Back to Results
First PageMeta Content
Evolutionary biology / Game theory / Evolutionary dynamics / Evolutionary algorithms / Genetic algorithm / Evolutionary game theory / Mean / Expected value / Nash equilibrium / Science / Cybernetics / Applied mathematics


A New Framework to Analyze Evolutionary 2 × 2 Symmetric Games Umberto Cerruti Mario Giacobini
Add to Reading List

Document Date: 2005-01-14 05:35:14


Open Document

File Size: 264,34 KB

Share Result on Facebook

City

Boca Raton / New York / /

Company

Cambridge University Press / MIT Press / CRC Press / V. S IMULATIONS A / /

Country

Switzerland / Italy / /

/

Facility

Applied Mathematics Department University of Torino Torino / Information Systems Department University of Lausanne Laussane / Symmetric Games Umberto Cerruti Mario Giacobini Ugo Merlone Mathematics Department University of Torino Torino / /

IndustryTerm

crossover operator / evolutionary machinery / genetic algorithms / evolutionary algorithm / random networks / /

Organization

Cambridge University / Applied Mathematics Department University of Torino Torino / University of Lausanne Laussane / MIT / Symmetric Games Umberto Cerruti Mario Giacobini Ugo Merlone Mathematics Department University of Torino Torino / /

Person

Lance Chambers / Paul Harrald / Mario Giacobini / J. Maynard Smith / /

Position

author / mean player / RT / player / /

ProgrammingLanguage

C++ / /

ProvinceOrState

New Jersey / Florida / New York / /

Technology

Genetic algorithms / evolutionary algorithm / api / simulation / recombination / /

SocialTag