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Modeling of Complex Processes and Systems: An Integrated Approach from Measurement to Cognition, provides a broad coverage of the experimental, analytical, and computational subjects included in the modeling of complex phenomena, including fundamental principles and practical applications. The book reviews the varied causes of complication and complexity and shows the convenient approaches to the study of complex phenomena. Also presented is a structured collection of modeling methods and tools from fields like: Measurement Science, Statistics, Signal Processing, Dynamical Systems Theory, and Artificial Intelligence. The material is structured around the scientific discovery methodology: each method is introduced to reduce the degree of complexity resulting from the application of a previous one. Thus, the book offers an integrated approach for building models in complex situations, which is a helpful resource for understanding and predicting the behavior of complex processes and systems.