Abstract
Human society has entered the era of intelligence. Social development in the era of intelligence has spawned a large number of intelligent applications. Intelligent applications have put forward unprecedented requirements on the level of cognitive intelligence of machines, and the realization of machine cognitive intelligence depends on knowledge map technology. Divergent thinking is an important part of thinking and an important indicator for measuring innovative thinking. The research in this article found that after the experiment, the associated probabilities of the F values of fluency, flexibility, uniqueness, semantic divergence, graphical divergence, and problem divergence were 0.389, 0.442, 0.594, 0.267, 0.319, and 0.478, which were all greater than the significance level of 0.05, That is, the divergent thinking ability of the experimental group has been significantly improved. The results of this study show that the use of computer cognitive maps can improve students' divergent thinking ability.
Highlights
The development of artificial intelligence began in the late 1990s, and mainly focused on mining statistical models in statistics, which has achieved today’s machine learning
Cognitive Atlas will draw inspiration from cognitive psychology, brain science, and human social history, and combine technologies such as cross-domain knowledge atlas, causal reasoning, and continuous learning to establish an effective mechanism for stable acquisition and expression of knowledge, so that knowledge can be used by machines Understand and use, to achieve the key breakthrough from cognitive intelligence to cognitive intelligence
Cognitive Atlas aims to combine cognitive psychology, brain science, and human knowledge to develop a new generation of cognitive engines for knowledge atlas, cognitive reasoning, and logical expression to realize the evolution of artificial intelligence from cognitive intelligence to cognitive intelligence
Summary
The development of artificial intelligence began in the late 1990s, and mainly focused on mining statistical models in statistics, which has achieved today’s machine learning. Statistical learning alone is not enough to support intelligent implementation. Symbol knowledge is indispensable for intelligent implementation, because symbol knowledge enables the machine to have interpretability and enables the machine to have the language “understanding” ability. Machines must learn to use symbol knowledge to solve problems and realize cognitive intelligence. Cognitive Atlas is a research branch of computer science (Zhang, 2020; Di, 2016; Ma, 2018; Pardeller, 2017; Khatwani, 2018). It attempts to understand the essence of intelligence and realize a major technological breakthrough from cognitive intelligence system to cognitive intelligence system. Creative thinking is based on the abilities of perception, memory, thinking, association, and understanding, and is a high-level mental activity characterized by comprehensiveness, exploratory and novelty, which requires people to put in hard mental work
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