Neural systems have been assumed to represent knowledge through the embodiment of sensory experiences. This type representation is considered fundamentally different from artificial intelligence approach, which implements using ‘symbolic’ approach.Recent behavioral and neuroimaging studies color (and other visual knowledge) with without experience provide empirical evidence for neural coding no...

Modern AI technologies make use of statistical learners that lead to self-empiricist logic, which, unlike human minds, learned non-symbolic representations. Nevertheless, it seems is not the right way progress in AI. The structure symbols—the operations by which intellectual solution realized—and search for strategic reference points evoke important issues analysis Studying how knowledge can be...

As the performance and complexity of machine learning models have grown significantly over last years, there has been an increasing need to develop methodologies describe their behaviour. Such a mainly arisen due widespread use black-box models, i.e., high-performing whose internal logic is challenging understand. Therefore, AI field facing new challenge: making more explainable through appropr...