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Alan Turing essay
Alan Turing essay
Alan turing can machines think
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In his essay, “Computing Machinery and Intelligence,” Alan Turing poses the question, “Can machines think?” (433). Throughout the essay, Turing refines the question into one that he believes can be experimented upon in the distant future. However, Turing seems to take the position that machines can, indeed, think depending on how one defines thought. Although he states that he “should begin with the definitions of the meaning of the terms ‘machine’ and ‘think,’” he never provides the reader with his definition of thought (433). Instead, he spends a lengthy amount of time refuting the many arguments that disagree with his viewpoint. If one actually took the time to define the act of thinking would they find that what Turing is implying, that …show more content…
Those who do not believe that machines have the ability to think would use the definition to claim that it is impossible for machines to have opinions, beliefs, or ideas about other things ignoring the latter part of the statement. The second half of the definition states that a human uses their mind to form thought implying that thought is the product of mental activity. Mental activity being the inner workings, or mechanical processes, that occur in the brain. The word “use” implies that one simply “uses” their brain to form thoughts just as they would “use” a machine to gather information. The fourth argument that Turing refutes comes from Professor Jefferson’s Lister Oration for 1949. Jefferson argues that in order for a thought to constitute as a thought it needs to come from consciousness. Consciousness is the state of being aware of one’s external surroundings or something within the self. Surprisingly, only a small fraction of a human’s thoughts passes through the conscious mind, most of the thinking happens subconsciously, or, in other words, without one being aware of the act. Consciously, we do not have the capacity to control every single one of our …show more content…
It provokes the reader to question whether the brain is, itself, a machine. In his essay, Turing utilizes many analogies and similes very much like the skin-of-an-onion analogy to support his viewpoint. These similes and analogies serve to enhance the idea that there is a likeness between the human brain and a machine. With this skin-of-an-onion analogy in mind, one could see that when stripped down to its inner workings, the brain is nothing but a machine with extremely intricate biomechanical processes. Thought is powered by neurons firing signals through the brain at lightening speeds. Emotions are the result of stimuli that cause our brain to release certain chemicals depending on the signals it receives from the nervous system. If we were somehow able to program machines to work in the same way as the brain, with the same chemicals that cause human emotions, we would have machines that are astonishingly similar to the human brain on our
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:
deep need to probe the mysterious space between human thoughts and what is a machine can
A major falling point of robots and machines when placed in a human’s position is that robots cannot improvise. Robots can only do what they are programmed to do. if Damasio is right, emotions are ‘improvised’ by the human brain even before someone is conscious of what they are feeling. Therefore it is even harder to make machines feel true emotions. An example of this exists in Ray Bradbury’s short story “August 2026.” A completely automated house survives after nuclear warfare has devastated the Earth. Cheerful voices go on announcing schedules and birth dates, the stove prepares steaming hot food right on time, and robotic mice keep the house spotless and free of dust- in eerie contrast to the barren and destroyed city surrounding it. The house lets nothing in, closing its shutters even to birds, but lets in a sick and famished stray dog, which limps into the house and dies. The robotic mice think nothing of the dead dog but a mess that needed cleaning up: “Delicately sensing decay at last, the regiments of mice hummed out as softly as blown gray leaves in an electrical wind. Two-fifteen. The dog was gone. In the cellar, the incinerator glowed suddenly and a whirl of sparks leaped up the chimney.” The house, seeming so cheerful, caring for its attendants, has no compassion or reverence for the dog. The mice were programmed to clean up messes, and nothing beyond. This is why in science
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.
Artificial Intelligence is a term not too widely used in today’s society. With today’s technology we haven’t found a way to enable someone to leave their physical body and let their mind survive within a computer. Could it be possible? Maybe someday, but for now it’s just in theory. The novel by William Gibson, Neuromancer, has touched greatly on the idea of artificial intelligence. He describes it as a world where many things are possible. By simply logging on the computer, it opens up a world we could never comprehend. The possibilities are endless in the world of William Gibson.
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.
