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Emotional Learning in a Simulated Model of the Mental Apparatus

Authors

Martin Fittner1 and Christian Brandstatter2, 1Vienna University of Technology, Austria and 2Research Institute of Molecular Pathology (IMP), Austria

Abstract

How a human being learns is a wide field and not fully understood until now. This paper should give an alternative attempt to get closer to the answer how human beings learn something and what the relation to emotions is. Therefore, the cognitive architecture of the project “Simulation of Mental Apparatus and Applications (SiMA)” is used to fulfill two tasks. One is to give an answer to the question above and the other one is to enhance the functional model of the mental apparatus with learning. For that reason, the functions of the model are analyzed in detail for their ability to enhance them with a learning ability. The focus of the analysis lay on emotions and their impact on the ability to change memories in the model to determine a different behavior than without learning.

Keywords

Learning, Emotion, Artificial General Intelligence, Simulation of Mental Apparatus and Applications (SiMA), Artificial Recognition System (ARS), Cognitive Architectures, Cognitive Automation, Psychoanalytically Inspired AI, Software Agents

Full Text  Volume 7, Number 1