Explore decision theory as a coherence test in this thought-provoking lecture by Prof. Itzhak Gilboa at the Alan Turing Institute. Delve into the joint work with Prof. Larry Samuelson from Yale University, examining the framework, Bayesian justification, and geometric interpretation of decision-making processes. Gain insights into the Max Mean Expected Utility concept and understand the relevance of decision theory in various contexts, including dating and statistics. Participate in a Q&A session following the 48-minute talk, which commemorates the centenary of Frank Knight's "Risk, Uncertainty, and Profit" and John Maynard Keynes' "A Treatise on Probability." Discover how fundamental uncertainty has influenced economic and probability theory over the past century and its resonance with contemporary global economic challenges.
What Were You Thinking? Decision Theory as Coherence Test - Prof. Itzhak Gilboa
Alan Turing Institute via YouTube
Overview
Syllabus
Intro
What were you thinking
Assumptions
Related Literature
Framework
Bayesian justification
Geometric interpretation
Max Mean Expected Utility
Why Decision Theory
Dating and Statistics
Question
Taught by
Alan Turing Institute