An Evolutionary Game Study of the Behavioral Management of Bid Evaluations in Reserve Auctions
Winner determination in current auctions is often performed separately by two groups: the technical expert group and the business expert group. In general, there is a strong negative correlation between technical and business attributes, and it will cause antagonistic feelings and noncooperative beh...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9072423/ |
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author | Xuwang Liu Zhengxuan Zhang Wei Qi Dingwei Wang |
author_facet | Xuwang Liu Zhengxuan Zhang Wei Qi Dingwei Wang |
author_sort | Xuwang Liu |
collection | DOAJ |
description | Winner determination in current auctions is often performed separately by two groups: the technical expert group and the business expert group. In general, there is a strong negative correlation between technical and business attributes, and it will cause antagonistic feelings and noncooperative behaviors between the two groups under the premise of bounded rationality. First, this paper constructs a game model between the management department and experts and analyzes the conditions for achieving stable equilibrium solutions. Then, we analyze the evolutionary paths and the influencing factors of relevant behaviors based on evolutionary game theory, which reveals the influence from the individual to groups. Finally, to systematically and quantitatively study bid evaluation behaviors, a simulation system based on MATLAB GUI shows the influences on the evolutionary results as the initial conditions and decision parameters change. The study makes positive contributions to the management of bidding evaluations to improve the fairness of the bid evaluation mechanism. |
first_indexed | 2024-12-17T05:32:22Z |
format | Article |
id | doaj.art-87985682b63f48cc9d647900c57ddf4c |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-17T05:32:22Z |
publishDate | 2020-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-87985682b63f48cc9d647900c57ddf4c2022-12-21T22:01:41ZengIEEEIEEE Access2169-35362020-01-018953909540210.1109/ACCESS.2020.29887779072423An Evolutionary Game Study of the Behavioral Management of Bid Evaluations in Reserve AuctionsXuwang Liu0https://orcid.org/0000-0002-6492-2093Zhengxuan Zhang1https://orcid.org/0000-0001-8313-6875Wei Qi2https://orcid.org/0000-0002-4051-823XDingwei Wang3https://orcid.org/0000-0002-8237-9178Institute for Management Science and Engineering, Henan University, Kaifeng, ChinaInstitute for Management Science and Engineering, Henan University, Kaifeng, ChinaInstitute for Management Science and Engineering, Henan University, Kaifeng, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, ChinaWinner determination in current auctions is often performed separately by two groups: the technical expert group and the business expert group. In general, there is a strong negative correlation between technical and business attributes, and it will cause antagonistic feelings and noncooperative behaviors between the two groups under the premise of bounded rationality. First, this paper constructs a game model between the management department and experts and analyzes the conditions for achieving stable equilibrium solutions. Then, we analyze the evolutionary paths and the influencing factors of relevant behaviors based on evolutionary game theory, which reveals the influence from the individual to groups. Finally, to systematically and quantitatively study bid evaluation behaviors, a simulation system based on MATLAB GUI shows the influences on the evolutionary results as the initial conditions and decision parameters change. The study makes positive contributions to the management of bidding evaluations to improve the fairness of the bid evaluation mechanism.https://ieeexplore.ieee.org/document/9072423/Grouped bid evaluationevolutionary game theorybehavioral analysisnumerical simulation |
spellingShingle | Xuwang Liu Zhengxuan Zhang Wei Qi Dingwei Wang An Evolutionary Game Study of the Behavioral Management of Bid Evaluations in Reserve Auctions IEEE Access Grouped bid evaluation evolutionary game theory behavioral analysis numerical simulation |
title | An Evolutionary Game Study of the Behavioral Management of Bid Evaluations in Reserve Auctions |
title_full | An Evolutionary Game Study of the Behavioral Management of Bid Evaluations in Reserve Auctions |
title_fullStr | An Evolutionary Game Study of the Behavioral Management of Bid Evaluations in Reserve Auctions |
title_full_unstemmed | An Evolutionary Game Study of the Behavioral Management of Bid Evaluations in Reserve Auctions |
title_short | An Evolutionary Game Study of the Behavioral Management of Bid Evaluations in Reserve Auctions |
title_sort | evolutionary game study of the behavioral management of bid evaluations in reserve auctions |
topic | Grouped bid evaluation evolutionary game theory behavioral analysis numerical simulation |
url | https://ieeexplore.ieee.org/document/9072423/ |
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