Algorithmic Information Dynamics

Algorithmic Information Dynamics: A Computational Approach to Causality with Applications to Living Systems, 1st Edition, explores the intersection of computability and causal analysis. Published by Cambridge University Press, this 344-page work outlines how dynamic phenomena in the life sciences can be modeled using algorithmic concepts.

The text covers foundational information and computability theories used to study system behavior. It also reviews network principles, tracing the progression of networks from initial structure into active dynamics.

In addition, the volume demonstrates how these analytical concepts apply to biological questions. In particular, it examines practical applications to evolutionary biology, illustrating how computational dynamics help interpret living systems.