state 2 types of artificial intelligence software

Here are the two main types of artificial intelligence software, categorized by capability and functionality: Reactive Machines - Description: This is the most basic type of AI software. It has no memory or past experience to influence current decisions. It simply analyzes the current data or situation and reacts to it based on pre-programmed rules or algorithms. It cannot learn or improve over time. - Example: IBM's Deep Blue (the chess computer that beat Garry Kasparov). It evaluated the board in real-time and chose the best move without remembering previous games. Another example is a spam filter that only looks at the current email to decide if it's spam. Limited Memory - Description: This software can look at historical data or past observations to inform its current decisions. It has a temporary "memory" that it uses to learn and improve its performance over a short period. Most modern AI applications fall into this category. - Example: Self-driving cars. They observe the speed of other cars, their past trajectories, and road signs from the last few seconds to decide when to brake or change lanes. Another common example is ChatGPT or other LLMs (Large Language Models), which use the history of your current conversation to generate contextually relevant responses.