This book presents key methods 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 required.

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.

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

Inhalt
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.