机器思维问题不同研究进路的哲学分析  

A Philosophical Analysis of Different Research Approaches to Computational Thinking

作　　者：江怡 Jiang Yi

机构地区：[1]山西大学哲学社会学学院、科学技术哲学研究中心

出　　处：《中国社会科学评价》2019年第4期68-75,141,共9页China Social Science Review

基　　金：国家社会科学基金重点项目“心理学哲学的当代解释与重建研究”(17AZX002)阶段性成果

摘　　要：机器思维问题是讨论人工智能的关键所在,但围绕这个问题引起了众多争论,关键在于以何种态度对待以机器思维和人工智能为代表的最新科学发展成就。机器思维基于人类思维,但已经发展为不同于人类思维的另一种思维形式。如果可以把人类思维能力解释为推理和创造,机器思维完全能够实现这些能力。在机器思维与人类思维关系上的“不可取代论”和“不可超越论”都是站不住脚的。讨论机器思维和人工智能问题时,我们需要与科学家们齐心协力地寻找解决问题的可能途径和方法,而不是为解决问题设置各种有形无形的障碍。The issue of computational thinking is the key to discussing artificial intelligence,but it has caused many controversies.The key is how we treat the latest scientific achievements represented by computational thinking and artificial intelligence.Computational thinking is based on human thinking,but has evolved into another form of thinking that is different from human thinking.If human thinking ability can be interpreted as abduction and creation,computational thinking can fully realize these abilities.In the relationship between the two,it cannot be justified to say that human thinking is irreplaceable and unbeatable.When discussing computational thinking and artificial intelligence,we need to work with scientists to find possible ways and means to solve problems,rather than setting up various visible and invisible obstacles.

关 键 词：机器思维 人类思维 人工智能 科学与哲学 

分 类 号：C[社会学]