Artificial Intelligence

 Artificial Intelligence


WHAT IS  ARTIFICIAL INTELLIGENCE?

The intelligence demonstrated by machines is known as Artificial Intelligence. 

Artificial Intelligence has grown to be very popular in today’s world. It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans. These machines are able to learn with experience and perform human-like tasks. As technologies such as AI continue to grow, they will have a great impact on our quality of life.

Artificial Intelligence Definition

  • An intelligent entity created by humans.
  • Capable of performing tasks intelligently without being explicitly instructed.
  • Capable of thinking and acting rationally and humanely.

How do we measure if Artificial Intelligence is acting like a human?

Even if we reach that state where an AI can behave as a human does, how can we be sure it can continue to behave that way? We can base the human-likeness of an AI entity with the:

  • Turing Test
  • The Cognitive Modelling Approach
  • The Law of Thought Approach
  • The Rational Agent Approach

What are the Types of Artificial Intelligence? 


Not all types of AI all the above fields simultaneously. Different Artificial Intelligence entities are built for different purposes, and that’s how they vary. AI can be classified based on Type 1 and Type 2 (Based on functionalities). Here’s a brief introduction the first type.

3 Types of Artificial Intelligence

  • Artificial Narrow Intelligence (ANI)
  • Artificial General Intelligence (AGI)
  • Artificial Super Intelligence (ASI

What is the Turing Test in Artificial Intelligence?

The basis of the Turing Test is that the Artificial Intelligence entity should be able to hold a conversation with a human agent. The human agent ideally should not able to conclude that they are talking to an Artificial Intelligence. To achieve these ends, the AI needs to possess these qualities:

  • Natural Language Processing to communicate successfully.
  • Knowledge Representation to act as its memory.
  • Automated Reasoning to use the stored information to answer questions and draw new conclusions.
  • Machine Learning to detect patterns and adapt to new circumstances

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