The Cognitive Machine as Mental Language Automata

The Cognitive Machine as Mental Language Automata

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) and Cibele Ribeiro da Cunha Oliveira (Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil)
DOI: 10.4018/IJCINI.2018010106

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.
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The Tangibility Of Human Cognition

Cognition is an internal process mostly inaccessible from the conscious mind. As Penrose (2014) remarks, consciousness is a process occurring as deep as quantum events in microtubules inside brain cells. The cognition process lies down beneath brain functionality, even more deeper away from consciousness, it belongs essentially to subconscious thought. The hermetic aspect of the particular processes poses as an overwhelming obstacle impeding direct observation with accessible technology for years to come. At psychogenesis level, examination can determine intellectual improvement, once it is a process that occurs in a couple of years. Microgenesis, evolving in the short span of minutes, leaves scarce traces of its whereabouts.

The microgenetic dimension encompasses countless microprocesses that bind in a logical sequence to complete the links of understanding that pertain to human reasoning. If any of these steps are broken, access to information is interrupted due to lack of meaning. When one speaks of microgenetics, there is a range of theories that approach the subject. Inhelder (1992) is co-author of the most accepted theory, largely drawn from the extensive works of her colleague Jean Piaget. Lemos (2014) increases the scope of Inhelder with modern works on this subject.

Microgenetics defines a set of states and a procedure to walk through these states using an internal encoding and processing befit to brain innards. In accordance with the microgenetic theory, the existence of these states and process arise independent of the lack of access to the current states or the mental operations. Regarding the nature and initial installation of the learning machine, it can be said that the distribution is the same for all brains. In contrast, each brain is characterized by an individual formation process, in addition to the cultural interactions that are responsible for reformulating some areas to prevail and others to recede. Inevitably, the theories of microgenesis presuppose the existence of a machine common to all brains capable of stepping through all these states until the cognitive process is completed.

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