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

Abstract

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.