Collectives and the Design of Complex Systems

Kagan Tumer, David Wolpert

322 pages, parution le 29/06/2004

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Résumé

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. Partone describes how some information-processing problems can only be solved by the joint actions of large communities of computers, each running their own complex, decentralized machine-learning algorithms. Part two offers general analysis on the dynamics and structures of collectives. Finally, part three addresses economic,model-free, and control-theory approaches to designing these complex systems. The work assumes a modest understanding of basic statistics and calculus. Using an approach 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. aspects, and critical design issues pertaining to them. Computer scientists, computer engineers, and all practitioners, researchers, and graduate students with an interest in this new and growing field will find the book an authoritative introduction and resource.

Written for:
Computer science researchers, professionals, practitioners

Sommaire

A survey of collectives
Theory of collective intelligence
On learnable mechanism design
Asynchronous learning in decentralized environments
Competition between adaptive agents
Managing catastrophic changes in a collective
Effects of inter-agent communications on the collective
Man and superman--human limitations, innovation, and emergence in resource competition
Design principles for the distributed control of modular self-reconfigurable robots
Two paradigms for the design of artificial collectives
Efficiency and equity in collective systems of interacting heterogeneous agents
Selection in coevolutionary algorithms and the inverse problem
Dynamics of large autonomous computational systems
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Kagan Tumer, David Wolpert
Parution	29/06/2004
Nb. de pages	322
Format	16 x 24
Couverture	Relié
Poids	585g
Intérieur	Noir et Blanc
EAN13	9780387401652
ISBN13	978-0-387-40165-2