Agents and Digital Twins for the engineering of Cyber-Physical Systems: opportunities, and challenges

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Annals of Mathematics and Artificial Intelligence Pub Date : 2023-07-20 DOI:10.1007/s10472-023-09884-9
Stefano Mariani, Marco Picone, Alessandro Ricci
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Abstract

Digital Twins (DTs) are emerging as a fundamental brick of engineering Cyber-Physical Systems (CPSs), but their notion is still mostly bound to specific business domains (e.g. manufacturing), goals (e.g. product design), or applications (e.g. the Internet of Things). As such, their value as general purpose engineering abstractions is yet to be fully revealed. In this paper, we relate DTs with agents and multiagent systems, as the latter are arguably the most rich abstractions available for the engineering of complex socio-technical and CPSs, and the former could both fill in some gaps in agent-oriented software engineering and benefit from an agent-oriented interpretation—in a cross-fertilisation journey.

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网络物理系统工程中的代理和数字孪生:机遇与挑战
数字孪生(DTs)正在成为工程网络物理系统(CPSs)的基本组成部分,但其概念仍主要局限于特定的业务领域(如制造业)、目标(如产品设计)或应用(如物联网)。因此,它们作为通用工程抽象的价值尚未充分显现。在本文中,我们将 DT 与代理和多代理系统联系起来,因为后者可以说是复杂社会技术和 CPS 工程中最丰富的抽象,而前者既能填补面向代理的软件工程中的某些空白,又能从面向代理的解释中获益--这是一个相互促进的过程。
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来源期刊
Annals of Mathematics and Artificial Intelligence
Annals of Mathematics and Artificial Intelligence 工程技术-计算机:人工智能
CiteScore
3.00
自引率
8.30%
发文量
37
审稿时长
>12 weeks
期刊介绍: Annals of Mathematics and Artificial Intelligence presents a range of topics of concern to scholars applying quantitative, combinatorial, logical, algebraic and algorithmic methods to diverse areas of Artificial Intelligence, from decision support, automated deduction, and reasoning, to knowledge-based systems, machine learning, computer vision, robotics and planning. The journal features collections of papers appearing either in volumes (400 pages) or in separate issues (100-300 pages), which focus on one topic and have one or more guest editors. Annals of Mathematics and Artificial Intelligence hopes to influence the spawning of new areas of applied mathematics and strengthen the scientific underpinnings of Artificial Intelligence.
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