Contrasting Computational Models of Mate Preference Integration Across 45 Countries

Daniel Conroy‐Beam , David M. Buss , Kelly Asao , Daniel Conroy‐Beam , David M. Buss , Kelly Asao , Agnieszka Sorokowska , Piotr Sorokowski , Toivo Aavik , Grace Akello , Mohammad Madallh Alhabahba , Charlotte Alm , Naumana Amjad , Afifa Anjum , Chiemezie S. Atama , Derya Atamtürk Duyar , Richard Ayebare , Carlota Batres , Mons Bendixen , Aicha Bensafia , Boris Bizumić , Mahmoud Boussena , Marina Butovskaya , Seda Can , Katarzyna Cantarero , Antonin Carrier , Hakan Çetınkaya , Ilona Croy , Rosa María Cueto , Marcin Czub , Daria Dronova , Seda Dural , İzzet Duyar , Berna Ertuğrul , Agustín Espinosa , Ignacio Estevan , Carla Sofia Esteves , Luxi Fang , Tomasz Frąckowiak , Jorge Contreras Garduño , Karina Ugalde González , Farida Guemaz , Petra Gyuris , Mária Haľamová , Iskra Herak , Marina Horvat , Ivana Hromatko , Chin Ming Hui , Jas Laile Jaafar , Feng Jiang , Konstantinos Kafetsios , Tina Kavčič , Leif Edward Ottesen Kennair , Nicolas Kervyn , Trương Thi Khanh Ha , Imran Ahmed Khilji , Nils Köbis , Hoang Moc Lan , András Láng , Georgina R. Lennard , Ernesto de León , Torun Lindholm , Trinh Thi Linh , Giulia Lopez , Nguyen Van Luot , Álvaro Mailhos , Zoi Manesi , Rocío Martínez , Sarah L. McKerchar , Norbert Meskó , Girishwar Misra , Conal Monaghan , Emanuel C. Mora , Alba Moya-Garófano , Bojan Musil , Jean Carlos Natividade , Agnieszka Niemczyk , George Nizharadze , Elisabeth Oberzaucher , Anna Oleszkiewicz , Mohd Sofian Omar Fauzee , Ike E. Onyishi , Barış Özener , Ariela Francesca Pagani , Vilmantė Pakalniškienė , Miriam Parise , Farid Pazhoohi , Annette Pisanski , Katarzyna Pisanski , Edna Lúcia Tinoco Ponciano , Camelia Popa , Pavol Prokop , Muhammad Rizwan , Mario Sainz , Svjetlana Salkičević , Rūta Sargautytė , Ivan Sarmány-Schuller , Susanne Schmehl , Shivantika Sharad , Razi Sultan Siddiqui , Franco Simonetti , Stanislava Stoyanova , Meri Tadinac
2019 Scientific Reports 1,773 citations

Abstract

Humans express a wide array of ideal mate preferences. Around the world, people desire romantic partners who are intelligent, healthy, kind, physically attractive, wealthy, and more. In order for these ideal preferences to guide the choice of actual romantic partners, human mating psychology must possess a means to integrate information across these many preference dimensions into summaries of the overall mate value of their potential mates. Here we explore the computational design of this mate preference integration process using a large sample of n = 14,487 people from 45 countries around the world. We combine this large cross-cultural sample with agent-based models to compare eight hypothesized models of human mating markets. Across cultures, people higher in mate value appear to experience greater power of choice on the mating market in that they set higher ideal standards, better fulfill their preferences in choice, and pair with higher mate value partners. Furthermore, we find that this cross-culturally universal pattern of mate choice is most consistent with a Euclidean model of mate preference integration.

Keywords

Mate choicePreferenceMating preferencesMatingIdeal (ethics)Set (abstract data type)Sample (material)Value (mathematics)Pairwise comparisonComputer sciencePsychologyEcologyBiologyEconomicsMicroeconomicsDevelopmental psychology

MeSH Terms

AdolescentAdultAgedAged80 and overChoice BehaviorComputer SimulationCross-Cultural ComparisonFamily CharacteristicsFemaleGeographyHumansMaleMarriageMiddle AgedSexual BehaviorSexual PartnersYoung Adult

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Publication Info

Year
2019
Type
article
Volume
9
Issue
1
Pages
16885-16885
Citations
1773
Access
Closed

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Cite This

Daniel Conroy‐Beam, David M. Buss, Kelly Asao et al. (2019). Contrasting Computational Models of Mate Preference Integration Across 45 Countries. Scientific Reports , 9 (1) , 16885-16885. https://doi.org/10.1038/s41598-019-52748-8

Identifiers

DOI
10.1038/s41598-019-52748-8
PMID
31729413
PMCID
PMC6858324

Data Quality

Data completeness: 90%