Cognitive Computing Systems: Their Potential and the Future
Cognitive Computing Systems: Their Potential and the Future
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DOI：
10.1109/mc.2019.2904940
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发表时间：
2019-05
期刊：
影响因子：
2.2
通讯作者：
V. Gudivada;Sharath Pankanti;G. Seetharaman;Yu Zhang
中科院分区：
文献类型：
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作者：
V. Gudivada;Sharath Pankanti;G. Seetharaman;Yu Zhang
本专题中的文章主要关注认知计算系统。人类可以说是已知宇宙中最聪明的实体;认知计算的目标是理解和复制人类智能的本质。自治系统是自包含和自我调节的实体，它们在真实的时间内不断进化以响应其环境的变化。这种演变的根本是学习和发展。认知是自治系统的基础。人类认知是指使人类能够执行普通和专业任务的过程和系统。机器认知是指类似的过程和系统，使计算机能够在与人类表现相媲美的水平上执行任务。虽然人类认知采用生物和自然手段-大脑和心灵-来实现，但机器认知是一种计算。认知计算系统是基于机器认知的自治系统。认知系统将思维视为高度并行的信息处理器，使用各种模型来表示信息，并采用算法来转换和推理信息。
The articles in this special section focus on cognitive computing systems. Humans are arguably the most intelligent entities in the known universe; the objective of cognitive computing is to understand and replicate the essence of human intelligence. Autonomous systems are self-contained and self-regulated entities that continuously evolve in real time in response to changes to their environment. Fundamental to this evolution is learning and development. Cognition is the basis for autonomous systems. Human cognition refers to processes and systems that enable humans to perform both mundane and specialized tasks. Machine cognition refers to similar processes and systems that enable computers to perform tasks at a level that rivals human performance. While human cognition employs biological and natural means—the brain and mind—for its realization, machine cognition is a type of computation. Cognitive computing systems are autonomous systems that are based on machine cognition. A cognitive system views the mind as a highly parallel information processor, uses various models for representing information, and employs algorithms for transforming and reasoning with the information.