Wait a second!
More handpicked essays just for you.
More handpicked essays just for you.
Essays on the turing test
Essays on the turing test
Don’t take our word for it - see why 10 million students trust us with their essay needs.
Recommended: Essays on the turing test
1. Why is Turing’s ‘test’ a test for intelligence, such that a machine (or anything else) that passed the test should be classified as thinking? a. The Turing Test determines whether or not a machine can think. b. The Turing Test is a behavioral test that exams the ability to communicate and formulate reason. c. The interrogator can ask any question and the computer can give any answer. d. If the answerer does not respond with a plausible answer than it can be determined that it is not thinking. e. Lots of things cannot generate a correct response. f. Therefore, if the machine does generate a correct response it can be deemed thinking. 2. What is the ‘Argument from Informality’? a. The ‘Argument from Informality’ is a claim that asserts …show more content…
Humans are not regulated with guidelines the way computers are. g. Therefore, machines are not humans. h. There are no laws of behavior that regulate human life. i. Human behavior is impossible to predict because there are no laws. j. Computers have these laws and are able to be predicted. k. Computers cannot be intelligent if they can be predicted. 3. How does the Argument from Informality respond to Turing’s test? In particular, does it object to the adequacy of the test, and/or to his claim that a computing machine could pass it? a. Computers have a set of rules in which they follow. b. The computer is not programmed to answer the interrogator. c. Therefore, the computer will not show the skill to answer the interrogator’s questions. d. It would take a massive amount of programming for a computer to be able to answer the questioner’s range of communicative questions. e. A computer is unable to store enough data to answer a wide range of questions by the questioner. f. Therefore, it is not true that a machine could pass Turing’s test. 4. What is Turing’s response to the Argument from Informality? a. Turing’s response to the Argument of Informality is that a computer does not have the ability to respond to a behavioral
Andy Clark strongly argues for the theory that computers have the potential for being intelligent beings in his work “Mindware: Meat Machines.” The support Clark uses to defend his claims states the similar comparison of humans and machines using an array of symbols to perform functions. The main argument of his work can be interpreted as follows:
John Searle’s Chinese room argument from his work “Minds, Brains, and Programs” was a thought experiment against the premises of strong Artificial Intelligence (AI). The premises of conclude that something is of the strong AI nature if it can understand and it can explain how human understanding works. I will argue that the Chinese room argument successfully disproves the conclusion of strong AI, however, it does not provide an explanation of what understanding is which becomes problematic when creating a distinction between humans and machines.
This world of artificial intelligence has the power to produce many questions and theories because we don’t understand something that isn’t possible. “How smart’s an AI, Case? Depends. Some aren’t much smarter than dogs. Pets. Cost a fortune anyway. The real smart ones are as smart as the Turing heat is willing to let ‘em get.” (Page 95) This shows that an artificial intelligence can be programmed to only do certain ...
At some point in our lives, we have wondered about the possibility of a computer being able to think. John Searle addresses this issue in his paper, “Can Computers Think?”, where he argues that computers cannot think because they are directed by formal information. This means that the information presented is only syntax with no semantics behind it. In this paper, I will elaborate more on Searle’s position and reasoning whilst critiquing his argument by saying that it is possible to derive semantics from syntax. Finally, I will analyze the significance of my criticism and present a possible response from Searle to defend his argument.
In this paper I will evaluate and present A.M. Turing’s test for machine intelligence and describe how the test works. I will explain how the Turing test is a good way to answer if machines can think. I will also discuss Objection (4) the argument from Consciousness and Objection (6) Lady Lovelace’s Objection and how Turing responded to both of the objections. And lastly, I will give my opinion on about the Turing test and if the test is a good way to answer if a machine can think.
Theodore sees Samantha as an intelligent being and treats her as such throughout the film, and even when people question his decision to date an A.I. he is never swayed that she is in fact alive. Theordore attributes intelligence to his A.I. because she can hold a conversation with him in the way a human woman would in the beginning of a relationship. We never really see the two of them in a professional way, the overly delightful nature in which she is programmed makes her treat Theodore as a friend, and vice versa. Through her virutal actions and subsequent dialogue we see Samantha as humanlike, despite the continuous reminders of her being digital. Samantha passes the Turing Test because she convinces us that she too is conscious through one of the oldest forms of humanistic expression, love. Because Samantha can love and express through words that she does love, she gains a bit of noteriety as an emotional being, even if it is only
...ing Test and scientists of AI have different opinions about it. However there are some facts of which we can be sure of. The Turing Test was invented by a great scientist, it has had a long and rich history of 55 years and has played an important role in the science of Artificial Intelligence.
