Artificial Intelligence And Expert Systems
Artificial Intelligence and Expert Systems
Abhinav Maurya (Ph. #:9821618787 abhinav.maurya@yahoo.com)
Manisha Ankam (Ph. #:9920449969 manisha_ankam@yahoo.co.in)
T.Y.B.Tech.(Computers),
V.J.T.I.
Abstract
Artificial Intelligence is the study of computers so as to imbue them with the simulation of human reasoning.
Artificial Intelligence was initially used to perform formal tasks such as game playing and theorem proving. Later it was used to tackle harder tasks such as natural language processing, building expert planning systems and truth maintenance systems, perception, speech recognition, etc.
The biggest advantage of Artificial Intelligence is the ability of its systems to adapt to new surroundings and solve new problems by learning about the problem at hand.
Expert systems are complex Artificial Intelligence programs which can construct expert knowledge bases, come up with a set of candidate solutions for a given problem belonging to their domain with the help of iterative heuristic
reasoning mechanisms, and use differentiating knowledge to determine which solution is best. Expert systems are intelligent because they can incorporate changes that enable the system to do the same task or tasks drawn from the same population more efficiently and more effectively the next time.
The paper addresses the nature of work being done in this field, and applications of AI and Expert Systems in developing breakthrough technology. It also presents a case-study underscoring the basic principles of Expert Systems.
1. An Introduction to Artificial Intelligence:
"Artificial intelligence is the art of creating machines that perform functions that require intelligence when performed by people." (Kurzweil)
Artificial Intelligence (AI) can be defined as the study of methods by which a computer can...
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