Study on Forward Chaining and Reverse Chaining in Expert System

Abstract

Expert systems are part of a general category of computer applications known as intelligence. Expert system are designed to solve complex problems. Expert Systems is a branch of AI designed to work within a particular domain. To solve expert-level problems, expert systems will need efficient access to a substantial domain knowledge base, and a reasoning mechanism to apply the knowledge to the problems they are given. Usually they will also need to be able to explain, to the users who rely on them, how they have reached their decisions. As an expert is a person who can solve a problem with the domain knowledge. This research paper introduces introduction, parts, application of expert system. and difference between forward chaining and Backward chaining and Exactly meaning of Chaining. ETL tools uses functionality to extract, transform and load data from one system into another system, but our expert advises they're not optimal for application-to-application communication. In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert. The AI technology has become really advanced and its only matter of time when the machines will be able to learn almost anything. The machine learning algorithms are already very smart, however the Processing power has been a challenge in last decade .Now with the big data and distributed computing revolution this problem has become easy to solve. Many programmers and developers can start programming their own robots and other gadgets on their own. Artificial intelligence is a science and technology based on disciplines such as Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering. A major thrust of AI is in the development of computer functions associated with human intelligence, such as reasoning, learning, and problem solving