Self-evolvable systems : machine learning in social media
Author(s)
Bibliographic Information
Self-evolvable systems : machine learning in social media
（Understanding complex systems / founding editor, J.A. Scott Kelso）（Springer complexity）
Springer, c2012
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
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.
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