Surveying neuro-symbolic approaches for reliable artificial intelligence of things

Q1 Computer Science

Journal of Reliable Intelligent Environments Pub Date : 2024-07-26 DOI:10.1007/s40860-024-00231-1

Zhen Lu, Imran Afridi, Hong Jin Kang, Ivan Ruchkin, Xi Zheng

引用次数: 0

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为可靠的物联网人工智能探索神经符号方法

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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来源期刊

Journal of Reliable Intelligent Environments Computer Science-Computer Networks and Communications

CiteScore

9.00

自引率

0.00%

发文量

期刊介绍： “Intelligent Environments (IEs)” is growing fast as a multi-disciplinary field allowing many areas of research to have a real beneficial influence in our society. The basic idea behind these systems is that by enriching an environment with technology (sensors, processors, actuators, information terminals, and other devices interconnected through a network), a system can be built such that based on the real-time information gathered and the historical data accumulated, decisions can be taken to benefit the users of that environment. Expected benefits of this technology can be: (a) increasing safety (e.g., by monitoring lifestyle patterns or the latest activities and providing assistance when a possibly harmful situation is developing), (b) comfort (e.g., by adjusting temperature automatically), and (c) economy (e.g., controlling the use of lights). The Journal on Reliable Intelligent Environments focuses on theoretical developments and lessons learnt on the deployment of IEs. The broad areas represented in the journal reflect the fact that reliability of software systems is the result of a number of approaches combined so an overarching principle of our publication will be to be open and flexible to embrace all type of techniques which can increase confidence in Intelligent Environments systems: selection, installation and calibration of equipmentdeployment and maintenance problemsrequirementsmodelingsimulationtestingvalidationformal verificationpeople-centred computingtoolspilots designsoftware development processsecurityprivacyusabilitysafetyperformancequality of servicelarge-scale integrationscalabilityadaptiveness and autonomicity