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Intelligence Amplification via Language of Choice Description as a Mathematical Object (Binary Tree of Question-answer System)

机译:通过选择语言描述作为数学对象进行智能放大(问题树-答案系统的二叉树)

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A number of problems cannot be solved by the criteria language of choice description and the language of binary relations, i.e. the first and the second language of choice description. Therefore such problems were solved manually without amplifying intelligence. For example, the choice of one of two alternatives depends on presence of other alternatives; the notion of preference is meaningless. Out of many alternatives, the rules of choosing ?typical?, ?average?, ?the most extraordinary? and so on are used here. The authors have managed to find a solution to one of such problems via third language of choice description where mathematical object was presented by them as an abstract type of data – binary tree of question-answer system. This tree was used by authors to build problem-oriented system intelligence amplification ?Optimel? making the choice. This system allows determining the ?most suitable? solution method out of all existing ones.
机译:选择描述的标准语言和二元关系的语言,即选择描述的第一和第二种语言,不能解决许多问题。因此,这些问题是在不增加智能的情况下手动解决的。例如,两个备选方案之一的选择取决于其他备选方案的存在。偏好的概念是没有意义的。在许多选择中,选择“典型”,“平均”,“最不寻常”的规则。等等在这里使用。作者已经设法通过选择描述的第三种语言找到了一种解决此类问题的方法,其中数学对象是由它们作为抽象数据类型呈现的-问答系统的二叉树。作者使用此树来构建面向问题的系统智能放大“ Optimel”。做出选择。该系统允许确定“最合适的”?所有现有解决方案中的解决方法。

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