What are the different techniques of artificial intelligence?

While there are many different artificial intelligence techniques that have been developed, and the new methods have been created, several forms of artificial intelligence (AI) became increasingly popular. The most common techniques include the use of neural networks and the development of professional systems. These different artificial intelligence techniques can be used to develop various forms of AI, usually based on the amount of "thinking" that the program can actually do, and these are known as "strong AI" or "weak AI". In general, artificial intelligence concerns a program that is able to imitate or re -create thought processes proven by the human brain. This usually involves solving problems, observation or receiving input for use in the analysis or solving problems and the ability to categorize and identify different objects and properties of these objects.

There are many different techniques of artificial intelligence that can be used by AI programmer, albeit two of nNeuron networks and professional systems are more ejt. Neural networks are computer programs designed around cognitive processes used by the human brain. The neuron network basically consists of layers of categorization and methods by which objects can be identified and categorized. It is similar to the idea of ​​a scheme in human knowledge that allows people to identify objects based on the characteristics of these objects. New information presented with neural network can then be analyzed and identified on the basis of previously inserted criteria, allowing the system to “learn” new categories and identify known or unknown objects.

Expert systems are techniques of artificial intelligence based on logic and "if/tap report Hen". This usually includes a large amount of information that is "taught" to the computer system, which makes the system an expert in a particular area. When a new input is introduced, such as the process of processing financial reports, the professional system can analyze using these orders IF/THAR K Othe limit of the output response.

These various artificial intelligence techniques can be used to develop systems that are considered "strong AI" or "weak AI". Strong AI systems are those that are most fully trying to imitate human thinking and cognitive abilities through a wide range of functions. These systems can analyze new information and provide an output that potentially exceeds input data. Artificial intelligence techniques that develop weak AI systems are more focused and try to replicate only one function or aspect of human intelligence.