Artificial Intelligence

site-verification: cc51c1ff924ae12069855754e3a010b3

 

Artificial intelligence is intelligence that is added to a system that can be arranged in a scientific context or can also be called artificial intelligence or simply abbreviated AI, defined as intelligence of scientific entities. Andreas Kaplan and Michael Haenlein define artificial intelligence as "the ability of the system to interpret external data correctly, to learn from that data, and to use that learning to achieve certain goals and tasks through flexible adaptation". [1] Such systems are generally considered computers. Intelligence is created and incorporated into a machine (computer) so that it can do work like humans can. Some types of fields that use artificial intelligence include expert systems, computer games (games), fuzzy logic, artificial neural networks and robotics.

Many things that seem difficult for human intelligence, but for Informatics are relatively problematic. For example: transforming equations, solving integral equations, making chess or Backgammon. On the other hand, things which for humans seem to demand a little intelligence, are still difficult to realize in Informatics until now. For example: Introduction to Objects / Advance, playing soccer.

Although AI has a strong connotation of science fiction, AI forms a very important branch in computer science, dealing with intelligent behavior, learning and adaptation in a machine. Research in AI involves making machines and computer programs to automate tasks that require intelligent behavior. Examples include controlling, planning and scheduling, the ability to answer diagnoses and customer questions, and handwriting, voice and face recognition. Things like that have become their own scientific disciplines, which focus on providing solutions to real life problems. AI systems are now often used in economics, science, medicine, engineering and the military, as they have been built in several home computer software applications and video games.

This artificial intelligence not only wants to understand what an intelligence system is, but also constructs it.

There is no satisfactory definition for 'intelligence':

intelligence: the ability to gain knowledge and use it

or intelligence which is what is measured by an 'Intelligence Test'

The ways in which information can be represented

Using the right methods for presenting specific messages can improve recipients’ understanding and help you persuade and motivate. Here some examples to deliver information :

Electronic

Because of its convenience and the fact that it seems to be everywhere, with people having 24/7 access, email has become a default delivery system for information.

Print

If you’d like people to hold your message in their hands and have easy access to refer to it later, consider brochures, fliers, ads, catalogs, reports, memos or letters.

Face-to-Face

Face-to-face meetings let you get more personal, evaluate the body language of your peers, demonstrate products and use visual aids.

 

Turing test

The Turing test, developed by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation is a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel such as a computer keyboard and screen so the result would not depend on the machine's ability to render words as speech. If the evaluator cannot reliably tell the machine from the human, the machine is said to have passed the test. The test results do not depend on the machine's ability to give correct answers to questions, only how closely its answers resemble those a human would give.