Books & Videos

Table of Contents

  1. Chapter 1 Complexity Science

    1. What Is This Book About?

    2. A New Kind of Science

    3. Paradigm Shift?

    4. The Axes of Scientific Models

    5. A New Kind of Model

    6. A New Kind of Engineering

    7. A New Kind of Thinking

  2. Chapter 2 Graphs

    1. What’s a Graph?

    2. Representing Graphs

    3. Random Graphs

    4. Connected Graphs

    5. Paul Erdős: Peripatetic Mathematician, Speed Freak

    6. Iterators

    7. Generators

  3. Chapter 3 Analysis of Algorithms

    1. Order of Growth

    2. Analysis of Basic Python Operations

    3. Analysis of Search Algorithms

    4. Hashtables

    5. Summing Lists

    6. pyplot

    7. List Comprehensions

  4. Chapter 4 Small World Graphs

    1. Analysis of Graph Algorithms

    2. FIFO Implementation

    3. Stanley Milgram

    4. Watts and Strogatz

    5. Dijkstra

    6. What Kind of Explanation Is That?

  5. Chapter 5 Scale-Free Networks

    1. Zipf’s Law

    2. Cumulative Distributions

    3. Continuous Distributions

    4. Pareto Distributions

    5. Barabási and Albert

    6. Zipf, Pareto, and Power Laws

    7. Explanatory Models

  6. Chapter 6 Cellular Automata

    1. Stephen Wolfram

    2. Implementing CAs

    3. CADrawer

    4. Classifying CAs

    5. Randomness

    6. Determinism

    7. Structures

    8. Universality

    9. Falsifiability

    10. What Is This a Model Of?

  7. Chapter 7 Game of Life

    1. Implementing Life

    2. Life Patterns

    3. Conway’s Conjecture

    4. Realism

    5. Instrumentalism

    6. Turmites

  8. Chapter 8 Fractals

    1. Fractal CAs

    2. Percolation

  9. Chapter 9 Self-Organized Criticality

    1. Sand Piles

    2. Spectral Density

    3. Fast Fourier Transform

    4. Pink Noise

    5. Reductionism and Holism

    6. SOC, Causation, and Prediction

  10. Chapter 10 Agent-Based Models

    1. Thomas Schelling

    2. Agent-Based Models

    3. Traffic Jams

    4. Boids

    5. Prisoner’s Dilemma

    6. Emergence

    7. Free Will

  11. Chapter 11 Case Study: Sugarscape

    1. The Original Sugarscape

    2. The Occupy Movement

    3. A New Take on Sugarscape

    4. Taxation and the Leave Behind

    5. The Gini Coefficient

    6. Results with Taxation

    7. Conclusion

  12. Chapter 12 Case Study: Ant Trails

    1. Introduction

    2. Model Overview

    3. API Design

    4. Sparse Matrices

    5. wx

    6. Applications

  13. Chapter 13 Case Study: Directed Graphs and Knots

    1. Directed Graphs

    2. Implementation

    3. Detecting Knots

    4. Knots in Wikipedia

  14. Chapter 14 Case Study: The Volunteer’s Dilemma

    1. The Prairie Dog’s Dilemma

    2. Analysis

    3. The Norms Game

    4. Results

    5. Improving the Chances

  1. Appendix Call for Submissions

  2. Appendix Reading List

  3. Colophon