We consider a standard one-agent decision-making problem under risk and we address the following question: under what conditions is utility maximization equivalent to 'risk' minimization, where the measure of risk used by the decision-maker is a conservative coherent risk measure?

Artificial Intelligence (AI) scientists are challenged to create intelligent, autonomous agents that can make rational decisions. In this challenge, they confront two questions: what decision theory to follow and how to implement it in AI systems. This paper provides answers to these questions...

How does risk tolerance vary with stake size? This important question cannot be adequately answered if framing effects, nonlinear probability weighting, and heterogeneity of preference types are neglected. We show that, contrary to gains, no coherent change in relative risk aversion is observed...