- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1432-217X
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Self-implementation of social choice correspondences in Nash equilibrium ; day:18 ; month:7 ; year:2022 ; pages:1-20
Social choice and welfare ; (18.7.2022), 1-20
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00355-022-01420-8
- URN
-
urn:nbn:de:101:1-2022092723325333822458
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:29 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Mukherjee, Saptarshi
- Peters, Hans
- SpringerLink (Online service)
Ähnliche Objekte (12)
Reason-based choice correspondences
Rationalizable implementation of correspondences
Repeated Nash implementation
Location choice for renewable resource extraction with multiple non-cooperative extractors: a spatial Nash equilibrium model and numerical implementation
Nash-Cournot Equilibrium With Entry
Slicing the Nash equilibrium manifold
Linear Generalized Nash Equilibrium Problems
Refinements of the Nash equilibrium concept
Rational Learning Leads to Nash Equilibrium
Refinements of the Nash Equilibrium Concept
Rational Learning Leads to Nash Equilibrium
Learning, hypothesis testing, and nash equilibrium
Reason-based choice correspondences
Rationalizable implementation of correspondences
Repeated Nash implementation
Location choice for renewable resource extraction with multiple non-cooperative extractors: a spatial Nash equilibrium model and numerical implementation
Nash-Cournot Equilibrium With Entry
Slicing the Nash equilibrium manifold
Linear Generalized Nash Equilibrium Problems
Refinements of the Nash equilibrium concept
Rational Learning Leads to Nash Equilibrium
Refinements of the Nash Equilibrium Concept
Rational Learning Leads to Nash Equilibrium
Learning, hypothesis testing, and nash equilibrium
Reason-based choice correspondences
Rationalizable implementation of correspondences
Repeated Nash implementation
Location choice for renewable resource extraction with multiple non-cooperative extractors: a spatial Nash equilibrium model and numerical implementation
Nash-Cournot Equilibrium With Entry
Slicing the Nash equilibrium manifold
Linear Generalized Nash Equilibrium Problems
Refinements of the Nash equilibrium concept
Rational Learning Leads to Nash Equilibrium
Refinements of the Nash Equilibrium Concept
Rational Learning Leads to Nash Equilibrium