Brain Architecture for Visual Object Identification

Gustavo Torres, Karina Jaime and Félix Ramos
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Gustavo Torres: Department of Computer Science, Center for Research an Advance Studies of the National Polytechnic Institute (CINVESTAV IPN) Unidad Guadalajara, Guadalajara, Jalisco, México
Karina Jaime: Department of Computer Science, Center for Research an Advance Studies of the National Polytechnic Institute (CINVESTAV IPN) Unidad Guadalajara, Guadalajara, Jalisco, México
Félix Ramos: Department of Computer Science, Center for Research an Advance Studies of the National Polytechnic Institute (CINVESTAV IPN) Unidad Guadalajara, Guadalajara, Jalisco, México

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2013, vol. 7, issue 1, 75-97

Abstract: Visual memory identification is a key cognitive process for intelligent virtual agents living on virtual environments. This process allows the virtual agents to develop an internal representation of the environment for the posterior production of intelligent responses. There are many architectures based on memory modules for environment visual elements identification, as if they were invariant, this way of processing a visual scene is different from the one that real humans use. This document presents the description of a visual memory identification model based on current neuroscience state of art. Furthermore; the proposed model considers memory as a system that treats information in three stages: to encode, store and retrieve acquired knowledge about the environment. On the other hand, the authors validate the implementation of their approach with two identification tasks: when the stimulus is known and when it is unknown. Actually, this work is part of a proposal for a cognitive architecture that will let the authors create virtual agents with more credible human behaviors.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jcini0:v:7:y:2013:i:1:p:75-97

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