The principles of investigation

The modern science of the Artificial intelligence (AI) gives four main principles of investigation that are the logical, the structural, the evolutional and the simulation principles.
The logical principle is based on the Boolean algebra. Every programmer knows it as well as the logical operators since he/she started to learn IF. Almost every AI system is based on the logical principle and is the machine of theorems proving.
The structural principle means the attempts to construct the AI with the help of the human brain structure model. It is connected with the neurones. The result of this principle usage is known as the neurotic network. The realization of neurotic networks is the neural computer.
The evolutional principle means that during the AI creation a lot attention is paid to the construction of the initial model and to the rules according to which it may change that means it may evolve. Moreover the model may be built according to other principles such as the neurotic networks or the logical structure, etc. After choosing the principle scientists simply turn on the computer that chooses the best programs and model the one construction on their base.
The simulation principle is the classical principle of cybernetics with one of its main notions that is blackbox. The object, the behaviour of which is modelled, is called the blackbox. It is not important what is inside it, how it works the main thing is that the got model works in the same way in the similar situations.
