论文标题
存在和感知作为AGI的基础（人工通用智能）
Existence and perception as the basis of AGI (Artificial General Intelligence)
论文作者
论文摘要
众所周知，与AI不同的AGI（人工通用情报）应具有含义。这就是将其与AI区分开的原因。任何成功的AI实现（下棋，无人驾驶，面部识别等）都不会以任何方式使用处理对象的含义，也不识别含义。他们不需要。但是对于模仿人类思维的Agi来说，这种能力至关重要。定义“含义”概念具有非常重要的缺点的许多尝试 - 所有此类定义都不是严格和形式化的，因此无法对其进行编程。含义搜索程序应使用其存在的形式描述以及其感知的可能形式。对于AGI的实际实施，有必要在处理“含义”和“知识”的相关认知概念的背景下开发这种“现成的”描述。在本文中进行了正式化此类概念的定义的尝试。
As is known, AGI (Artificial General Intelligence), unlike AI, should operate with meanings. And that's what distinguishes it from AI. Any successful AI implementations (playing chess, unmanned driving, face recognition etc.) do not operate with the meanings of the processed objects in any way and do not recognize the meaning. And they don't need to. But for AGI, which emulates human thinking, this ability is crucial. Numerous attempts to define the concept of "meaning" have one very significant drawback - all such definitions are not strict and formalized, so they cannot be programmed. The meaning search procedure should use a formalized description of its existence and possible forms of its perception. For the practical implementation of AGI, it is necessary to develop such "ready-to-code" descriptions in the context of their use for processing the related cognitive concepts of "meaning" and "knowledge". An attempt to formalize the definition of such concepts is made in this article.
