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Artificial Intelligence

Definition
Artificial intelligence (AI) is technology and a branch of computer science that studies and develops intelligent machines and software. It is often defined as "the study and design of intelligent agents", where an intelligent agent is a system that perceives its environment and takes actions that make the most of its chances of success.

Introduction

  • Intelligence is the ability to think, to imagine, creating, memorizing, and understanding, recognizing patterns, making choices, adapting to change and learn from experience.
  • Artificial intelligence is a human attempt to create a non-organic machine-based entity that has all the above abilities of normal organic intelligence.
  • It’s also the search for a way to map intelligence into mechanical hardware and enable a structure into that system to formalize thought.
  • It’s the ultimate challenge for an intelligence, to create an equal, another intelligent being.
  • It is the eventual form of art, where the artist's formation, not only inherits the impressions of his thoughts, but also his ability to think!
  • Deals with "right thinking" and dives into the field of logic. Uses logic to represent the world and relationships between substance in it and come to conclusions about it.
  • Turing defined as intelligent behaviour as the ability to achieve human-level performance in all cognitive tasks, sufficient to fool a human person.
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Classification

Artificial Intelligence is classified further into three major parts

  • Symbolic AI
  • Connectionist AI
  • Evolutionary AI

Symbolic AI

  • AI which have “knowledge” explicitly written into the AI’s coding.
  • Uses symbols, aka variables, to execute its work.

Strength

  • Working with logical problems.

Weakness

  • Working with imperfect data.

Connectionist AI

  • Designed to be a network of connected replicated neurons.
  • Similar to a natural mind.
  • “Taught” by a series of adjustments.

Strength

  • Working with imperfect data.

Weakness

  • Working with logical problems.

Evolutionary AI

  • Designed to be able to modify themselves.
  • The AI will frequently try to improve its efficiency by testing a modified version
    against an unmodified version.
  • Whichever has the best effectiveness is the one that is used from then on.

Real Time Examples

  • Gaming.
  • Speech Recognition.
  • Automatic Driving Bot.