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History and development of computers
History and development of computers
History of artificial intelligence Essay
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Subjective Intelligence The human aspiration to create intelligent machines has appeared in myth and literature for thousands of years, from stories of Pygmalion to the tales of the Jewish Golem. After thousands of years of fantasy, the appearance of the digital computer, with its native, human-like ability to process symbols, made it seem that the myth of man-made intelligence could become reality. However, when will we know when we have reached that critical point when a machine becomes a mind? What is it that distinguishes real intelligence from the mere processing of symbols and interpretation of stimuli? When is intelligence achieved? To answer these questions one needs a concrete definition of intelligence in order to formulate the criteria necessary to evaluate the intellectual capability of machines and men. Webster’s dictionary defines intelligence as, “The ability to learn and understand.”[1] This is a very broad definition and allows for as much interpretation as the concept we are trying to define. Furthermore, this definition fails to account for the full range of cognition that the human brain is capable of. Webster’s definition does not account for the critical aspects of emotion, free will and personality. A second definition given by the Encarta encyclopedia is the “general mental capability to reason, solve problems, think abstractly, learn and understand new material and profit from past experience.”[2] All of these are traits of the human mind. Therefore it would follow that if a machine does not possess one of these human characteristics it cannot be considered intelligent. Furthermore, it necessitates that an intelligent machine must be human-like. If this is so, a machine could then be described with the same qualifying words we use to describe a human. Is a machine then bright, smart, stupid or clever? If we define intelligence as ““a likeness to the human mind,”” the human characteristics that Webster failed to capture in its definition, are encompassed in a separate humanistic definition of intelligence. However, where Webster and Encarta are too broad, the humanistic definition may be too tight. It is commonly agreed that humans are all intelligent beings, however it does not necessarily follow that humans are the only intelligent beings. Therefore by defining intelligence in such a way one could be ruling out different forms of intelligence that are intelligent by nature, but then not by definition.
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.
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.
Intelligence tests have been developed by scientists as a tool to categorize army recruits or analyze school children. But still discussing what intelligence is, academics have a difficult time defining what intelligence tests should measure. According to the American researcher Thorndike, intelligence is only that what intelligence tests claim it is (Comer, Gould, & Furnham, 2013). Thus, depending on what is being researched in the test and depending on the scientist’s definition of intelligence the meaning of the word intelligence may vary a lot. This essay will discuss what intelligence is in order to be able to understand the intelligence theories and aims of intelligence tests.
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...
Soldiers sown from dragon teeth, golden robots built by Hephaestus, and three-legged tables that could move under their own power - the Greeks were the first to cross the divide between machine and human. Although the history of Artificial Intelligence (AI) began with these myths and speculations, it is becoming a part of everyday life. How did it evolve so quickly, and what are its implications for the future?
Since intelligence is usually judged in IQ tests or just tests in school, many individuals are claimed to have average or little intelligence. They struggle in school, trying to learn math, English, reading; but they may excel in other places like sports, music, or relationships. This is where Howard Gardner’s Multiple Intelligences comes into play. He proposed that there are eight forms of intelligence, possibly more. The two that are seen in school often are Logical-Mathematical and Linguistic-Verbal. The people who excel at these are seen as geniuses and are thought to do very well in life. The others that don’t do well in those two may be better at one of the other six.
David and John Free. (26 Nov 2006). MadSci Network: Chemistry. Retrieved on March 6, 2011, from http://www.madsci.org/posts/archives/2007-02/1171045656.Ch.r.html
Haynes, William M.., and David R. Lide. CRC handbook of chemistry and physics a ready-reference book of chemical and physical data : 2012-2013. 93e édition. ed. Boca Raton (Fla.): CRC Press, 2012. Print.
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.
Klingspohn, U., J. Bader, B. Kruse, P. Vijai Kishore, K. Schügerl, H.-A. Kracke-Helm, and Z. Likidis.
Gardner’s Theory of Multiple Intelligence focuses more on how numerical expressions of human intelligence are not a full and accurate depiction of people’s abilities (McFarlane, 2011). He includes and describes eight intelligences that are based on skills and abilities that are valued within different cultures. The eight intelligences include visual-spatial (e.g. sailor navigating with no navigational systems), verbal-linguistic (e.g. poets, writers, orators, and communicators), bodily-kinesthetic (e.g. dancers, athletes, surgeons, craftspeople), logical-mathematical (e.g. mathematicians and logicians), interpersonal(e.g. salespeople, teachers, clinicians, politicians, and religious leaders), musical (e.g. musicians and
From the first imaginative thought to manipulate nature to the development of complex astronomical concepts of space exploration, man continues to this day to innovate and invent products or methods that improve and enhance humankind. Though it has taken 150 million years to reach the present day, the intellectual journey was not gradual in a linear sense. If one were to plot significant events occurring throughout human existence, Mankind’s ability to construct new ideas follows a logarithmic path, and is rapidly approaching an asymptote, or technological singularity. This singularity event has scientists both supporting and rejecting the concept of an imaginative plateau; the largest topic discussed is Artificial Intelligence (A.I.). When this technological singularity is reached, it is hypothesized that man’s greatest creation, an artificial sapient being, will supersede human brain capacity.
In considering the definitions and implications of Artificial Intelligence, many philosophers have reached extremely different conclusions. Alan Turing, author of the Turing Test, believed that an intelligent machine would be able to imitate perfectly a human. Margaret Boden, Professor of Philosophy and Psychology at the University of Sussex, contends that a machine is intelligent if it possesses and displays certain human values. Moving away from the pure...
The thermoelectric effect refers to phenomena by which either a temperature difference creates an electric potential or an electric potential creates a temperature difference. Conversion between electrical and thermal energy is possible because of two important thermoelectric effects: Seebeck effect (converting temperature to current) and Peltier effect (converting current to temperature). Direct conversion of thermal and electric energy means that the thermoelectric devices are often more reliable than traditional mechanic devices and suffer less wear. Thermoelectric devices have a much lower efficiency than traditions devices. While all materials have a nonzero thermoelectric effect, in most materials it is too small to be useful. However, low-cost materials that have a sufficiently strong thermoelectric effect (other required properties) could be used in application including power generation and
H. Young, & R. Geller, Sears & Zemansky's College Physics, 8th ed., (Pearson Education Inc., San Francisco, 2007), pp. 422-426, 428, 430-431.