Bibliography

This bibliography is organized into three tiers reflecting different levels of source verification. Readers seeking to go deeper should begin with Tier 1 sources, which are landmark works directly relevant to the book's themes.

Tier 1: Verified Sources

These are published works with full bibliographic details. Each has been directly referenced in the text and is recommended for further reading.

Foundational Works on Pattern and Analogy

  1. Hofstadter, Douglas R. Godel, Escher, Bach: An Eternal Golden Braid. New York: Basic Books, 1979.

  2. Hofstadter, Douglas R., and Emmanuel Sander. Surfaces and Essences: Analogy as the Fuel and Fire of Thinking. New York: Basic Books, 2013.

  3. Polya, George. How to Solve It: A New Aspect of Mathematical Method. Princeton: Princeton University Press, 1945.

  4. Gentner, Dedre. "Structure-Mapping: A Theoretical Framework for Analogy." Cognitive Science 7, no. 2 (1983): 155-170.

Complexity Science and Systems Thinking

  1. Meadows, Donella H. Thinking in Systems: A Primer. White River Junction, VT: Chelsea Green Publishing, 2008.

  2. Holland, John H. Hidden Order: How Adaptation Builds Complexity. Reading, MA: Addison-Wesley, 1995.

  3. Kauffman, Stuart. At Home in the Universe: The Search for the Laws of Self-Organization and Complexity. New York: Oxford University Press, 1995.

  4. Mitchell, Melanie. Complexity: A Guided Tour. New York: Oxford University Press, 2009.

  5. Strogatz, Steven H. Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering. Boulder: Westview Press, 1994.

  6. Epstein, Joshua M. Generative Social Science: Studies in Agent-Based Computational Modeling. Princeton: Princeton University Press, 2006.

  7. Waldrop, M. Mitchell. Complexity: The Emerging Science at the Edge of Order and Chaos. New York: Simon & Schuster, 1992.

  8. Bar-Yam, Yaneer. Dynamics of Complex Systems. Reading, MA: Addison-Wesley, 1997.

Scaling, Networks, and Power Laws

  1. West, Geoffrey. Scale: The Universal Laws of Growth, Innovation, Sustainability, and the Pace of Life in Organizations, Cities, Economies, and Companies. New York: Penguin Press, 2017.

  2. Barabasi, Albert-Laszlo. Linked: The New Science of Networks. Cambridge, MA: Perseus Publishing, 2002.

  3. Newman, Mark. Networks: An Introduction. Oxford: Oxford University Press, 2010.

  4. Mandelbrot, Benoit B. The Fractal Geometry of Nature. San Francisco: W.H. Freeman, 1982.

  5. Bak, Per. How Nature Works: The Science of Self-Organized Criticality. New York: Copernicus Books, 1996.

Risk, Uncertainty, and Decision-Making

  1. Taleb, Nassim Nicholas. The Black Swan: The Impact of the Highly Improbable. New York: Random House, 2007.

  2. Taleb, Nassim Nicholas. Antifragile: Things That Gain from Disorder. New York: Random House, 2012.

  3. Taleb, Nassim Nicholas. Skin in the Game: Hidden Asymmetries in Daily Life. New York: Random House, 2018.

  4. Kahneman, Daniel. Thinking, Fast and Slow. New York: Farrar, Straus and Giroux, 2011.

  5. Simon, Herbert A. Models of Bounded Rationality. 3 vols. Cambridge, MA: MIT Press, 1982-1997.

  6. Simon, Herbert A. The Sciences of the Artificial. 3rd ed. Cambridge, MA: MIT Press, 1996.

  7. Gigerenzer, Gerd. Gut Feelings: The Intelligence of the Unconscious. New York: Viking, 2007.

Information Theory and Epistemology

  1. Shannon, Claude E., and Warren Weaver. The Mathematical Theory of Communication. Urbana: University of Illinois Press, 1949.

  2. Gleick, James. The Information: A History, a Theory, a Flood. New York: Pantheon Books, 2011.

  3. Polanyi, Michael. The Tacit Dimension. Garden City, NY: Doubleday, 1966.

  4. Polanyi, Michael. Personal Knowledge: Towards a Post-Critical Philosophy. Chicago: University of Chicago Press, 1958.

  5. Kuhn, Thomas S. The Structure of Scientific Revolutions. Chicago: University of Chicago Press, 1962. (50th Anniversary Edition, 2012.)

Order, Legibility, and Institutional Design

  1. Scott, James C. Seeing Like a State: How Certain Schemes to Improve the Human Condition Have Failed. New Haven: Yale University Press, 1998.

