Contrasting Computational Models of Mate Preference Integration Across 45 Countries

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; DA Duyar; Richard Ayebare; Carlota Batres; Mons Bendixen; Aicha Bensafia; Boris Bizumic; Mahmoud Boussena; Marina Butovskaya; Seda Can; Katarzyna Cantarero; Antonin Carrier; Hakan Cetinkaya; Ilona Croy; Rosa María Cueto; Marcin Czub; Daria Dronova; Seda Dural; I Duyar; Berna Ertugrul; Agustín Espinosa; Ignacio Estevan; Carla Sofia Esteves; Luxi Fang; Tomasz Frackowiak; Jorge Contreras Garduño; Karina Ugalde González; Farida Guemaz; Petra Gyuris; Mária Halamová; Iskra Herak; Marina Horvat; Ivana Hromatko; Chin Ming Hui; Jas Laile Jaafar; Feng Jiang; Konstantinos Kafetsios; Tina Kavčič; Leif Edward Ottesen Kennair; Nicolas Kervyn; Khanh Ha T Thi; Imran Ahmed Khilji; Nils C. Köbis; Hoang Moc Lan; András Láng; Georgina R. Lennard; Ernesto León; Torun Lindholm; Linh T Thi; Giulia Lopez; Luot N Van; Alvaro Mailhos; Zoi Manesi; Rocio Martinez; 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; Baris Özener; Ariela Francesca Pagani; Vilmante Pakalniskiene; Miriam Parise; Farid Pazhoohi; A Pisanski; K Pisanski; Edna Ponciano; Camelia Popa; Pavol Prokop; Rizwa

doi:10.1038/s41598-019-52748-8

Contrasting Computational Models of Mate Preference Integration Across 45 Countries

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
, DA Duyar
, Richard Ayebare
, Carlota Batres
, Mons Bendixen
, Aicha Bensafia
, Boris Bizumic
, Mahmoud Boussena
, Marina Butovskaya

Seda Can, Katarzyna Cantarero, Antonin Carrier, Hakan Cetinkaya, Ilona Croy, Rosa María Cueto, Marcin Czub, Daria Dronova, Seda Dural, I Duyar, Berna Ertugrul, Agustín Espinosa, Ignacio Estevan, Carla Sofia Esteves, Luxi Fang, Tomasz Frackowiak, Jorge Contreras Garduño, Karina Ugalde González, Farida Guemaz, Petra Gyuris, Mária Halamová, Iskra Herak, Marina Horvat, Ivana Hromatko, Chin Ming Hui, Jas Laile Jaafar, Feng Jiang, Konstantinos Kafetsios, Tina Kavčič, Leif Edward Ottesen Kennair, Nicolas Kervyn, Khanh Ha T Thi, Imran Ahmed Khilji, Nils C. Köbis, Hoang Moc Lan, András Láng, Georgina R. Lennard, Ernesto León, Torun Lindholm, Linh T Thi, Giulia Lopez, Luot N Van, Alvaro Mailhos, Zoi Manesi, Rocio Martinez, 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, Baris Özener, Ariela Francesca Pagani, Vilmante Pakalniskiene, Miriam Parise, Farid Pazhoohi, A Pisanski, K Pisanski, Edna Ponciano, Camelia Popa, Pavol Prokop, Rizwa

^*Corresponding author for this work

School of Psychology

University of California at Santa Barbara
University of Texas at Austin
Technische Universität Dresden
University of Wrocław
University of Tartu
Gulu University
Middle East University, Jordan
Stockholm University
University of the Punjab
University of Nigeria
North Star Alliance
Marshall University
Norwegian University of Science and Technology
University of Algiers Abou El Kacem Saadallah
Australian National University
Russian Academy of Sciences
Russian State University for the Humanities
Izmir Ekonomi University
SWPS University of Social Sciences and Humanities
Université catholique de Louvain
Ankara University
Pontificia Universidad Católica del Perú
Cumhuriyet University
Universidad de la República
University Institute of Lisbon
Chinese University of Hong Kong
Universidad Nacional Autónoma de México
Universidad Latina de Costa Rica
Mohamed Lamine Dabbaghine University of Setif 2
University of Pecs
Constantine the Philosopher University
University of Maribor
University of Zagreb
University of Malaya
Central University of Finance and Economics
University of Crete
University of Primorska
IMCB
University of Amsterdam
Vietnam National University, Hanoi
Catholic University of the Sacred Heart
Vrije Universiteit Amsterdam
University of Granada
University of Delhi
University of Havana
Pontifícia Universidade Católica do Rio de Janeiro
Free Unviersity of Tbilisi
University of Vienna
University Utara Malaysia
Istanbul University
Vilnius University
University of British Columbia
Universidade do Estado do Rio de Janeiro
Romanian Academy
Comenius University
Slovak Academy of Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

AbstractHumans 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.

