The emergence of coupled sequences of classifiers
Proceedings of the third international conference on Genetic algorithms
Numerical Recipes in C++: the art of scientific computing
Numerical Recipes in C++: the art of scientific computing
Induction: Processes of Inference, Learning, and Discovery
Induction: Processes of Inference, Learning, and Discovery
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
A derived Markov process for modeling reaction networks
Evolutionary Computation
Evolving artificial cell signaling networks using molecular classifier systems
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
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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.