  2. Hayek, Friedrich A. "The Use of Knowledge in Society." American Economic Review 35, no. 4 (1945): 519-530.

  3. Ostrom, Elinor. Governing the Commons: The Evolution of Institutions for Collective Action. New York: Cambridge University Press, 1990.

  4. Jacobs, Jane. The Death and Life of Great American Cities. New York: Random House, 1961.

  5. Chesterton, G.K. The Thing: Why I Am a Catholic. London: Sheed & Ward, 1929. (Contains the original "fence" passage.)

Evolution, Cooperation, and Game Theory

  1. Darwin, Charles. On the Origin of Species by Means of Natural Selection. London: John Murray, 1859.

  2. Axelrod, Robert. The Evolution of Cooperation. New York: Basic Books, 1984.

  3. Dawkins, Richard. The Selfish Gene. Oxford: Oxford University Press, 1976.

  4. Ridley, Matt. The Red Queen: Sex and the Evolution of Human Nature. New York: Penguin Books, 1993.

  5. Nowak, Martin A. SuperCooperators: Altruism, Evolution, and Why We Need Each Other to Succeed. New York: Free Press, 2011.

Engineering, Failure, and Resilience

  1. Perrow, Charles. Normal Accidents: Living with High-Risk Technologies. New York: Basic Books, 1984. (Updated edition, Princeton University Press, 1999.)

  2. Petroski, Henry. To Engineer Is Human: The Role of Failure in Successful Design. New York: St. Martin's Press, 1985.

  3. Reason, James. Human Error. Cambridge: Cambridge University Press, 1990.

  4. Hollnagel, Erik, David D. Woods, and Nancy Leveson, eds. Resilience Engineering: Concepts and Precepts. Aldershot: Ashgate, 2006.

Innovation, Discovery, and Creativity

  1. Johnson, Steven. Where Good Ideas Come From: The Natural History of Innovation. New York: Riverhead Books, 2010.

  2. Merton, Robert K. The Sociology of Science: Theoretical and Empirical Investigations. Chicago: University of Chicago Press, 1973.

  3. Arthur, W. Brian. The Nature of Technology: What It Is and How It Evolves. New York: Free Press, 2009.

  4. Burke, James. Connections. Boston: Little, Brown and Company, 1978.

Biology and Lifecycle Patterns

  1. Thompson, D'Arcy Wentworth. On Growth and Form. Cambridge: Cambridge University Press, 1917. (Abridged edition, 1961.)

  2. Gould, Stephen Jay. Wonderful Life: The Burgess Shale and the Nature of History. New York: W.W. Norton, 1989.

  3. Wilson, Edward O. Consilience: The Unity of Knowledge. New York: Alfred A. Knopf, 1998.

Additional Essential References

  1. Wiener, Norbert. Cybernetics: Or Control and Communication in the Animal and the Machine. Cambridge, MA: MIT Press, 1948.

  2. Forrester, Jay W. Industrial Dynamics. Cambridge, MA: MIT Press, 1961.

  3. Senge, Peter M. The Fifth Discipline: The Art and Practice of the Learning Organization. New York: Doubleday, 1990.

  4. Hardin, Garrett. "The Tragedy of the Commons." Science 162, no. 3859 (1968): 1243-1248.

  5. Granovetter, Mark S. "The Strength of Weak Ties." American Journal of Sociology 78, no. 6 (1973): 1360-1380.

  6. Korzybski, Alfred. Science and Sanity: An Introduction to Non-Aristotelian Systems and General Semantics. Lancaster, PA: International Non-Aristotelian Library, 1933.

  7. Gladwell, Malcolm. The Tipping Point: How Little Things Can Make a Big Difference. New York: Little, Brown and Company, 2000.

  8. Christensen, Clayton M. The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail. Boston: Harvard Business School Press, 1997.

  9. Star, Susan Leigh, and James R. Griesemer. "Institutional Ecology, 'Translations' and Boundary Objects." Social Studies of Science 19, no. 3 (1989): 387-420.

  10. Goodhart, Charles A.E. "Problems of Monetary Management: The U.K. Experience." In Papers in Monetary Economics, vol. 1. Sydney: Reserve Bank of Australia, 1975.

Tier 2: Attributed Claims

These entries reference specific researchers, studies, or findings that are attributed by name in the text. In some cases, the specific publication is a composite of multiple works by the researcher or the claim represents a well-known finding in the literature.

