List of Publications

1. M.D. Robinson, D.P. Feldman, and S.R. McKay. Local Entropy and Structure in a Two-Dimensional Frustrated System. Chaos. In press. 2011.

2. D.P. Feldman, C.S. McTague, and J.P. Crutchfield. The Organization of Intrinsic Computation: Complexity-Entropy Diagrams and the Diversity of Natural Information Processing. Chaos. 18:043106. 2008. DOI: 10.1063/1.2991106. Also available at: arXiv:0806.4789v1.

3. D.P. Feldman and J.P. Crutchfield, Synchronizing to Periodicity: The Transient Information and Synchronization Time of Periodic Sequences. Advances in Complex Systems. 7(3-4): 329-355, 2004.

4. D.P. Feldman and J.P. Crutchfield, Structural Information in Two-Dimensional Patterns: Entropy Convergence and Excess Entropy. Physical Review E. 67:051104. 2003.

5. J.P. Crutchfield and D.P. Feldman, Regularities Unseen, Randomness Observed: The Entropy Convergence Hierarchy. Chaos, 15: 25-54. 2003.

6. J.P. Crutchfield and D.P. Feldman, Synchronizing to the Environment: Information Theoretic Constraints on Agent Learning. Advances in Complex Systems, 4:251-264, 2001.

7. J. P. Crutchfield, D. P. Feldman, and C. R. Shalizi, Comment I on ``Simple Measure for Complexity''. Physical Review E, 62:(2), pp. 2996-7, 2000.

8. D. P. Feldman, Computational Mechanics of Classical Spin Systems, Ph.D. Dissertation, Physics Department, University of California, Davis, (September, 1998).

9. D.P. Feldman and J. P. Crutchfield, Discovering Non-critical Organization: Statistical Mechanical, Information Theoretic, and Computational Views of Patterns in Simple One-Dimensional Spin Systems. Santa Fe Institute Working Paper 98-04-026.

10. D. P. Feldman and J.P. Crutchfield, Statistical Measures of Complexity: Why? Physics Letters A, 238:(4-5), 244-252, 1998.

11. J. P. Crutchfield and D. P. Feldman, Statistical Complexity of Simple One-Dimensional Spin Systems, Physical Review E, 55:(2), R1239-42. 1997.

Book Reviews

1. Review of "Complex and Adaptive Dynamical Systems". Physics Today, 62(7):58-9, July 2009.
   
   
2. Review of "Monte Carlo Methods in Statistical Physics", by M.E.J. Newman and G.T. Barkema. Computers in Science and Engineering, 2:73-4, 2000.

Unpublished

• You might also want to look at a set of lecture notes on information theory, entropy convergence and computational mechanics that I developed. These should provide a moderately gentle introduction to many of the theoretical tools I use in my research.