Bibliography:

  1. ‘philosophy’ tag

  2. ‘language’ tag

  3. Abs-E (or, speak only in the positive) § text2epositive.py experiment

  4. text2epositive.py

  5. One Man’s Modus Ponens

  6. Why concepts are (probably) vectors

  7. Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models

  8. A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models

  9. Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc

  10. Evaluating Superhuman Models with Consistency Checks

  11. LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

  12. Humans in Humans Out: On GPT Converging Toward Common Sense in both Success and Failure

  13. Tighter Bounds on the Expressivity of Transformer Encoders

  14. Emergent Analogical Reasoning in Large Language Models

  15. Discovering Latent Knowledge in Language Models Without Supervision

  16. Deep Differentiable Logic Gate Networks

  17. Transformers Implement First-Order Logic with Majority Quantifiers

  18. FOLIO: Natural Language Reasoning with First-Order Logic

  19. Language models show human-like content effects on reasoning

  20. Mathematical Proof Between Generations

  21. Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations

  22. On the Paradox of Learning to Reason from Data

  23. Logical Intuition Is Not Really About Logic

  24. Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators

  25. Catala: A Programming Language for the Law

  26. How the Slowest Computer Programs Illuminate Math’s Fundamental Limits: The goal of the ‘busy beaver’ game is to find the longest-running computer program. Its pursuit has surprising connections to some of the most profound questions and concepts in mathematics

  27. On the Measure of Intelligence

  28. Best Practices: Formal Proofs, the Fine Print and Side Effects

  29. A Logic for Statutes

  30. How Did Software Get So Reliable Without Proof? [Blog]

  31. Why Philosophers Should Care About Computational Complexity

  32. Good and Real: Demystifying Paradoxes from Physics to Ethics § 1.2.3: Paradoxes: When Arguments Collide

  33. Philosophical Problems in Logic § Ultrafinitism

  34. An Editor Recalls Some Hopeless Papers

  35. How did software get so reliable without proof?

  36. An Epistemological Nightmare

  37. Nonstandard Analysis

  38. ‘Begging the Question’

  39. A Plea for Excuses: The Presidential Address

  40. John Wilkins’s Analytical Language

  41. Symposium: Facts and Propositions

  42. Review of Tractatus Logico-Philosophicus by Ludwig Wittgenstein

  43. In Strategic Time, Open-Source Games Are Loopy

  44. Mathematical Notation: Past and Future

  45. 9f00052c868b2fd2504ca0cb6cf3d80baae4a5a6.html#frequency

  46. design#future-tag-features

    [Transclude the forward-link's context]

  47. 2022-jung-figure6-2examplesofmaieuticpromptingtogenerate2argumenttreesonecorrectoneincorrect.png

  48. 1998-priest.pdf

  49. 1978-shope.pdf

  50. https://incredible.pm/

  51. https://people.well.com/user/doctorow/metacrap.htm

  52. https://web.archive.org/web/20220927022638/https://nautil.us/the-man-who-tried-to-redeem-the-world-with-logic-235253/

  53. https://www.koryheath.com/zendo/design-history/

  54. 9ece62e9f7938cc48fbe99b61c80ab9ef1de79f4.html

  55. https://www.lesswrong.com/posts/ZwshvqiqCvXPsZEct/the-learning-theoretic-agenda-status-2023

  56. https://www.newyorker.com/magazine/1981/12/14/a-i

  57. https://x.com/NathalieRach/status/1712538064369955154

  58. https://x.com/dmvaldman/status/1636180222759563264

  59. Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc

  60. https%253A%252F%252Farxiv.org%252Fabs%252F2308.04445.html

  61. FOLIO: Natural Language Reasoning with First-Order Logic

  62. Caiming Xiong—Home Page

  63. https%253A%252F%252Farxiv.org%252Fabs%252F2209.00840.html

  64. Logical Intuition Is Not Really About Logic

  65. %252Fdoc%252Fphilosophy%252Flogic%252F2022-ghasemi.pdf.html

  66. How the Slowest Computer Programs Illuminate Math’s Fundamental Limits: The goal of the ‘busy beaver’ game is to find the longest-running computer program. Its pursuit has surprising connections to some of the most profound questions and concepts in mathematics

  67. https%253A%252F%252Fwww.quantamagazine.org%252Fhow-the-slowest-computer-programs-illuminate-maths-fundamental-limits-20201210%252F.html