Entscheidungsproblem
E87086
The Entscheidungsproblem is a foundational decision problem in mathematical logic that asks whether there exists a general algorithm to determine the truth or falsity of any given first-order logical statement.
All labels observed (5)
How this entity was disambiguated
This entity first appeared as the object of triple T692618 — 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.
Target entity: Entscheidungsproblem Context triple: [On Computable Numbers, with an Application to the Entscheidungsproblem, addressesProblem, Entscheidungsproblem]
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A.
Hilbert’s program
Hilbert’s program was an influential early-20th-century initiative in the foundations of mathematics that sought to formalize all of mathematics and prove its consistency using finitistic methods.
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B.
On Computable Numbers with an Application to the Entscheidungsproblem
"On Computable Numbers, with an Application to the Entscheidungsproblem" is Alan Turing’s landmark 1936 paper that introduced the Turing machine model and founded the formal study of computability and the limits of algorithmic decision procedures.
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C.
Church–Turing thesis
The Church–Turing thesis is a foundational principle in computability theory stating that any function that can be effectively computed by an algorithm can be computed by a Turing machine (or equivalently by other formal models of computation).
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D.
Hilbert problems
The Hilbert problems are a famous list of 23 unsolved mathematical problems presented by David Hilbert in 1900 that profoundly influenced the development of 20th-century mathematics.
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E.
Gödel's incompleteness theorems
Gödel's incompleteness theorems are two fundamental results in mathematical logic showing that any sufficiently powerful, consistent formal system cannot prove all true statements about arithmetic, and cannot prove its own consistency.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Entscheidungsproblem Target entity description: The Entscheidungsproblem is a foundational decision problem in mathematical logic that asks whether there exists a general algorithm to determine the truth or falsity of any given first-order logical statement.
-
A.
Hilbert’s program
Hilbert’s program was an influential early-20th-century initiative in the foundations of mathematics that sought to formalize all of mathematics and prove its consistency using finitistic methods.
-
B.
On Computable Numbers with an Application to the Entscheidungsproblem
"On Computable Numbers, with an Application to the Entscheidungsproblem" is Alan Turing’s landmark 1936 paper that introduced the Turing machine model and founded the formal study of computability and the limits of algorithmic decision procedures.
-
C.
Church–Turing thesis
The Church–Turing thesis is a foundational principle in computability theory stating that any function that can be effectively computed by an algorithm can be computed by a Turing machine (or equivalently by other formal models of computation).
-
D.
Hilbert problems
The Hilbert problems are a famous list of 23 unsolved mathematical problems presented by David Hilbert in 1900 that profoundly influenced the development of 20th-century mathematics.
-
E.
Gödel's incompleteness theorems
Gödel's incompleteness theorems are two fundamental results in mathematical logic showing that any sufficiently powerful, consistent formal system cannot prove all true statements about arithmetic, and cannot prove its own consistency.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
decision problem
ⓘ
problem in computability theory ⓘ problem in mathematical logic ⓘ |
| appliesTo | arbitrary first-order sentences ⓘ |
| asksFor |
effective procedure to determine truth or falsity of any first-order formula
ⓘ
general algorithm for deciding validity of first-order logic statements ⓘ |
| concerns |
algorithmic decidability
ⓘ
decision procedures ⓘ first-order logic ⓘ formal languages ⓘ logical validity ⓘ satisfiability in first-order logic ⓘ |
| excludes | restriction to specific decidable theories ⓘ |
| field |
computability theory
ⓘ
mathematical logic ⓘ model theory ⓘ proof theory ⓘ recursion theory ⓘ theoretical computer science ⓘ |
| formulatedIn | 1928 ⓘ |
| formulatedInWork |
"Grundzüge der theoretischen Logik"
ⓘ
surface form:
Grundzüge der theoretischen Logik
|
| historicalContext | Hilbert’s program ⓘ |
| impact |
development of recursive function theory
ⓘ
emergence of theoretical computer science ⓘ formalization of the notion of algorithm ⓘ foundation of computability theory ⓘ |
| implies |
limits of mechanical reasoning
ⓘ
no algorithm decides validity for all first-order formulas ⓘ |
| introducedBy |
David Hilbert
ⓘ
Wilhelm Ackermann ⓘ |
| language | German ⓘ |
| negativeAnswerGivenBy |
Alan Turing
ⓘ
Alonzo Church ⓘ |
| negativeAnswerYear | 1936 ⓘ |
| provedUndecidableUsing |
Turing machine
ⓘ
surface form:
Turing machines
lambda calculus ⓘ reduction from the halting problem ⓘ |
| relatedTo |
Church–Turing thesis
ⓘ
Hilbert’s tenth problem ⓘ completeness theorem ⓘ first-order theory validity problem ⓘ halting problem ⓘ incompleteness theorems ⓘ |
| solvedBy |
Alan Turing
ⓘ
Alonzo Church ⓘ |
| status |
undecidable
ⓘ
unsolvable ⓘ |
| translation | decision problem ⓘ |
How these facts were elicited
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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.
Subject: Entscheidungsproblem Description of subject: The Entscheidungsproblem is a foundational decision problem in mathematical logic that asks whether there exists a general algorithm to determine the truth or falsity of any given first-order logical statement.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.