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Decision Making Under Uncertainty by vipanarorain1795 is a document available to read on EtoBox.
The document discusses decision making under uncertainty. It describes non-deterministic versus probabilistic models of uncertainty and expected utility theory. Probabilistic models assign probabilities to outcomes rather than considering worst-case scenarios. Expected utility is the weighted average of possible outcomes, where weights are assigned according to probabilities. Decision networks extend Bayesian networks to model decisions, actions, utilities and infer the expected utility of actions. The valu
- Author
- vipanarorain1795
- Language
- EN