Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/150210 
Year of Publication: 
2013
Citation: 
[Journal:] Theoretical Economics [ISSN:] 1555-7561 [Volume:] 8 [Issue:] 3 [Publisher:] The Econometric Society [Place:] New Haven, CT [Year:] 2013 [Pages:] 829-874
Publisher: 
The Econometric Society, New Haven, CT
Abstract: 
Spatial evolutionary games model individuals who are distributed in a spatial domain and update their strategies upon playing a normal form game with their neighbors. We derive integro-differential equations as deterministic approximations of the microscopic updating stochastic processes. This generalizes the known mean-field ordinary differential equations and provide a powerful tool to investigate the spatial effects in populations evolution. The deterministic equations allow to identify many interesting features of the evolution of strategy profiles in a population, such as standing and traveling waves, and pattern formation, especially in replicator-type evolutions.
Subjects: 
Evolutionary games
mean-field interactions
deterministic approximation
Kac potentials
pattern formation
traveling wave solutions
JEL: 
C70
C72
C73
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.