Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty

Incorporating ignorance within game theory: An imprecise probability approach

“…For example, if a state can arise through gamble f , gamble g or a known outcome, its payoff is expected to be the same in all cases. Although beyond the scope of this paper, Jansen et al (2022) suggest two user-friendly and robust preference systems that could assist a player with assessing their preferences over possible states and outcomes in the game, especially when indecisive. Their method relies on a few ranking questions that allow setting ordinal preferences.…”

Incorporating Ignorance within Game Theory: An Imprecise Probability Approach

“…For example, if a state can arise through gamble 𝑓 , gamble 𝑔 or a known outcome, its payoff is expected to be the same in all cases. Although beyond the scope of this research, Jansen et al [39] suggest two user-friendly and robust preference systems that could assist a player with assessing their preferences over possible states and outcomes in the game, especially when indecisive. Their method relies on a few ranking questions that allow setting ordinal preferences.…”