decision theory
E725899
academic discipline
branch of applied mathematics
branch of economics
branch of philosophy
theory of choice
Decision theory is a field that studies how individuals and agents should make choices under conditions of uncertainty, weighing probabilities, outcomes, and preferences to determine optimal decisions.
All labels observed (4)
| Label | Occurrences |
|---|---|
| decision theory canonical | 2 |
| Bayesian decision theory | 1 |
| Decision Analysis | 1 |
| behavioral decision theory | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8321806 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: decision theory Context triple: [Rationality: What It Is, Why It Seems Scarce, Why It Matters, relatedField, decision theory]
-
A.
Decision Analysis
Decision Analysis is a scholarly journal that focuses on the theory and application of quantitative methods for making informed decisions under uncertainty.
-
B.
complete class theorem in decision theory
The complete class theorem in decision theory is a foundational result that characterizes optimal decision rules by showing that any admissible rule belongs to a "complete class" beyond which no better procedures exist.
-
C.
expected utility theory (with John von Neumann)
Expected utility theory (with John von Neumann) is a foundational framework in economics and decision theory that models how rational agents make choices under uncertainty by maximizing the expected value of a utility function.
-
D.
Foundations of a General Theory of Sequential Decision Functions
Foundations of a General Theory of Sequential Decision Functions is a seminal work in statistics that established the mathematical foundations of sequential analysis and optimal decision-making under uncertainty.
-
E.
prospect theory
Prospect theory is a behavioral economic framework that explains how people actually make decisions under risk and uncertainty, highlighting systematic deviations from the predictions of classical expected utility theory.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: decision theory Target entity description: Decision theory is a field that studies how individuals and agents should make choices under conditions of uncertainty, weighing probabilities, outcomes, and preferences to determine optimal decisions.
-
A.
Decision Analysis
Decision Analysis is a scholarly journal that focuses on the theory and application of quantitative methods for making informed decisions under uncertainty.
-
B.
complete class theorem in decision theory
The complete class theorem in decision theory is a foundational result that characterizes optimal decision rules by showing that any admissible rule belongs to a "complete class" beyond which no better procedures exist.
-
C.
expected utility theory (with John von Neumann)
Expected utility theory (with John von Neumann) is a foundational framework in economics and decision theory that models how rational agents make choices under uncertainty by maximizing the expected value of a utility function.
-
D.
Foundations of a General Theory of Sequential Decision Functions
Foundations of a General Theory of Sequential Decision Functions is a seminal work in statistics that established the mathematical foundations of sequential analysis and optimal decision-making under uncertainty.
-
E.
prospect theory
Prospect theory is a behavioral economic framework that explains how people actually make decisions under risk and uncertainty, highlighting systematic deviations from the predictions of classical expected utility theory.
- F. None of above. chosen
Statements (56)
| Predicate | Object |
|---|---|
| instanceOf |
academic discipline
ⓘ
branch of applied mathematics ⓘ branch of economics ⓘ branch of philosophy ⓘ theory of choice ⓘ |
| aimsAt |
identifying optimal decisions
ⓘ
prescribing rational choice rules ⓘ |
| appliesTo |
artificial agents
ⓘ
individual decision makers ⓘ organizations ⓘ public policy design ⓘ |
| corePrinciple |
consistency of preferences
ⓘ
maximization of expected utility ⓘ |
| developedBy |
Amos Tversky
ⓘ
Bruno de Finetti ⓘ Daniel Kahneman ⓘ Frank P. Ramsey ⓘ
linked to:
F. P. Ramsey
John von Neumann ⓘ Leonard J. Savage ⓘ Oskar Morgenstern ⓘ |
| hasSubfield |
Bayesian decision theory
ⓘ
descriptive decision theory ⓘ game theory ⓘ normative decision theory ⓘ prescriptive decision theory ⓘ sequential decision theory ⓘ social choice theory ⓘ statistical decision theory ⓘ |
| relatedTo |
artificial intelligence
ⓘ
behavioral economics ⓘ cognitive psychology ⓘ microeconomics ⓘ operations research ⓘ probability theory ⓘ statistics ⓘ |
| studies |
decision making under uncertainty
ⓘ
outcomes ⓘ preferences ⓘ probabilities ⓘ rational choice ⓘ utilities ⓘ |
| usesConcept |
Bayes rule
ⓘ
linked to:
Bayes’ theorem
act ⓘ consequence ⓘ decision rule ⓘ dominance ⓘ expected utility ⓘ loss function ⓘ maximin rule ⓘ minimax regret rule ⓘ objective probability ⓘ preference ordering ⓘ risk aversion ⓘ state of the world ⓘ subjective probability ⓘ utility function ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: decision theory Description of subject: Decision theory is a field that studies how individuals and agents should make choices under conditions of uncertainty, weighing probabilities, outcomes, and preferences to determine optimal decisions.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
Foundations of a General Theory of Sequential Decision Functions
→
topic
→
Bayesian decision theory
ⓘ
linked to: decision theory
linked to: decision theory
linked to: decision theory