机器推理的马克思主义实践哲学审度OA
Examination of machine reasoning from perspective of Marxist practice philosophy
基于马克思主义实践哲学,本文系统审度了机器推理的主体归属、创造性界限、生成机制、真理-价值双重性及人机融合发展前景.研究表明,机器推理因无法复现人类实践的整体性与价值性而存在创造性鸿沟,其演进是知识驱动、数据驱动与环境驱动三者辩证扬弃的过程,其真理性必须经由实践与价值的双重检验,未来发展应定位于增强人类本质力量的人机协同,以此规避认知异化.这为理解智能时代的人机认知关系提供了马克思主义实践哲学分析框架.
Based on Marxist practice philosophy,this paper systematically examines the issues of subject attribution,creative boundaries,generative mechanisms,the duality of truth and value in machine reasoning,as well as the prospects for human-machine integration.The study shows that machine reasoning suffers from a creativity gap,as it fails to replicate the totality and value-laden nature of human practice.Its evolution is a process of dialectical sublation involving knowledge-driven,data-driven,and environment-driven approaches.Its truth claims must be validated through both practical and value-based tes-ting,and its future development should be oriented toward human-machine collaboration that enhances the essential power of human,thereby avoiding cognitive alienation.This provides an analytical framework grounded in Marxist practice philosophy for understanding human-machine cognitive relations in the intelligent age.
胡小玉
江西理工大学 马克思主义学院,江西 赣州 341000
社会科学
机器推理马克思主义实践哲学实践人机协同
machine reasoningMarxist practice philosophypracticehuman-machine collaboration
《江西水利电力大学学报》 2026 (2)
19-29,11
教育部人文社会科学研究青年基金项目(23YJC720006)江西省社会科学基金青年项目(23ZX08)
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