Predicting the Future

Completing Models of Observed Complex Systems

By:

Henry Abarbanel

Format:

Paperback / softback

Series:

Understanding Complex Systems

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Description

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 Biography:

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

Release date NZ

August 23rd, 2016

Author

Henry Abarbanel

Audience

Professional & Vocational

Edition

Softcover reprint of the original 1st ed. 2013

Illustrations

91 Illustrations, color; 6 Illustrations, black and white; XVI, 238 p. 97 illus., 91 illus. in color.

Pages

238

Series

Understanding Complex Systems

Dimensions

155x235x14

ISBN-13

9781493952380

Product ID

25697155

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