Self-Evolvable Systems Machine Learning in Social Media [Paperback]

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.

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.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.

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 concepls3