摘要
人工智能是一种模仿人类思维感知、判断和决策的过程。传统研究针对人工智能的这一过程,分别简化了不同部分,形成了结构模拟、功能模拟和行为模拟三种研究路径。通过对三种研究路径的优劣势分析,发现只有抓取人类感知、判断和决策过程的所有数据,才能实现真正的人工智能,而这种人工智能就是以大数据为基础的研究路径。最后针对人类思维过程,对大数据的未来主要研究方向进行了系统分析,认为研究应该集中在数据的采集分类、数据的挖掘分析和数据的处理三个方向。
Artificial intelligence is a process of imitating human perception,judging and making decisions.Traditional research simplifies different parts of the process of artificial intelligence and forms three research paths:structure simulation,function simulation and behavior simulation.Through the analysis of the advantages and disadvantages of the three research paths,it is found that only by grasping all the data of human perception,judgment and decision-making process can we realize the real artificial intelligence,which is the research path based on big data.Finally,aiming at the human thinking process,the main research directions of big data in the future are analyzed systematically.The research should focus on three directions:data collection and classification,data mining and analysis,and data processing.
出处
《数码设计》
2018年第9期200-200,共1页
Peak Data Science
关键词
人工智能
研究路径
大数据
Artificial intelligence
Research path
Big data
