Number of items at this level: 68.
A
Aaronson, Scott
(2011)
Why Philosophers Should Care About Computational Complexity.
[Preprint]
B
Baccelli, Jean and Stewart, Rush T.
(2020)
Support for Geometric Pooling.
The Review of Symbolic Logic.
Bakshi, Kabir S.
(2025)
Identification and Indetermination in the Meta-inductive Approach to Induction.
[Preprint]
Balduzzi, David
(2011)
Information, learning and falsification.
Advances in Neural Information Processing Systems (NIPS).
Barrett, Jeffrey A.
(2015)
On the Evolution of Truth.
[Preprint]
Barrett, Jeffrey A. and Dickson, Michael and Purves, Gordon
(2013)
Prediction Games.
[Preprint]
Barrett, Jeffrey A. and Gabriel, Nathan
(2021)
Reinforcement with Iterative Punishment.
[Preprint]
Barrett, Jeffrey A. and Skyrms, Brian and Cochran, Calvin
(2018)
Hierarchical Models for the Evolution of Compositional Language.
[Preprint]
Baumgaertner, Bert and Molyneux, Bernard
(2025)
The Paradox of Self-Consultation and A Theory of Epistemic Work.
[Preprint]
Belot, Gordon
(2013)
Bayesian Orgulity.
[Preprint]
Belot, Gordon
(2013)
Failure of Calibration is Typical.
[Preprint]
Belot, Gordon
(2015)
Objectivity and Bias.
[Preprint]
Belot, Gordon
(2023)
That Does Not Compute: David Lewis on Credence and Chance.
In: UNSPECIFIED.
Belot, Gordon
(2023)
Unprincipled.
[Preprint]
Benétreau-Dupin, Yann
(2014)
The Bayesian Who Knew Too Much.
Synthese.
ISSN 1573-0964
C
Carroll, La Shun L.
(2017)
Theoretical Biomimetics: A biological design-driven concept for creative problem-solving as applied to the optimal sequencing of active learning techniques in educational theory.
Multidisciplinary Journal for Education, Social and Technological Sciences, 4 (2).
p. 80.
ISSN 2341-2593
Climenhaga, Nevin
(2019)
The Structure of Epistemic Probabilities.
Philosophical Studies.
pp. 1-30.
ISSN 0031-8116
Climenhaga, Nevin and DesAutels, Lane and Ramsey, Grant
(2019)
Causal Inference from Noise.
[Preprint]
Colombo, Matteo and Klein, Dominik
(2017)
Mystery and the evidential impact of unexplainables.
[Preprint]
Culka, M.
(2018)
A Probabilistic Modelling Approach for Rational Belief in
Meta-Epistemic Contexts.
[Preprint]
D
Davis, Isaac
(2019)
A Framework for Pragmatic Reliability.
[Preprint]
Dawidowicz, Edward and Jackson, Vairzora and Bryant, Thomas E and Adams, Martin
(2003)
The Right Information… and Intelligent Nodes.
In: UNSPECIFIED.
De Pretis, Francesco and Landes, Juergen and Peden, William and Osimani, Barbara
(2021)
Pharmacovigilance as Personalized Medicine. In: Chiara Beneduce and Marta Bertolaso (eds.) Personalized Medicine: A Multidisciplinary Approach to Complexity, Springer Nature.
[Preprint]
Dietrich, Franz and List, Christian and Bradley, Richard
(2016)
Belief revision generalized: A joint characterization of Bayes' and Jeffrey's rules.
Journal of Economic Theory, 162.
pp. 352-371.
Dowe, David and Gardner, Steve and Oppy, Graham
(2006)
"Bayes Not Bust! Why Simplicity is no problem for Bayesians".
[Preprint]
de Canson, Chloé
(2024)
On Algebra Relativisation.
Mind, 134 (535).
pp. 792-798.
E
Eberhardt, Frederick
(2012)
Experimental Indistinguishability of Causal Structures.
In: UNSPECIFIED.
Ellerman, David
(2013)
An Introduction to Logical Entropy and its Relation to Shannon Entropy.
[Preprint]
F
Freeborn, David Peter Wallis
(2023)
Efficiency and Fairness Trade-offs in Two Player Bargaining Games.
[Preprint]
Freeborn, David Peter Wallis
(2024)
Rational Factionalization for Agents with Probabilistically Related Beliefs.
[Preprint]
Friederich, Simon
(2016)
Choosing Beauty.
[Preprint]
G
Gopnik, Alison
(2024)
Empowerment Gain as Causal Learning, Causal Learning as Empowerment Gain: A bridge between Bayesian causal hypothesis testing and reinforcement learning. Presented at the 29th Meeting of The Philosophy of Science Association, New Orleans, Dec 2024.
In: UNSPECIFIED.
Grim, Patrick and Seidl, Frank and McNamara, Calum and Astor, Isabell and Diaso, Caroline
(2022)
The Punctuated Equilibrium of Scientific Change: A Bayesian Network Model.
[Preprint]
Gyenis, Balazs
(2014)
Bayes rules all: On the equivalence of various forms of learning in a probabilistic setting.
[Preprint]
Gyenis, Zalán
(2018)
On the modal logic of Jeffrey conditionalization.
