Self-Evolvable Systems: Machine Learning in Social Media
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Bibliographische Detailangaben
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Berlin, Heidelberg Springer Berlin Heidelberg 2012
Schriftenreihe:Understanding Complex Systems
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Online-Zugang:TUM01
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Beschreibung:Introduction -- General Framework -- Differential Models -- Informational Criteria -- Self-Evolvability for Physical and Chemical Systems -- Self-Evolvability for Biosystems -- Self-Evolvability for Cognitive Systems -- Control Systems -- Manufacturing Systems -- Concept Lattices -- Design of Experiments -- Perspectives.
This monograph presents key method to successfully manage the growing  complexity of systems  where conventional engineering and scientific methodologies and technologies based on learning and adaptability come to their limits and new ways are nowadays required. The transition from adaptable to evolvable and finally to self-evolvable systems is highlighted, self-properties such as self-organization, self-configuration, and self-repairing are introduced and challenges and limitations of the self-evolvable engineering systems are evaluated.
Beschreibung:1 Online-Ressource
ISBN:9783642288821
DOI:10.1007/978-3-642-28882-1

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