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.
翻译:本研究提出了非互动代理人的计算意识模式。 兴趣现象被假定为依次取决于感知、感知、情感、情感、感情、注意力、认识和意识等认知任务。 从智能感知预感研究开始,与关注、认识和意识过程有关的认知层与感知、感知、情感和感情等其他过程一起正式界定和测试。模型的输出结果包含一个指数,该指数综合了从计算道德角度认识的能动和进化贡献。关注是通过自下而上的方法模拟的,而认识和意识则通过将环境与主观认知过程区分开来。通过测试视觉刺激激发幸福、愤怒、恐惧、惊喜、蔑视、悲伤、厌恶和中性状态等情绪的解决方案,发现拟议的模型与隐蔽关注的科学证据一致。还取得了可比较的结果,用于研究意识研究作为视觉重复的结果,以及调查道德判断以视觉刺激导致厌恶和悲伤的道德判断。该解决方案代表了通过人工道德确定计算意识的计算意识的新型方法。</s>