Self-modificated predicate networks

Research output

Abstract

A model of self-modificated predicate network with cells implementing predicate formulas in the form of elementary conjunction is suggested. Unlike a classical neuron network the proposed model has two blocks: a training block and a recognition block. If a recognition block has a mistake then the control is transferred to a training block. Always after a training block run the configuration of a recognition block is changed. The base of the proposed predicate network is logic-objective approach to AI problems solving and level description of classes.
Original languageEnglish
Title of host publicationInternational Journal on Information Theory and Applications
Pages245 – 257
Publication statusPublished - 2015
Externally publishedYes

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    Kosovskaya, T. (2015). Self-modificated predicate networks. In International Journal on Information Theory and Applications (pp. 245 – 257)