| Dewey Class |
519 |
| Title |
Collectives and the Design of Complex Systems ([EBook] /) / edited by Kagan Tumer, David Wolpert. |
| Added Personal Name |
Tumer, Kagan editor. |
| Wolpert, David editor. |
| Other name(s) |
SpringerLink (Online service) |
| Publication |
New York, NY : : Springer New York : : Imprint: Springer, , 2004. |
| Physical Details |
XI, 323 p. : online resource. |
| ISBN |
9781441989093 |
| Summary Note |
Increasingly powerful computers are making possible distributed systems comprised of many adaptive and self-motivated computational agents. Such systems, when distinguished by system-level performance criteria, are known as "collectives." Collectives and the Design of Complex Systems lays the foundation for a science of collectives and describes how to design them for optimal performance. An introductory survey chapter is followed by descriptions of information-processing problems that can only be solved by the joint actions of large communities of computers, each running its own complex, decentralized machine-learning algorithm. Subsequent chapters analyze the dynamics and structures of collectives, as well as address economic, model-free, and control-theory approaches to designing complex systems. The work assumes a modest understanding of basic statistics and calculus. Topics and Features: Introduces the burgeoning science of collectives and its practical applications in a single useful volume Combines approaches from known researchers in the physics, economics, game theory, biology, and artificial intelligence (A.I.) communities Analyzes the role of information transmission in collectives, such as in the minority game, specific game theory scenarios, and computational ecologies Presents a broad view of state-of-the-art techniques and developments in the field Describes the benefits and promise of collectives-based design of systems, and explores recent challenges faced by researchers Highlights the interdisciplinary value to studying and using collectives Provides a comprehensive subject index and chapter-ending bibliographies With an accessible style that integrates key theoretical principles with applications in real-world scenarios, this unique monograph surveys the latest research on the dynamics of collectives, their A.I.-related aspects, and critical design issues pertaining to them. Computer scientists, computer engineers, and practitioners, researchers, and graduate students with an interest in this new and growing field will find the book an authoritative introduction and resource.: |
| Contents note |
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. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users) |
| Internet Site |
http://dx.doi.org/10.1007/978-1-4419-8909-3 |
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