意识的极限条件与机器意识的可能性OACHSSCD
The Limit Conditions of Consciousness and the Possibility of Machine Consciousness
随着大语言模型及智能体应用的进展,智能革命初见端倪,但对于机器意识问题存在严重分歧——这种分歧不限于学术和技术路线之争,更会决定性地影响人工智能产业的战略定位与全球治理架构.从关系实在论出发,论证了意识的极限条件是认知意识(C1)与自我指涉意识(C2)构成的一种极限性自我指涉关系.基于这一框架,阐明了实现意识的前提条件是非对象性的自身觉知及形成的非对象性的自我指涉关系.在此基础上,基于宽泛意义上的递归近似,区分了机器意识的几种可能性,界定了智能体主体性的层级,阐明了智能机器成为类主体的基本条件与判断标准.据此,提出对智能体的分级渐进对齐策略,既以保守策略防范极小概率的机器意识风险,又不阻碍通用人工智能作为纯粹智能工具的发展.
The advancement in large language models and intelligent agent applications has begun to usher in the intelligence revolution.Yet there exists a profound divergence regarding the issue of machine consciousness.This divergence extends beyond mere academic and technological debates,but rather has a decisive impact on the strategic positioning and global governance architecture of the AI industry.This article,starting from relational realism,argues that the limiting condition of consciousness is an extreme self-referential relationship formed by cognitive consciousness(C1)and self-referential consciousness(C2).Based on this framework,it clarifies that the prerequisite for realizing consciousness is non-objective self-awareness and the formation of non-objective self-referential relationships.On this basis and with the help of the recursive approximation in a broad sense,it distinguishes several possibilities of machine consciousness,defines the hierarchy of intelligent agent subjectivity,and clarifies the basic conditions and judgment criteria for intelligent machines to become quasi-subjects.Accordingly,a hierarchical and gradual alignment strategy for intelligent agents is proposed,which not only adopts a conservative strategy to prevent the extremely low-probability risks of machine consciousness,but also does not hinder the development of general artificial intelligence as a pure intelligent tool.
张昌盛
中国社会科学院大学 哲学院,北京 102488||中国社会科学院 哲学研究所,北京 100732
社会科学
智能机器机器意识关系实在论自我指涉意识的极限条件主体性层级渐进对齐
intelligent machinemachine consciousnessrelational realismself-referentialitylimit conditions of consciousnesssubjectivity hierarchygradual alignment
《北京工业大学学报(社会科学版)》 2026 (5)
95-110,16
中国社会科学院哲学研究所创新工程项目重点项目(2026ZXSCX04)
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