## Complex systems: from biology to computation |

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### Contents

The Emergence of Connectivity and Fractal Time in the Evolution of Random | 12 |

The WaveCluster Model of WaterProtein Interactions | 36 |

Pattern Formation in Physical and Biological Growth | 55 |

Copyright | |

24 other sections not shown

### Common terms and phrases

activity algorithm analysis application artificial Australia automaton behaviour binary biological boundary bounded brooding corals C3I systems cells cellular automata chaos chaos theory cluster complex systems components connectivity consider constraints converge cortex curve database defined digraph distance distribution domain dynamical systems effect emergent entities environment equation equilibrium points evolution evolving example excitatory expansion Figure finite fractal dimensions function genetic algorithm given global graph growth Hamiltonian circuit image model information systems input interactions iterations L-Systems language larvae layers learning Liapunov function mapping matrix method mutation neural networks neurons nodes output parallel computer parameters patterns permeability pixels problem processors properties protein random reefs represent rules scale Science Section sensor sequence shown shows simulated annealing simulation Soft Systems Methodology space spatial string structure surface theory topology trajectories transitions Turing Machine values vector virus viruses wear particles