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图灵机能通过图灵测试吗?——实质归纳理论的视角

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实质归纳理论是归纳逻辑领域的前沿性成果,它的一个核心观点是科学领域是有界的,规则或定律的运用范围也是有限的.我们将这种观点运用于目前热门的人工智能、机器学习领域,指出这个领域所具备的复杂事实是人类思维的复杂性,包括语言、情感、动机等的多变性与随意性,我们不能寄希望于一套形式化的方法或数学模型解决所有问题.我们选取了图灵测试作为攻玉之石,由于自然语言作为一个独具特色的局部领域,有其驳杂纷乱之处,试图将自然语言模型化困难重重.因此,我们暂时无法制造出能够通过图灵测试的图灵机.最后,我们由点及面、推而广之,认为基于纯粹理性的归纳逻辑,无法达成通用人工智能.
Can Turing Machine Pass Turing Test?——From the Perspective of the Material Theory oflnduction
Thematerial theory of induction is a cutting-edge achievement in the field of inductive logic.A core point of view is that the scientific field is bounded,and the application of rules or laws is also limited.We apply this view to the currently popular field of artificial intelligence and machine learning,pointing out that the complex facts in this field are the complexity of human thinking,including the variability and arbitrar-iness of language,emotion and motivation.We cannot place hope on a set of formal methods or mathematical models to solve all problems.We chose the Turing test as a typical case to discuss.As a unique local field,natural language has its own complexity.Consequently,we are temporarily unable to create a Turing machine that can pass the Turing test.In the end,we spread from the point to the surface,and believe that based on purely rational inductive logic,General Artificial Intelligence cannot be achieved.

the material theory of inductioncomplexityTuring testlanguageartificial general intelligence

李帅、杨琼

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云南大学马克思主义学院,云南昆明 650500

云南师范大学马克思主义学院,云南昆明 650500

实质归纳理论 复杂性 图灵测试 语言 通用人工智能

2024

系统科学学报
太原理工大学

系统科学学报

北大核心
影响因子:0.478
ISSN:1005-6408
年,卷(期):2024.32(2)