative Emergence1 Introduction; 2 State of the Art; 3 Techniques for Emergence Detection and Measurement; 3.1 Discrete Entropy Difference; 3.2 Divergence-Based Emergence Measures; 3.3 Approximations of Divergence-Based Emergence Measures; 4 Experimental Results; 4.1 From Chaos To Order; 4.2 Concept Drift; 4.3 Novelty; 5 Conclusion and Outlook; References; Chapter 1.4: Emergent Control; 1 Introduction; 2 Feedback Control and Emergent Control; 2.1 Feedback Control; 2.2 Emergent Control; 3 Examples
• 3.1 EC and FC Result in the Same Macro-behaviour3.2 Emergent Control of the Number of Clusters; 4 How to Construct Macro-to-Micro Feed-Forward Controller?; 5 Quantitative Comparison of the Performance of Emergent Control vs. Feedback Control; 6 Discussion, Conclusion, and Outlook; References; Chapter 1.5: Constraining Self-organisation Through Corridors of Correct Behaviour: The Restore Invariant Approach; 1 Introduction; 2 The Restore Invariant Approach; 2.1 A Formal View on the Restore Invariant Approach; 2.2 Behavioural Guarantees; Verification of the Functional System
• Verification of Self-x Mechanisms by Verified Result Checking3 Example Scenario; 4 Defining Corridors of Correct Behaviour; 5 Decentralised Restoration of Invariants; 5.1 Coalitions for Local Reconfiguration; 5.2 Coalition Formation Strategy; 5.3 Strategy for Local Variable Violation; 5.4 Strategy for Complete Breakdown of an Agent; 5.5 Discussion; 6 Summary and Outlook; References; Chapter 1.6: Ant Inspired Methods for Organic Computing; 1 Introduction; 2 Spatial Organisation of Work and Response-Threshold Models; Results and Discussion; Effect of Demand Distribution
• Demand Redistribution as a Third Task
• 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.
• English