This book provides an accessible introduction to complex systems viewed as networks of automata, using primarily examples drawn from the physics of disordered systems, neural networks, and the origins of life. It is helpful for readers with a university education in science or engineering.
Table of Contents
1. Introduction 2. Definitions 3. Cellular Automata 4. Two-Dimensional Cellular Automata 5. The Hopfield Model 6. Beyond the Hopfield Model 7. Hidden Units 8. Statistical Physics 9. Simulated Annealing 10. Random Boolean Networks 11. Genotypes and Phenotypes 12. Conclusions