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Computational and psychophysical approach to attentional allocation and decision making.

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Author(s):
Carolina Feher da Silva
Total Authors: 1
Document type: Doctoral Thesis
Press: São Paulo.
Institution: Universidade de São Paulo (USP). Instituto de Ciências Biomédicas (ICB/SDI)
Defense date:
Examining board members:
Marcus Vinicius Chrysostomo Baldo; Nestor Felipe Caticha Alfonso; Peter Maurice Erna Claessens; Ronald Dennis Paul Kenneth Clive Ranvaud; Gilberto Fernando Xavier
Advisor: Marcus Vinicius Chrysostomo Baldo
Abstract

The evolutionary process leaves biases in the nervous system so as to optimize our cognitive capacities to the environment where we evolved. Our objective is to create artificial life models wherein selective attention, decision making in binary sequences and reaction time to the abrupt appearance of a target preceded by a cue emerge as a consequence of evolution. In our experiments, selective attention biased stimuli processing so as to give priority to the most relevant stimuli when they had different relevances. Our decision making experiments support the theory that probability matching, the strategy adopted by humans in this kind of experiment, is a consequence of a search for patterns, which results from the importance that finding regularities in our environment had during human evolution. In the study of reaction time, the behavior observed in humans could only be modeled in populations of artificial animal when there was noise and they had to select an appropriate action between two possible ones. (AU)