A System of Serial Computation for Classified Rules Prediction in Non-Regular Ontology Trees
Kennedy E. Ehimwenma, Paul Crowther, Martin D. Beer · International Journal of Artificial Intelligence & Applications · 2016
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 structures in a multiagent system for uniform pre-assessments in a learning environment.This regular ontology has led to the modelling of a classified rules learning algorithm that predicts the actual number of rules needed for inductive learning processes and decision making in a multiagent system.But not all processes or models are regular.Thus this paper presents a system of polynomial equation that can estimate and predict the required number of rules of a non-regular ontology model given some defined parameters.