Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/32049
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dc.contributor.authorChorus, Casparen_UK
dc.contributor.authorvan Cranenburgh, Sanderen_UK
dc.contributor.authorDaniel, Aemiro Melkamuen_UK
dc.contributor.authorSandorf, Erlend Danckeen_UK
dc.contributor.authorSobhani, Anaeen_UK
dc.contributor.authorSzép, Teodoraen_UK
dc.date.accessioned2020-12-04T01:02:47Z-
dc.date.available2020-12-04T01:02:47Z-
dc.date.issued2021-01en_UK
dc.identifier.urihttp://hdl.handle.net/1893/32049-
dc.description.abstractTheories of decision-making are routinely based on the notion that decision-makers choose alternatives which align with their underlying preferences—and hence that their preferences can be inferred from their choices. In some situations, however, a decision-maker may wish to hide his or her preferences from an onlooker. This paper argues that such obfuscation-based choice behavior is likely to be relevant in various situations, such as political decision-making. This paper puts forward a simple and tractable discrete choice model of obfuscation-based choice behavior, by combining the well-known concepts of Bayesian inference and information entropy. After deriving the model and illustrating some key properties, the paper presents the results of an obfuscation game that was designed to explore whether decision-makers, when properly incentivized, would be able to obfuscate effectively, and which heuristics they employ to do so. Together, the analyses presented in this paper provide stepping stones towards a more profound understanding of obfuscation-based decision-making.en_UK
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.relationChorus C, van Cranenburgh S, Daniel AM, Sandorf ED, Sobhani A & Szép T (2021) Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence. Mathematical Social Sciences, 109, pp. 28-44. https://doi.org/10.1016/j.mathsocsci.2020.10.002en_UK
dc.rightsThis is an open access article distributed under the terms of the Creative Commons CC-BY license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You are not required to obtain permission to reuse this article.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectObfuscationen_UK
dc.subjectSignalingen_UK
dc.subjectChoice behavioren_UK
dc.subjectPreferencesen_UK
dc.subjectHidingen_UK
dc.titleObfuscation maximization-based decision-making: Theory, methodology and first empirical evidenceen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1016/j.mathsocsci.2020.10.002en_UK
dc.citation.jtitleMathematical Social Sciencesen_UK
dc.citation.issn0165-4896en_UK
dc.citation.volume109en_UK
dc.citation.spage28en_UK
dc.citation.epage44en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderEuropean Commission (Horizon 2020)en_UK
dc.citation.date21/10/2020en_UK
dc.contributor.affiliationDelft University of Technologyen_UK
dc.contributor.affiliationDelft University of Technologyen_UK
dc.contributor.affiliationDelft University of Technologyen_UK
dc.contributor.affiliationEconomicsen_UK
dc.contributor.affiliationUtrecht Universityen_UK
dc.contributor.affiliationDelft University of Technologyen_UK
dc.identifier.isiWOS:000610412600004en_UK
dc.identifier.scopusid2-s2.0-85096213074en_UK
dc.identifier.wtid1686834en_UK
dc.contributor.orcid0000-0001-7521-4773en_UK
dc.date.accepted2020-10-06en_UK
dcterms.dateAccepted2020-10-06en_UK
dc.date.filedepositdate2020-12-03en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorChorus, Caspar|en_UK
local.rioxx.authorvan Cranenburgh, Sander|en_UK
local.rioxx.authorDaniel, Aemiro Melkamu|en_UK
local.rioxx.authorSandorf, Erlend Dancke|0000-0001-7521-4773en_UK
local.rioxx.authorSobhani, Anae|en_UK
local.rioxx.authorSzép, Teodora|en_UK
local.rioxx.projectProject ID unknown|European Commission (Horizon 2020)|en_UK
local.rioxx.freetoreaddate2020-12-03en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2020-12-03|en_UK
local.rioxx.filename1-s2.0-S0165489620300913-main.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source0165-4896en_UK
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