PhilSci Archive

Items where Subject is "Specific Sciences > Artificial Intelligence > Machine Learning"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Creators | Item Type
Jump to: B | C | J | K | L | N | S | T
Number of items at this level: 12.

B

Buckner, Cameron (2019) Deep Learning: A Philosophical Introduction. [Preprint]

C

Casacuberta, David and Estany, Anna (2019) Convergence between experiment and theory in the processes of invention and innovation. THEORIA. An International Journal for Theory, History and Foundations of Science, 34 (3). pp. 373-387. ISSN 2171-679X

Climenhaga, Nevin (2019) The Structure of Epistemic Probabilities. Philosophical Studies. pp. 1-30. ISSN 0031-8116

Creel, Kathleen A. (2019) Transparency in Complex Computational Systems. [Preprint]

J

Jebari, Karim and Lundborg, Joakim (2019) Artificial superintelligence and its limits: why AlphaZero cannot become a general agent. [Preprint]

K

Korbak, Tomasz (2019) Unsupervised learning and the natural origins of content. [Preprint]

L

Landgrebe, Jobst and Smith, Barry (2019) Making AI meaningful again. Synthese. ISSN 1573-0964

López-Rubio, Ezequiel and Ratti, Emanuele (2019) Data science and molecular biology: prediction and mechanistic explanation. [Preprint]

N

Noichl, Maximilian (2019) Modeling the Structure of Recent Philosophy. [Preprint]

S

Stinson, Catherine (2019) From Implausible Artificial Neurons to Idealized Cognitive Models: Rebooting Philosophy of Artificial Intelligence. [Preprint]

Sullivan, Emily (2019) Understanding from Machine Learning Models. British Journal for the Philosophy of Science. ISSN 1464-3537

T

Thompson, Jessica A. F. (2018) Towards a common theory of explanation for artificial and biological intelligence. [Preprint]

This list was generated on Sat Feb 29 00:14:38 2020 EST.