Development of perceptual cognitive model using BDI model

Abstract

This research investigates the concept of designing a cognitive perceptual model using the BDI model That has the ability to identify and classify the perceived sensory data as relevant and irrelevant Its very essential to classify the perception to avoid processing of irrelevant data In an agent environment of artificial intelligence to demonstrate intelligence requires processing computing and inferring from the enormous knowledge In the absence of the classifier the agent may process an irrelevant data without any productive outcome This happens at the expense of expensive computational tasks usage of memory and also theres a possibility of irrelevant data maligning relevant data newline