Types of Artificial Intelligence

 

Reactive Machines

These AI systems can only react to current inputs without forming memories. They can't learn from past experiences. 

Examples include recommendation systems that suggest products based on current browsing behavior and IBM's Deep Blue, which defeated a chess champion by analyzing positions and moves without learning from previous games.

Limited Memory

This type of AI uses historical data to make decisions. It can learn from past experiences but only for a short period. Autonomous vehicles, for example, use recent sensor data to navigate but don't retain information long-term. 

Other examples include chatbots that use recent conversation history to respond to queries.

Theory of Mind

This advanced form of AI is still theoretical. It refers to a machine's ability to understand human emotions, needs, and mental states. AI systems do not possess this capability, and achieving it remains a significant challenge in the field.

Self-aware AI 

is the most advanced and currently nonexistent form of AI. It would possess a consciousness and be aware of its existence, thoughts, and emotions, similar to human consciousness.

This type of AI is still in science fiction and is not yet achievable with current technology.