Number of items at this level: **62**.

## 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.

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]

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]

## 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 as Causal Learning, Causal Learning as Empowerment: A bridge between Bayesian causal hypothesis testing and reinforcement learning.*
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.

## 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

Sterkenburg, Tom F.
(2023)
*Statistical Learning Theory and Occam's Razor: The Argument from Empirical Risk Minimization.*
[Preprint]

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

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 Sep 20 09:25:08 2024 EDT**.