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DC FieldValueLanguage
dc.contributor.authorVriend, Nicolaas J.en_US
dc.date.accessioned2012-09-20T12:58:59Z-
dc.date.available2012-09-20T12:58:59Z-
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/10419/62802-
dc.description.abstractVarious approaches used in Agent-based Computational Economics (ACE) to model endogenously determined interactions between agents are discussed. This concerns models in which agents not only (learn how to) play some (market or other) game, but also (learn to) decide with whom to do that (or not).en_US
dc.language.isoengen_US
dc.publisherQueen Mary, Univ. of London, Dep. of Economics Londonen_US
dc.relation.ispartofseriesWorking Paper, Department of Economics, Queen Mary, University of London 542en_US
dc.subject.jelC6en_US
dc.subject.jelC7en_US
dc.subject.jelD1en_US
dc.subject.jelD2en_US
dc.subject.jelD3en_US
dc.subject.jelD4en_US
dc.subject.jelD5en_US
dc.subject.jelD6en_US
dc.subject.jelD8en_US
dc.subject.jelL1en_US
dc.subject.jelM3en_US
dc.subject.ddc330en_US
dc.subject.keywordEndogenous interaction, Agent-based Computational Economics (ACE)en_US
dc.subject.stwLernprozessen_US
dc.subject.stwPrinzipal-Agent-Theorieen_US
dc.subject.stwSpieltheorieen_US
dc.titleACE model of endogenous interactionsen_US
dc.typeWorking Paperen_US
dc.identifier.ppn488305071en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
Appears in Collections:Working Paper Series, School of Economics and Finance, Queen Mary, University of London

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