Application of thinking model in intellectual question-answer systems

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Александр Сергеевич Тощев

Abstract

We described an evolution of thinking model in application with building intellectual question-answer system for automation processing user requests in natural language, starting with simple decision trees and finished with human thinking model. Every model has been developed, prototyped and tested. Experimental data and conclusions for every model provided.

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Author Biography

Александр Сергеевич Тощев

Received MS degree in mathematics and economics from Kazan Federal University (2011). Currently is a graduate student at the N.I. Lobachevskii Institute of Mathematics and Mechanics of Kazan Federal University. Current scientific interests: data mining, artificial intelligence, machine learning.

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