人工意识:理论基石、多元应用与未来展望  

Artificial Consciousness:Theoretical Foundations,Diverse Applications,and Future Prospects

作　　者：郭源生 Guo Yuansheng(The Central Science and Technology Special Committee of Jiusan Society,Beijing,100089)

机构地区：[1]九三学社中央科技专门委员会,北京100089

出　　处：《科技智囊》2025年第3期1-12,共12页Think Tank of Science & Technology

摘　　要：[研究目的]系统阐述人工意识基本概念,深度剖析其理论架构、技术体系及其在多领域的实际应用。[研究方法]从哲学、认知科学以及神经科学的多重视角,深入解析人工意识的本质特征与内涵,构建涵盖感知、认知及反思的三层架构体系,并给出相应的理论依据和数学模型。通过结合工业设计与制造、智慧医疗与健康、智能交通与管理、技术创新与教育等典型行业应用场景中的实证案例,揭示人工意识在科学与客观决策、提升生产效率、优化资源配置方面的实际价值。针对人工意识引发的伦理争议以及面临的技术瓶颈,提出多维度数据支撑、科学优化的决策理念和多主体协同治理机制。[研究结论]人工意识将成为推动产业变革与社会进步的核心驱动力,未来需在类脑计算、伦理规制等方向实现深化突破。[Research purpose]This paper systematically expounds the fundamental concept of artificial consciousness,deeply analyzing its theoretical framework,technical system,and practical applications in multiple fields.[Research method]From interdisciplinary perspectives of philosophy,cognitive science,and neuroscience,it deeply explores the essential characteristics and connotations of artificial consciousness,constructing a three-layer architecture system covering perception,cognition,and reflection,and providing corresponding theoretical foundations and mathematical models.Through empirical cases in typical industrial scenarios such as industrial design and manufacturing,smart medical and health,intelligent transportation,and technological innovation and education,the paper reveals the practical value of artificial consciousness in scientific decision-making,production efficiency improvement,and resource optimization.Addressing ethical controversies and technical bottlenecks arising from artificial consciousness,it proposes multi-dimensional data-driven scientific optimization decision-making concepts and multi-stakeholder governance mechanisms.[Research conclusion]The paper demonstrates that artificial consciousness will become a core driving force for industrial transformation and social progress,requiring future breakthroughs in brain-inspired computing,ethical regulation,and other frontier directions.

关 键 词：人工意识 理论架构 应用验证 伦理治理 技术瓶颈 类脑计算 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程] B842.7[自动化与计算机技术—控制科学与工程] R318.08[哲学宗教—基础心理学]