Self-Evolvable Systems - Machine Learning in Social Media

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.

List of contents

From the content: Introduction.- Methodological resources.- Conventional PSM frames.- New PSM frames.- Mixing in Chemical Reactors.- Compartmental Systems.- Turbulent Mixing.- Entropy.- Formal concept analysis.- Existential graphs.

Summary

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.

Product details

• Authors: Octavian Iordache
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.08.2012
• EAN: 9783642288814
• ISBN: 978-3-642-28881-4
• No. of pages: 278
• Dimensions: 161 mm x 22 mm x 244 mm
• Weight: 561 g
• Illustrations: XXII, 278 p.
• Series: Understanding Complex Systems; Understanding Complex Systems
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; B, Artificial Intelligence, complexity, Physics and Astronomy, Nonlinear science, Computational Intelligence, Dynamics & statics, Applications of Nonlinear Dynamics and Chaos Theory, Statistical physics, Nonlinear Optics, Applied Dynamical Systems, Computational complexity, Complexity;Self-Evolvability;Self-Evolvable Systems