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Can a computer think like this
Can a computer think like this
True meaning of intelligence
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Are computers more intelligent than us?
Introduction The definition of intelligence is quite hard as there are many different aspects including it like emotional, social, logical, creative and practical. Intelligence can be described as the ability to perceive and retain information and apply it to all instances of knowledge, creating understandable modules of any size or complexity. This is also the skill that makes us humans so much different from all other living species on Earth. Due to this very general mental capability we can plan, solve problems, reason, think abstractly, think of complex ideas, learn quickly and learn from experience.
Artificial intelligence is the intelligence exhibited by machines or software. This is a major
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Instead of asking “Can machines think”, Turing said we should ask: “Can machines pass a behavior test for intelligence?” Turing stated the intelligent behavior of a computer as the ability to achieve the human-level performance in cognitive tasks. In other words, a computer passes the test if interrogators cannot distinguish the machine from a human on the basis of the answers to their questions.
The imitation game proposed by Turing originally included two phases. “In phase one, the interrogator, a man and a woman are each placed in separate rooms and can communicate only via a natural medium such as a remote terminal. The interrogator’s objective is to work out who is the man and who is the woman by questioning them. The rules of the game are that the man should attempt to deceive the interrogator that he is the woman, while the woman has to convince the interrogator that she is the woman. In the second phase of the game the man is replaced by a computer programmed to deceive the interrogator as the man did. It would even be programmed to make mistakes and provide fuzzy answers in the way a human would. If the computer can fool the interrogator as often as the man did, we may say this computer has passed the intelligent behavior test”. Turing believed that by the end of the 20th century it would be possible to program a digital
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After so many failed attempts to pass his game, finally the 65 year old Turing Test was passed for the very first time by the computer chatbot “Eugene Goostman”, developed by Amazon software developer Vladimir Veselov. The event was in 2014 and took place on the 60th anniversary of Turing’s death at the renowned Royal Society in London. As we already know Turing’s test measures a computer’s ability to exhibit behavior that is indistinguishable from that of a human. The chatbot passed the test by convincing more than 30 per cent of a group of human participants that it was a 13-year-old Ukrainian boy. The words Turing Test have been applied to similar competitions around the world. However this event included the most simultaneous comparison test than ever before, it was independently verified and the conversations were unrestricted. Therefore this was the first official pass of Alan Turing’s test (University of
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:
In the first three chapters of Kinds of Minds, Dennett introduces a variety of perspectives on what the mind is. From Cartesianism to Functionalism, Dennett outlines the evolution of thought about thought and the mind and explains his own perspective along the way. Cartesianism, as proposed by Descartes, proposes that the mind is who we are and characterizes the mind as a non physical substance that was completely separate from, and in control of, the physical body. In the strictest sense, Functionalism can be defined from Alan Turing’s perspective that a mind can be defined by what it can do. So from the Turing test, if an AI can fool a human into thinking it is also human, it must be at least as intelligent as the human. Using a plethora of anecdotes and examples, Dennett makes his position clear as he denounces Cartesianism and advocates for a functionalist based perspective in his own evolving definition of the mind.
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 ...
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.
One of the hottest topics that modern science has been focusing on for a long time is the field of artificial intelligence, the study of intelligence in machines or, according to Minsky, “the science of making machines do things that would require intelligence if done by men”.(qtd in Copeland 1). Artificial Intelligence has a lot of applications and is used in many areas. “We often don’t notice it but AI is all around us. It is present in computer games, in the cruise control in our cars and the servers that route our email.” (BBC 1). Different goals have been set for the science of Artificial Intelligence, but according to Whitby the most mentioned idea about the goal of AI is provided by the Turing Test. This test is also called the imitation game, since it is basically a game in which a computer imitates a conversating human. In an analysis of the Turing Test I will focus on its features, its historical background and the evaluation of its validity and importance.
Webster's Collegiate Dictionary defines intelligence as the capacity to apprehend facts and propositions, to reason about them, and the ability to understand them and their relations to each other. A. M. Turing had this definition in mind when he made his predictions and designed his test, commonly known as the Turing test. His test is, in principle, simple. A group of judges converse with different entities, some computers and some human, without knowledge of which is which. The job of the judges is to discern which entity is a computer. Judges may ask them any question they like, "Are you a computer?" excepted, and the participants may answer with anything they like, and in turn, ask questions of the judges. The concept of the test is not difficult, but creating an entity capable of passing the test with current technology is virtually impossible.
...at today is known as the Turing Test. This was a test where a person would ask questions from both a human and a machine without knowing which was which. If after a reasonable amount of time the difference between the two was not obvious, then the machine was thought to be somewhat intelligent. A version of this test is still used today by the Boston Museum of Computers to host a contest of the best artificial machines for the Loebner Prize.
