Ultra Sapient Inference Engine
Ashish Kumar Sharma, Nausheen Khilji · International Conference on Computing for Sustainable Global Development · 2016
This paper models a futuristic vision towards developing an Ultra Sapient Inference Engine (USIE) in Computer Science. Humans are considered as the most Sapient living creatures on Earth and have been named Homo-Sapiens scientifically. Bayesian models have been considered naturally appealing for quantifying relevance in intelligent inference along with the usage of probability theory & its main streams [1]. We shall also draw our paper from various fields in artificial Intelligence, perspicacious learning systems, neural networks, expert system and management Science as primal tools to develop USIE. Humans have a limited amount of attention to pay while inferring a solution collectively. It takes decades by scientists to diagnose & come up with epistemological solution for a scientific mystery. However if we are able to automate intelligent inference, it is ought to save considerable amount of time along with accurate results. We can say that cognitive style of humans will be morphed in this engine, with a difference that computers don't make mistakes until told to. The greatest challenge is to diagnose selection of rulings to be used during a collective inference and apply versatile decision process. The main contribution of this paper is towards developing a technical vision for USIE.