1926 paper "Truth and Probability"
E381628
The 1926 paper "Truth and Probability" is a foundational work in decision theory and the philosophy of probability, in which Frank P. Ramsey introduces a subjective interpretation of probability based on rational betting behavior.
All labels observed (1)
| Label | Occurrences |
|---|---|
| 1926 paper "Truth and Probability" canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3725171 — 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: 1926 paper "Truth and Probability" Context triple: [F. P. Ramsey, publication, 1926 paper "Truth and Probability"]
-
A.
A Treatise on Probability
A Treatise on Probability is John Maynard Keynes’s influential 1921 work that develops a logical and philosophical theory of probability, challenging classical and frequency-based interpretations.
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B.
Logical Foundations of Probability
Logical Foundations of Probability is a seminal philosophical work by Rudolf Carnap that develops a rigorous logical and formal account of probability and inductive reasoning.
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C.
The Logic of Chance
The Logic of Chance is an influential 1866 book by John Venn that helped establish the frequency interpretation of probability and advanced the philosophical foundations of statistical reasoning.
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D.
Foundations of the Theory of Probability
Foundations of the Theory of Probability is a landmark 1933 monograph that rigorously established modern probability theory on an axiomatic measure-theoretic basis.
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E.
Logic: The Theory of Inquiry
Logic: The Theory of Inquiry is John Dewey’s major work on logic, presenting a pragmatic account of reasoning as an experimental, inquiry-driven process grounded in experience.
- 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: 1926 paper "Truth and Probability" Target entity description: The 1926 paper "Truth and Probability" is a foundational work in decision theory and the philosophy of probability, in which Frank P. Ramsey introduces a subjective interpretation of probability based on rational betting behavior.
-
A.
A Treatise on Probability
A Treatise on Probability is John Maynard Keynes’s influential 1921 work that develops a logical and philosophical theory of probability, challenging classical and frequency-based interpretations.
-
B.
Logical Foundations of Probability
Logical Foundations of Probability is a seminal philosophical work by Rudolf Carnap that develops a rigorous logical and formal account of probability and inductive reasoning.
-
C.
The Logic of Chance
The Logic of Chance is an influential 1866 book by John Venn that helped establish the frequency interpretation of probability and advanced the philosophical foundations of statistical reasoning.
-
D.
Foundations of the Theory of Probability
Foundations of the Theory of Probability is a landmark 1933 monograph that rigorously established modern probability theory on an axiomatic measure-theoretic basis.
-
E.
Logic: The Theory of Inquiry
Logic: The Theory of Inquiry is John Dewey’s major work on logic, presenting a pragmatic account of reasoning as an experimental, inquiry-driven process grounded in experience.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
academic paper
ⓘ
philosophical work ⓘ work on decision theory ⓘ |
| author |
Frank P. Ramsey
ⓘ
linked to:
F. P. Ramsey
Frank Plumpton Ramsey ⓘ
linked to:
F. P. Ramsey
|
| centralIdea |
probabilities are rational degrees of belief revealed by betting behavior
ⓘ
probability can be derived from consistency constraints on preferences ⓘ rationality requires coherence among degrees of belief ⓘ |
| citedBy |
later works in Bayesian statistics
ⓘ
later works in decision theory ⓘ later works in philosophy of science ⓘ |
| countryOfOrigin | United Kingdom ⓘ |
| field |
decision theory
ⓘ
epistemology ⓘ mathematical logic ⓘ philosophy of probability ⓘ |
| hasPart |
analysis of partial belief
ⓘ
argument against objective frequency interpretations ⓘ derivation of probability axioms from rationality constraints ⓘ discussion of logical versus psychological probability ⓘ |
| historicalSignificance |
foundational text for Bayesian decision theory
ⓘ
major contribution to 20th-century analytic philosophy ⓘ one of the earliest explicit formulations of subjective probability ⓘ |
| influenced |
Bayesian decision theory
ⓘ
linked to:
Bayes rules
Bayesian epistemology ⓘ expected utility theory ⓘ modern decision theory ⓘ personalist probability theory ⓘ subjective expected utility theory ⓘ |
| introducesConcept |
Dutch book argument
ⓘ
linked to:
Dutch book arguments
Ramseyian subjective probability ⓘ betting interpretation of probability ⓘ coherence of beliefs ⓘ degree of belief ⓘ subjective probability ⓘ |
| language | English ⓘ |
| methodology |
analysis of rational betting behavior
ⓘ
use of Dutch book arguments ⓘ |
| philosophicalPosition |
anti-frequentist view of probability
ⓘ
subjectivist view of probability ⓘ |
| publicationYear | 1926 ⓘ |
| relatedTo |
Bayes' theorem
ⓘ
linked to:
Bayes’ theorem
axiomatic probability theory ⓘ coherence constraints on credences ⓘ expected utility maximization ⓘ pragmatist approaches to belief ⓘ |
| theoryType |
Bayesian interpretation of probability
ⓘ
subjective interpretation of probability ⓘ |
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: 1926 paper "Truth and Probability" Description of subject: The 1926 paper "Truth and Probability" is a foundational work in decision theory and the philosophy of probability, in which Frank P. Ramsey introduces a subjective interpretation of probability based on rational betting behavior.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.