  1. Abraham Wald / WWII aircraft survivorship analysis. Statistical analysis showing that bombers should be reinforced where returning planes were not damaged, since planes hit in those areas did not return. The story as commonly told may combine elements from multiple wartime statistical research projects at the Statistical Research Group, Columbia University (1943-1945). See: Mangel, Marc, and Francisco J. Samaniego. "Abraham Wald's Work on Aircraft Survivability." Journal of the American Statistical Association 79, no. 386 (1984): 259-267.

  2. Albert-Laszlo Barabasi / preferential attachment in networks. The finding that many real-world networks grow through preferential attachment, producing scale-free degree distributions. Barabasi, A.-L., and R. Albert. "Emergence of Scaling in Random Networks." Science 286, no. 5439 (1999): 509-512.

  3. Amos Tversky and Daniel Kahneman / heuristics and biases research program. Multiple studies from the 1970s-2000s demonstrating systematic departures from rational decision-making. Key papers include Tversky, A., and Kahneman, D. "Judgment under Uncertainty: Heuristics and Biases." Science 185, no. 4157 (1974): 1124-1131.

  4. Brian Arthur / increasing returns and path dependence in economics. Arthur, W. Brian. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events." Economic Journal 99 (1989): 116-131.

  5. Clay Shirky / power-law distributions in online participation. Observation that online participation follows power-law patterns, with a small minority producing most content. Multiple essays and talks, synthesized in Shirky, Clay. Here Comes Everybody. New York: Penguin, 2008.

  6. Dietrich Dorner / complexity and decision-making failures. Experimental studies showing how people fail to manage complex systems with delayed feedback. Dorner, Dietrich. The Logic of Failure. Cambridge, MA: Perseus Books, 1996.

  7. Elinor Ostrom / self-governance of common-pool resources. Empirical research showing that communities can successfully manage commons without privatization or central regulation, under certain institutional conditions. Multiple field studies summarized in her Nobel Prize lecture (2009).

  8. Emmy Noether / symmetry and conservation laws. Noether, E. "Invariante Variationsprobleme." Nachrichten von der Gesellschaft der Wissenschaften zu Gottingen, Mathematisch-Physikalische Klasse (1918): 235-257.

  9. Galileo Galilei / square-cube law and scaling. Discussion of why large and small structures cannot simply be scaled versions of each other. Galilei, Galileo. Dialogues Concerning Two New Sciences (1638).

  10. Geoffrey West, James Brown, and Brian Enquist / metabolic scaling theory. West, G.B., Brown, J.H., and Enquist, B.J. "A General Model for the Origin of Allometric Scaling Laws in Biology." Science 276, no. 5309 (1997): 122-126.

  11. Herbert Simon / bounded rationality and satisficing. Simon, H.A. "A Behavioral Model of Rational Choice." Quarterly Journal of Economics 69, no. 1 (1955): 99-118.

  12. Howard Raiffa / decision analysis under uncertainty. Raiffa, Howard. Decision Analysis: Introductory Lectures on Choices under Uncertainty. Reading, MA: Addison-Wesley, 1968.

  13. James Reason / Swiss cheese model of accident causation. The concept that accidents require failures in multiple layers of defense to align. Formalized across multiple publications in the 1990s.

  14. John Ioannidis / "most published research findings are false." Ioannidis, J.P.A. "Why Most Published Research Findings Are False." PLoS Medicine 2, no. 8 (2005): e124.

  15. Mark Granovetter / threshold models of collective behavior. Granovetter, Mark. "Threshold Models of Collective Behavior." American Journal of Sociology 83, no. 6 (1978): 1420-1443.

  16. Max Planck / science advances one funeral at a time. Often attributed as "science progresses one funeral at a time," this paraphrases Planck's reflection in his Scientific Autobiography (1949): "A new scientific truth does not triumph by convincing its opponents... but rather because its opponents eventually die."

  17. Nassim Taleb / the concept of antifragility. The systematic framework distinguishing fragile (harmed by volatility), robust (unaffected), and antifragile (benefiting from volatility) systems. Developed across the Incerto series (2001-2018).

  18. Per Bak, Chao Tang, and Kurt Wiesenfeld / self-organized criticality. Bak, P., Tang, C., and Wiesenfeld, K. "Self-Organized Criticality: An Explanation of the 1/f Noise." Physical Review Letters 59, no. 4 (1987): 381-384.

  19. Philip Tetlock / expert political judgment. Finding that expert forecasters performed barely better than chance. Tetlock, Philip E. Expert Political Judgment: How Good Is It? How Can We Know? Princeton: Princeton University Press, 2005.