In the 1940s and 1950s scientists began to discuss the possibility of creating an artificial brain. Research sped up after neurologists discovered that the brain is an electrical network of neurons. Then, in 1950, Alan Turing published a paper in which he discussed the possibility of creating machines that think. Since "thinking" is difficult to define, he created the “Turing Test.” The test stated that a machine could “think” if it was able to carry on a teleprinter conversation that was indistinguishable from a human
In Turing’s test, an isolated interrogator attempts to distinguish the identities between discreet human and computer subjects based upon their replies to a series of questions asked during the interrogation process. Questions are generally generated through the use of a keyboard and screen, thus communication can only be made through text-only channels. For example, a sample question would contain something along the lines of “What did you think about the weather this morning?” and adequate responses could include, “I do tend to like a nice foggy morning, as it adds a certain mystery” or rather “Not the best, expecting pirates to come out of the fog” or even “The weather is not nice at the moment, unless you like fog”. After a series of tests are performed, if the interrogator fails at identifying the subject more than 70 percent of the time, that subject is deemed intelligent. Simply put, the interrogator’s ability to declare the machine’s capability of intelligence directly correlates to the interrogator’s inability to distinguish between the two subjects.
The Turing test was a test introduced by Alan Turing (1912-1954) and it involves having a human in one room and an artificial intelligence, otherwise known as a computer, in another and as well as an observer. Turing himself suggested that as long as the observer is unaware whether it’s a human or a computer in either room the computer should be regarded as having human-level intelligence. (Nunez, 2016). But does the “human-level” intelligence mean it should be considered to be conscious? Is it more important to be clever or to be aware of being clever? Is it moral to create a conscious being that just serves our purposes? Aside from the moral implications there are technical implications and parameters
In order to work on cracking the code Alan’s sexuality must be hidden deep in the closet. Alan Turing’s homosexuality makes up a big part of who he is. Turing always felt uncomfortable around other men, because his old friend Christopher was the only one that filled his heart with love. From a social conflict perspective, we can see how the
Although the majority of people cannot imagine life without computers, they owe their gratitude toward an algorithm machine developed seventy to eighty years ago. Although the enormous size and primitive form of the object might appear completely unrelated to modern technology, its importance cannot be over-stated. Not only did the Turing Machine help the Allies win World War II, but it also laid the foundation for all computers that are in use today. The machine also helped its creator, Alan Turing, to design more advanced devices that still cause discussion and controversy today. The Turing Machine serves as a testament to the ingenuity of its creator, the potential of technology, and the glory of innovation.
The traditional notion that seeks to compare human minds, with all its intricacies and biochemical functions, to that of artificially programmed digital computers, is self-defeating and it should be discredited in dialogs regarding the theory of artificial intelligence. This traditional notion is akin to comparing, in crude terms, cars and aeroplanes or ice cream and cream cheese. Human mental states are caused by various behaviours of elements in the brain, and these behaviours in are adjudged by the biochemical composition of our brains, which are responsible for our thoughts and functions. When we discuss mental states of systems it is important to distinguish between human brains and that of any natural or artificial organisms which is said to have central processing systems (i.e. brains of chimpanzees, microchips etc.). Although various similarities may exist between those systems in terms of functions and behaviourism, the intrinsic intentionality within those systems differ extensively. Although it may not be possible to prove that whether or not mental states exist at all in systems other than our own, in this paper I will strive to present arguments that a machine that computes and responds to inputs does indeed have a state of mind, but one that does not necessarily result in a form of mentality. This paper will discuss how the states and intentionality of digital computers are different from the states of human brains and yet they are indeed states of a mind resulting from various functions in their central processing systems.
Intelligence by definition is “the ability to acquire and apply knowledge and skills” (Oxford Dictionary, 2014). However, many psychologists argue that there is no standard definition of ‘intelligence’, and there have been many different theories over time as psychologists try to find better ways to define this concept (Boundless 2013). While some believe in a single, general intelligence, others believe that intelligence involves multiple abilities and skills. Another largely debated concept is whether intelligence is genetically determined and fixed, or whether is it open to change, through learning and environmental influence. This is commonly known as the nature vs. nurture debate.
Artificial intelligence is a concept that has been around for many years. The ancient Greeks had tales of robots, and the Chinese and Egyptian engineers made automations. However, the idea of actually trying to create a machine to perform useful reasoning could have begun with Ramon Llull in 1300 CE. After this came Gottfried Leibniz with his Calculus ratiocinator who extended the idea of the calculating machine. It was made to execute operations on ideas rather than numbers. The study of mathematical logic brought the world to Alan Turing’s theory of computation. In that, Alan stated that a machine, by changing between symbols such as “0” and “1” would be able to imitate any possible act of mathematical