[Preprint]
Gyenis, Zalán and Rédei, Miklós and Brown, William
(2018)
The modal logic of Bayesian belief revision.
[Preprint]
H
Hancox-Li, Leif
(2020)
Robustness in Machine Learning Explanations: Does It Matter?
[Preprint]
Huber, Franz
(2008)
Assessing Theories, Bayes Style.
Synthese, 161 (1).
pp. 89-118.
Huber, Franz
(2007)
The Plausibility-Informativeness Theory.
New Waves in Epistemology.
pp. 164-191.
Huber, Franz
(2014)
What Should I Believe About What Would Have Been the Case?
Journal of Philosophicl Logic.
Huber, Franz
(2017)
On the Justification of Deduction and Induction.
[Preprint]
K
Kawalec, Pawel
(2005)
Understanding science of the new millennium.
UNSPECIFIED.
(Unpublished)
L
Lin, Hanti
A General Theory of (Identification in the) Limit and Convergence (to the Truth).
UNSPECIFIED.
louis, ard a and Keinath-Esmail, zaman
(2025)
The Uses and Limitations of Occam Algorithms: a response to Herrmann.
[Preprint]
O
Osimani, Barbara and Landes, Juergen
(2021)
Varieties of Error and Varieties of Evidence in Scientific Inference, Forthcoming in The British Journal for Philosophy of Science.
[Preprint]
Osimani, Barbara and Marta, Bertolaso and Roland, Poellinger and Emanuele, Frontoni
(2019)
Real and Virtual Clinical Trials: a Formal Analysis.
[Preprint]
Osimani, Barbara and Poellinger, Roland
(2020)
Osimani B., Poellinger R. (2020) A Protocol for Model Validation and Causal Inference from Computer Simulation. In: Bertolaso M., Sterpetti F. (eds) A Critical Reflection on Automated Science. Human Perspectives in Health Sciences and Technology, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-030-25001-0_9.
[Preprint]
P
Pietsch, Wolfgang
(2016)
A difference-making account of causation.
In: UNSPECIFIED.
R
Redmond, Juan
(2021)
A free dialogical logic for surrogate reasoning: generation of hypothesis without ontological commitments.
THEORIA. An International Journal for Theory, History and Foundations of Science, 36 (3).
pp. 297-320.
ISSN 2171-679X
Rochefort-Maranda, Guillaume
(2016)
Simplicity and model selection.
European Journal for Philosophy of Science.
ISSN 1879-4912
Rédei, Miklós and Gyenis, Zalán
(2015)
General properties of general Bayesian learning.
[Preprint]
S
Sant'Anna, Adonai and Bueno, Otavio and da Costa, Newton
(2014)
A Set-Theoretic Predicate for Semantics in Natural and Formal Languages.
[Preprint]
Schupbach, Jonah N.
(2008)
Is the Conjunction Fallacy tied to Probabilistic Confirmation?
UNSPECIFIED.
Schurz, Gerhard
(2016)
No Free Lunch Theorem, Inductive Skepticism, and the Optimality of Meta-Induction.
In: UNSPECIFIED.
Skyrms, Brian and Barrett, Jeffrey A.
(2018)
PROPOSITIONAL CONTENT in SIGNALS.
[Preprint]
Soler-Toscano, Fernando
(2014)
El giro dinámico en la epistemología formal: el caso del razonamiento explicativo.
THEORIA. An International Journal for Theory, History and Foundations of Science, 29 (2).
pp. 181-199.
ISSN 2171-679X
Spelda, Petr and Stritecky, Vit
(2025)
Unpredictability of AI Alignment Is Not Always Bad for AI Safety.
[Preprint]
Sterkenburg, Tom F.
(2024)
Statistical Learning Theory and Occam's Razor: The Core Argument.
Minds and Machines.
Sterrett, S. G.
(2012)
Bringing Up Turing's 'Child-Machine' (revised).
[Preprint]
V
Victor, Kuligin and Galina, Kuligina and Maria, Korneva
(2001)
The Scientific Philosophy and Philosophy of Science (Part 1).
[Preprint]
Victor, Kuligin and Galina, Kuligina and Maria, Korneva
(2001)
The Scientific Philosophy and Philosophy of Science (Part 3).
[Preprint]
Victor, Kuligin and Galina, Kuligina and Maria, Korneva
(2001)
The Scientific Philosophy and Philosophy of Science.
[Preprint]
W
Waszek, David and Imbert, Cyrille
(2022)
Are larger studies always better? Sample size and data pooling effects in research communities.
In: UNSPECIFIED.
Wheeler, Gregory
(2016)
Machine Epistemology and Big Data.
[Preprint]
Wu, Jingyi
(2022)
Epistemic Advantage on the Margin: A Network Standpoint Epistemology.
[Preprint]
Z
Zhang, Jiji
(2022)
Alexander Bochman, A Logical Theory of Causality.
BJPS Review of Books.
Zhao, Kino
(2018)
A statistical learning approach to a problem of induction.
In: UNSPECIFIED.
Zhao, Kino
(2018)
A statistical learning approach to a problem of induction.
In: UNSPECIFIED.
This list was generated on Fri Aug 29 00:41:41 2025 EDT.