Based on which of the following parameter Artificial Intelligence is categorized?

Artificial Intelligence (AI) is typically categorized based on two primary parameters:

1. Functionality: This refers to the specific tasks that an AI system is capable of performing. For example, some AI systems are designed to play chess, while others are designed to recognize human speech.

2. Capability: This refers to the level of intelligence that an AI system possesses. For example, some AI systems are capable of only performing simple, repetitive tasks, while others are capable of learning and adapting to new situations.

Here's a more detailed breakdown:

1. Functionality:

   • Narrow AI: These are systems designed to perform a narrow task (e.g., facial recognition or internet searches) and can only operate under a limited set of constraints. They don't possess understanding or consciousness.
   • General AI: These are systems that possess the ability to perform any intellectual task that a human being can. They can understand, learn, adapt, and implement knowledge in a broad range of tasks.

2. Capability:

   • Reactive Machines: These are the most basic types of AI systems. They cannot form memories or use past experiences to inform current decisions.
   • Limited Memory: These AI systems can use past experiences to inform future decisions. They have the ability to learn from historical data.
   • Theory of Mind: This is a more advanced type of AI that has the ability to understand thoughts and emotions and can interact socially.
   • Self-Awareness: This is the highest level of AI, where the AI systems have their own consciousness and can understand their own state.

So, the categorization of AI can be based on its functionality (narrow or general) and its capability (reactive, limited memory, theory of mind, or self-awareness).