Original language	English
Number of pages	0
Journal	Scientific Reports
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41598-019-52748-8
Publication status	E-pub ahead of print - 15 Nov 2019

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10.1038/s41598-019-52748-8

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Conroy-Beam, D., Buss, D. M., Asao, K., Sorokowska, A., Sorokowski, P., Aavik, T., Akello, G., Alhabahba, M. M., Alm, C., Amjad, N., Anjum, A., Atama, C. S., Duyar, DA., Ayebare, R., Batres, C., Bendixen, M., Bensafia, A., Bizumic, B., Boussena, M., ... Rizwa (2019). Contrasting Computational Models of Mate Preference Integration Across 45 Countries. Scientific Reports, 9(1). Advance online publication. https://doi.org/10.1038/s41598-019-52748-8

@article{5c452b06ceb24d1d84f7a893d2a159cb,

title = "Contrasting Computational Models of Mate Preference Integration Across 45 Countries",

abstract = "AbstractHumans 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.",

author = "Daniel Conroy-Beam and Buss, \{David M.\} and Kelly Asao and Agnieszka Sorokowska and Piotr Sorokowski and Toivo Aavik and Grace Akello and Alhabahba, \{Mohammad Madallh\} and Charlotte Alm and Naumana Amjad and Afifa Anjum and Atama, \{Chiemezie S.\} and DA Duyar and Richard Ayebare and Carlota Batres and Mons Bendixen and Aicha Bensafia and Boris Bizumic and Mahmoud Boussena and Marina Butovskaya and Seda Can and Katarzyna Cantarero and Antonin Carrier and Hakan Cetinkaya and Ilona Croy and Cueto, \{Rosa Mar{\'i}a\} and Marcin Czub and Daria Dronova and Seda Dural and I Duyar and Berna Ertugrul and Agust{\'i}n Espinosa and Ignacio Estevan and Esteves, \{Carla Sofia\} and Luxi Fang and Tomasz Frackowiak and Gardu{\~n}o, \{Jorge Contreras\} and Gonz{\'a}lez, \{Karina Ugalde\} and Farida Guemaz and Petra Gyuris and M{\'a}ria Halamov{\'a} and Iskra Herak and Marina Horvat and Ivana Hromatko and Hui, \{Chin Ming\} and Jaafar, \{Jas Laile\} and Feng Jiang and Konstantinos Kafetsios and Tina Kav{\v c}i{\v c} and Kennair, \{Leif Edward Ottesen\} and Nicolas Kervyn and Thi, \{Khanh Ha T\} and Khilji, \{Imran Ahmed\} and K{\"o}bis, \{Nils C.\} and Lan, \{Hoang Moc\} and Andr{\'a}s L{\'a}ng and Lennard, \{Georgina R.\} and Ernesto Le{\'o}n and Torun Lindholm and Thi, \{Linh T\} and Giulia Lopez and Van, \{Luot N\} and Alvaro Mailhos and Zoi Manesi and Rocio Martinez and McKerchar, \{Sarah L.\} and Norbert Mesk{\'o} and Girishwar Misra and Conal Monaghan and Mora, \{Emanuel C.\} and Alba Moya-Gar{\'o}fano and Bojan Musil and Natividade, \{Jean Carlos\} and Agnieszka Niemczyk and George Nizharadze and Elisabeth Oberzaucher and Anna Oleszkiewicz and Omar-Fauzee, \{Mohd Sofian\} and Onyishi, \{Ike E.\} and Baris {\"O}zener and Pagani, \{Ariela Francesca\} and Vilmante Pakalniskiene and Miriam Parise and Farid Pazhoohi and A Pisanski and K Pisanski and Edna Ponciano and Camelia Popa and Pavol Prokop and Rizwa",

