Titlebook: Learning and Coordination; Enhancing Agent Perf Steven H. Kim Book 1994 Springer Science+Business Media Dordrecht 1994 agents.autonomous ag

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tifizierungsprozesse gezielt vorbereiten.?Der Besitz geistigen Eigentums, sei es in Form von Patenten, Marken oder Designs, und sein m?glichst ideales Management gewinnen für Unternehmen und die Wirtschaft insgesamt rasant an Bedeutung. Dieses Problembewusstsein ist zwar in vielen Unternehmen vorhan

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Introduction and Framework 1,Learning systems are characterized by a number of common features. This chapter presents a unified framework for adaptive systems. The framework comprises conceptual and formal constructs based on a modular representation of functional elements. The overall architecture is interpreted in specific contexts relating to robotics and production.

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Conclusion,A hallmark of intelligent systems is the ability to learn. Despite the rich set of examples of learning in the biological realm, synthetic systems tend to learn poorly, if at all. A better understanding of the nature and mechanisms of learning should enable designers to better emulate the abilities of natural systems.

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Case Study in Coordination, rather than as individuals, their coordination can become more critical for system performance than their individual capabilities. The deployment strategies and communication modes play an important role in the coordination of these teams.

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Learning and Coordination978-94-011-1016-7Series ISSN 2213-8986 Series E-ISSN 2213-8994

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Intelligent Systems, Control and Automation: Science and Engineeringhttp://image.papertrans.cn/l/image/582874.jpg

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