用于计算社会系统的 Sora：从反事实实验到并行智能的人工事实实验

IF 4.5 2区计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS

IEEE Transactions on Computational Social Systems Pub Date : 2024-04-02 DOI:10.1109/TCSS.2024.3373928

Rui Qin;Fei-Yue Wang;Xiaolong Zheng;Qinghua Ni;Juanjuan Li;Xiao Xue;Bin Hu

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引用次数: 0

摘要

欢迎阅读 2024 年第二期《电气和电子工程师学会计算社会系统期刊》（IEEE Transactions on Computational Social Systems，TCSS）。本期展示了令人印象深刻的 104 篇常规论文，以及 "大数据和计算社会智能保障金融安全 "特刊，重点介绍了旨在利用大数据和计算技术在数字金融发展中加强金融安全的前沿研究。本期特刊重点关注解决金融大数据的复杂挑战，提高人工智能的效率，并涵盖从数据挖掘到数字货币等关键主题，强调了跨学科工作在降低金融安全风险方面的重要作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Sora for Computational Social Systems: From Counterfactual Experiments to Artificiofactual Experiments With Parallel Intelligence

Welcome to the second issue of IEEE Transactions on Computational Social Systems (TCSS) of 2024. This issue showcases an impressive array of 104 regular papers alongside our Special Issue on Big Data and Computational Social Intelligence for Guaranteed Financial Security, highlighting cutting-edge research aimed at harnessing big data and computational techniques to fortify financial security amidst the digital finance evolution. With a focus on addressing the intricate challenges of financial big data, enhancing the efficacy of artificial intelligence, and covering critical topics from data mining to digital currencies, this issue underscores the vital role of cross-disciplinary efforts in mitigating financial security risks.

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来源期刊

IEEE Transactions on Computational Social Systems Social Sciences-Social Sciences (miscellaneous)

CiteScore

10.00

自引率

20.00%

发文量

316

期刊介绍： IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.