  20. Robert Merton / multiple discovery and the sociology of science. Merton, Robert K. "Singletons and Multiples in Scientific Discovery." Proceedings of the American Philosophical Society 105, no. 5 (1961): 470-486.

  21. Robin Dunbar / social brain hypothesis and Dunbar's number. The observation that primate neocortex size correlates with social group size, suggesting a cognitive limit of approximately 150 stable relationships for humans. Dunbar, R.I.M. "Neocortex Size as a Constraint on Group Size in Primates." Journal of Human Evolution 22, no. 6 (1992): 469-493.

  22. Stuart Kauffman / the adjacent possible in biology. The concept that biological and chemical evolution can only explore configurations one step away from current states. Kauffman, Stuart. Investigations. New York: Oxford University Press, 2000.

  23. Thomas Schelling / models of segregation. Schelling, Thomas C. "Dynamic Models of Segregation." Journal of Mathematical Sociology 1, no. 2 (1971): 143-186.

  24. Ward Cunningham / technical debt metaphor. First articulated at the 1992 OOPSLA conference. Cunningham, Ward. "The WyCash Portfolio Management System." OOPSLA '92 Experience Report (1992).

  25. Vilfredo Pareto / the 80/20 principle and Pareto distributions. Observations on wealth distribution first published in Pareto, Vilfredo. Cours d'economie politique. Lausanne: University of Lausanne, 1896-1897.

  26. George Box / "all models are wrong." Box, George E.P. "Science and Statistics." Journal of the American Statistical Association 71, no. 356 (1976): 791-799. The full quote: "All models are wrong, but some are useful."

  27. Donella Meadows / leverage points in systems. Meadows, Donella H. "Leverage Points: Places to Intervene in a System." Sustainability Institute (1999). Later published in Thinking in Systems (2008).

  28. Duncan Watts / small-world networks. Watts, Duncan J., and Steven H. Strogatz. "Collective Dynamics of 'Small-World' Networks." Nature 393 (1998): 440-442.

  29. Rittel and Webber / wicked problems. Rittel, Horst W.J., and Melvin M. Webber. "Dilemmas in a General Theory of Planning." Policy Sciences 4, no. 2 (1973): 155-169.

  30. George Lakoff and Mark Johnson / conceptual metaphor theory. Lakoff, George, and Mark Johnson. Metaphors We Live By. Chicago: University of Chicago Press, 1980.

Tier 3: Illustrative Examples and Composite Cases

Throughout the text, certain examples, case studies, and scenarios have been constructed, combined, or simplified for pedagogical purposes. These are marked by language such as "consider a scenario," "imagine that," or "a composite example."

Specifically: - Case studies that combine elements from multiple real events to illustrate a pattern more clearly are identified as composite where they appear in the text. - Thought experiments and hypothetical scenarios are used throughout to demonstrate how patterns apply in novel contexts. - Quantitative examples (e.g., specific percentages, growth rates, failure rates) are illustrative unless a specific source is cited. They are chosen to demonstrate mathematical relationships rather than to report empirical findings. - Historical anecdotes that circulate widely but may be apocryphal (such as the precise details of the "cobra effect" in colonial Delhi) are noted as such in the text.

The pedagogical philosophy behind illustrative examples: The goal of this book is to train pattern recognition, not to serve as a reference work in any single domain. Composite examples allow the essential pattern to be presented without the confounding details that would be necessary in a discipline-specific treatment. Readers seeking empirical rigor in a specific domain should consult the Tier 1 and Tier 2 sources above, as well as the "Further Reading" section at the end of each chapter.

How to Use This Bibliography

  • Starting from scratch? Begin with entries 5 (Meadows), 21 (Kahneman), 18 (Taleb, Black Swan), and 29 (Kuhn). These four books provide the strongest foundation for the themes of this textbook.
  • Want more on complexity? Read entries 6 (Holland), 7 (Kauffman), 8 (Mitchell), and 11 (Waldrop).
  • Interested in networks and scaling? Start with entries 13 (West), 14 (Barabasi), and 17 (Bak).
  • Focused on decision-making? Entries 21 (Kahneman), 22-23 (Simon), 24 (Gigerenzer), and 36 (Axelrod) are essential.
  • Drawn to the philosophy of knowledge? Entries 27-28 (Polanyi), 29 (Kuhn), 30 (Scott), and 56 (Korzybski) form a core reading list.
  • For the mathematically inclined: Entries 9 (Strogatz), 15 (Newman), 16 (Mandelbrot), and 25 (Shannon) provide the formal foundations.

This bibliography is current as of the publication date. For updated recommendations and additional resources, consult the companion website.