Computational Mechanics: Natural Computation and Self-Organization

**Abstract. ** The tutorial explores how nature's structure reflects how
nature computes. It reviews intrinsic unpredictability (deterministic chaos)
and the emergence of structure (self-organization) in natural complex systems.
Using statistical mechanics, information theory, and computation theory, it
develops a systematic framework for analyzing processes in terms of their causal
architecture. This is determined by answering three questions: (i)
How much historical information does a process store? (ii) How is that information
stored? And (iii) how is the stored information used to produce future behavior?
The answers to these questions tell one how a system intrinsically computes.

For the tutorial, here are the articles, going from less to more technical (that is, the recommended reading order):

- Is Anything Ever New? Considering Emergence
- Regularities Unseen, Randomness Observed: Levels of Entropy Convergence
- The Calculi of Emergence: Computation, Dynamics, and Induction
- Computational Mechanics: Pattern and Prediction, Structure and Simplicity
- The Organization of Intrinsic Computation: Complexity-Entropy Diagrams and the Diversity of Natural Information Processing
- Structure or Noise?