Hector Zenil, Narsis A. Kiani, Jesper Tegnér.
Algorithmic Information Dynamics: a computational approach to causality with applications to living systems.
CUP. 2023
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
to solve general inverse problems.
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 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.