Open AccessA novel simulation framework for crowd co-decisions
Author(s) -
Xin Yao,
HongBo Sun,
Baode Fan
Publication year - 2020
Publication title -
international journal of crowd science
Language(s) - English
Resource type - Journals
ISSN - 2398-7294
DOI - 10.1108/ijcs-09-2019-0021
Subject(s) - originality , voting , computer science , value (mathematics) , scale (ratio) , management science , data science , sociology , engineering , political science , machine learning , social science , physics , quantum mechanics , politics , law , qualitative research
Purpose The purpose of this paper is to aim mainly at social public decision-making problems, studies the corresponding relationship between different voting rule combinations and the final results, and discusses the quantitative relationships between group intelligence (final votes) and individual intelligence (everyone) to defend democracy under the circumstance of rapid development of network technology, and crowd intelligence becomes more complicated and universal. Design/methodology/approach After summarizing the crowd co-decisions of related studies, the standards, frameworks, techniques, methods and tools have been discussed according to the characteristics of large-scale simulations. Findings The contributions of this paper will be useful for both academics and practitioners for formulating VV&A in large-scale simulations. Originality/value This paper will help researchers solve the social public decision-making problems in large-scale simulations.