基于语义网络的电机概念教学认知决策知识表示

A. Prajapati, D. Chaturvedi
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引用次数: 2

摘要

过去的人工智能系统是针对特定领域的,旨在完成特定任务。如今,人们需要能够执行多种任务的多功能机器,这些机器在本质上应该是自适应的,并且应该对任何情况都有决策能力。在这一点上,认知计算的作用进入了画面。认知计算是一个很有前途的研究领域,它正在引起研究者的关注。同时阐述了知识库的构建、推理、推理模块的设计方法等多个方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semantic network based knowledge representation for cognitive decision making in teaching electrical motor concepts
Past AI systems were domain specific intended to fulfill a particular task. These days, there is a need for versatile machines that are capable of performing multiple tasks, should be adaptive in nature and should have decision-making capabilities for any situation. At this point, the role of Cognitive Computing comes into the picture. Cognitive computing is a promising area of research, it is depicting the attention of the researchers. As it describes the knowledge base construction, reasoning, inferencing module designing methods and many other aspects.
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