BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Algorithmic Information Dynamics: A Computational Approach to Causality with Applications to Living Systems

Algorithmic Information Dynamics: A Computational Approach to Causality with Applications to Living Systems

Algorithmic Information Dynamics: A Computational Approach to Causality with
Stock photo: cover may vary

Algorithmic Information Dynamics: A Computational Approach to Causality with Applications to Living Systems Other -

Add to wish list
  • New
New

Description

. Other. New.
Ask the seller a question Add to wish list
A$136.09
A$5.86 Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Ships from Cold Books (New York, United States)

Details

  • Title Algorithmic Information Dynamics: A Computational Approach to Causality with Applications to Living Systems
  • Binding Other
  • Condition New
  • Publication date
  • Features Bibliography, Glossary, Index
  • Bookseller's Inventory # 6395978502
  • ISBN 9781108497664
  • Quantity available 1

About Cold Books New York, United States

Biblio member since 2012

Terms of Sale: 30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Cold Books

Reader reviews for Algorithmic Information Dynamics: A Computational Approach to Causality with Applications to Living Systems

From the publisher

Biological systems are extensively studied as interactions forming complex networks. Reconstructing causal knowledge from, and principles of, these networks from noisy and incomplete data is a challenge in the field of systems biology. Based on an online course hosted by the Santa Fe Institute Complexity Explorer, this book introduces the field of Algorithmic Information Dynamics, a model-driven approach to the study and manipulation of dynamical systems . It draws tools from network and systems biology as well as information theory, complexity science and dynamical systems to study natural and artificial phenomena in software space. It consists of a theoretical and methodological framework to guide an exploration and generate computable candidate models able to explain complex phenomena in particular adaptable adaptive systems, making the book valuable for graduate students and researchers in a wide number of fields in science from physics to cell biology to cognitive sciences.
tracking-