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dc.contributor.authorIzquierdo Millán, Luis Rodrigo 
dc.contributor.authorIzquierdo, Segismundo S.
dc.contributor.authorSandholm, William H.
dc.date.accessioned2024-10-29T11:30:54Z
dc.date.available2024-10-29T11:30:54Z
dc.date.issued2024-10-16
dc.identifier.isbn979-8343435139
dc.identifier.urihttp://hdl.handle.net/10259/9649
dc.description.abstractThis book is a guide to implement and analyze simple agent-based evolutionary models using NetLogo. All the models we implement are agent-based, i.e. individual agents and their interactions are explicitly represented in the models. To formalise agents’ interactions we use the basic framework of Evolutionary Game Theory. NetLogo is a multi-agent programmable modeling environment used by hundreds of thousands of students, teachers and researchers all around the globe. No coding experience is necessary to fully understand the contents of this book.en
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherUniversity of Wisconsin Pressbookses
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectProbability and statisticsen
dc.subjectMathematical modellingen
dc.subjectStochasticsen
dc.subjectEvolutionen
dc.subjectComputer programming / software engineeringen
dc.subjectObject-oriented programming (OOP)en
dc.subjectComputer modelling and simulationen
dc.subject.otherTeoría de juegoses
dc.subject.otherGame Theoryen
dc.subject.otherEstadística matemáticaes
dc.subject.otherMathematical statisticsen
dc.titleAgent-Based Evolutionary Game Dynamics: a guide to implement and analyze Agent-Based Models within the framework of Evolutionary Game Theoryen
dc.typeinfo:eu-repo/semantics/bookes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://wisc.pb.unizin.org/agent-based-evolutionary-game-dynamicses
dc.identifier.doi10.5281/zenodo.13938501
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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