UM
A social choice force model for estimating collective action manipulation
Zhang, Jie1; Zeng, Shuai1; Liu, Wenli1,2; Wang, Tao1,2; Wang, Fei-Yue1,2; Chen, C.L. Philip3
2014
Conference Name19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014
Source PublicationIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume19
Pages9847-9852
Conference Date8 24, 2014 - 8 29, 2014
Conference PlaceCape Town, South africa
Author of SourceIFAC Secretariat, Schlossplatz 12, A-2361 Laxenburg, A-2361, Austria
AbstractFor e-commerce websites collective actions have significant influence on the behaviors and decisions of individual customers. In this work, we propose a dynamic utility model for customers in e-commerce by considering a "social choice force" (SCF) effect on utility functions of agents. We apply the Artificial societies, Computational experiments, and Parallel execution (ACP) approach to investigate the short-term efforts of collective action manipulation. Experimental results show that the proposed agent model and algorithm outperform the baseline prediction algorithm and illustrate the effect of collective action manipulation in a group buying directory website. © IFAC.
Language英语
Fulltext Access
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.State Key Lab. of Management and Control for Complex Systems, CASIA, Beijing, China;
2.National University of Defense Technology, Hunan, China;
3.University of Macau, China
Recommended Citation
GB/T 7714
Zhang, Jie,Zeng, Shuai,Liu, Wenli,et al. A social choice force model for estimating collective action manipulation[C]//IFAC Secretariat, Schlossplatz 12, A-2361 Laxenburg, A-2361, Austria,2014:9847-9852.
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