Abstract
In human learning, we memorize the given data as it is in the begining and we reach to find general knowledge from the data. This means that knowledge representations are switched. We proposed and simulated a learning method that switches knowledge representation. However, human never always switches knowledge representation in the same fashion. Our emotions influence our learning. In this paper, we introduce an emotion model to change parameters for the learning. Russell's circumplex model classifies emotions into four elementary emotions, joy, anger, sadness and relaxation. The degrees of elementary emotions are calculated by using fuzzy rules from the frequencies of reconstructing knowledge-set and switching knowledge representation, the incorrect answer ratio and the number of rules. They increase and decrease for the threshold of incorrect answer ratio of parameters for switching knowledge representation, reconstructing knowledge-set and switching reasoning method.
