GENSOFNN-YAGER: A Novel Hippocampus-like Learning Memory System Realizing Yager Inference

Recent advances in cognitive neuroscience have revealed the role of hippocampal region as a mediator for explicit memory, which is crucial for human cognitive processes and for developing machine intelligence. This paper presents the novel Generic Self-organizing Fuzzy Neural Network realizing Yager inference (GENSOFNN-YAGER) that is built specifically to model the functional aspects of hippocampus as explicit memory and to emulate human decision making abilities. The main feature of the Yager inference is that, when the input matches the rule antecedent exactly, the resultant output matches the consequent exactly, in a way similar to that of human reasoning. The presented experimental results show the effectiveness of the proposed system.