Predicting the Future: Completing Models of Observed Complex Systems

Through the development of an exact path integral for use in transferring information from observations to a model of the observed system, the author provides a general framework for the discussion of model building and evaluation across disciplines. Through many illustrative examples drawn from models in neuroscience, geosciences, and nonlinear electrical circuits, the concepts are exemplified in detail. Practical numerical methods for approximate evaluations of the path integral are explored, and their use in designing experiments and determining a model's consistency with observations is explored.

Author: Henry Abarbanel
Publisher: Springer
Published: 06/11/2013
Pages: 238
Binding Type: Hardcover
Weight: 1.10lbs
Size: 9.20h x 6.20w x 0.80d
ISBN: 9781461472179

About the Author
Henry Abarbanel is a new member of the Springer Complexity Board. He is a Professor of Physics at UCSD in La Jolla, CA. http: //neurograd.ucsd.edu/faculty/detail.php?id=1