Modeling mate choice in a small-scale community: Applying couple simulation in the U.S. and Conambo, Ecuador
Modeling mate choice in a small-scale community: Applying couple simulation in the U.S. and Conambo, Ecuador
复制标题
对小规模社区中的配偶选择进行建模:在美国和厄瓜多尔科纳博进行情侣模拟
DOI:
10.1016/j.evolhumbehav.2023.09.007
复制
发表时间:
2023
影响因子:
5.1
通讯作者:
Bowser, Brenda
中科院分区:
文献类型:
--
作者:
Conroy-Beam, Daniel;Patton, John Q.;Goetz, Cari D.;Lukaszewski, Aaron W.;Bowser, Brenda
The near totality of human mate choice research occurs in large-scale, urban, industrial populations. It is unclear to what extent lessons learned from such populations reflect generalizable features of human mating psychology as opposed to localized responses to the demands of these historically unusual environments. Here, we use couple simulation, an agent-based modeling technique, to compare models of mate choice across both a U.S. sample (n= 1678) and a sample ofk= 15 couples from Conambo, Ecuador—a relatively remote community of horticultural-foragers in the Ecuadorian Amazon. The Conambo sample provides a unique opportunity to evaluate models of mate choice in that (1) this sample represents approximately 50% of the households within this community and (2) all of the participants in this sample are acquainted with one another. Participants in Conambo completed a ranking task in which each participant ranked each opposite-sex adult in the community in terms of their quality as a spouse. We used these rankings to simulate the mating market in Conambo under alternative models of mate choice. We find that these models are able to reproduce Conambo marriages at a high degree of accuracy and perform comparably across both the Conambo sample and U.S. samples. Specifically, the resource allocation model performs best in reproducing mate choices in both the U.S. and Conambo samples. These results suggest that at least some aspects of human mating psychology generalize across both large-scale industrialized and small-scale populations.
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DOI:
--
发表时间:
2006
期刊:
影响因子:
--
作者:
S. Gangestad;M. Haselton;D. Buss
通讯作者:
D. Buss
影响因子:
1.5
作者:
Lingshan Zhang;Anthony J. Lee;L. DeBruine;B. Jones
通讯作者:
B. Jones
影响因子:
29.3
作者:
BUSS, DM
通讯作者:
BUSS, DM
DOI:
--
发表时间:
2008
期刊:
影响因子:
--
作者:
Elizabeth G. Pillsworth
通讯作者:
Elizabeth G. Pillsworth
影响因子:
8.2
作者:
Walter, Kathryn, V;Conroy-Beam, Daniel;Zupancic, Maja
通讯作者:
Zupancic, Maja