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πŸ“

Collectives and the Design of Complex Systems

✍ Scribed by Kagan Tumer, David Wolpert (auth.), Kagan Tumer, David Wolpert (eds.)


Publisher
Springer-Verlag New York
Year
2004
Tongue
English
Leaves
328
Edition
1
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Front Matter....Pages i-xi
A Survey of Collectives....Pages 1-42
Theory of Collective Intelligence....Pages 43-106
On Learnable Mechanism Design....Pages 107-131
Asynchronous Learning in Decentralized Environments: A Game-Theoretic Approach....Pages 133-143
Competition between Adaptive Agents: Learning and Collective Efficiency....Pages 145-160
Managing Catastrophic Changes in a Collective....Pages 161-183
Effects of Interagent Communications on the Collective....Pages 185-198
Man and Superman: Human Limitations, Innovation, and Emergence in Resource Competition....Pages 199-211
Design Principles for the Distributed Control of Modular Self-Reconfigurable Robots....Pages 213-230
Two Paradigms for the Design of Artificial Collectives....Pages 231-256
Efficiency and Equity in Collective Systems of Interacting Heterogeneous Agents....Pages 257-276
Selection in Coevolutionary Algorithms and the Inverse Problem....Pages 277-294
Dynamics of Large Autonomous Computational Systems....Pages 295-315
Back Matter....Pages 317-322

✦ Subjects


Complex Systems; Artificial Intelligence (incl. Robotics); Algorithm Analysis and Problem Complexity; Computing Methodologies


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