从智能感知到意识：非交互代理的计算意识的信息结构模型
From Smart Sensing to Consciousness: An info-structural model of computational consciousness for non-interacting agents
摘要：
本研究提出了一个非交互代理的计算意识模型。兴趣现象被假定为顺序依赖于感觉、知觉、情绪、情感、注意、意识和意识的认知任务。从智能感知前驱研究开始，与注意力、意识和意识过程相关的认知层被正式定义，并与其他关于感觉、知觉、情绪和情感的过程一起进行测试。该模型的输出包括一个指数，从计算道德的角度综合了意识的能量和熵的贡献。注意是通过自下而上的方法建模的，而意识和意识是通过区分环境和主观认知过程来建模的。通过对引起快乐、愤怒、恐惧、惊讶、轻蔑、悲伤、厌恶和中性状态的视觉刺激的测试，发现所提出的模型与有关内隐注意的科学证据是一致的。关于调查视觉刺激重复的结果，以及调查引起厌恶和悲伤的视觉刺激的道德判断的研究，也获得了类似的结果。该解决方案代表了一种通过人工情感活动和道德来定义计算意识的新方法。
英文摘要：
This study proposes a model of computational consciousness for non-interacting agents. The phenomenon of interest was assumed as sequentially dependent on the cognitive tasks of sensation, perception, emotion, affection, attention, awareness, and consciousness. Starting from the Smart Sensing prodromal study, the cognitive layers associated with the processes of attention, awareness, and consciousness were formally defined and tested together with the other processes concerning sensation, perception, emotion, and affection. The output of the model consists of an index that synthesizes the energetic and entropic contributions of consciousness from a computationally moral perspective. Attention was modeled through a bottom-up approach, while awareness and consciousness by distinguishing environment from subjective cognitive processes. By testing the solution on visual stimuli eliciting the emotions of happiness, anger, fear, surprise, contempt, sadness, disgust, and the neutral state, it was found that the proposed model is concordant with the scientific evidence concerning covert attention. Comparable results were also obtained regarding studies investigating awareness as a consequence of visual stimuli repetition, as well as those investigating moral judgments to visual stimuli eliciting disgust and sadness. The solution represents a novel approach for defining computational consciousness through artificial emotional activity and morality.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
