期刊名称：International Journal of Artificial Intelligence & Applications (IJAIA)
印刷版ISSN：0976-2191
电子版ISSN：0975-900X
出版年度：2016
卷号：7
期号：2
页码：21
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Objects or structures that are regular take uniform dimensions. Based on the concepts of regular models,our previous research work has developed a system of a regular ontology that models learning structuresin a multiagent system for uniform pre-assessments in a learning environment. This regular ontology hasled to the modelling of a classified rules learning algorithm that predicts the actual number of rules neededfor inductive learning processes and decision making in a multiagent system. But not all processes ormodels are regular. Thus this paper presents a system of polynomial equation that can estimate and predictthe required number of rules of a non-regular ontology model given some defined parameters.
