CPSS 中的并行智能：存在、成为和信仰

IF 5.6 3区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Intelligent Systems Pub Date : 2023-12-08 DOI:10.1109/mis.2023.3284694

Jing Yang, Xiao Wang, Yonglin Tian, Xiao Wang, Fei-Yue Wang

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引用次数: 0

摘要

最近，ChatGPT 的首次亮相和成功引发了人们对人工通用智能（AGI）的重新讨论和渴望，同时，科技界名人呼吁暂停开发 ChatGPT 式的 AGI 工具，这让人们担心和忧虑人工通用智能可能会破坏我们的人性和社会价值观。在 IEEE IS 的人工智能和 CPSS 部门，我们希望针对智能科学技术对我们的经济和社会的影响和意义等各种相关问题展开谨慎、平衡、希望是深入的调查。让我们从 CPSS 中并行智能的 "三B "和 "ACP "开始：人工系统（A）、计算实验（C）和并行执行（P）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Parallel Intelligence in CPSSs: Being, Becoming, and Believing

The recent debut and success of ChatGPT have brought up renewed debates and desires for artificial general intelligence (AGI) amid fears and anxieties of potential disruptions to our humanity and social values, as witnessed by the call from tech celebrities for a pause in the development of ChatGPT-style AGI tools. At the IEEE IS’ AI and CPSS Department, we would like to initiate cautious, balanced, hopefully deep investigations to address various related issues on the impact and significance of intelligent science and technology to our economy and society. Let’s start with the “three Bs” and “ACP” for parallel intelligence in CPSSs: Being by artificial systems (A), Becoming through computational experiments (C), and Believing with parallel execution (P).

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来源期刊

IEEE Intelligent Systems 工程技术-工程：电子与电气

CiteScore

13.80

自引率

3.10%

发文量

122

审稿时长

1 months

期刊介绍： IEEE Intelligent Systems serves users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on applications. Typically they are degreed professionals, with backgrounds in engineering, hard science, or business. The publication emphasizes current practice and experience, together with promising new ideas that are likely to be used in the near future. Sample topic areas for feature articles include knowledge-based systems, intelligent software agents, natural-language processing, technologies for knowledge management, machine learning, data mining, adaptive and intelligent robotics, knowledge-intensive processing on the Web, and social issues relevant to intelligent systems. Also encouraged are application features, covering practice at one or more companies or laboratories; full-length product stories (which require refereeing by at least three reviewers); tutorials; surveys; and case studies. Often issues are theme-based and collect articles around a contemporary topic under the auspices of a Guest Editor working with the EIC.