The Turing test developed by Alan Turing(Computer scientist) in 1950. He proposed that “Turing test is used to determine whether or not computer(machine) can think intelligently like human”?
Imagine a game of three players having two humans and one computer, an interrogator(as human) is isolated from other two players. The interrogator job is to try and figure out which one is human and which one is computer by asking questions from both of them. To make the things harder computer is trying to make the interrogator guess wrongly. In other words computer would try to indistinguishable from human as much as possible.
The “standard interpretation” of the Turing Test, in which player C, the interrogator, is given the task of trying to determine which player – A or B – is a computer and which is a human. The interrogator is limited to using the responses to written questions to make the determination
The conversation between interrogator and computer would be like this:
C(Interrogator): Are you a computer?
C: Multiply one large number to another, 158745887 * 56755647
A: After a long pause, an incorrect answer!
C: Add 5478012, 4563145
A: (Pause about 20 second and then give as answer)10041157
If interrogator wouldn’t be able to distinguish the answers provided by both human and computer then the computer passes the test and machine(computer) is considered as intelligent as human. In other words, a computer would be considered intelligent if it’s conversation couldn’t be easily distinguished from a human’s. The whole conversation would be limited to a text-only channel such as a computer keyboard and screen.
He also proposed that by the year 2000 a computer “would be able to play the imitation game so well that an average interrogator will not have more than a 70-percent chance of making the right identification (machine or human) after five minutes of questioning.” No computer has come close to this standard.
But in year 1980, Mr. John searle proposed the “Chinese room argument“. He argued that Turing test could not be used to determine “whether or not a machine is considered as intelligent like humans”. He argued that any machine like ELIZA and PARRY could easily pass Turing Test simply by manipulating symbols of which they had no understanding. Without understanding, they could not be described as “thinking” in the same sense people do. We will discuss more about this in next article.
In 1990, The Newyork business man Hugh Loebner announce to reward $100,000 prize for the first computer program to pass the test. however no AI program has so far come close to passing an undiluted Turing Test
This article is contributed by Shubham Bansal. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to email@example.com. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Attention reader! Don’t stop learning now. Get hold of all the important CS Theory concepts for SDE interviews with the CS Theory Course at a student-friendly price and become industry ready.
- Difference Between Artificial Intelligence and Business Intelligence
- Artificial Intelligence | An Introduction
- Chinese Room Argument in Artificial Intelligence
- Top 5 best Programming Languages for Artificial Intelligence field
- Introduction to Hill Climbing | Artificial Intelligence
- Agents in Artificial Intelligence
- Difference between Machine learning and Artificial Intelligence
- Machine Learning and Artificial Intelligence
- Artificial Intelligence Permeation and Application
- Impacts of Artificial Intelligence in everyday life
- Game Playing in Artificial Intelligence
- Artificial intelligence vs Machine Learning vs Deep Learning
- Significance Of Artificial Intelligence in Cyber Security
- Learning to learn Artificial Intelligence | An overview of Meta-Learning
- The role of Artificial Intelligence in Internet of Things
- Applied Artificial Intelligence in Estonia : A global springboard for startups
- What is AI(Artificial Intelligence)?
- Artificial Intelligence: Cause Of Unemployment
- How Big Data Artificial Intelligence is Changing the Face of Traditional Big Data?
- 8 Best Topics for Research and Thesis in Artificial Intelligence