Complex Engineered Systems
Springer Berlin (Verlag)
978-3-540-32831-5 (ISBN)
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.
Complex Engineered Systems: A New Paradigm.- Engineering Complex Systems: Multiscale Analysis and Evolutionary Engineering.- The Structure and Dynamics of Complex Product Design.- On the Nature of Design.- Creation of desirable complexity: strategies for designing selforganized systems.- Understanding the Complexity of Design.- Spiraling out of Control: Problem-Solving Dynamics in Complex Distributed Engineering Projects.- The Dynamics of Collaborative Design: Insights From Complex Systems and Negotiation Research.- Modularity in the Design of Complex Engineering Systems.- Engineering Complex Systems.- Negotiation algorithms for collaborative design settings.- Information Theory ? The Bridge Connecting Bounded Rational Game Theory and Statistical Physics.- Engineering Amorphous Systems, Using Global-to-Local Compilation.- A Machine Learning Method for Improving Task Allocation in Distributed Multi-Robot Transportation.- Towards Pro-active Embodied Agents: On the Importance of Neural Mechanisms Suitable to Process Time Information.- Autonomous Discovery and Functional Response to Topology Change in Self-Reconfigurable Robots.
| Erscheint lt. Verlag | 22.6.2006 |
|---|---|
| Reihe/Serie | Understanding Complex Systems |
| Zusatzinfo | X, 386 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 685 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Naturwissenschaften ► Physik / Astronomie ► Astronomie / Astrophysik | |
| Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik | |
| Naturwissenschaften ► Physik / Astronomie ► Thermodynamik | |
| Schlagworte | Bridge • Communication Networks • complex engineered systems • Complexity • Complex System • Complex Systems • Game Theory • Information • Information Theory • Internet • Kommunikationsnetz • microelectromechanical system (MEMS) • nanotechnology • Online • Robotics • self-organized systems • Sensor • Technisches System |
| ISBN-10 | 3-540-32831-9 / 3540328319 |
| ISBN-13 | 978-3-540-32831-5 / 9783540328315 |
| Zustand | Neuware |
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