CHAPTER 9 - Enabling The Organization ( Decision Making)

CHAPTER 9 - Enabling The Organization ( Decision Making)

Categories of Artificial Intelligence systems are:

 EXPERT SYSTEM 

Expert system are computed advisory programs that imitated the reasoning process of experts in solving difficult problem, human experience is transferred to the expert system and users can access the expert system for specific advice.

Example of Al system

NEURAL NETWORKS

A neural network also called an artificial neural network , is a category of AL that attempts to emulate the way the human brain work. Also 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. 

  

GENETIC ALGORITHMS

A genetic algorithm is an artificial intelligence system that mimics the evolutionary survival of the fittest process to generate increasingly better solutions to a problem. 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.

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.