Stochastic Stability and Disagreements between Dynamics.
The replicator dynamics and Moran process are the main deterministic and stochastic models of evolutionary game theory. The models are connected by a mean-field relationship—the former describes the expected behavior of the latter. However, there are conditions under which their predictions diverge....
| Publicado en: | Philosophy of Science Vol. 86; no. 3; pp. 497 - 522 |
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| Formato: | Artículo |
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Cambridge University Press
Jul2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=137211498&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 137211498 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Jul2019 vid: 86 iid: 3 pid: 15979 pub: Cambridge University Press artinfo: ui: 137211498 10.1086/703581 ppf: 497 ppct: 25 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.1MB tig: atl: Stochastic Stability and Disagreements between Dynamics. aug: au: Mohseni, Aydin su: Stochastic analysis Game theory Evolutionary theories Stochastic models Evolutionary models sug: subj: Stochastic analysis Game theory Evolutionary theories Stochastic models Evolutionary models ab: The replicator dynamics and Moran process are the main deterministic and stochastic models of evolutionary game theory. The models are connected by a mean-field relationship—the former describes the expected behavior of the latter. However, there are conditions under which their predictions diverge. I demonstrate that the divergence between their predictions is a function of standard techniques used in their analysis and of differences in the idealizations involved in each. My analysis reveals problems for stochastic stability analysis in a broad class of games, demonstrates a novel domain of agreement between the dynamics, and indicates a broader moral for evolutionary modeling. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2019 holdings: @attributes: islocal: N |
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