Composition Theory

Author: Zhang Xuewen
Publisher:
Publish Date: 2003-12-01
Features: Many phenomena involve compositional (component, constitution) issues. The author's established theory of composition provides a unified conceptual model, analytical tools, computational methods, and principles for understanding these issues. It analyzes the composition of phenomena through three concepts: generalized sets, distribution functions, and complexity. It also reveals that all phenomena with randomness adhere to the Complexity Principle. The theory of composition is closely related to systems science, complexity studies, information theory, and the second law of thermodynamics. This book introduces many applications of the theory in natural and social sciences and proposes important arguments such as the principle of non-growth of information and the mutual transformation of different forms of complexity (the law of complexity). Theoretical workers in the fields of natural sciences, social sciences, and philosophy, as well as technology experts with exploratory interests and graduate students, can draw new ideas, concepts, methods, and theories from this book and apply them to their own fields.
Many phenomena involve compositional (component, constitution) issues. The author's established theory of composition provides a unified conceptual model, analytical tools, computational methods, and principles for understanding these issues. It analyzes the composition of phenomena through three concepts: generalized sets, distribution functions, and complexity. It also reveals that all phenomena with randomness adhere to the Complexity Principle. The theory of composition is closely related to systems science, complexity studies, information theory, and the second law of thermodynamics. This book introduces many applications of the theory in natural and social sciences and proposes important arguments such as the principle of non-growth of information and the mutual transformation of different forms of complexity (the law of complexity). Theoretical workers in the fields of natural sciences, social sciences, and philosophy, as well as technology experts with exploratory interests and graduate students, can draw new ideas, concepts, methods, and theories from this book and apply them to their own fields.