An expert system is a program running on a computer.
So, the user has information about their problem even before the final answer of the expert system.
The expert system will then use a set of rules and give answers to the question.
"We try to focus on a few learning objectives within a simple expert system," he said.
To run an expert system, the engine reasons about the knowledge base like a human.
In batch, the expert system has all the necessary data to process from the beginning.
The building, maintaining and development of expert systems is known as knowledge engineering.
There are generally three individuals having an interaction in an expert system.
Expert systems are computer tools that apply knowledge to a problem.
It has been suggested that expert systems might be 'a solution looking for a problem'.
Explains the nature and limits of intelligent machines, especially expert systems.
This research develops and extends these systems of tests, and incorporates expert system features into them.
Self-service software is sometimes referred to decision support software and even expert systems.
While most expert systems process only a few rules a second, G2 processes hundreds of rules a second.
Not surprisingly, many businesses are looking into a field known as "expert systems" to capture, preserve and distribute such wisdom.
Worse still, most expert systems use a computational engine incapable of reasoning.
An example of the application of expert systems in the financial field is expert systems for mortgages.
Nearer on the horizon, and also promising rewards for business, are expert systems.
The limitations of most computerized problem solving techniques inhibit the success of many expert systems in the legal domain.
"The way to get around it is expert systems."