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

Artificial Intelligence is typically categorized based on two key 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 learning and improving their performance over time, while others are not.

Here's a more detailed breakdown:

1. Functionality:

   • Reactive Machines: These are the most basic types of AI systems, which are solely reactive and do not have the ability to form memories or use past experiences to inform current decisions.
   • Limited Memory: These AI systems can use past experiences to inform future decisions. Most of the AI applications we see today, from chatbots to self-driving cars, fall into this category.
   • Theory of Mind: This is a more advanced type of AI that has the ability to understand thoughts and emotions, and can interact socially. Currently, this type of AI exists only in theory and research, and has not been fully developed yet.
   • Self-Aware: This is the most advanced type of AI, which has a sense of self and consciousness. Like Theory of Mind, this type of AI also exists only in theory and research.

2. Capability:

   • Narrow AI: Also known as Weak AI, this type of AI is designed to perform a narrow task, such as voice recognition. It operates under a limited set of constraints.
   • General AI: Also known as Strong AI, this type of AI can perform any intellectual task that a human being can do. It can understand, learn, adapt, and implement knowledge from different domains.
   • Superintelligent AI: This refers to an AI that surpasses human intelligence in virtually all economically valuable work. This type of AI does not yet exist.