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Towards the Synergy of Cognitive Informatics, Neural Informatics, Brain Informatics, and Cognitive Computing

机译:迈向认知信息学,神经信息学,脑信息学和认知计算的协同作用

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摘要

The contemporary wonder of sciences and engineering recently refocusedon the starting point: how the brain processes internal and external information autonomously rather than imperatively as those of conventional computers? This paper explores the interplay and synergy of cognitive informatics, neural informatics, abstract intelligence, denotational mathematics, brain informatics, and computational intelligence. A key notion recognized in recent studies in cognitive informatics is that the root and profound objective in natural, abstract, and artificial intelligence, and in cognitive informatics and cognitive computing, is to seek suitable mathematical means for their special needs. A layered reference model of the brain and a set of cognitive processes of the mind are systematically developed towards the exploration of the theoretical framework of cognitive informatics. A wide range of applications of cognitive informatics and denotational mathematics are recognized in the development of highly intelligent systems such as cognitive computers, cognitive knowledge search engines, autonomous learning machines, and cognitive robots.
机译:最近科学和工程学的当代奇迹重新聚焦于起点:大脑如何像传统计算机那样自主地而不是命令地处理内部和外部信息?本文探讨了认知信息学,神经信息学,抽象智能,指称数学,脑信息学和计算智能的相互作用和协同作用。在认知信息学的最新研究中认识到的一个关键概念是,自然,抽象和人工智能以及认知信息学和认知计算的根本目标是寻求满足其特殊需求的数学方法。为了探索认知信息学的理论框架,系统地开发了大脑的分层参考模型和头脑的一系列认知过程。在诸如认知计算机,认知知识搜索引擎,自主学习机器和认知机器人之类的高度智能的系统的发展中,认知信息学和指称数学的广泛应用得到认可。

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