Simulation research on blockchain bidding model

Wei Zhang; Jian Yuan; Hui-na Zhang; Bu-yi Li

doi:10.1117/12.2627647

11 March 2022 Simulation research on blockchain bidding model

Wei Zhang, Jian Yuan, Hui-na Zhang, Bu-yi Li

Proceedings Volume 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021); 121600Q (2022) https://doi.org/10.1117/12.2627647
Event: International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 2021, Sanya, China

Abstract

Online bidding has become more and more common in the market economy, but there still exists cheating phenomena, such as rent-seeking and bid-rigging. To study the characteristics of bidding behavior, we designed a bidding game model based on multi-agents to simulate the game between tendering and bidding agents, visualizing and collecting data from multi-rounds of multi-agent game process, quantifying the impact of the existence and non-existence of blockchain to suppress rent-seeking and bid-rigging. The data of the model support the theory that combining e-bidding platform with blockchain can effectively reduce the fraud costs in bidding process. The research provides theoretical and practical evidence for improving the bidding environment.

Citation Download Citation

Wei Zhang, Jian Yuan, Hui-na Zhang, and Bu-yi Li "Simulation research on blockchain bidding model", Proc. SPIE 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 121600Q (11 March 2022); https://doi.org/10.1117/12.2627647

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available