Collectives and the Design of Complex Systems

Edited by Kagan Tumer and David Wolpert

in Springer Books from Springer

Date: 2004
ISBN: 978-1-4419-8909-3
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Chapters in this book:

Ch 1 A Survey of Collectives

Kagan Tumer and David Wolpert

Ch 2 Theory of Collective Intelligence

David Wolpert

Ch 3 On Learnable Mechanism Design

David C. Parkes

Ch 4 Asynchronous Learning in Decentralized Environments: A Game-Theoretic Approach

Eric J. Friedman

Ch 5 Competition between Adaptive Agents: Learning and Collective Efficiency

Damien Challet

Ch 6 Managing Catastrophic Changes in a Collective

David Lamper, Paul Jefferies, Michael Hart and Neil F. Johnson

Ch 7 Effects of Interagent Communications on the Collective

Zoltán Toroczkai, Marian Anghel, György Korniss and Kevin E. Bassler

Ch 8 Man and Superman: Human Limitations, Innovation, and Emergence in Resource Competition

Robert Savit, Katia Koelle, Wendy Treynor and Richard Gonzalez

Ch 9 Design Principles for the Distributed Control of Modular Self-Reconfigurable Robots

Arancha Casal and Tad Hogg

Ch 10 Two Paradigms for the Design of Artificial Collectives

Kristina Lerman and Aram Galstyan

Ch 11 Efficiency and Equity in Collective Systems of Interacting Heterogeneous Agents

Akira Namatame and Saori Iwanaga

Ch 12 Selection in Coevolutionary Algorithms and the Inverse Problem

Sevan Ficici, Ofer Melnik and Jordan Pollack

Ch 13 Dynamics of Large Autonomous Computational Systems

Tad Hogg and Bernardo A. Huberman

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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-1-4419-8909-3

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DOI: 10.1007/978-1-4419-8909-3

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