Knowledge Acquisition in Artificial Intelligence

Abstract

Abstract

Artificial Intelligence has gained so much popularity and its vast variety of application is already being witnessed by us but some specific Artificial Intelligence system requires knowledge over a particular subject in detail which is called knowledge-based system. This knowledge-based system requires knowledge in a systematic way that requires structuring, organizing, and storing knowledge in a way such that machine can have an application such as an expert system that is used for the query, a suggestion in decision making. This leads us to a broader concept and it is one of the bottlenecks of these AI systems called Knowledge Acquisition as acquiring knowledge for the AI system has always been a pretty tight case because only accurate knowledge can build a precise system. This paper covers the basic aspects of Knowledge Acquisition such as definition, techniques and various other aspects and terms related to it. This paper provides a basic idea about how knowledge is acquired from field experts differently and organized and arranged for the knowledge-based systems. The primary motivation behind this paper has been to understand the various complexion and implications related to the knowledge Acquisition technique in a relatively easier and understandable form. At the end of this paper, one will be familiar with the terms, techniques, and various processes involved.

Keywords: Knowledge Acquisition, Knowledge Representation, Expert System, Artificial intelligence, Intelligent System