Analysis Of Alan Turing 's ' Can Machines Think?

Human beings not only have the ability to think but also have imitation that can help them to think comprehensively. Other species may have the ability to think but they do not have the ability to think about things in different ways. Blackmore mentions “we use the word learning for simple association or classical conditioning (which almost all animals can do), for learning by trial and error or operant conditioning (which many animals can do) and for learning by imitation (which almost none can do). ”(34). The imitation is the ability for people to think in different and more comprehensive ways. When people think, they can not only think in their own way but also think by other’s ways. This ability makes human beings unique because if they can think in different ways they can get more information, which can help them make the decision. Human beings’ thinking also has the peculiarity, which is hard be imitated. Blackmore points out “Computers may not play chess in the same way as humans, but their success show how wrong we can be about intelligence”(32). Human thinking is hard to copy because it is a very comprehensive process. It is hard to copy even though for the AI, which made by human beings. The computers do not have the ability to imitate, thus the computer may be able to get the win in the chess game, but they can never get the ability and skill about

Turing doesn’t respond directly to each premises of this argument, instead he responds to its conclusion that machines are not conscious. To begin with, Turing follows the consciousness objection’s line of thought and states that the only possible method to know if a machine can think or not is to literally become that machine. Similarly, the only possible method to know if a person can think or not is to literally be that person. According to Turing, these statements represent the perspective of solipsism, the

Alan Turing is a rare figure amongst the many historical worthies of post-war Britain. He would, at first, seem an unlikely candidate to become a popular icon. He worked within a comparatively novel and arcane scientific field, the central concepts of which are still only fully understood by specialists. It was one which emerged from mostly from his own high-level theoretical reasoning and debating the earlier work of the similarly obscure Kurt Gödel upon whether mathematical processes could truly solve any definable problem. 1 His life did not contain that many spectacular events, rather slow, grand, specific achievements that often seemed purely academic at the time. Many of these were not even publically known until after his death, due

When the human emerges, their perceptions enable the brain to function automatically, by coding their obtained information. Hence, after birth infants instantaneously enter the endless cycle of learning. Despite being born a human, what truly makes us superior is our ability to learn, and function within society, after viewing Alex Garland’s Ex Machina, the film confirms that artificial intelligence (AI), can obtain knowledge, learn from it, and act like humans. On a side note, Alex Turing, developer of the Turing Test: a test that analyzes people who are virtually detecting if they are talking to machines or humans; he once wrote: “If a machine behaves as intelligently as a human being, then it is as intelligent as a human being” (Crevier

In Minds, Brains, and Programs, John Searle provided various counterarguments to the proposition that strong artificial intelligence is similar to human cognition and that machines are able to have similar cognitive experiences as humans, such as having intentions, as long as it has the right program. The purpose of this article was to demonstrate opposing approaches, which outlined that the theory of strong AI is flawed. The author did this by providing examples of how to disqualify the support for the theoretical perspective that machines, even though they have the appropriate programming, still cannot understand as humans do. Through various explanations and replies to the arguments, Searle makes his point and give examples of the promises.

Alan Turing is a rare figure amongst the many historical worthies of post-war Britain. He would, at first, seem an unlikely candidate to become a popular, globally recognised icon. He worked within a comparatively novel and arcane scientific field, the central concepts of which are still only fully understood by specialists. It was one which emerged from mostly from his own high-level theoretical reasoning and debating the earlier work of (the similarly obscure) Kurt Gödel upon whether mathematical processes could truly solve any definable problem. 1

“Thinking” has become so casual in our everyday lives that we sometimes take it for granted and never really think about the process of “thinking”. What does it mean to “think”? What qualities do one need to meet to be considered “capable of thinking”? Being a human involves thinking and thinking involves experiences and emotions. In his paper, Turing questions these traits and brings in new theories to support his statement that machines are capable of thinking, using his imitation game as an example. I would have to disagree with these views and further disagree with the idea that the imitation game can be used to prove a machine’s intelligence.

The date was May 7th, 1945 when Germany officially surrendered to the Allied Powers to end the Second World War, and while this victory was accredited to the military convergence of powerful Allied nations and leaders, one important contributor was overlooked: Alan Turing.

