Linked from

The 34 pages that link to Decision theory, each with the reason it gives.

• InferenceRelated: Decisions often depend on inferences about uncertain outcomes and their probabilities.

• UncertaintyRelated: It provides rules for acting when outcomes are not fully known.

• Critical thinkingRelated: It connects evidence assessment to choices whose consequences differ.

• CognitionRelated: It offers formal tools for analyzing how cognitive systems choose among actions.

• Oskar MorgensternRelated: The book with von Neumann supplied an axiomatic foundation for decisions under risk.

• Mental modelRelated: Mental models supply assumptions about possible outcomes that decision procedures evaluate.

• DataRelated: Data can inform estimates of outcomes used in choosing actions.

• ChanceRelated: It provides methods for acting when outcomes depend partly on chance.

• Herbert A. SimonRelated: Simon broadened decision theory by emphasizing cognitive limits and realistic choice procedures.

• Conjunction fallacyRelated: The fallacy tests whether actual judgments conform to formal standards of rational choice.

• Nick BostromRelated: Bostrom’s arguments about uncertain futures depend on how choices and risks are evaluated.

• Game of skillRelated: It explains strategic choices when a skill game includes uncertain information or events.

• AcceptanceRelated: Action often requires accepting working premises about outcomes and probabilities.

• Futures studiesRelated: It offers formal tools for choices that futures studies frames across alternative conditions.

• Constructive dilemmaRelated: Conditional outcome reasoning can organize arguments about alternative scenarios, though the rule alone does not choose an action.

• Approximate measureRelated: Decisions should reflect the uncertainty attached to estimated quantities.

• Engineering managementRelated: Engineering leaders make consequential choices with incomplete information and competing objectives.

• Mind sportRelated: It clarifies how competitors weigh likely outcomes when information is incomplete.

• Scientific modellingRelated: Model outputs can inform choices when outcomes and risks must be compared.