Items where Subject is "Specific Sciences > Artificial Intelligence > Classical AI"
Group by: Creators | Item Type Jump to: Preprint | Published Article or Volume Number of items at this level: 9. PreprintBarrett, Jeffrey A. and Gabriel, Nathan (2021) Reinforcement with Iterative Punishment. [Preprint] Durt, Christoph and Froese, Tom and Fuchs, Thomas (2023) Large Language Models and the Patterns of Human Language Use: An Alternative View of the Relation of AI to Understanding and Sentience. [Preprint] Hewitt, Carl (2019) For Cybersecurity, Computer Science Must Rely on Strongly-Typed Actors. [Preprint] Hewitt, Carl (2019) For Cybersecurity, Computer Science Must Rely on the Opposite of Gödel’s Results. [Preprint] Weinberger, Naftali (2023) Homeostasis and the Faithless Foundations of Causal Inference. [Preprint] Wolpert, David (2024) Implications of computer science theory for the simulation hypothesis. [Preprint] Published Article or VolumeGonçalves, Bernardo and Porto, Fabio (2016) A note on the complexity of the causal ordering problem. Artificial Intelligence, 238. pp. 154-165. ISSN 00043702 Landgrebe, Jobst and Smith, Barry (2019) Making AI meaningful again. Synthese. ISSN 1573-0964 Sezgin, Meliha and Kern-Isberner, Gabriele and Rott, Hans (2020) Inductive Reasoning With Difference-Making Conditionals. NMR 2020 - 18th International Workshop on Non-Monotonic Reasoning. pp. 83-92. |
![[feed]](http://philsci-archive.pitt.edu/style/images/feed-icon-32x32.png){kind=icon}