Collectives and the Design of Complex Systems (eBook, PDF)

Redaktion: Tumer, Kagan; Wolpert, David

• Format: PDF

Produktbeschreibung

With the advent of extremely affordable computing power, the world is becoming filled with distributed systems of computationally sophisticated components. However, no current scientific discipline offers a thorough understanding of the relation of such "collectives" and how well they meet performance criteria. "Collectives and Design of Complex Systems" lays the foundation for the study of collective intelligence and how these entities can be developed to yield optimal performance. Using an approach that integrates key theoretical principles with applications in real-world scenarios, the author surveys the latest research on the dynamics of collectives, their artificial intelligence aspects, and critical design issues pertaining to them.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 323
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781441989093
• Artikelnr.: 44179170

Inhaltsangabe

1. A Survey of Collectives.- 2. Theory of Collective Intelligence.- 3. On Learnable Mechanism Design.- 4. Asynchronous Learning in Decentralized Environments: A Game-Theoretic Approach.- 5. Competition between Adaptive Agents: Learning and Collective Efficiency.- 6. Managing Catastrophic Changes in a Collective.- 7. Effects of Interagent Communications on the Collective.- 8. Man and Superman: Human Limitations, Innovation, and Emergence in Resource Competition.- 9. Design Principles for the Distributed Control of Modular Self-Reconfigurable Robots.- 10. Two Paradigms for the Design of Artificial Collectives.- 11. Efficiency and Equity in Collective Systems of Interacting Heterogeneous Agents.- 12. Selection in Coevolutionary Algorithms and the Inverse Problem.- 13. Dynamics of Large Autonomous Computational Systems.- About the Editors.

Rezensionen

From the reviews: "From the cybernetics point of view complex systems embrace a great number of disciplines ... . this text is concerned with a computer-science viewpoint and addresses issues in the design of complex systems. It is presented as a collection of chapters which although independent make up a readable whole. The book is highly recommended by several writers and reviewers." (C.J.H. Mann, Kybernetes: The International Journal of Systems & Cybernetics, (34) 5, 2005)