THERE ARE THE CATEGORIES IN ARTIFIAL INTELLIGENCE SYSTEM.
GENETIC ALGORITHMS
An
artificial intelligent system that mimics the evolutionary,
survival-of-the-fittest process to generate increasingly better
solutions to a problem.It essentially an optimizing system, it finds the combination of inputs that give the best outputs.Useful
when search space very large or too complex for analytic treatment.In
each iteration (generation) possible solutions
or individuals represented as strings of numbers.
EXPERT SYSTEM
in the financial field is expert system for mortgages.. Loan departments are interested in expert systems for mortgages because
of the growing cost of labour, which makes the handling and acceptance
of relatively small loans less profitable. They also see a possibility
for standardized, efficient handling of mortgages loan by applying expert systems, appreciating that for the acceptance of mortgages there are hard and fast rules which do not always exist with other types of loans.
INTELLIGENT AGENTS
is an autonomous entity which observes through sensors and acts upon an environment using actuators and directs its activity towards achieving goals . Intelligent agents may also learn or use knowledge to achieve their goals. They may be very simple or very complex, a reflex machine such as a thermostat is an intelligent agent, as is a human being, as is a community of human beings working together towards a goal.
Consider
a real estate appraiser whose job is to predict the sale price of
residential houses. As with the Bank Loans example, the input pattern
consists of a group of numbers.For example,number of bedrooms, number of
stories, floor area, age of construction, neighbourhood prices, size of
lot, and distance to schools. This problem is similar to the Bank Loans
example, because it has many non-linearities, and is subject to
millions of possible inputs patterns. The difference here is that the
output prediction will consist of a calculated value the selling price
of the house. It is possible to train the neural network to simulate the
opinion of an expert appraiser, or to predict the actual selling
price.
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