If a machine passes the test, then it is clear that for many ordinary people it would be a sufficient reason to say that that is a thinking machine. And, in fact, since it is able to conversate with a human and to actually fool him and convince him that the machine is human, this would seem t...
The official foundations for "artificial intelligence" were set forth by A. M. Turing, in his 1950 paper "Computing Machinery and Intelligence" wherein he also coined the term and made predictions about the field. He claimed that by 1960, a computer would be able to formulate and prove complex mathematical theorems, write music and poetry, become world chess champion, and pass his test of artificial intelligences. In his test, a computer is required to carry on a compelling conversation with humans, fooling them into believing they are speaking with another human. All of his predictions require a computer to think and reason in the same manner as a human. Despite 50 years of effort, only the chess championship has come true. By refocusing artificial intelligence research to a more humanlike, cognitive model, the field will create machines that are truly intelligent, capable of meet Turing's goals. Currently, the only "intelligent" programs and computers are not really intelligent at all, but rather they are clever applications of different algorithms lacking expandability and versatility. The human intellect has only been used in limited ways in the artificial intelligence field, however it is the ideal model upon which to base research. Concentrating research on a more cognitive model will allow the artificial intelligence (AI) field to create more intelligent entities and ultimately, once appropriate hardware exists, a true AI.
Soon after his public schooling Turing began working on his undergraduate at King’s College. Here he became interested in the readings of Von Neumann’s quests into the logical foundations of quantum mechanics. Through these readings Turing was believed to structure his thinking from the emotional states that he had been suffering from to a more valid form of thought.
As Dorothy and the Scarecrow begin their search for a "brain," we can catch a glimpse of an issue that has been bouncing around our culture for centuries: can man make a machine think? While Baum's story does not focus on the Scarecrow as the possibility of a thinking machine, he does raise the question of whether a human brain is necessary for thinking. This question of the brainÕs vitality is first exposed to our culture with what many literary critics feel is the birth of Science Fiction, Mary Shelley's Frankenstein.
For years philosophers have enquired into the nature of the mind, and specifically the mysteries of intelligence and consciousness. (O’Brien 2017) One of these mysteries is how a material object, the brain, can produce thoughts and rational reasoning. The Computational Theory of Mind (CTM) was devised in response to this problem, and suggests that the brain is quite literally a computer, and that thinking is essentially computation. (BOOK) This idea was first theorised by philosopher Hilary Putnam, but was later developed by Jerry Fodor, and continues to be further investigated today as cognitive science, modern computers, and artificial intelligence continue to advance. [REF] Computer processing machines ‘think’ by recognising information
Alan Turing left an indelible mark on the world with technological inventions, extraordinary talent, and productive habits. His dedication to hard work and perseverance against the discouragement of bullying provide fantastic examples for anyone to emulate. Also, the inventions of the Turing Machine and the Bombe were the primary reasons why computers existed during the last sixty years, and were important factors in the demise of Nazi Germany. Finally, for one to truly understand why Turing was important in world history, he should envision life without modern technology and
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.
Well as I said we first must define ‘to think’. What does that mean? Webster’s New Compact Dictionary defines ‘think’ as "1. Have a mind. 2. Believe. 3. Employ the mind.". It defines mind as ‘to think’. So does this mean that if you can think does this mean you have a mind? My opinion is that, according to this definition, computers can think. A computer can give you an answer to the question ‘What is 4x13?’, so it can think. What’s that? You say it’s just programmed to do that, if no one programmed it wouldn’t be able to do that. Well how did you know how to answer the question? Your teacher or parent’s or someone taught it to you. So you were programmed, same as the computer was.
In addition, emotions can be only transmitted by the human brain and cannot be programmed into a computer. One of the reasons is there are too many emotions to be described and they can be a mixture of feelings that it would be hard to put it into one category. Furthermore, the computer wouldn’t have the ability to know to what situation he should apply certain emotion. And different emotions can be applied to the same situation; it all depends on the experiences in our past. Emotions are personal and are different for every person and it would have to be different for every computer.