认知引擎设计中的挑战综述

A. Saghiri
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引用次数: 3

摘要

认知计算的主要目标是设计一个能够模拟人类思维过程的数字化模型。认知引擎负责实现认知系统的功能。目前,认知引擎作为一种自组织的管理机制被广泛应用于计算机网络、物联网、机器人等领域。这是因为这些领域的管理算法将非常复杂,因此需要人类的思维模型作为数字化模型来快速准确地做出决策。在本文中,我们总结了设计认知引擎的挑战。在此基础上,提出了数字化医疗系统中身心操作系统认知引擎设计面临的一系列挑战。在文献中,我们的调查和建议的案例研究在医疗保健系统尚未考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey on Challenges in Designing Cognitive Engines
The primary goal of cognitive computing is to design a digitalized model that is able to mimic human thinking processes. The cognitive engine is in charge of implementing the functionality of a cognitive system. Nowadays, cognitive engines are used as a self-organized management mechanism in different fields such as computer networks, Internet of Things (IoT), and Robotics. This is because the management algorithms of these fields are going to be very complex and therefore human thinking models as digitalized models are required for fast and accurate decision making. In this paper, we summarize challenges in designing cognitive engines. Then, a set of challenges in designing the cognitive engine for body-mind operating system in the digitalized healthcare system is obtained. In the literature, our survey and also suggested case study in the healthcare system have not been considered yet.
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