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Autonomous Systems - Self-Organization, Management, and Control: Proceedings of the 8th International Workshop held at Shanghai Jiao Tong University, Shanghai, China, October 6-7, 2008
 
 
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Autonomous Systems - Self-Organization, Management, and Control: Proceedings of the 8th International Workshop held at Shanghai Jiao Tong University, Shanghai, China, October 6-7, 2008 [Hardcover]

Bernd Mahr (Editor), Huanye Sheng (Editor)

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Book Description

1402088884 978-1402088889 November 17, 2008 1
The 2008 TUB-SJTU joint workshop on “Autonomous Systems – Self-Organization, Management, and Control” was held on October 6, 2008 at Shanghai Jiao Tong University, Shanghai, China. The workshop, sponsored by Shanghai Jiao Tong University and Technical University of Berlin brought together scientists and researchers from both universities to present and discuss the latest progress on autonomous systems and its applications in diverse areas. Autonomous systems are designed to integrate machines, computing, sensing, and software to create intelligent systems capable of interacting with the complexities of the real world. Autonomous systems represent the physical embodiment of machine intelligence. Topics of interest include, but are not limited to theory and modeling for autonomous systems; organization of autonomous systems; learning and perception; complex systems; multi-agent systems; robotics and control; applications of autonomous systems.

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The International Workshop on "Autonomous Systems - Self-Organization, Management, and Control " is the eighth in a successful series of workshops that were established by Shanghai Jiao Tong University and Technische Universitat Berlin. The goal of these workshops is to bring together researchers from both universities in order to present research results to an international community. In recent years autonomy of action has become a broadly desirable property of systems which operate in complex technical, societal and natural environments. Moving or flying robots, for example, need to act on sensor data in real time, semantic services need to adapt to changing requirements of their users, and information systems which are based on huge information sources, like the World Wide Web, need to select information in view of their user's opinions and interests. To develop such systems and applications advanced techniques, algorithms, languages, methodologies, and architectures are required, which allow for self-organization, selfmanagement, and self-control. Reporting on recent developments in autonomous systems and on studies of their specification and analysis, this workshop addresses the following topics: Techniques of Sensing and Recognition Applications of Autonomous Behavior Self-Reference and Formal Analysis Architecting and Management Opinion Mining and User Interest

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
autonomic computing, small size helicopters, detecting drowsiness, recolor message, head pose perception, broker pointers, broker overlay network, finding user interests, broker overlay topology, root broker, aerial cranes, child brokers, multiple helicopters, pattern generation method, slung load, load transportation, discriminant matrix, sub classifiers, virtual wind tunnels, mixfix syntax, subjective sentence, biped robot, pipeline level, swarm systems, transportation system based
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Autonomous Systems, Springer Science, Business Media, Technische Universität Berlin, International Conference, Shanghai Jiao Tong University, New York, Passive Inverted Pendulum Model, Slung Load Transportation System Based, Efficient Biped Pattern Generation Based, Geometrical Approaches, Flying Sensors, Head Pose Perception Based, Driving Simulation Based, Lecture Notes, Computer Science, Specification Techniques, Enabling Autonomous Self-Optimisation, Online Game Control, Journal of Machine Learning Research, Neural Networks, Clinical Neurophysiology, Towards the Application of Process Calculi, Topic Identification Based, Compositionality of Aspect Weaving
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