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The history of computer development
History of computer development
The history of computer development
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Computers and Strategic Games
We all know that computers can help a jumbo jet land safely in the worst of weather, aid astronauts in complex maneuvers in space, guide missiles accurately over vast stretches of land, and assist doctors and physicians in creating images of the interior of the human body. We are lucky and pleased that computers can perform these functions for us. But in doing them, computers show no intelligence, but merely carry out lengthy complex calculations while serving as our obedient helpers. Yet the question of whether computers can think, whether they are able to show any true intelligence has been a controversial one from the day humans first realized the full potential of computers. Exactly what intelligence is, how it comes about, and how we test for it have become issues central to computer science and, more specifically, to artificial intelligence. In searching for a domain in which to study these issues, many scientists have selected the field of strategic games. Strategic games require what is generally understood to a high level of intelligence, and through these games, researchers hope to measure the full potential of computers as thinking machines (Levy & Newborn 1).
From the beginning, some have argued that computers would never be good at strategic games until humans themselves understood how they themselves played and then modeled computers to play the same way. Most computer scientists felt that humans carried out highly selective searches, and programmers initially set out to have their programs do the same. It was believed that special-purpose computer languages in which gaming concepts could be easily expressed were necessary. There were some that argued that although human intuition could not be programmed, it was required for top-level play. Computers have improved gradually over the years from the point of barely making legal moves to the current state of being world-class players. On the surface, they do not seem to imitate the human thought process, but upon closer examination, one begins to sense that they do. How exactly do computers play strategic games? The best way of answering this question is to look at how computers play the game of chess, as this game in order to be mastered requires what we consider to be the highest level of intelligence. Among all the strategic games, the game of chess has been studied the most by AI researchers with the objective of making chess-playing machines that can defeat the best human players.
Smarter than You Think starts out with a cautionary tale of how in 1997 world chess champion Garry Kasparov was beaten by Deep Blue, an I.B.M. supercomputer. This was a considered a milestone in artificial intelligence. If a computer could easily defeat a chess champion, what would happen to the game and its players? A year after Kasparov was defeated by the program he decided to see what would happen when a computer and person were paired up. He called this collaboration the centaur; A hybrid consisting of the algorithms and history logs of chess as well as the brain to “analyze their opponents’ strengths and weaknesses, as well as their moods.” ...
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 ...
The ADN program is traditionally a two year program, and many do not require the chemistry, liberal arts, health assessment, health appraisal, amongst other requirements when compared to the BSN program.( McEwen, 2013) Also, the clinical hours required may be significantly less, which can result in a underprepared nurse due to the limited amount of exposure to the clinical setting. (Jacobs,1998) This is problematic due to the fact that nurses should be...
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.
Taylor, D. L. (2008). Should the entry into nursing practice be the baccalaureate degree?. Aorn Journal, 87(3), 611-620.
McEwen, M., Pullis, B. R., White, M. J., & Krawtz, S. (2013). Eighty Percent by 2020: The Present and Future of RN-to-BSN Education. The Journal of nursing education, 1-9.
The second key message focused on the recommendation that registered nurses receive greater levels of training and education. This message emphasized the need for nurses to enter the work force with a baccalaureate degree, or obtain it shortly afterwards. It also stressed the need more graduate nurses, specifically “nurse faculty and researchers at the doctoral level” (IOM, 2011, p. 164). Innovative solutions were devised to speak to nursing school capacity and curriculum in order to attain the IOM recommended goal of 80 percent of nurses holding a BSN by the year 2020.
There are various incentives and disincentives for practicing nurses to continue their formal education. Dr. Tanya Altmann, Sacramento State University Associate Professor, published a meta-analysis of ten studies of the concerns faced by diploma nurses (DN) and associates degree nurses (ADN) about pursuing a bachelor’s degree.
