人工智能视域下的数字化特定人物知识构成分析  

Analysis of the Knowledge Composition of Digitized Specific Individuals from the Perspective of Artificial Intelligence

作　　者：杨平生[1] Yang Pingsheng

机构地区：[1]西安建筑科技大学图书馆,陕西西安710055

出　　处：《图书馆研究与工作》2024年第8期55-62,共8页Library Science Research & Work

摘　　要：针对人工智能模拟和还原特定人物的场景,文章从认识论和知识论的角度分析特定人物的个人知识构成。文章首先对人工智能视域下的知识进行界定,然后以南朝梁的人物萧绎作为研究标本,研究发现,其所具有知识的底层是人类共有的具身性知识,中层是历史性模因知识、历史性朴素理论知识,表层是个人习得知识与个人经验知识,另外还有历史性社会事理知识和个性事理知识作为连接事件与经验的推理知识。知识构成分析能够起到知识校正与锚定的作用,同时通过知识构建和逻辑推断才可能突破现有知识与有记录知识的局限。This article analyzes the personal knowledge composition of specific individuals simulated and reconstructed by artificial intelligence,from the perspectives of epistemology and theory of knowledge.It first defines knowledge within the context of artificial intelligence and then uses Xiao Yi,a figure from the Liang dynasty of the Southern Dynasties,as a research sample.The study finds that the foundational layer of his knowledge comprises embodied knowledge shared by all humans.The middle layer consists of historical meme knowledge and historical naive theoretical knowledge,while the surface layer includes personal acquired knowledge and personal experiential knowledge.Additionally,there are historical social reasoning knowledge and individual reasoning knowledge,which serve as inferential knowledge linking events and experiences.Analyzing the knowledge composition can aid in knowledge correction and anchoring,and it is possible to overcome the limitations of existing and documented knowledge through knowledge construction and logical inference.

关 键 词：人工智能 认识论 知识论 知识构成 真人图书馆 

分 类 号：G250.7[文化科学—图书馆学]