A hypothalamic and piagetian fuzzy inference system: HtPFIS

This paper presents a new approach to solving model externalization by taking into consideration the imprecise nature of decision makers´ judgements on the different tacit models. Knowledge in the form of fuzzy rules are created using a neuro-fuzzy system called the Hypothalamic and Piagetian Fuzzy Inference System (HtPFIS). The structure of HtPFIS is inspired from the simplified neuronal circuitries of the preoptic area and anterior hypothalamus (PO/AH) which are involved in the thermoregulation of body temperature. HtPFIS employs a novel structure learning algorithm that is inspired from the Piaget´s constructivist emphasis of action-based cognitive development in human. Results from the experiments show that HtPFIS is able to represent the formulated explicit model using a set of concise fuzzy rules knowledge base, and achieve better or comparable generalization than other models.