Managing Complexity: Insights, Concepts, Applications

Dirk Helbing
Springer, 13/10/2007 - 393 páginas

Each chapter in Managing Complexity focuses on analyzing real-world complex systems and transferring knowledge from the complex-systems sciences to applications in business, industry and society. The interdisciplinary contributions range from markets and production through logistics, traffic control, and critical infrastructures, up to network design, information systems, social conflicts and building consensus. They serve to raise readers' awareness concerning the often counter-intuitive behavior of complex systems and to help them integrate insights gained in complexity research into everyday planning, decision making, strategic optimization, and policy.

Intended for a broad readership, the contributions have been kept largely non-technical and address a general, scientifically literate audience involved in corporate, academic, and public institutions.

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An Introduction
The Network Approach
Managing Autonomy and Control in Economic Systems
The Illusion of Control
Benefits and Drawbacks of Simple Models for Complex
Coping with Nonlinearity and Complexity
Repeated Auction Games and Learning Dynamics
Decentralized Approaches to Adaptive Traffic Control
Stefano Battiston Domenico Delli Gatti Mauro Gallegati 219
Bootstrapping the Long Tail in Peer to Peer Systems
Complexity in Human Conflict
Fostering Consensus in Multidimensional Continuous Opinion
MultiStakeholder Governance Emergence
Evolutionary Engineering of Complex Functional Networks
Julian Sienkiewicz Agata Fronczak Piotr Fronczak Krzysztof

Arne Kesting Martin Schönhof Stefan Lämmer Martin Treiber
Trade Credit Networks and Systemic Risk

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Página 65 - By preferring the support of domestic to that of foreign industry, he intends only his own security; and by directing that industry in such a manner as its produce may be of the greatest value, he intends only his own gain, and he is in this, as in many other cases, led by an invisible hand to promote an end which was no part of his intention.
Página 137 - a market institution with an explicit set of rules determining resource allocation and prices on the basis of bids from the market participants".
Página 35 - Community structure in social and biological networks. Proc. Natl. Acad. Sci. USA 99 (2002) 7821-7826 [15] Radicchi, F., Castellano, C., Cecconi, F., Loreto, V., Parisi, D.: Defining and identifying communities in networks.
Página 222 - The rest of the chapter is organised as follows: in Section 2, we analyze the role of FDI in export-oriented industrialisation.
Página 118 - Simulation methods for studying nonstationary behavior of computer networks," IEEE Journal on Selected Areas in Communications, Vol. 8, No. 9, pp. 1696-1708, December 1990 [2] JA Garay and IS Copal, "Call preemption in communication networks," Proceedings of INFOCOM '92, pp.
Página 174 - Deciding between the common and private value paradigms in empirical models of auctions.
Página 75 - The best way to predict the future is to invent it.
Página 21 - We conclude with a discussion of the implications of these findings for the growth potential of online vendors.

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