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https://doi.org/10.5753/cbie.s...
Article . 2016 . Peer-reviewed
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Modelo computacional evolutivo, adaptativo e preditivo para avaliação de funções cognitivas

Authors: Marcelo Soares; Claudia Motta; Carla Marques; Carlo Oliveira;

Modelo computacional evolutivo, adaptativo e preditivo para avaliação de funções cognitivas

Abstract

This research presents an evolutionary computational model, adaptive and predictive for the evaluation of cognitive functions with the proposal to be used for recreational or systems designed to assess functions such as planning, attention, successive and simultaneous processing. In addition, this model has a set of logical-mathematical riddles that are responsible for measuring the intensity and the quality of the answers given by the user, ie, this strategy allows the scoring process more accurate by the model actually able to measure how much an individual dominates on a particular subject and not only performed the expected response.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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