![]() In fact, the really interesting part has to do with the similarities rather that with the differences. It’s normal that, in some cases, limits in the results between humans and robots are diffusive. Each mistake indicates that, those you thought were human answers, are actually the ones a machine would give. If so, don’t be afraid. What was your score? Are you a robot? 100 % correct means you’ve correctly identified all human answers. If you cannot see the test below, refresh the page. Why not check if you’re able to tell the difference between what a person would answer and what a robot would? For people, looking and saying what we see is an intuitive task, but this is a lot more difficult for machines. In this test, all the answers are correct, but depending on which you choose, the result will indicate a different way of recording and expressing visual information. Michael Barclay and his colleagues at the University of Exeter (UK) reasoned that a ‘simple’ visual description task could be used to evaluate the intelligence of a machine compared to human intelligence, and thus improve Turing Test. Alan Turing statue in the Bletchey Park (England). Everyday, millions of people use the ultimate version of the Turing Test, called Captcha, which is used to distinguish between humans and computers. But what if subject A is a machine? Turing’s hypothesis is that a computer can be called intelligent if it’s able to make someone believe that the machine is also human. To do this, the interrogator can ask them any questions, to which he/she will receive a written answer. ![]() The interrogator should find out who’s the man and who’s the woman. It involves three players, one man (A), one woman (B) and one interrogator (C) of any sex. To simplify this problem, Alan Mathison Turing proposed a game as an alternative. Answering this question requires something as hard as defining what a ‘machine’ is and what ‘thinking’ is. This article proposes the Game of Imitation (now called ‘ Turing Test’ in allusion to its creator, who devised it in 1950). ‘I ask you to consider the question “can machines think?”’ This is how one of the most well-known scientific articles on Artificial Intelligence begins.
0 Comments
Leave a Reply. |