Perceptive learning — A psychoanalytical learning framework for autonomous agents

Reacting to unpredictable situations is one of the main problems in technical automation. This article introduces two developed framework for decision units for embodied autonomous agents. The models are compared to an existing architecture, the BDI architecture. The basis of the described model is using psychoanalytical concepts. Drives, emotions and wishes are the basics that build a reaction due to an existing situation. A concept of strategy planning, using the Freudian wish has been described. Using a concept of thinking of the humans psyche that develops during childhood, the difference between thing presentations and word presentations is shown and based upon that, a possible learning strategy is elaborated.