## Thinking in complexity: the complex dynamics of matter, mind, and mankindThe theory of nonlinear complex systems has become a successful and widely used problem-solving approach in the natural sciences - from laser physics, quantum chaos and meteorology to molecular modeling in chemistry and computer simulations of cell growth in biology. In recent times it has been recognized that many of the social, ecological and political problems of mankind are also of a global, complex and nonlinear nature. And one of the most exciting topics of present scientific and public interest is the idea that even the human mind is governed largely by the nonlinear dynamics of complex systems. In this wide-ranging but concise treatment Prof. Mainzer discusses, in nontechnical language, the common framework behind these endeavours. Special emphasis is given to the evolution of new structures in natural and cultural systems and it is seen clearly how the new integrative approach of complexity theory can give new insights that were not available using traditional reductionistic methods. |

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### Contents

Complex Systems and the Evolution | 5 |

Complex Systems and the Evolution of Matter | 15 |

Complex Systems and the Evolution of Life | 73 |

Copyright | |

5 other sections not shown

### Other editions - View all

Thinking in Complexity: The Complex Dynamics of Matter, Mind, and Mankind Klaus Mainzer Limited preview - 2013 |

Thinking in Complexity: The Complex Dynamics of Matter, Mind, and Mankind Klaus Mainzer Limited preview - 2013 |

Thinking in Complexity: The Complex Dynamics of Matter, Mind, and Mankind Klaus Mainzer Limited preview - 2013 |

### Common terms and phrases

algorithm animals Aristotle assumed atoms attractors autocatalysis behavior biological Boltzmann brain causal caused cells century chaos chaotic chemical classical complex system approach complex systems concepts conservative coordinates corresponding critical value described determined deterministic dissipative systems dynamical systems economic elementary particles elements emergence energy entropy evolution equations example expert systems explained fluctuations forces fractal framework of complex function geometric global Hamiltonian systems human initial input instance interpreted layer Leibniz linear machine macroscopic mathematical modern molecules motion nature neural networks neurons Newton's Newtonian nonlinear interactions observed Obviously order parameters organisms oscillators output pattern pendulum phase portrait phase space phase transitions philosophers physics populations possible principle problem procedure quantum mechanics quantum systems region represented second law Sect self-organization sense simulated social society strategy structure superposition symmetry breaking synergetic teleology theory thermal equilibrium thermodynamics tion trajectories Turing Turing machine vector field velocity visualized