The Cognitive Machine as Mental Language Automata

Carla Verônica Machado Marques, Carlo Emmanoel Tolla de Oliveira and Cibele Ribeiro da Cunha Oliveira
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Carla Verônica Machado Marques: Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
Carlo Emmanoel Tolla de Oliveira: Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
Cibele Ribeiro da Cunha Oliveira: Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2018, vol. 12, issue 1, 75-91

Abstract: This article describes how learning is a native ability of the brain. However, very little is known of the process as it happens. The engineering model presented in this work provides a base to explore the innards of cognition. The computational implementation of the model is usable to assess cognitive profiles by means of machine learning and harmonic filtering. The model relies on an evolutionary dimensional space consisting of phylogenetic, ontogenetic and microgenetic timelines. The microgenetic space reveals the state machine nature of cognition, standing as an internal translator to a brain specific language. The study of this machine and its language is the key to understanding cognition.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jcini0:v:12:y:2018:i:1:p:75-91

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