论文信息 - Exploring the evolution of complexity in signaling networks

Exploring the evolution of complexity in signaling networks

Signaling networks are exemplified by systems as diverse as biological cells, economic markets, and the Web. After a discussion of some general characteristics of signaling networks, this article explores the adaptive evolution of complexity in a simple model of a signaling network. The article closes with a discussion of broader questions concerning the evolution of signaling networks.

John H. Holland | J. Holland

[1] J. David Schaffer,et al. Proceedings of the third international conference on Genetic algorithms , 1989 .

[2] John H. Holland,et al. Induction: Processes of Inference, Learning, and Discovery , 1987, IEEE Expert.

[3] Rick L. Riolo,et al. The Emergence of Coupled Sequences of Classifiers , 1989, ICGA.

[4] Larry Bull,et al. Learning Classifier Systems , 2002, Annual Conference on Genetic and Evolutionary Computation.

[5] William H. Press,et al. Numerical recipes in C. The art of scientific computing , 1987 .

[6] Paul Thagard,et al. Induction: Processes Of Inference , 1989 .

[7] John von Neumann,et al. Theory Of Self Reproducing Automata , 1967 .