复杂与自适应动力系统（Complex and Adaptive Dynamics Systems：A Primer）
Complex and Adaptive Dynamical Systems: A Primer
摘要：
在定量复杂系统科学领域的入门级给出了一个彻底的介绍，特别强调基于网络拓扑结构的动态系统的出现。处理的主题包括图论和小世界网络，一般介绍动力系统理论，随机布尔网络，元胞自动机和自组织临界性的概念，达尔文进化的统计建模，同步现象和认知系统理论的介绍。它包括一章图论和小世界网络，混沌，分叉和扩散，复杂性和信息理论，随机布尔网络，元胞自动机和自组织临界性，达尔文进化论，超循环和博弈论，同步现象和认知系统理论的要素。
英文摘要：
An thorough introduction is given at an introductory level to the field of quantitative complex system science, with special emphasis on emergence in dynamical systems based on network topologies. Subjects treated include graph theory and small-world networks, a generic introduction to the concepts of dynamical system theory, random Boolean networks, cellular automata and self-organized criticality, the statistical modeling of Darwinian evolution, synchronization phenomena and an introduction to the theory of cognitive systems. It inludes chapter on Graph Theory and Small-World Networks, Chaos, Bifurcations and Diffusion, Complexity and Information Theory, Random Boolean Networks, Cellular Automata and Self-Organized Criticality, Darwinian evolution, Hypercycles and Game Theory, Synchronization Phenomena and Elements of Cognitive System Theory.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