Turing tested if a computer was able to communicate with a human being and to see if it was indistinguishable from a human being. For example, if a machine was hidden behind a wall or could not be seen and developed a conversation with a human being in which the human did not recognize that he/she was talking to a machine, it would pass the Turning Test. As Descartes looked at parrots that can speak or even monkeys that are taught sign language would not be able to pass the turning test. The parrot’s or gorilla’s vocabulary and grammar skills would not be proficient to pass the Turning
Like many artists and scientists, Alan Turing was not well known during his lifetime. Until after his death in 1952, his actions were known to very few of the general public. Much of Turing’s childhood was spent away from his parents as his father worked in the British administration of India. He was sent to the Sherborne School, a boarding school in England, at the age of 13. The strict schooling at Sherborne was detrimental to his scientific mind and he received little encouragement to follow his passions. While at Sherborne, Turing became attracted to another student, Christopher Morcom. After meeting Morcom, Turing saw more academic success and become more social. Unfortunately, Christopher Morcom died suddenly of Tuberculosis. Turing was devastated.
Whether or not computers will be conscious or spiritual in the future, the fact remains that they are increasingly able to accomplish tasks which were thought only achievable by humans, such as playing chess, or even reading printed text aloud to assist the blind. Stanford computer scientist John McCarthy believes that the only reason computers cannot do some tasks as well as humans is that we do not have an actual understanding of how we solve the problems ourselves. He writes that, “whenever people do better than computers on some task or computers use a lot of computation to do as well as people, this demonstrates that the program designers lack understanding of the intellectual mechanisms required to do the task efficiently” (McCarthy 2004). This lack of understanding of underlying mechanisms is apparent in the situation when experts in a field cannot fully explain how they accomplish a complex task, such as playing the saxophone or swinging a golf club, which they may only fully understand on a subconscious level.
Many people constantly ask what is the new and best technology but who is the one to make the final decision. Consumers are demanding for more but wanting less at the same time. “Companies are downsizing because technology now does a job that a person once did”(Oren, 2004). But is it appropriate to say that a human can be replaced by a computer? I believe that not all humans will be replaced by a computer, but I do think that a computer will be able to do many of the same things that a human can already do. John R. Searle and Alan Turing are two philosophers that I will be relating to in order to examine the likelihood of a computer being able to “think” or not “think” and I will look into how a computer and a human have more in common than what “humans” actually think. Also, with the help of the IBM computer, Watson, I will explain why I think that computers will be able to “think”.
Alan Turing was a dedicated mathematician who devoted his lives works to developing computer knowledge, as we know it today. Alan was born in London, England on June 23, 1912. Alan soon began to attend a local school and his interest in the science fields arose. His teachers an others would try and make him concentrate on other fields such as History an English but his craving for knowledge of mathematics drove him the opposite way. Turing’s prosperous career in math started at King's College, Cambridge University in 1931. After graduation Alan moved on to Princeton University and that is where he explored his idea of a multi propose computer that used one’s and zero’s to describe the steps that needed to be done to solve a particular problem. His machine was later named the “Turning Machine”, which would read each of the steps and perform them in sequence, resulting in the proper answer. Turing had a vision of a computer that could do more than just a few tasks. Turing believed that an algorithm, which is a procedure for solving a mathematical problem in a finite number of steps that frequently involves repetition of an operation, or a step-by-step procedure for solving a problem or accomplishing an answer used by a computer. The hard part was finding what the little steps were a how to break down the larger problems.
I.B.M’s Watson, a highly intelligent computer was able to defeat very smart people in a game of Jeopardy!.According to John Markoff, a Journalist, “Watson, specifically, is a “question answering machine” of a type that artificial intelligence
Comparing, ordering, remembering, storing, duplicating, choosing, These are all actions that require some thought process. Computers can do all these things, and while comparing a 1 against a 2 may not seem like a big deal, it does require a thought process. The computer must know the value of what is comparing, then use judgment to decide which one is bigger, and which one is smaller. And computers can do much more than compare two numbers. They can compare letters, words, phrases, and more.
In the 1930’s, Alan Turing (1912 – 1952), an English mathematician, studied an abstracts machine called Turing machine even before computers existed!