It is clear that by failing to require a baccalaureate degree for entry into nursing practice, the ANA has wreaked havoc on the unity, public perception, competency, and pride of nurses. Despite first proposing the requirement of a baccalaureate degree for nursing practice in 1965, the ANA has continually failed to deliver on that promise and thus has left the field fragmented (McEwen et al., 2013, p. 549). With new medical advances being discovered constantly, it is critical not only to patient outcomes but also to the credibility, progress, and evolution of nursing as a profession that the field unite in requiring a baccalaureate degree as the minimum standard for entry into nursing practice (Taylor, 2008, p.611).
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.
In order to see how artificial intelligence plays a role on today’s society, I believe it is important to dispel any misconceptions about what artificial intelligence is. Artificial intelligence has been defined many different ways, but the commonality between all of them is that artificial intelligence theory and development of computer systems that are able to perform tasks that would normally require a human intelligence such as decision making, visual recognition, or speech recognition. However, human intelligence is a very ambiguous term. I believe there are three main attributes an artificial intelligence system has that makes it representative of human intelligence (Source 1). The first is problem solving, the ability to look ahead several steps in the decision making process and being able to choose the best solution (Source 1). The second is the representation of knowledge (Source 1). While knowledge is usually gained through experience or education, intelligent agents could very well possibly have a different form of knowledge. Access to the internet, the la...
"Report: Integrated Industrial Waste Management Systems in China." Report: Integrated Industrial Waste Management Systems in China. N.p., n.d. Web. 03 Mar. 2014.
What is a nurse? Is a nurse a caregiver, a patient advocate, a professional? There certainly could be a place for the technical and professional nurse in today’s world, but they are not differentiated in the workplace. Hospitals have stopped hiring Licensed Practical Nurses altogether, and Registered Nurses with an Associates Degree in Nursing (ADN) are doing many of the same jobs as nurses with a Bachelors of Science Degree in Nursing (BSN) in the hospital and clinical setting. While the Registered Nurse with the higher level of education may have more opportunity for advancement, their roles are not clearly differentiated in everyday practice. It appears that ADNs and BSNs are being used interchangeably in the workplace due to the lack of availability of BSNs. It seems as though the pendulum has swung more toward the direction of ADNs being placed in management roles due to years experience, rather than level of education (Hess, 1996).
During the sixteenth century, the Globe Theater was a magnificent structure that housed the most famous plays. For a writer to have his work performed at the Globe was considered an incredible accomplishment. Shakespeare’s originality set him apart from others during his time and led him to the Globe Theater, where he came upon a tremendous amount of success. As with the rest of England, the Globe Theater flourished during the Elizabethan era, also known as the “Golden Age” representing ideals such as prestige, fame, and achievement. From this time period, notable politicians, orators, tacticians, and musicians evolved into more prominent figures of society. William Shakespeare has influenced the literary world today, although he lived many centuries ago. Much of Shakespeare’s life is unknown, but he developed his success in London, England where he became an actor and playwright. Through the Globe Theater Shakespeare was able to show some of his greatest works and make himself a household name. (William Shakespeare 1).
Through a robot body, one can utilize AI algorithms to portray individual thinking. The first general purpose robot is called Shakey. Developed at the Stanford Research Institute from 1966 to 1972, Shakey was the first robot to think in advance. For example, Shakey was able to understand a command such as turn off a light switch in a particular room. The robot would go through a corridor, find the room and then locate and turn off a light switch. Shakey could complete an action without the need of step-by-step instructions. The LISP software was used to program Shakey. The development of Shakey advanced AI concepts from the invention of the A search algorithm to the understanding of the full capabilities of robots. Shakey raised the public’s awareness of computer science and artificial intelligence in the 1970s. Shakey moved public thoughts to questioning what machines could and will do in the future. (Artificial Intelligence and Robotics , 2015) To further the public’s thoughts about machine intelligence is IBM’s Deep Blue Computer. Deep Blue won a chess competition against famous chess champion Garry Kasparov. Deep Blue’s win was one of the first real instances of the competition of humans versus