Pasts of Determinism: A Note on (Ian) Hacking

Bibliography

• Anderson, Chris. “The End of Theory.” Wired, June 23, 2008.
   Google Scholar
• Bender, Emily M., Timnit Gibru, Angelina McMillan-Major, and Shmargaret Shmitchell. “The Dangers of Stochastic Parrots: Can Language Models Be Too Big?” In Conference on Fairness, Accountability, and Transparency (FAccT ’21), March 2–10, 2021, Virtual Event, Canada, 610-623. New York, NY: ACM, 2021.
   Google Scholar
• Beyerchen, Alan D. “Nonlinear Science and the Unfolding of a New Intellectual Vision.” Papers in Comparative Studies 6 (1990): 25–49.
   Google Scholar
• Champneys, A. R., and P. Várkonyi. “The Painlevé paradox in contact mechanics.” IMA Journal of Applied Mathematics 81, no. 3 (2016): 538–588.
   Web of Science ®Google Scholar
• D'Eramo, Marco. “Rule by Target.” New Left Review Sidecar. October 15, 2021. https://newleftreview.org/sidecar/posts/rule-by-target.
   Google Scholar
• Earman, John. "How Determinism Can Fail in Classical Physics and How Quantum Physics Can (Sometimes) Provide a Cure." Philosophy of Science 75, no. 5 (2008): 817–829.
   Web of Science ®Google Scholar
• Gleick, James. Chaos: Making a New Science. New York: Penguin, 2008.
   Google Scholar
• Gleick, James. “James Gleick Responds.” The Mathematical Intelligencer 11, no. 3 (1989): 8–9.
   Google Scholar
• Grint, Keith. Fuzzy Management: Contemporary Ideas and Practices at Work. Oxford: Oxford University Press, 1997.
   Google Scholar
• Hacking, Ian. “Nineteenth Century Cracks in the Concept of Determinism.” Journal of the History of Ideas 44, no. 3 (1983): 455–475.
   Web of Science ®Google Scholar
• Hacking, Ian. The Taming of Chance. Cambridge: Cambridge University Press, 1990.
   Google Scholar
• Han, Byung-Chul. Psychopolitics: Neoliberalism and New Technologies of Power. London: Verso, 2017.
   Google Scholar
• Hansen, Anders. “On the Foundations of Computational Mathematics, Smale’s 18th Problem, and the Potential Limits of AI.” Lecture at the Princeton Center for Statistics and Machine Learning, June 15, 2020. https://csml.princeton.edu/events/foundations-computational-mathematics-smales-18th-problem-and-potential-limits-ai
   Google Scholar
• Harari, Yuval Noah. “The Era of the Corona Virus: Living in a New Reality.” Interview by Romi Noimark. October 29, 2020. https://www.youtube.com/watch?v=ltJTRnNLYqY&t=1480s.
   Google Scholar
• Hirsch, Morris. “Chaos, Rigor and Hype.” The Mathematical Intelligencer 11, no. 3 (1989): 6–8.
   Web of Science ®Google Scholar
• Holman, Peggy. “Complexity, Self-Organization, and Emergence.” In Dialogic Organization Development: The Theory and Practice of Transformational Change, edited by G. R. Bushe and R. J. Marshak, 123–149. Oakland, CA: Berrett-Koehler, 2015.
   Google Scholar
• Jensen, Pablo. Your Life in Numbers: Modeling Society Through Data. New York: Springer, 2021.
   Google Scholar
• Malament, David. “Norton's Slippery Slope.” Philosophy of Science 75, no. 5 (2008): 799–816.
   Web of Science ®Google Scholar
• Matheson, Carl, and Evan Kirchhoff. “Chaos and Literature.” Philosophy and Literature 21, no. 1 (1997): 28–45.
   Web of Science ®Google Scholar
• Meillassoux, Quentin. “Iteration, Reiteration, Repetition: A Speculative Analysis of the Meaningless Sign.” Lecture at Freie Universität Berlin, April 20, 2012. https://www.scribd.com/doc/179509229/Iteration-Reiteration-Repetition.
   Google Scholar
• Moretti, Franco. “Graphs, Maps, Trees: Abstract Models for Literary History – 1.” New Left Review 24 (2003): 67–93.
   Google Scholar
• Norton, John D. “The Dome: An Unexpectedly Simple Failure of Determinism.” Philosophy of Science 75, no. 5 (2008): 786–798.
   Web of Science ®Google Scholar
• O'Neil, Cathy. Weapons of Math Destruction. New York: Crown, 2016.
   Google Scholar
• Pascale, R. T. “Surfing the edge of chaos.” MIT Sloan Management Review 40, no. 3 (1999): 83–94.
   Google Scholar
• Prigogine, Ilya, and Isabelle Stengers. Order out of Chaos. New York: Bantham, 1984.
   Google Scholar
• Roth, Paul A., and Thomas A. Ryckman. “Chaos, Clio, and Scientific Illusions of Understanding.” History and Theory 34, no. 1 (1995): 3–44.
   Web of Science ®Google Scholar
• Ruelle, David. Chance and Chaos. Princeton, NJ: Princeton University Press, 1990.
   Google Scholar
• Smale, Stephen. “Mathematical problems for the next century.” The Mathematical Intelligencer 20 (1998): 7–15.
   Web of Science ®Google Scholar
• Suchting, Wal. “Althusser’s Late Thinking About Materialism.” Historical Materialism 12, no. 1 (2004): 3–70.
   Google Scholar
• Supiot, Alain. Governance by Numbers: The Making of a Legal Model of Allegiance. Oxford: Hart, 2017.
   Google Scholar
• Vegard, Antun, Matthew J. Colbrook, and Anders Hasen. “Proving Existence is Not Enough: Mathematical Paradoxes Unravel the Limits of Neural Networks in Artificial Intelligence.” SIAM News, May 2, 2022: https://sinews.siam.org/Details-Page/proving-existence-is-not-enough-mathematical-paradoxes-unravel-the-limits-of-neural-networks-in-artificial-intelligence.
   Google Scholar
• Wheatley, Margaret J. Leadership and the New Science: Discovering Order in a Chaotic World. Oakland, CA: Berrett-Koelher, 2006.
   Google Scholar
• Wilson, Mark. “What is 'Classical Mechanics' Anyway?” In The Oxford Handbook of Philosophy of Physics, edited by Robert Batterman, 43–106. Oxford: Oxford University Press, 2013.
   Google Scholar
• Xia, Z. “The existence of non-collision singularities in newtonian systems.” The Annals of Mathematics 135 (1992): 411–468.
   Web of Science ®Google Scholar
• Zeleny, Milan. “Obituary: Erich Jantsch (1929-1980).” Human Systems Management 2 (1981): 119.
   Google Scholar