摘要
由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于人工智能的新报告。根据NewsR X编辑在印度阿萨姆邦的新闻报道，研究表明：“1998年，菲尔兹奖获得者斯蒂芬·斯梅尔[斯梅尔(1998)[1]]向本世纪的数学家提出了他著名的十八个问题。他的第十八个问题的处理简单但非常重要。”我们的新闻记者从高哈蒂大学的研究中获得了一句话：“他的问题的陈述是，‘智力的极限是什么，无论是人工的还是人的？’为了回答人类智力的极限，本文引入了认知后果空间和认知后果拓扑。并主要证明了人类思维的演绎和非演绎部分永远不会是空的，证明了人类只要活着，就会继续用演绎和非演绎推理来思考和解决问题，从而得出人类智力是无限的结论，并介绍了认知闭合、认知相似距离、认知极限点、认知连续函数、结果理想、结果过滤等概念。本文还对认知结果拓扑空间与已有的拓扑空间的不同之处进行了适当的论证，认为认知结果拓扑空间是将认知空间与结果算子在一个框架内连接起来，从而发现人类智力的极限。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting out of Assam, India, by NewsR x editors, research stated, “In 1998, Fields medallist Stephen Smale [Smale (1998) [1] ] prop osed his famous eighteen problems to the mathematicians of this century. The sta tement of his eighteenth problem is simple but very important.” Our news reporters obtained a quote from the research from Gauhati University: “ The statement of his problem is, ‘What are the limits of intelligence, both arti ficial and human?’. To answer the limit of human intelligence, in this paper, we introduce cognitive-consequence space and cognitive-consequence topology, and m ainly prove that deductive and non-deductive parts of a human mind will never be empty. It proves a human being will continue to think and solve problems using both deductive and non-deductive inferences as long as they are alive. Hence, we conclude that human intelligence is limitless. We also introduce cognitive clos ure, cognitive similarity distance, cognitive limit point, cognitive-continuous function, consequence ideal, consequence filter, Godel’s incompleteness black ho le, and study related properties. We also provide suitable justifications to sho w that cognitive consequence topological space is not similar to that of any exi sting topological space because it connects cognitive space and consequence oper ator in one frame to find the limit of human intelligence.”
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