期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：6
页码：8161-8165
出版社：TechScience Publications
摘要：Perception is an important aspect of cognition process. All the perceived data may not be essential for cognition process therefore we can classify the perceived data as essential and quintessential. We can save the essential in working memory and the quintessential in long term memory. Thereby enhancing the performance of the cognition process as only relevant information is available. The classification is done based on BDI (belief, desire and intention) model using naïve bayes classifier. The same has been implemented using SWI prolog and successfully classifying perceived data as effective and trivial perception based on BDI model using naïve bayes by first estimating the prior probability for effective and trivial perception and then likelihood probability.
