人工智能是新一轮科技革命和产业变革的重要驱动力量。然而,人工智能在解决问题中的失误带来的不利后果常常是人类无力招架的。如何优化人工智能的问题解决能力对于其发展至关重要。因此在前人积累和理论分析基础上,拟从脑科学、心理学研究成果探析生物智能与人工智能的认知差别。认知方式的差异意味着个体对于解决问题的方式不同,因而人类认知方式是人工智能突破认知鸿沟实现高效正确解决问题的有效途径。本文总结了脑科学、心理学研究成果促使人工智能算法更新的历史,归纳了顿悟对人工智能算法进步的指导意义,并提出将顿悟体验纳入人工智能算法模型更迭参考。本文对于探析人工智能认知进步及其算法更新具有较好现实意义。Artificial intelligence is an important driving force for a new round of scientific and technological revolution and industrial transformation. However, AI’s mistakes in solving problems often have adverse consequences that humans are unable to cope with. How to optimize the problem-solving ability of AI is crucial to its development. Therefore, on the basis of previous accumulation and theoretical analysis, this paper intends to explore the cognitive differences between biological intelligence and artificial intelligence from the research results of brain science and psychology. The difference of cognitive style means that individuals have different ways to solve problems. Therefore, human cognitive style is an effective way for artificial intelligence to break through the cognitive gap and realize efficient and correct problem solving. This paper summarizes the history of brain science and psychology research results to promote the updating of artificial intelligence algorithms, summarizes the guiding significance of insight to the progress of artificial intelligence algorithms, and proposes to incorporate insight experience into the reference of artificial intel