This does give rise to the different objections against the Turing test one of them being the fact that machines can never think because “ [only] a real thought can generate original ideas and behavior, [thus], a digital computer can never possess real thoughts (Morton 318-319). Similarly, another objection which Turing states as the Lady Love lace objection states that “analytical engine has no pretensions to originate anything. It can do whatever we know how to order it to do (Morton 340-341).” However, Turing, based on this statement argues that it could be possible for a machine to think if it is set to learn; therefore, making it probable in its behavior and

Turing began by proposing the question, “Can machines think?” (Turing 433). However, instead of answering this question directly, he remade the problem into the form of a test, one that he called, “the imitation game” (Turing 433). Turing’s game was “played with three people, a man (A), a woman (B), and an interrogator (C) who may be of either sex” where A pretends to be B and B pretends to be A in individual conversations with C (Turing 433). Then, as a substitute for the original question, Turing suggests that we ask, “What will happen when a

Turing is well known for it's publication of Computing machinery and intelligence which includes it's test on whether or not computers could think. In order to prove computers intelligence, Turing elaborated a test which consisted on having two people having a conversation with another person and a machine without seeing them; they were expected to see if the humans could make difference between the computers and the real person. If the other person didn't notice, that would've consequently meant that the test had worked and that computers could think in a smart way. As said by the British Mathematician, he believed that computers could highly surprise humans.

Can a computer have a mind? This question has been debated for decades by philosophers, mathematicians, physicists' etc. Alan Turing, a mathematician, he first addressed the issue of artificial intelligence in his 1950 paper, "Computing machinery and intelligence," and proposed an experiment known as the “Turing Test”—an effort to create an intelligence design standard for the tech industry. He also said, “if we cannot distinguish between the answers a computer gives to questions and the answers a human gives, then the computer has a mind” ,but I stand at a different view. I believe that computers are not conscious in the same way a human mind is conscious. To come to such a conclusion, as to whether or not computers are conscious the same way as a human mind, what we need to understand first is what exactly it means to be "conscious”. To be conscious means that one is aware of their existence, possesses feelings and has thoughts of their own.

Kevin: Hello, Dr. Ayala, Dr. Ruiz, and Mr. Skep Ticks. Welcome to “The Future of AI,” and it is my understanding that each of you are proponents to different concepts. Dr. Ayala, you’re a strong proponent of connectionism, while Dr. Ruiz is a strong supporter of symbol manipulation. Mr. Skep Ticks is a skeptic of the aforementioned concepts and believes that AIs cannot be intelligent. Intelligence, he believes, can only be simulated by systems but not created. Having all of you seated in front of me brings about the unique opportunity to ask if either of you believe that a machine can achieve intelligence.

“Can a machine think?” Is a long lived question humans have had? If a machine can think then it must have the same intelligence as a human, then right? If a machine has human intelligence, then does that mean it has a mind of its own? It is desired by many humans to know if one day the answers to all these questions could be yes. In hopes of figuring this out, a testing method was created called the Turing Test. This test was created by an English mathematician named Alan Turing in the 1940s and 1950s. Alan Turing was interested in the idea of artificial intelligence, or the theory of computers being able perform tasks like humans. In result of introducing this theory, Turing developed a testing method called the Turing Test. This would answer the question “Can computers think?” The Turing Test consist of three subjects. Two of these subjects are humans and the other is a computer system. One human is the questioner who is required to ask the other two subjects a series of questions. By the responses of the other two subjects, the questioner has to determine which subject is the computer, and which one is the human. In order to receive accurate results, the test is repeated many times. If the computer system is believed to be the human subject by the questioner, then the computer system is confirmed to have artificial intelligence. However, questioning must be in a specific style for accurate test results. Computer systems have an advantage over humans in certain

Alan Turing was a famous British mathematician and computer scientist who was determined to prove that machines at some point (possibly sometime in the future) would be able to surpass humans in intelligence levels. In order to prove this true, he created what became to be known as, “The Turing Test.” This test was basically to see if a computer could trick a person into believing that it was human. It would be asked a series of questions, which would be compared to responses of the human. It was designed so that one could judge the intelligence level of the computers’ responses. Turing believed that if a human could not tell the difference between another human and a computer, then it served as proof that a computer is equally intelligent as a human. Due to a large