Oskar Morgenstern
(4 articles)
1944
Utility Function
Mathematical tool utilized in AI to model preferences and calculate the best decision based on expected outcomes.
Generality: 830

1980
Minimax
A decision-making strategy in game theory and AI that aims to minimize the possible losses in worst-case scenarios by maximizing the worst-case outcome.
Generality: 775

1982
Minimax Loss
A strategy used in optimization and decision-making problems to minimize the maximum possible loss.
Generality: 500

1986
Principle of Rationality
The assumption that an AI agent will act in a way that maximizes its expected utility based on its understanding of the environment.
Generality: 775