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A Bayesian approach to investment in innovation projects with the presence of fake innovators

The paper proposes a game-theoretic model of interaction between investors and innovators, taking into account the existence of so-called “fake” innovators offering knowingly unprofitable projects. The model is a Bayesian non-cooperative, repetitive game with recalculated payments and partly unobser...

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Detalles Bibliográficos
Autores principales: Gurtuev, Alim, Derkach, Elena, Makhosheva, Salima, Ivanov, Zaur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701340/
https://www.ncbi.nlm.nih.gov/pubmed/33294719
http://dx.doi.org/10.1016/j.heliyon.2020.e05603
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author Gurtuev, Alim
Derkach, Elena
Makhosheva, Salima
Ivanov, Zaur
author_facet Gurtuev, Alim
Derkach, Elena
Makhosheva, Salima
Ivanov, Zaur
author_sort Gurtuev, Alim
collection PubMed
description The paper proposes a game-theoretic model of interaction between investors and innovators, taking into account the existence of so-called “fake” innovators offering knowingly unprofitable projects. The model is a Bayesian non-cooperative, repetitive game with recalculated payments and partly unobservable ex interim player types. It allows quantifying the parameters of the strategy for all player types to find equilibrium solutions. The model describes rational modes for screening “fake” innovators based on adjusting players' probabilistic estimates.
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spelling pubmed-77013402020-12-07 A Bayesian approach to investment in innovation projects with the presence of fake innovators Gurtuev, Alim Derkach, Elena Makhosheva, Salima Ivanov, Zaur Heliyon Research Article The paper proposes a game-theoretic model of interaction between investors and innovators, taking into account the existence of so-called “fake” innovators offering knowingly unprofitable projects. The model is a Bayesian non-cooperative, repetitive game with recalculated payments and partly unobservable ex interim player types. It allows quantifying the parameters of the strategy for all player types to find equilibrium solutions. The model describes rational modes for screening “fake” innovators based on adjusting players' probabilistic estimates. Elsevier 2020-11-25 /pmc/articles/PMC7701340/ /pubmed/33294719 http://dx.doi.org/10.1016/j.heliyon.2020.e05603 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Gurtuev, Alim
Derkach, Elena
Makhosheva, Salima
Ivanov, Zaur
A Bayesian approach to investment in innovation projects with the presence of fake innovators
title A Bayesian approach to investment in innovation projects with the presence of fake innovators
title_full A Bayesian approach to investment in innovation projects with the presence of fake innovators
title_fullStr A Bayesian approach to investment in innovation projects with the presence of fake innovators
title_full_unstemmed A Bayesian approach to investment in innovation projects with the presence of fake innovators
title_short A Bayesian approach to investment in innovation projects with the presence of fake innovators
title_sort bayesian approach to investment in innovation projects with the presence of fake innovators
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701340/
https://www.ncbi.nlm.nih.gov/pubmed/33294719
http://dx.doi.org/10.1016/j.heliyon.2020.e05603
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