意向性认知:人工智能驱动语言产出的知识传播进路  

Intentional Cognition:Knowledge Dissemination Pathway Driven by Artificial Intelligence for Language Production

作　　者：周彦每[1] ZHOU Yanmei

机构地区：[1]新乡学院多语种语言服务创新团队,河南新乡453003

出　　处：《湖南师范大学社会科学学报》2024年第5期124-130,共7页Journal of Social Science of Hunan Normal University

基　　金：教育部人文社会科学青年项目“发展性语言障碍儿童动词论元结构认知损伤及循证干预研究”(22YJC740107);河南省哲学社会科学规划项目“发展性语言障碍儿童动词论元结构认知损伤机制研究”(2020BYY013);中原文化青年拔尖人才支持计划项目“人工智能驱动语言发展的技术支持跟踪研究”(2022003)。

摘　　要：自然语言的产出受人脑语言能力的支配,彰显了人脑思维构念和意向性认知的双重作用。从某种意义而言,语言是精神的产物,体现了人类思维的复杂性和意向性。而智能化时代的语言产出,要借助于语言符号,对人脑的思维规律进行模拟和思维操练。在反思人脑意向性的基础上,完成人脑参与到人-机协同的语言产出和知识传播。一方面,人-机适配的语言产出模式扩展了知识传播的深度和广度,实现了智能语言意向性产出的知识转向;另一方面,在智能化的认知范式内,人工智能的语言产出形式直接跨越了自然语言的演化过程。客观来看,智能语言并不能真正拥有自我意识的意向性,也存在对语义理解的程式化窠臼。对于知识的再生产而言,智能化背景下的语言产出,凸显了从语言符号转向数据治理、从逻辑转向算法的多重知识传播进路。The output of natural language is governed by the brain s linguistic capabilities,highlighting the dual role of mental construction and intentional cognition.In a certain sense,language is a product of the mind,reflecting the complexity and intentionality of human thought.In the era of artificial intelligence,language production relies on linguistic symbols to simulate and exercise the brain s thinking patterns.Reflecting on the intentionality of the human brain,this process integrates human participation in human-machine collaborative language communication and knowledge enhancement.On one hand,human-machine compatible language production models expand the depth and breadth of knowledge dissemination,achieving a knowledge shift in intelligent language intentional communication.On the other hand,within the intelligent cognitive paradigm,the language output forms of artificial intelligence directly bypass the evolutionary process of natural language.Objectively,intelligent language cannot truly possess self-aware intentionality and tends to fall into formulaic pitfalls in semantic understanding.Regarding the reproduction of knowledge,language production in the context of intelligence emphasizes multiple pathways for knowledge dissemination,transitioning from linguistic symbols to data governance,and from logic to algorithms.

关 键 词：语言 意向性 人工智能 知识传播 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]