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Introduction to the Modeling and Analysis of Complex Systems

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CONTENTSxviiIII <strong>Systems</strong> with a Large Number <strong>of</strong> Variables 17110 Interactive Simulation <strong>of</strong> <strong>Complex</strong> <strong>Systems</strong> 17310.1 Simulation <strong>of</strong> <strong>Systems</strong> with a Large Number <strong>of</strong> Variables . . . . . . . . . . . 17310.2 Interactive Simulation with PyCX . . . . . . . . . . . . . . . . . . . . . . . . 17410.3 Interactive Parameter Control in PyCX . . . . . . . . . . . . . . . . . . . . . 18010.4 Simulation without PyCX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18111 Cellular Au<strong>to</strong>mata I: <strong>Modeling</strong> 18511.1 Definition <strong>of</strong> Cellular Au<strong>to</strong>mata . . . . . . . . . . . . . . . . . . . . . . . . . 18511.2 Examples <strong>of</strong> Simple Binary Cellular Au<strong>to</strong>mata Rules . . . . . . . . . . . . . 19011.3 Simulating Cellular Au<strong>to</strong>mata . . . . . . . . . . . . . . . . . . . . . . . . . . 19211.4 Extensions <strong>of</strong> Cellular Au<strong>to</strong>mata . . . . . . . . . . . . . . . . . . . . . . . . 20011.5 Examples <strong>of</strong> Biological Cellular Au<strong>to</strong>mata Models . . . . . . . . . . . . . . . 20112 Cellular Au<strong>to</strong>mata II: <strong>Analysis</strong> 20912.1 Sizes <strong>of</strong> Rule Space <strong>and</strong> Phase Space . . . . . . . . . . . . . . . . . . . . . 20912.2 Phase Space Visualization . . . . . . . . . . . . . . . . . . . . . . . . . . . 21112.3 Mean-Field Approximation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21512.4 Renormalization Group <strong>Analysis</strong> <strong>to</strong> Predict Percolation Thresholds . . . . . 21913 Continuous Field Models I: <strong>Modeling</strong> 22713.1 Continuous Field Models with Partial Differential Equations . . . . . . . . . 22713.2 Fundamentals <strong>of</strong> Vec<strong>to</strong>r Calculus . . . . . . . . . . . . . . . . . . . . . . . . 22913.3 Visualizing Two-Dimensional Scalar <strong>and</strong> Vec<strong>to</strong>r Fields . . . . . . . . . . . . 23613.4 <strong>Modeling</strong> Spatial Movement . . . . . . . . . . . . . . . . . . . . . . . . . . . 24113.5 Simulation <strong>of</strong> Continuous Field Models . . . . . . . . . . . . . . . . . . . . . 24913.6 Reaction-Diffusion <strong>Systems</strong> . . . . . . . . . . . . . . . . . . . . . . . . . . . 25914 Continuous Field Models II: <strong>Analysis</strong> 26914.1 Finding Equilibrium States . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26914.2 Variable Rescaling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27314.3 Linear Stability <strong>Analysis</strong> <strong>of</strong> Continuous Field Models . . . . . . . . . . . . . 27514.4 Linear Stability <strong>Analysis</strong> <strong>of</strong> Reaction-Diffusion <strong>Systems</strong> . . . . . . . . . . . 28515 Basics <strong>of</strong> Networks 29515.1 Network Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29515.2 Terminologies <strong>of</strong> Graph Theory . . . . . . . . . . . . . . . . . . . . . . . . . 296

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