Braha / Minai / Bar-Yam Complex Engineered Systems

Science Meets Technology
1. Auflage 2007
ISBN: 978-3-540-32834-6
Verlag: Springer Berlin Heidelberg
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 396 Seiten

Reihe: Understanding Complex Systems

Recent advances in science and technology have led to a rapid increase in the complexity of most engineered systems. In many notable cases, this change has been a qualitative one rather than merely one of magnitude. A new class of Complex Engineered Systems (CES) has emerged as a result of technologies such as the Internet, GPS, wireless networking, micro-robotics, MEMS, fiber-optics and nanotechnology. These complex engineered systems are composed of many heterogeneous subsystems and are characterized by observable complex behaviors that emerge as a result of nonlinear spatio-temporal interactions among the subsystems at several levels of organization and abstraction. Examples of such systems include the World-Wide Web, air and ground traffic networks, distributed manufacturing environments, and globally distributed supply networks, as well as new paradigms such as self-organizing sensor networks, self-configuring robots, swarms of autonomous aircraft, smart materials and structures, and self-organizing computers. Understanding, designing, building and controlling such complex systems is going to be a central challenge for engineers in the coming decades.

Autoren/Hrsg.

Braha, D.

Minai, Al.A.

Bar-Yam, Y.

Braha, Dan

Minai, Ali A.

Bar-Yam, Yaneer

Inhaltsverzeichnis

1;Preface;8
2;Contents;10
3;Complex Engineered Systems: A New Paradigm;12
4;Engineering Complex Systems: Multiscale Analysis and Evolutionary Engineering;33
5;The Structure and Dynamics of Complex Product Design;51
6;On the Nature of Design;83
7;Creation of desirable complexity: strategies for designing self-organized systems;112
8;Understanding the Complexity of Design;133
9;Spiraling out of Control: Problem-Solving Dynamics in Complex Distributed Engineering Projects;152
10;The Dynamics of Collaborative Design: Insights From Complex Systems and Negotiation Research;169
11;Modularity in the Design of Complex Engineering Systems;186
12;Engineering Complex Systems;217
13;Negotiation algorithms for collaborative design settings;257
14;Information Theory — The Bridge Connecting Bounded Rational Game Theory and Statistical Physics;273
15;Engineering Amorphous Systems, Using Global-to-Local Compilation;302
16;A Machine Learning Method for Improving Task Allocation in Distributed Multi-Robot Transportation;318
17;Towards Pro-active Embodied Agents: On the Importance of Neural Mechanisms Suitable to Process Time Information;349
18;Autonomous Discovery and Functional Response to Topology Change in Self- Reconfigurable Robots;375