网络-物理-社会-思维超空间概念化的范式:主题综合

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Aurora Macías, Elena Navarro
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引用次数: 4

摘要

多年来出现了几种与物联网(IoT)相结合的计算范式,作为实现与社会所期望的无处不在的网络-物理-社会-思维超空间相关的复杂超空间的基础。定义这些范例的原则存在重叠,尽管以前作出了努力,但对每一个范例进行统一和适当的定义仍然是一项挑战。因此,这项工作的目的是调查现有的关于物联网及其相关范式的文献,以获得一个模型,该模型提供了一个可用于指导选择更适合系统需求的范式的定义。为此,本文进行了严格而系统的主题综合,分析了所选范式中最相关的研究,并提出了一个整合它们的定义、关系和差异的模型。此外,Cyber-Physical-Social Systems (CPSS)被认为是关注社会和人为因素的范式,因为它需要其他范式的相关和便利方面,因此可以更好地实现智能世界的复杂超空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Paradigms for the conceptualization of Cyber-Physical-Social-Thinking hyperspace: A Thematic Synthesis
Several computing paradigms have emerged along the years integrated with the Internet of Things (IoT) as the base to realize the complex hyperspace associated to the ubiquitous Cyber-Physical-Social-Thinking hyperspace that society expects. An overlap of the principles that define those paradigms exists and, despite of previous efforts, a unified and appropriate definition of each of them is still a challenge. Therefore, the purpose of this work is to survey the existing literature about IoT and their related paradigms to obtain a model that provides a definition usable to guide in the selection of that paradigm that fits better the requirements of the system-to-be. For this aim, a rigorous and systematic Thematic Synthesis has been conducted to analyze the most relevant studies of the selected paradigms and specify a model that integrates their definitions, their relations and differences. Furthermore, Cyber-Physical-Social Systems (CPSS) has been identified as the paradigm focusing on social and human factors that better realizes the complex hyperspace of the smart world since it entails relevant and convenient aspects from other paradigms.
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来源期刊
Journal of Ambient Intelligence and Smart Environments
Journal of Ambient Intelligence and Smart Environments COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
4.30
自引率
17.60%
发文量
23
审稿时长
>12 weeks
期刊介绍: The Journal of Ambient Intelligence and Smart Environments (JAISE) serves as a forum to discuss the latest developments on Ambient Intelligence (AmI) and Smart Environments (SmE). Given the multi-disciplinary nature of the areas involved, the journal aims to promote participation from several different communities covering topics ranging from enabling technologies such as multi-modal sensing and vision processing, to algorithmic aspects in interpretive and reasoning domains, to application-oriented efforts in human-centered services, as well as contributions from the fields of robotics, networking, HCI, mobile, collaborative and pervasive computing. This diversity stems from the fact that smart environments can be defined with a variety of different characteristics based on the applications they serve, their interaction models with humans, the practical system design aspects, as well as the multi-faceted conceptual and algorithmic considerations that would enable them to operate seamlessly and unobtrusively. The Journal of Ambient Intelligence and Smart Environments will focus on both the technical and application aspects of these.
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