Reading list.

The primary papers, in order. Where one is freely available, its arXiv identifier is given.

Computational mechanics

1. N. H. Packard, J. P. Crutchfield, J. D. Farmer and R. S. Shaw. Geometry from a time series. Physical Review Letters 45 (1980) 712-716.
2. J. P. Crutchfield and K. Young. Inferring statistical complexity. Physical Review Letters 63 (1989) 105-108.
3. J. P. Crutchfield. The calculi of emergence: computation, dynamics, and induction. Physica D 75 (1994) 11-54.
4. C. R. Shalizi and J. P. Crutchfield. Computational mechanics: pattern and prediction, structure and simplicity. Journal of Statistical Physics 104 (2001) 817-879. arXiv:cond-mat/9907176.
5. J. P. Crutchfield and D. P. Feldman. Regularities unseen, randomness observed: levels of entropy convergence. CHAOS 13 (2003) 25-54.
6. D. P. Feldman, C. S. McTague and J. P. Crutchfield. The organization of intrinsic computation. Chaos 18 (2008) 043106. arXiv:0806.4789.
7. J. P. Crutchfield, C. J. Ellison and J. R. Mahoney. Time's barbed arrow. Physical Review Letters 103 (2009) 094101. arXiv:0902.1209.
8. J. P. Crutchfield. Between order and chaos. Nature Physics 8 (2012) 17-24.
9. C. C. Strelioff and J. P. Crutchfield. Bayesian structural inference for hidden processes. Physical Review E 89 (2014) 042119. arXiv:1309.1392.
10. N. Barnett and J. P. Crutchfield. Computational mechanics of input-output processes: structured transformations and the epsilon-transducer. Journal of Statistical Physics 161 (2015) 404-451. arXiv:1412.2690.
11. J. P. Crutchfield. The origins of computational mechanics: a brief intellectual history and several clarifications. arXiv:1710.06832 (2017).

Related work

1. C. E. Shannon. A mathematical theory of communication. Bell System Technical Journal 27 (1948) 379-423, 623-656.
2. J. Pearl. Causality: Models, Reasoning, and Inference. Cambridge University Press (2000).
3. K. Friston. The free-energy principle: a unified brain theory? Nature Reviews Neuroscience 11 (2010) 127-138.