Cognitive-inspired Computing: Advances and Novel Applications

计算机科学 认知 多学科方法 大数据 认知计算 数据科学 认知科学 情感计算 认知模型 人机交互 人工智能 心理学 社会科学 操作系统 社会学 神经科学
作者
Rongbo Zhu,Lu Liu,Maode Ma,Hongxiang Li
出处
期刊:Future Generation Computer Systems [Elsevier BV]
卷期号:109: 706-709 被引量:12
标识
DOI:10.1016/j.future.2020.03.017
摘要

Abstract Cognition is emerging as a new and promising methodology with the development of cognitive-inspired computing and interaction systems, which enables a large class of applications and has emerged with a significance to change our life. However, recent advances on artificial intelligence (AI), edge computing, big data, and cognitive computational theory show that multidisciplinary cognitive-inspired computing still struggles with fundamental, long-standing problems, such as computational models and decision-making mechanisms based on the neurobiological processes of the brain, cognitive sciences, and psychology. How to enhance human cognitive performance with machine learning (ML), common sense, intelligent interaction, privacy security and novel applications is worth exploring. The objective of this special issue is to report high-quality state-of-the-art research contributions that address these key aspects of cognitive-inspired computing and novel applications. By presenting a selection of papers on various topics related to cognitive-inspired computing and applications, we hope to shed light on the multiple aspects of this emerging multidisciplinary paradigm. The papers included in this issue propose solutions for cognitive-inspired systems, AI-assisted computing, intelligent health analysis, security and privacy issues, as well as novel applications.
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