2. What are Expert Systems?
Expert systems are systems that utilize a large
amount of human knowledge on differing topics in
order to solve specific problems.
As these systems require human knowledge, they can
therefore only be practical in fields with existing
human experts.
3. What makes Expert Systems unique?
In contrast to most problem-solving programs which
are produced for the purpose of solving specific
problems where the solutions to them are already
included in the program, which could become
outdated with time, expert systems are able to draw
upon the knowledge of experts to form a database of
facts called a “knowledge base”.
4. What makes up an Expert System?
There is an inference engine, which by using the rules
set in the rules base is able to reason through the
problems set by the user
There is also a user interface, which is the way in
which the computer interacts with the user. Through
asking further questions towards the user, the
inference engine is able to find more appropriate
solutions to the problems set.
5. Types of Expert Systems
Mineral prospecting, which gathers data from sensors on site to
discover the likelihood of a desired ore being present.
Investment analysis, which is able to monitor stock markets to
find the optimum time to buy and sell shares.
Credit analysis, which allows banks to determine the risk in
lending to specific individuals or companies.
Medical diagnosis, which allows doctors or patients to input
their systems and returns to them a list of possible illnesses.
Plant and animal identification, which asks the user about the
features of the plant or animal and suggests a likely match from
its database.
