Bionically inspired information representation module

In artificial intelligence, various theories on knowledge representation have gained ground. While logic descriptions, semantic nets, frames and associative networks are used for the implementation, the question which theory is best to be used as archetype for the knowledge model is controversially discussed. Regarding the use of biological principals, neural nets and psychological inspired theories are applied to technical concepts. Both approaches show disadvantages regarding their engineering usage. This article presents an information representation module that is developed for a psychoanalytical inspired reasoning unit. The module and its advantages in contrast to other approaches are discussed and tested in a game of artificial life. Defined data structures and the psychoanalytic background are explained. A use case is shown which helps to understand the principals behind the model.