- Adaptive stochastic cellular automata: applications. 1990. (In
)*Cellular Automata: theory and experiment* - Adaptive stochastic cellular automata: theory. 1990. (In
)*Cellular Automata: theory and experiment* - Prediction of Chaotic Time Series using CNLS-Net-Example: The Mackey-Glass Equation. 1992. (In
*Nonlinear Modeling and Forecasting*)

Flake covers the traditional subjects of fractals (snowflakes and
Mandelbrots, L-systems, affine transformations), chaos (logistic map,
bifurcations, strange attractors, controlling chaos), complex systems
(cellular automata, social insects, flocks, self-organisation), neural
networks, evolutionary algorithms, and more, from a computational
perspective. But that doesn't mean just giving code samples for the
various examples. Although plentiful C source code *is* provided
(fortunately via an ftp address, not as interminable listings), Flake's
text covers background, theory, theoretical computational aspects, a
glossary, further reading, and the like.

I could almost recommend this as an introductory textbook. The material is certainly covered to such a level, and it is well written, well laid out, and lavishly illustrated with detailed diagrams. Yet it has one draw-back: the link to the technical literature is not there. The text, for example, introduces Langton's lambda-parameter, defines it, and discusses its properties (see section 15.3); the final bibliography (but no the chapter level further reading) includes a reference to the relevant paper; but there is no explicit link from the text to this particular reference.

Despite this single caveat, this is a nice book that covers a lot of material in an accessible manner, with a depth that adds real meat to the topic.