Beyond Basic Bayesianism

Description

Bayesian epistemology and decision theory is the dominant framework for analyzing uncertainty and risk, but is often criticized for relying on overly restrictive and idealized assumptions, which limit its scope and applicability to real-world problems. This workshop brings together researchers working on extending these frameworks to phenomena such as awareness growth, opaque evidence, severe uncertainty, catastrophic risk, risk-aversion, and desire-based choice.

The workshop is organized by Pablo Zendejas Medina, as part of the projects "Metaphysics, Ethics, and Epistemology of Risk", funded by the Research Council of Finland, and "The Structure and Nature of Risk", funded by the Kone Foundation (PI: Jaakko Hirvelä).

Talks

Joe Roussos, “Rescuing Reverse Bayesianism: A Two-Step Model of Awareness Growth”

Maria Lasonen, “Awareness of Propositions and Awareness of Possible Worlds: A Defense of Reverse Bayesianism”

Aydin Mohseni, “Learning the Value of Value Learning”

Helena Fang, “Evidence Noncontrastivism, Or: What is Evidence, and What Do We Want it to Be?”

Jason Konek, “Imprecision in control problems”

Marina Moreno, “Moderate Humeanism: An Impossibility Theorem”

H. Orri Stefánsson, “Continuity under Severe Uncertainty”

Weng Kin San, “Correlation Aversion”