In this article we are going to talk about some of the most important aspects of Inference Engine. we shall see what it is, what it can do and how it can help you. Let us start by understanding the basics of Inference Engine.
An Inference Engine: What Is It?
Inference Engine is basically a key component of an expert system. An expert system is basically an AI system or part or subset of an AI system.
What is it that Inference Engine-a subset of an AI system does?
An inference engine’s primary job is to extrapolate knowledge from a collection of facts and rules. From here on, it analyses the information in the knowledge base and draw logical and deductive inferences from the synthesis and analysis of the data. At the end of the day, it is tasked with the job of deriving and deducing new conclusions from a set of data and rules. The data set is pre-determined.
Fact handling is a very important facet of Inference Engine. Facts are bits of data that are either supplied by the user or acquired from other sources. The engine takes these facts as raw data to apply the rules. Based on the rules and available data, the inference engine draws new conclusions. To take known data and extrapolate unknown data or judgements from it is the engine’s primary role.
Once conclusions are reached, the inference engine can also explain the reasoning behind the findings. Users will be better able to comprehend the rationale behind the choices, which will boost system transparency and confidence.
