Bionic inspired information representation for autonomous agents

In AI, different bionic inspired theories on memory have gained ground. On the one hand neuronal networks are often used to realize learning systems. On the other hand psychology influences engineers by introducing the models of implicit and explicit memory. While neurology leaves out the question how mental functions emerge out of the brain structure, psychology classifies information but does not make a statement on its structure. This article presents a psychoanalytic inspired approach on information representation introduced within the ARS project. A short overview on the ARS model is given and the psychoanalytic theory behind information representation is presented. The developed technical concept is introduced and a use case for testing the model is defined.