发表机构
University of Information Technology and Management in Rzeszów（热舒夫信息技术与管理大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出MEM架构，通过整合受体表征、内感受与重入机制，为AI意识判定提供可检验的假说，并强调需经验验证。
AI 中文摘要
本文探讨了在何种条件下人工智能能够被合理地赋予意识属性。语言能力、多模态处理、记忆、规划、行动控制以及类人具身并不足以作为现象体验的充分证据。相反，生物前体如兴奋性、稳态、神经网络和层级表征所对应的功能，可能通过工程手段得以实现。本文比较了传统大语言模型（LLM）、混合h-LLM、视觉-语言-行动系统以及具身智能体与动机情感心智（MEM）架构。MEM架构增加了基于受体的表征、调节性自我监控与内感受、情感、基于象征的联想记忆，以及对较低层感觉和内感受图谱的重入。相关定义将现象状态描述为整个具身系统的动态、整合状态，其中基于感觉的模态内容被循环稳定，并与系统调节状态的超阈值内感受表征相耦合。已发表于arXiv的MEM数学模型具体说明了这些组件之间可实现的关系，使该提议更加精确和可检验。在人类、无脊椎动物和人工系统中进行的比较性和因果性测试，可能增强或削弱MEM的能力。因此，MEM被提出作为一个可证伪的研究纲领，需要经验验证和伦理审慎。
英文摘要
This article asks under what conditions artificial intelligence could warrant a rational attribution of consciousness. Linguistic ability, multimodality, memory, planning, action control, and humanoid embodiment are not sufficient evidence of phenomenal experience. Biological precursors such as excitability, homeostasis, neural networks, and hierarchical representation instead identify functions whose counterparts may be engineered. The paper compares conventional LLMs, hybrid h-LLMs, vision-language-action systems, and embodied agents with the Motivated Emotional Mind (MEM) architecture. MEM adds receptor-grounded representations, regulatory self-monitoring and interoception, affect, semblion-based associative memory, and re-entry into lower sensory and interoceptive maps. A related formulation defines a phenomenal state as a dynamic, integrated state of the whole embodied system in which sensor-grounded modal content is recurrently stabilized and coupled to a suprathreshold interoceptive representation of the system's regulatory state. The mathematical model of MEM published on arXiv specifies implementable relations among these components and makes the proposal more precise and testable. Comparative and causal tests in humans, invertebrates, and artificial systems could strengthen or weaken the MEM capabilities. MEM is therefore presented as a falsifiable research program requiring empirical validation and ethical caution.
