Presentation | 2014-11-22 Computer simulation for emergence of social inequality in probabilistic labor markets He CHEN, Jun-ichi INOUE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We discuss social inequalities in labor markets for university graduates in Japan by using the Gini and k-indices. Feature vectors which specify the abilities of candidates (students) are built-into the probabilistic labor market model. Here we systematically examine what kind of selection processes (strategies) by companies according to the weighted feature vector of each candidate could induce what type of inequalities in the number of informal acceptances leading to a large mismatch between students and companies. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Agent-based modeling / Inequality measure / Statistical mechanics / Computer simulation / Social systems |
Paper # | NC2014-40 |
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Committee | NC |
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Conference Date | 2014/11/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Computer simulation for emergence of social inequality in probabilistic labor markets |
Sub Title (in English) | |
Keyword(1) | Agent-based modeling |
Keyword(2) | Inequality measure |
Keyword(3) | Statistical mechanics |
Keyword(4) | Computer simulation |
Keyword(5) | Social systems |
1st Author's Name | He CHEN |
1st Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University /() |
2nd Author's Name | Jun-ichi INOUE |
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Date | 2014-11-22 |
Paper # | NC2014-40 |
Volume (vol) | vol.114 |
Number (no) | 326 |
Page | pp.pp.- |
#Pages | 6 |
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