A decision unit inspired by cognitive sciences for future robotic applications

The complexity of technical systems is constantly increasing. To manage the amount of data several strategies have been followed and a lot of achievements were made especially in artificial intelligence. But still the capabilities of human intelligence are unrivaled. The contribution of this article is an introduction to a decision unit based on psychoanalytical models and a description how the findings can be used in future robotic applications. The neuro-psychoanalytical theories used, cover a comprehensive model of human intelligence and presents structures for all aspects of human decision making. The psychoanalytic-inspired decision unit shows promising prospects that standard planning and control units lack in various respects. Amongst others, scenario and experience-based planning, drive-based intention models, and the 3-tier (neuro-symbolic, thing presentations, word presentations) data processing architecture, are very promising methods. In order to validate the model, a simulation environment was implemented holding various agents with the neuro-psychoanalytical decision unit. This first implementation shows the possibilities of the system and gives a great outlook for future investigations of the capabilities.