Search
Search Results
-
In Search for Optimal Methods: New Insights About Meta-Induction
In this paper, the contributions to the account of meta-induction (Schurz 2019) collected in this volume are critically discussed and thereby, new...
-
Testability and viability: is inflationary cosmology “Scientific”?
We provide a philosophical reconstruction and analysis of the debate on the scientific status of cosmic inflation that has played out in recent...
-
Inference to the Best Explanation and van Fraassen’s Contextual Theory of Explanation: Reply to Park
Seungbae Park argues that Bas van Fraassen’s rejection of inference to the best explanation (IBE) is problematic for his contextual theory of...
-
Quantum Mechanics as a Theory of Probability
We examine two quite different threads in Pitowsky’s approach to the measurement problem that are sometimes associated with his writings. One thread...
-
Same but Different: Providing a Probabilistic Foundation for the Feature-Matching Approach to Similarity and Categorization
The feature-matching approach pioneered by Amos Tversky remains a groundwork for psychological models of similarity and categorization but is rarely...
-
The Bayesian Objection
In this chapter I analyse an objection to phenomenal conservatism to the effect that phenomenal conservatism is unacceptable because it is...
-
Bayesian Confirmation or Ordinary Confirmation?
This article reveals one general scheme for creating counter examples to Bayesian confirmation theory. The reason of the problems is that: in daily...
-
Entropic taming of the Look Elsewhere Effect
To mitigate the Look Elsewhere Effect in multiple hypothesis testing using p -values, the paper suggests an “entropic correction” of the significance...
-
An Improved Argument for Superconditionalization
Standard arguments for Bayesian conditionalizing rely on assumptions that many epistemologists have criticized as being too strong: (i) that...
-
The Contextuality-by-Default View of the Sheaf-Theoretic Approach to Contextuality
The Sheaf-Theoretic Contextuality (STC) theory developed by Abramsky and colleagues is a very general account of whether multiply overlap** subsets...
-
Pragmatic infallibilism
Infallibilism leads to skepticism, and fallibilism is plagued by the threshold problem. Within this narrative, the pragmatic turn in epistemology has...
-
Direct Inference and Probabilistic Accounts of Induction
Schurz (
2019 , ch. 4) argues that probabilistic accounts of induction fail. In particular, he criticises probabilistic accounts of induction that...
-
The case for partisan motivated reasoning
A large body of research in political science claims that the way in which democratic citizens think about politics is motivationally biased by...
-
Revisiting the Scientific Nature of Multiverse Theories
Some scientists or philosophers argue that multiverse theories are unfalsifiable and thus not scientific. However, some advocates of multiverse...
-
Interpretations of Probability and Bayesian Inference—an Overview
In this article, I first give a short outline of the different interpretations of the concept of probability that emerged in the twentieth century....
-
Critical Theory, Conspiracy, and “Gullible Critique”
There are important similarities between conspiracy theories and academic discourses referred to variously as ‘critique’, ‘critical theory’,...
-
Predictive Processing Theories
So far, we have introduced and discussed three prominent approaches to mindreading – theory-theory, modularity-theory, and simulation-theory – put...
-
Iterated AGM Revision Based on Probability Revision
Close connections between probability theory and the theory of belief change emerge if the codomain of probability functions is extended from the...
-
Higher-Order Evidence and the Dynamics of Self-Location: An Accuracy-Based Argument for Calibrationism
The thesis that agents should calibrate their beliefs in the face of higher-order evidence—i.e., should adjust their first-order beliefs in response...
-
Reflections by a Theoretical Astrophysicist
A theoretical astrophysicist discusses the principles and rules-of-thumb underlying the construction of models and simulations from the perspective...