Evolutionary Games and Population Dynamics
E738051
"Evolutionary Games and Population Dynamics" is a foundational book that applies game theory to evolutionary biology, analyzing how strategic interactions shape the behavior and composition of populations over time.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Evolutionary Games and Population Dynamics canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8523603 — 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: Evolutionary Games and Population Dynamics Context triple: [Karl Sigmund, notableWork, Evolutionary Games and Population Dynamics]
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A.
Evolution and the Theory of Games
Evolution and the Theory of Games is a seminal 1982 book by John Maynard Smith that applies game theory to evolutionary biology, introducing concepts such as evolutionarily stable strategies to explain animal behavior and the evolution of cooperation and conflict.
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B.
Species Packing and Competitive Equilibrium for Many Species
"Species Packing and Competitive Equilibrium for Many Species" is a foundational ecological theory paper that analyzes how numerous species can coexist by partitioning resources and reaching competitive equilibrium within shared environments.
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C.
Evolution in Mendelian Populations
"Evolution in Mendelian Populations" is a foundational 1931 paper by Sewall Wright that introduced key concepts of population genetics, including genetic drift, inbreeding, and the shifting balance theory of evolution.
-
D.
The Genetical Evolution of Social Behaviour
The Genetical Evolution of Social Behaviour is William D. Hamilton’s landmark 1964 paper that founded modern kin selection theory and transformed the study of social evolution in biology.
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E.
Dynamic Noncooperative Game Theory
Dynamic Noncooperative Game Theory is a foundational book in game theory that rigorously analyzes strategic interactions among rational decision-makers evolving over time, with applications in economics, engineering, and control systems.
- 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: Evolutionary Games and Population Dynamics Target entity description: "Evolutionary Games and Population Dynamics" is a foundational book that applies game theory to evolutionary biology, analyzing how strategic interactions shape the behavior and composition of populations over time.
-
A.
Evolution and the Theory of Games
Evolution and the Theory of Games is a seminal 1982 book by John Maynard Smith that applies game theory to evolutionary biology, introducing concepts such as evolutionarily stable strategies to explain animal behavior and the evolution of cooperation and conflict.
-
B.
Species Packing and Competitive Equilibrium for Many Species
"Species Packing and Competitive Equilibrium for Many Species" is a foundational ecological theory paper that analyzes how numerous species can coexist by partitioning resources and reaching competitive equilibrium within shared environments.
-
C.
Evolution in Mendelian Populations
"Evolution in Mendelian Populations" is a foundational 1931 paper by Sewall Wright that introduced key concepts of population genetics, including genetic drift, inbreeding, and the shifting balance theory of evolution.
-
D.
The Genetical Evolution of Social Behaviour
The Genetical Evolution of Social Behaviour is William D. Hamilton’s landmark 1964 paper that founded modern kin selection theory and transformed the study of social evolution in biology.
-
E.
Dynamic Noncooperative Game Theory
Dynamic Noncooperative Game Theory is a foundational book in game theory that rigorously analyzes strategic interactions among rational decision-makers evolving over time, with applications in economics, engineering, and control systems.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
academic monograph
ⓘ
book ⓘ mathematics book ⓘ theoretical biology book ⓘ |
| academicDiscipline |
applied mathematics
ⓘ
evolutionary dynamics ⓘ theoretical ecology ⓘ |
| approach |
combines game theory with dynamical systems
ⓘ
uses differential equations to model evolution of strategies ⓘ |
| author |
Josef Hofbauer
NERFINISHED
ⓘ
Karl Sigmund NERFINISHED ⓘ |
| describedAs |
foundational work in evolutionary game theory
ⓘ
standard reference on replicator dynamics ⓘ |
| field |
dynamical systems
ⓘ
evolutionary biology ⓘ evolutionary game theory ⓘ game theory ⓘ mathematical biology ⓘ population dynamics ⓘ |
| focus |
how strategic interactions shape population composition over time
ⓘ
long-term behavior of evolutionary systems ⓘ mathematical analysis of evolutionary stability ⓘ |
| genre |
scientific literature
ⓘ
textbook ⓘ |
| influencedField |
evolutionary dynamics in biology
ⓘ
evolutionary game theory in economics ⓘ |
| language | English ⓘ |
| subject |
Lotka–Volterra equations
NERFINISHED
ⓘ
bifurcation theory in evolutionary models ⓘ dynamical systems analysis of games ⓘ evolutionarily stable strategies ⓘ evolutionary games ⓘ population dynamics models ⓘ population-level consequences of strategic behavior ⓘ replicator dynamics ⓘ stability analysis of equilibria ⓘ strategic interactions in populations ⓘ |
| title | Evolutionary Games and Population Dynamics NERFINISHED ⓘ |
| topic |
applications of game theory to biology
ⓘ
coexistence and extinction in populations ⓘ continuous-time dynamical systems ⓘ discrete-time dynamical systems ⓘ frequency-dependent selection ⓘ limit cycles and chaos in population models ⓘ payoff matrices in evolutionary contexts ⓘ |
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: Evolutionary Games and Population Dynamics Description of subject: "Evolutionary Games and Population Dynamics" is a foundational book that applies game theory to evolutionary biology, analyzing how strategic interactions shape the behavior and composition of populations over time.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.