year = "2019",

month = nov,

day = "15",

doi = "10.1038/s41598-019-52748-8",

language = "English",

volume = "9",

journal = "Scientific Reports",

issn = "2045-2322",

publisher = "Nature Research",

number = "1",

}

Conroy-Beam, D, Buss, DM, Asao, K, Sorokowska, A, Sorokowski, P, Aavik, T, Akello, G, Alhabahba, MM, Alm, C, Amjad, N, Anjum, A, Atama, CS, Duyar, DA, Ayebare, R, Batres, C, Bendixen, M, Bensafia, A, Bizumic, B, Boussena, M, Butovskaya, M, Can, S, Cantarero, K, Carrier, A, Cetinkaya, H, Croy, I, Cueto, RM, Czub, M, Dronova, D, Dural, S, Duyar, I, Ertugrul, B, Espinosa, A, Estevan, I, Esteves, CS, Fang, L, Frackowiak, T, Garduño, JC, González, KU, Guemaz, F, Gyuris, P, Halamová, M, Herak, I, Horvat, M, Hromatko, I, Hui, CM, Jaafar, JL, Jiang, F, Kafetsios, K, Kavčič, T, Kennair, LEO, Kervyn, N, Thi, KHT, Khilji, IA, Köbis, NC, Lan, HM, Láng, A, Lennard, GR, León, E, Lindholm, T, Thi, LT, Lopez, G, Van, LN, Mailhos, A, Manesi, Z, Martinez, R, McKerchar, SL, Meskó, N, Misra, G, Monaghan, C, Mora, EC, Moya-Garófano, A, Musil, B, Natividade, JC, Niemczyk, A, Nizharadze, G, Oberzaucher, E, Oleszkiewicz, A, Omar-Fauzee, MS, Onyishi, IE, Özener, B, Pagani, AF, Pakalniskiene, V, Parise, M, Pazhoohi, F, Pisanski, A, Pisanski, K, Ponciano, E, Popa, C, Prokop, P & Rizwa 2019, 'Contrasting Computational Models of Mate Preference Integration Across 45 Countries', Scientific Reports, vol. 9, no. 1. https://doi.org/10.1038/s41598-019-52748-8

TY - JOUR

T1 - Contrasting Computational Models of Mate Preference Integration Across 45 Countries

AU - Conroy-Beam, Daniel

AU - Buss, David M.

AU - Asao, Kelly

AU - Sorokowska, Agnieszka

AU - Sorokowski, Piotr

AU - Aavik, Toivo

AU - Akello, Grace

AU - Alhabahba, Mohammad Madallh

AU - Alm, Charlotte

AU - Amjad, Naumana

AU - Anjum, Afifa

AU - Atama, Chiemezie S.

AU - Duyar, DA

AU - Ayebare, Richard

AU - Batres, Carlota

AU - Bendixen, Mons

AU - Bensafia, Aicha

AU - Bizumic, Boris

AU - Boussena, Mahmoud

AU - Butovskaya, Marina

AU - Can, Seda

AU - Cantarero, Katarzyna

AU - Carrier, Antonin

AU - Cetinkaya, Hakan

AU - Croy, Ilona

AU - Cueto, Rosa María

AU - Czub, Marcin

AU - Dronova, Daria

AU - Dural, Seda

AU - Duyar, I

AU - Ertugrul, Berna

AU - Espinosa, Agustín

AU - Estevan, Ignacio

AU - Esteves, Carla Sofia

AU - Fang, Luxi

AU - Frackowiak, Tomasz

AU - Garduño, Jorge Contreras

AU - González, Karina Ugalde

AU - Guemaz, Farida

AU - Gyuris, Petra

AU - Halamová, Mária

AU - Herak, Iskra

AU - Horvat, Marina

AU - Hromatko, Ivana

AU - Hui, Chin Ming

AU - Jaafar, Jas Laile

AU - Jiang, Feng

AU - Kafetsios, Konstantinos

AU - Kavčič, Tina

AU - Kennair, Leif Edward Ottesen

AU - Kervyn, Nicolas

AU - Thi, Khanh Ha T

AU - Khilji, Imran Ahmed

AU - Köbis, Nils C.

AU - Lan, Hoang Moc

AU - Láng, András

AU - Lennard, Georgina R.

AU - León, Ernesto

AU - Lindholm, Torun

AU - Thi, Linh T

AU - Lopez, Giulia

AU - Van, Luot N

AU - Mailhos, Alvaro

AU - Manesi, Zoi

AU - Martinez, Rocio

AU - McKerchar, Sarah L.

AU - Meskó, Norbert

AU - Misra, Girishwar

AU - Monaghan, Conal

AU - Mora, Emanuel C.

AU - Moya-Garófano, Alba

AU - Musil, Bojan

AU - Natividade, Jean Carlos

AU - Niemczyk, Agnieszka

AU - Nizharadze, George

AU - Oberzaucher, Elisabeth

AU - Oleszkiewicz, Anna

AU - Omar-Fauzee, Mohd Sofian

AU - Onyishi, Ike E.

AU - Özener, Baris

AU - Pagani, Ariela Francesca

AU - Pakalniskiene, Vilmante

AU - Parise, Miriam

AU - Pazhoohi, Farid

AU - Pisanski, A

AU - Pisanski, K

AU - Ponciano, Edna

AU - Popa, Camelia

AU - Prokop, Pavol

AU - Rizwa, null

PY - 2019/11/15

Y1 - 2019/11/15

N2 - AbstractHumans 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.

AB - AbstractHumans 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.

U2 - 10.1038/s41598-019-52748-8

DO - 10.1038/s41598-019-52748-8

M3 - Article

SN - 2045-2322

VL - 9

JO - Scientific Reports

JF - Scientific Reports

IS - 1

ER -

Contrasting Computational Models of Mate Preference Integration Across 45 Countries

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