“Extensive Games and the Problem of Information”
E398338
“Extensive Games and the Problem of Information” is a foundational paper in game theory by Harold W. Kuhn that formalizes extensive-form games and introduces key concepts for analyzing strategic interaction under imperfect information.
All labels observed (1)
| Label | Occurrences |
|---|---|
| “Extensive Games and the Problem of Information” canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3910468 — 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: “Extensive Games and the Problem of Information” Context triple: [Harold W. Kuhn, notableWork, “Extensive Games and the Problem of Information”]
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A.
Game Theory (with Drew Fudenberg)
"Game Theory (with Drew Fudenberg)" is a widely used graduate-level textbook that provides a rigorous and comprehensive introduction to modern game theory and its applications in economics.
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B.
Theory of Games and Economic Behavior
Theory of Games and Economic Behavior is a foundational 1944 book by John von Neumann and Oskar Morgenstern that established game theory as a rigorous mathematical framework for analyzing strategic decision-making in economics.
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C.
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.
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D.
Nash bargaining solution
The Nash bargaining solution is a foundational concept in game theory that defines a fair and efficient outcome for two-party bargaining problems based on axioms of rationality and symmetry.
-
E.
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.
- 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: “Extensive Games and the Problem of Information” Target entity description: “Extensive Games and the Problem of Information” is a foundational paper in game theory by Harold W. Kuhn that formalizes extensive-form games and introduces key concepts for analyzing strategic interaction under imperfect information.
-
A.
Game Theory (with Drew Fudenberg)
"Game Theory (with Drew Fudenberg)" is a widely used graduate-level textbook that provides a rigorous and comprehensive introduction to modern game theory and its applications in economics.
-
B.
Theory of Games and Economic Behavior
Theory of Games and Economic Behavior is a foundational 1944 book by John von Neumann and Oskar Morgenstern that established game theory as a rigorous mathematical framework for analyzing strategic decision-making in economics.
-
C.
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.
-
D.
Nash bargaining solution
The Nash bargaining solution is a foundational concept in game theory that defines a fair and efficient outcome for two-party bargaining problems based on axioms of rationality and symmetry.
-
E.
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.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
academic paper
ⓘ
game theory paper ⓘ |
| approach | noncooperative game theory ⓘ |
| author | Harold W. Kuhn ⓘ |
| canonicalStatus | classic work in game theory ⓘ |
| citedBy |
John Harsanyi
ⓘ
surface form:
John C. Harsanyi
Reinhard Selten ⓘ Robert Aumann ⓘ
surface form:
Robert J. Aumann
Roger B. Myerson ⓘ |
| contribution |
analysis of behavior strategies and mixed strategies
ⓘ
axiomatic framework for extensive games ⓘ formalization of extensive-form games ⓘ introduction of information sets in game theory ⓘ treatment of games with imperfect information ⓘ |
| defines |
behavior strategy
ⓘ
extensive game ⓘ imperfect information ⓘ information set ⓘ mixed strategy in extensive games ⓘ perfect information ⓘ |
| editor |
Albert W. Tucker
ⓘ
Harold W. Kuhn ⓘ |
| field |
game theory
ⓘ
mathematics ⓘ |
| impact |
formal treatment of information in games
ⓘ
standard representation of dynamic games ⓘ |
| influenced |
modern noncooperative game theory
ⓘ
refinements of Nash equilibrium ⓘ sequential equilibrium concepts ⓘ |
| institutionalAffiliationOfAuthor | Princeton University ⓘ |
| language | English ⓘ |
| pages | 193–216 ⓘ |
| partOf |
“Contributions to the Theory of Games” (editor)
ⓘ
surface form:
Contributions to the Theory of Games series
|
| publicationYear | 1953 ⓘ |
| publishedIn |
“Contributions to the Theory of Games” (editor)
ⓘ
surface form:
Contributions to the Theory of Games II
|
| publisher | Princeton University Press ⓘ |
| relatedTo |
Nash equilibrium
ⓘ
game trees ⓘ normal-form games ⓘ sequential rationality ⓘ |
| series | Annals of Mathematics Studies ⓘ |
| topic |
extensive-form games
ⓘ
game-theoretic equilibrium ⓘ imperfect information ⓘ information sets ⓘ strategic interaction ⓘ |
| usedIn | graduate courses in game theory ⓘ |
| volume | 28 ⓘ |
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: “Extensive Games and the Problem of Information” Description of subject: “Extensive Games and the Problem of Information” is a foundational paper in game theory by Harold W. Kuhn that formalizes extensive-form games and introduces key concepts for analyzing strategic interaction under imperfect information.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.