摘要
目前对人类自我认知以及辅助人类智能发展与智力表现的相关研究,已成为国际上先进国家研究的重点。人类实现自我认知所面临的主要科学问题之一为信息、情感与智力发展的关系与机理问题,这里将其定义为“情智信息”问题。本文围绕情智模型的提出、情智信息的建模、情智模型的应用三个层面,首先提出了六觉(听觉、视觉、味觉、嗅觉、触觉和意境知觉)交叉感知模型,然后在情感联觉模型的基础上构建了情智模型,最后在情智模型理论的指导下提出并实现了脑电图(Electroencephalogram,EEG)信号驱动的情感音乐生成系统。情智模型的研究突破了以往人工智能单纯研究机器智能的局限,在激发情感影响智能方向上独树一帜,使机器智能与情智模型相结合,有助于真正实现类人智能、类脑智能。
The human self-cognition and its related assistance to human intelligence development and intelligence expression hasve become the focus of research in advanced countries.One of the main scientific problems facing human self-cognition is the relationship and mechanism of information,emotion and intelligence development,which we define as the“emotional-intelligence information”problem.In this paper,we first propose a cross-perception model of six senses(auditory,visual,gustatory,olfactory,tactile and contextual perceptions),then build an emotional-intelligence model based on the emotional association model,and finally propose and implement an electroencephalogram(EEG)signal-driven emotional music generation system under the guidance of emotional-intelligence model.The research of the emotional-intelligence model breaks through the limitation of the previous artificial intelligence which only studies the machine intelligence,and is unique in the direction of stimulating the emotion to influence intelligence,so that the machine intelligence and the emotional-intelligence model can be combined together,helping truly realize the human-like intelligence and brain-like intelligence.
作者
叶龙
段丹婷
钟微
胡飞
张勤
YE Long;DUAN Danting;ZHONG Wei;HU Fei;ZHANG Qin(State Key Laboratory of Media Convergence and Communication,Communication University of China,Beijing 100024,China;Key Laboratory of Media Audio&Video(Communication University of China),Ministry of Education,Beijing 100024,China)
出处
《中国传媒大学学报(自然科学版)》
2022年第2期1-8,共8页
Journal of Communication University of China:Science and Technology
基金
国家自然科学基金重点项目(61631016)
面上项目(61971383)。
关键词
情智模型
类人智能
情感音乐生成
emotional-intelligence model
human-like intelligence
emotional music generation