AI can be classified in any number of ways there are two types of main classification.
1. Weak AI or Narrow AI: It is focused on one narrow task, the phenomenon that machines which are not too intelligent to do their own work can be built in such a way that they seem smart. An example would be a poker game where a machine beats human where in which all rules and moves are fed into the machine. Here each and every possible scenario need to be entered beforehand manually. Each and every weak AI will contribute to the building of strong AI.
2. Strong AI: The machines that can actually think and perform tasks on its own just like a human being. There are no proper existing examples for this but some industry leaders are very keen on getting close to build a strong AI which has resulted in rapid progress.
Type2(based on functionalities):
1. Reactive Machines: This is one of the basic forms of AI. It doesn’t have past memory and cannot use past information to information for the future actions. Example:- IBM chess program that beat Garry Kasparov in the 1990s.
2. Limited Memory: AI systems can use past experiences to inform future decisions. Some of the decision-making functions in self-driving cars have been designed this way. Observations used to inform actions happening in the not so distant future, such as a car that has changed lanes. These observations are not stored permanently and also Apple’s Chatbot Siri.
3. Theory of Mind: This type of AI should be able to understand people’s emotion, belief, thoughts, expectations and be able to interact socially Even though a lot of improvements are there in this field this kind of AI is not complete yet.
4. Self-awareness: An AI that has it’s own conscious, super intelligent, self-awareness and sentient (In simple words a complete human being). Of course, this kind of bot also doesn’t exist and if achieved it will be one of the milestones in the field of AI.