Limited Memory

 

Limited memory machines have short-term memory that allows them to temporarily store acquired experiences and take action based on them. Just as their name suggests, they can look into the past and create a memory – not the distant past, but still. This type of AI is more advanced than reactive machines. 

Information gathered from previous experiences is not stored in the machine’s content library so that it can be used in subsequent situations. Unfortunately, it is transient.

Limited Memory Machines Example

A perfect example of a machine with limited memory is self-driving cars. These cars observe the conditions on the road, analyze them, and make decisions about the applied speed, the shortest route, the behavior of vehicles from the opposite direction, etc. 

To make a decision safely, these machines don’t just look at the current situation – they identify road conditions and track other objects over a while. However, unlike human drivers, limited memory machines cannot apply the experience and knowledge gained from one drive to the next. Every time a self-driving car is started, the learning process begins again.