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.