Self-Evolvable Systems

Machine Learning in Social Media
2012
ISBN: 978-3-642-28881-4
Verlag: Springer

Buch, Englisch, 278 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 617 g

Reihe: Understanding Complex Systems

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.

Zielgruppe

Research

Autoren/Hrsg.

Iordache, Octavian

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Social Media, Semantic Web, Web 2.0

Inhaltsverzeichnis

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.