A Model of Two-Way Selection System for Human Behavior
Author(s) -
Bin Zhou,
Shujia Qin,
Xiao-Pu Han,
Zhe He,
Jiarong Xie,
Bing-Hong Wang
Publication year - 2014
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0081424
Subject(s) - selection (genetic algorithm) , matching (statistics) , bounded function , computer science , mechanism (biology) , inverse , model selection , phenomenon , econometrics , statistics , mathematics , artificial intelligence , physics , mathematical analysis , geometry , quantum mechanics
Two-way selection is a common phenomenon in nature and society. It appears in the processes like choosing a mate between men and women, making contracts between job hunters and recruiters, and trading between buyers and sellers. In this paper, we propose a model of two-way selection system, and present its analytical solution for the expectation of successful matching total and the regular pattern that the matching rate trends toward an inverse proportion to either the ratio between the two sides or the ratio of the state total to the smaller group's people number. The proposed model is verified by empirical data of the matchmaking fairs. Results indicate that the model well predicts this typical real-world two-way selection behavior to the bounded error extent, thus it is helpful for understanding the dynamics mechanism of the real-world two-way selection system.
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