consumption have direct utility-consequences. This gives rise to informational preferences, i.e., preferences over the timing and …

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 and makes three contributions. The first is to discuss how economic decision … theory - Expected Utility Theory (EUT) - can help AI systems with utility functions to deal with the problem of instrumental …

-based utility in the context of video-game engagement. Using data on 2.8 million matches from League of Legends, we find evidence …

. Overwhelming evidence shows that choice is stochastic, which has given rise to random utility models as the dominant paradigm in … choices reveal preferences without assumptions on the structure of utility noise. Sharper results are obtained if the analysis … conclude by showing that standard random utility models from economics and standard drift-diffusion models from psychology …

accept Expected Utility Theory (EUT), developed by Savage (1951) and von Neumann and Morgenstern (1953), as a relevant model … for entrepreneurial decision-making. We examine a range of decision theories, ranking them in an order starting from EUT … main components and underlying concepts as they apply to entrepreneurial decision making. …

decision. We study the role of this uncertainty in education choices using representative survey data from Germany. Students …

-relevance of the task, we show that subjects update their beliefs optimistically because they derive direct utility flows from …