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Belot, Gordon (2023) That Does Not Compute: David Lewis on Credence and Chance. In: UNSPECIFIED.

Dawidowicz, Edward and Jackson, Vairzora and Bryant, Thomas E and Adams, Martin (2003) The Right Information… and Intelligent Nodes. In: UNSPECIFIED.

Eberhardt, Frederick (2012) Experimental Indistinguishability of Causal Structures. In: UNSPECIFIED.

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.

Pietsch, Wolfgang (2016) A difference-making account of causation. In: UNSPECIFIED.

Schurz, Gerhard (2016) No Free Lunch Theorem, Inductive Skepticism, and the Optimality of Meta-Induction. In: UNSPECIFIED.

Waszek, David and Imbert, Cyrille (2022) Are larger studies always better? Sample size and data pooling effects in research communities. In: UNSPECIFIED.

Zhao, Kino (2018) A statistical learning approach to a problem of induction. In: UNSPECIFIED.

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Published Article or Volume

Baccelli, Jean and Stewart, Rush T. (2020) Support for Geometric Pooling. The Review of Symbolic Logic.

Benétreau-Dupin, Yann (2014) The Bayesian Who Knew Too Much. Synthese. ISSN 1573-0964

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

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.

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.

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

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. (2024) Statistical Learning Theory and Occam's Razor: The Core Argument. Minds and Machines.

Zhang, Jiji (2022) Alexander Bochman, A Logical Theory of Causality. BJPS Review of Books.

Other

Balduzzi, David (2011) Information, learning and falsification. Advances in Neural Information Processing Systems (NIPS).

Kawalec, Pawel (2005) Understanding science of the new millennium. UNSPECIFIED. (Unpublished)

Lin, Hanti A General Theory of (Identification in the) Limit and Convergence (to the Truth). UNSPECIFIED.

Schupbach, Jonah N. (2008) Is the Conjunction Fallacy tied to Probabilistic Confirmation? UNSPECIFIED.