Collectives and the design of complex systems
Author(s)
Bibliographic Information
Collectives and the design of complex systems
Springer, c2004
- : hbk
Available at 7 libraries
-
Kobe University Library for Science and Technology
: hbk548-83-176030200403227,
548-83-176037200600228
Note
Includes bibliographical references and index
Description and Table of Contents
Description
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. Part one 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.Integrates theory with real-world practice.
Table of Contents
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.
by "Nielsen BookData"