摘要
人工智能语言可以从三个层面来理解:机器语言和程序语言、自然语言理解和模仿、人工智能像人一样拥有语言。人工智能拥有规定性的符号语言,能够在一定程度上理解自然语言,但是却无法像人一样拥有语言。因为从生物学上看,人工智能难以拥有意向性和自由意志;从海德格尔的存在论来看,人工智能也无法像人一样领会和回应本真的语言,而且缺乏历史性和社会性,所以无法真正地拥有真理和语言。在自然语言处理上,人工智能可以通过对人类语言中隐喻结构的模仿和学习,去模仿人类的类比—联想思维能力,从而更好地理解人类语言和模拟人类智能。
The language of artificial intelligence(AI)can be understood from the perspective of three levels:1)machine language and programming language;2)natural language processing and imitating;and 3)the humanization of languages by AI.AI has a designed language of symbols and can understand natural language to some degree,however,it cannot achieve total humanistic language capability.The reasoning behind this derives from:the biological perspective,in which AI has no intentionality and free will;and the perspective of Heidegger’s ontology,in which AI cannot comprehend and respond to authentic language without historical and sociological dimensions—as such AI cannot accurately achieve command of humanistic language and comprehend truth as well as empathy.In the processing of natural language,AI can imitate and learn from the metaphorical structure of human language and then develop the capability of humanistic analogy-associative thinking.Hence,AI can comprehend and imitate humanistic language more astutely.
出处
《南开学报(哲学社会科学版)》
CSSCI
北大核心
2020年第3期78-86,共9页
Nankai Journal:Philosophy,Literature and Social Science Edition
基金
国家社会科学基金一般项目(16BZX118)。
关键词
人工智能
语言
意向性
真理
隐喻
Artificial Intelligence
Language
Intentionality
Truth
Metaphor