Predicting the Future Completing Models of Observed Complex Systems /

• Main Author: Abarbanel, Henry. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: Understanding Complex Systems,
• Subjects: Physics.; Neurosciences.; Computer simulation.; Statistical Physics, Dynamical Systems and Complexity.; Complex Systems.; Numerical and Computational Physics.; Simulation and Modeling.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-7218-6

Predicting the Future: Completing Models of Observed Complex Systems provides a general framework for the discussion of model building and validation across a broad spectrum of disciplines. This is accomplished through the development of an exact path integral for use in transferring information fro...

Table of Contents:

• Preface
• 1 An Overview; The Challenge of Complex Systems
• 2 Examples as a Guide to the Issues
• 3 General Formulation of Statistical Data Assimilation
• 4 Evaluating the Path Integral
• 5 Twin Experiments
• 6 Analysis of Experimental Data.