1. Adaptation in order to meet the demands of the environment effectively .
2. Elementary processes of perception and attention.
3. Higher level processes of abstract reasoning, mental representation, problem solving,.
decision making.
4. Ability to learn.
5. Effective behavior in response to problem situations.
What artificial intelligence science does is to build up machines that have some or all characteristics of intelligence. In most of the cases there should be some programs running in those machines. Adhering to the aim, the computational structures that underlie artificial programs must support three fundamental operations:.
A) Representation, or encoding, of knowledge.
B) Reasoning with encoded knowledge to solve problems.
C) Acquisition and maintenance of knowledge bases.
The three aspects of computational structures in fact can be expanded into lots of research directions and topics. Which one of them is more important and more essential? How may we know?.
Hard as it may be, there is something fundamental here: WHY DON'T WE LEARN FROM THE GOD? We can study how human beings enhance intellectual skills and how each of the three aspects affects their intelligence, then we may apply those rules to our artificial intellectual agents. .
II. Human INTELLIGENCE.
As well known as IQ tests, nearly everybody has heard about it and many even have taken the tests. IQ tests are feasible because of the following assumption.
It is possible to ask people to solve a variety of intellectual problems and to use an index of performance on these problems as a measure of intelligence. The choice of the problems to be included in any measure of intelligence is not a critical issue.
Many scientists have devoted their effort to IQ test. And they draw these conclusions after millions of IQ tests on different group of people:.
First, people excelling in one type of intellectual task are likely to excel in other intellectual tasks.
