Expert system...
A good example of application of expert systems in banking area is expert systems for mortgages. Loan departments are interested in expert systems for mortgages because of the growing cost of labor which makes the handling and acceptance of relatively small loans less profitable. They also see in the application of expert systems a possibility for standardized, efficient handling of mortgage loan, and appreciate that for the acceptance of mortgages there are hard and fast rules which do not always exist with other types of loans.
EXPERT SYSTEMS:
One of the largest area of applications of artificial intelligence is in expert systems, or knowledge based systems as they are often known. This type of system seeks to exploit the specialized skills or information held by of a group of people on specific areas. It can be thought of as a computerized consulting service. It can also be called an information guidance system. Such systems are used for prospecting medical diagnosis or as educational aids. They are also used in engineering and manufacture in the control of robots where they inter-relate with vision systems. The initial attempts to apply artificial intelligence to generalized problems made limited progress as we have seen but it was soon realized that more significant progress could be made if the field of interest was restricted.
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.
Neutral network
Attempts to emulate the way the human brain work.Artificial intelligence are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons). Artificial neural networks may either be used to gain an understanding of biological neural networks, or for solving artificial intelligence problems without necessarily creating a model of a real biological system. The real, biological nervous system is highly complex: artificial neural network algorithms attempt to abstract this complexity and focus on what may hypothetically matter most from an information processing point of view. Good performance (e.g. as measured by good predictive ability, low generalization error), or performance mimicking animal or human error patterns, can then be used as one source of evidence towards supporting the hypothesis that the abstraction really captured something important from the point of view of information processing in the brain. Another incentive for these abstractions is to reduce the amount of computation required to simulate artificial neural networks, so as to allow one to experiment with larger networks and train them on larger data sets.
Intelligent Agent
Purposed knowledge-based information system that accomplishes specific tasks on behalf of its users include multi-agent systems and agent-based modeling.
An example of intelligent agent is used in technology in Travel Reservation Systems…a travel agent, software or human, must not operate on behalf of any single airline or any other similar company, so that it will be able to obtain optimum offers for their clients. Therefore, by definition, the perfect software travel agent will be one owned by a travel agency and will work to obtain optimum packages for its customers.
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