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Self-Evolvable Systems: Machine Learning in Social Media: Understanding Complex Systems

Autor Octavian Iordache
en Limba Engleză Hardback – 5 iul 2012
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.
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Specificații

ISBN-13: 9783642288814
ISBN-10: 3642288812
Pagini: 400
Ilustrații: XXII, 278 p.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.57 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Understanding Complex Systems

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Introduces the paradigm of self-evolvability enabling the reader to combine technological, socioeconomical, and scientific aspects of complexity into one concentrated expression Emphasizing the multiple features involved by self-evolvability, with a focus on innovative concepts and models Includes various case studies representing a source of inspiration for emerging methods, technologies and systems in their needed transition from adaptable and evolvable towards self-evolvable