Taste perceptual circuit for the generation of autonomous responses in virtual creatures

Abstract

BraLearning is one of the most complex cognitive processes that living beings have. This process is distributed within the brain and each independent cognitive function contributes to a small or large extent to it. Particularly, affective learning is a process that allows us to identify stimuli in the environment and discriminate them based on our tastes or preferences. Within this work we will address a type of affective evaluation generated by the perceptual circuit of taste that allows us to determine flavors from the environment and how this information becomes part of the perceptual affective evaluation. We will start this work by identifying other computational works that address affective processes oriented to taste or that involve some other affective evaluation. Subsequently, we analyze of neuroscientific information that allows us to build an informal model of the perceptual circuit of taste. Finally, we propose a cognitive architecture for the generation of autonomous responses oriented to taste in virtual creatures and we will demonstrate its functionality through an implementation of this model in some case studies through distributed modules and discuss the results obtained.