Linked from

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

• Game theoryCompared with: Unlike game theory, it need not model other decision-makers as strategic opponents or partners.

• Precautionary principleNarrower topic: It offers formal tools for comparing uncertain harms and policy responses.

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

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

• Expected utilityNarrower topic: Expected utility is one rule within the broader study of choice.

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

• Decision-makingNarrower topic: It supplies mathematical frameworks for analyzing individual and institutional choices.

• Expected utility hypothesisNarrower topic: Expected utility is a central model within formal decision theory.

• MinimaxNarrower topic: Minimax is one rule within the broader study of rational choice.

• 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.

• Practical reasonBroader topic: It formalizes one influential, instrumental model of practical choice without settling moral ends.

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

• Allais paradoxNarrower topic: The paradox is a central test case for normative and descriptive decision theories.

• 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.

• St. Petersburg paradoxNarrower topic: The paradox is a foundational problem about how decisions under risk should be evaluated.

• Pascal's wagerNarrower topic: The wager applies choice theory to religious commitment under uncertainty.

• 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.

• Maurice AllaisNarrower topic: Allais’s paradox remains a central case in evaluating formal models of choice.

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

• False dilemmaNarrower topic: Its models make explicit how decisions can include multiple actions, outcomes, and uncertainties.

• Garbage can modelNarrower topic: The model broadened organizational decision theory beyond stable preferences and known alternatives.

• Managerial economicsNarrower topic: It provides a broader framework for business choices when outcomes are not fully known.

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

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

• Game (game theory)Compared with: Unlike a game, a decision problem need not include strategic opponents.

• 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.