1. Reactive Machines: Reactive machines are the most basic type of AI. They are programmed to respond to specific stimuli, but can’t learn from their environment or past experiences. Examples of reactive machines include IBM's Deep Blue, which was the first AI to defeat a world champion in chess.
2. Limited Memory: Limited memory AI systems are able to learn from their environment and past experiences. For example, self-driving cars use this type of AI to plan routes and anticipate obstacles.
3. Theory of Mind: Theory of mind AI is designed to understand and interact with humans on an emotional level. These AI systems are often used in customer service and healthcare applications.
4. Self-Aware: Self-aware AI systems are the most advanced type of AI. They are designed to learn from their environment and develop goals and plans to achieve them. Examples of self-aware AI include IBM's Watson and Google's DeepMind.
2. Limited Memory: Limited memory AI systems are able to learn from their environment and past experiences. For example, self-driving cars use this type of AI to plan routes and anticipate obstacles.
3. Theory of Mind: Theory of mind AI is designed to understand and interact with humans on an emotional level. These AI systems are often used in customer service and healthcare applications.
4. Self-Aware: Self-aware AI systems are the most advanced type of AI. They are designed to learn from their environment and develop goals and plans to achieve them. Examples of self-aware AI include IBM's Watson and Google's DeepMind.