CfP: Special Issue on Bayesian Epistemology (Deadline: January 15, 2021)

Special Issue on Bayesian Epistemology: Deadline 15.Jan.2021

Bayesian epistemology remains the dominant account of rational beliefs, it underpins the dominant account of decision making in science and beyond, as well as many of our statistical methods. While important applications continue to to emerge, the work on the foundations of Bayesian epistemology never stops and a number of challenges are emerging.

The aim of this special issue is bring together scholars exploring applications, challenges and foundations of Bayesian epistemology.
The special issue will appear in the open-access journal Kriterion.

Topics of interest (in alphabetic order) are not limited to:

    Accuracy
    Bayesianism and Artificial Intelligence
    Bayesian Networks
    Bounded Rationality
    Causation
    Confirmation
    Disagreement
    Evidence
    Evidence Aggregation
    Expansion
    Foundational Aspects of Bayesian Statistics
    Higher Order Evidence
    Imprecise Bayesian Approaches
    Induction
    Inference
    Interpretations of Probabilities
    Judgement Aggregation
    Maximum Entropy (Applications, Inference and Methods)
    Multi Agent Epistemology
    Objective Bayesian Epistemology
    Principles of Bayesianism (Conditionalisation, Probabilism, Total Evidence)
    Replication
    Updating Procedures (Jeffrey, KL, L&P).

Deadline for submissions: 15.Jan.2021.
Submissions of a manuscript (pdf only) prepared for double-blind peer review are to be sent to the guest editor:
juergen_landes@yahoo.de

This special issue appears in conjunction with a conference dedicated to Bayesian epistemology.

This special issue and the conference are organised by
Juergen Landes (LMU Munich)