Reactive Machines The first type is a reactive machine. This type of AI is the most basic of several types/types of AI. This type of machine reacts only based on current conditions (data) or determined conditions (data), so decisions are not based on previous data. Think about it, you must have used this type of machine, such as movie recommendations, spam filters, chess-playing supercomputers, etc. Example of reactive machine However, how can it be said to be the most basic? This is because when a machine is programmed, it is assigned a specific/specific task and will not have any other advantage other than the main task. The machine does not interact with its environment and just responds to the same things over and over again based on predetermined scenarios.
Are you an organized person
If so, it is very similar to the definition of such a machine. This type of limited memory intelligence is a machine that is able to improve its decision-making capabilities by using data/knowledge from previously studied events. This type of intelligence is able to store data from whatsapp data a certain period of time. In contrast to reactive machines, these machines are able to learn from previous events by analyzing the actions or data given to these machines. For example, virtual assistants, chatbots, self-driving cars, etc. Voice Assistant Google Voice Example The machine can improve its accuracy over time thanks to its ability to store previous data and predictions. No wonder artificial intelligence is getting smarter.
There are two types of AI machines
we may have used before when working or even studying from home. So, are there other types of AI that we haven’t tried yet? Of course there is, a type of artificial intelligence called theory of mind. theory of mind Self-awareness in artificial intelligence depends on BJ Lists the understanding of researchers who successfully understand the nature of human consciousness. How artificial intelligence works Now that we know the types of intelligence, we also need to understand the big picture of how AI works. From the previous discussion, we know that intelligent machines need data and algorithms before they can make decisions or learn anything.
