Most people think that computers are smarter than their creators (human beings), whereas others believe differently. Some believe that by using the latest technology of multicore processors which are able to perform exponentially large calculations within a blink of eye, these computers of 21st century possess unparalleled processing power and are thus difficult to be outperformed in the highly thoughtful game of chess by mere humans. On the other hand, there are also some who still have utter faith in the unimaginable power of human brain. After giving me necessary directions for moving forward in my quest to find the limits of a human’s brain against that of the supercomputer’s CPU(the central processing unit), my high school’s chess teacher, …show more content…
It gives us insight into the ups and downs of the deep Blue team on its way to finally defeating Gary Kasparov. It also includes appendices that completely record Deep Blue's matches. This book, a technological milestone, is not just a triumph, but a rare, pivotal watershed. The book offers a detailed account of IBM's Deep Blue chess program, the people who created it, and its historic battles with World Chess Champion Garry Kasparov. It establishes the point in history when mankind's exciting new tool, the computer, came of age and competed with its human creators in the ultimate intellectual competition: a game of chess. The text examines the progress made by the creators of Deep Blue, beginning with the1989 two-game match against Kasparov. This book gave me very crucial information on how diligently the humans struggled to create such a master piece, the Deep Blue, which was ultimately able to defeat even the great grandmaster Gary …show more content…
Because Deep Blue had no track record as a chess player, Kasparov could not prepare for this match as he has for other matches by studying his opponent's previously played games. Levinson and his coworkers at the University of California, Santa Cruz developed a computer program, called Morph that learned to play chess starting only with a list of legal moves. That a computer which relies largely on speedily checking the consequences of billions of possible moves could come so close to matching the human capabilities required to play the game at its highest level was a striking achievement for the team that designed, built, and programmed Deep
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.” ...
In the essay "Toward An Intelligence Beyond Man’s" by Robert Jastrow, the author showed his view on computer intelligence and predicted that computer intelligence will be a new kind of evolution. Jastrow stateed that computer nowadays is as intelligent as human brain; they can communicate with human, learn from experience, and raise logical questions. The more complex the computer, the better they imitate human. He predicted that computer will as important as life in future years. Then, Jastrow used the example of Arthur Samuel and IBM computer to show computers can learn faster through motivation, even they do not have emotions and drives as human do. He also points out that computer and human brain share some characteristics; they both freeze out when handle too many tasks, and they outclass fast decisions under a crisis. Jastrow said even human still have the control power, computers learn much faster than humans’ intelligence. Then, in an ultimate situation, computers and human w ill become partners; they completely depends on each other to survive. However, Jastrow thought this partnership will not stay long; as computer will become more and more clever , but human evolution of intelligence is almost finished. He suggested that computer will be the new kind of intelligence which surpass human, as a new evolution of life. He said the history had proved it takes a million year for human evolution. It took less time , compare to a billion years of evolution from worm to human. By the incredibly fast rate of technology improvement, Jastrow thought computer will evolve in a much shorter period of time.
I find, however, that Clark’s conclusion is false, and that the following considerations provide a convincing argument for the premises leading to this conclusion, starting with premise one: “the brain is constructed like a computer, since both contain parts which enable them to function.” This statement is plausible, yet questionable. Yes, the mind contains tissue, veins, and nerves etc. which enable it to function, the same way that a computer contains wires, chips, and gigabytes etc. which it needs to function. However, can it be possible to compare the two when humans devised these parts and the computer itself so that it can function? If both “machines”, as Clark believes, were constructed by the same being this comparison might be more credible. Clark might argue that humans were made just as computers were made so therefore it could be appropriate to categorize them together. I feel that this response would fail because it is uncertain where exactly humans were made and how, unless one relies on faith, whereas computers are constructed by humans in warehouses or factories.
deep need to probe the mysterious space between human thoughts and what is a machine can
Once Deep Blue supercomputer defeated chess grandmaster Kasparov, he, Kasparov, thought what would happen if “humans and computers collaborated” (Thompson 343)? Kasparov figured that it would be a symbiotic relationship in which “each might benefit from the other’s peculiar powers” (Thompson344). A Notably example would a 2005 “freestyle” chess tournament, which consisted of teams with computers and chess players. With a tournament full of computers and chess grandmasters, the winners were amateur chess players Cramton and Zackary (Thompson345). The reason why these players were able to win is because they were “expert[s] at collaborating with computers.” By themselves these players would not have the skills to take on such talented players, but since Cramton and Zackary were able to know “when to rely on human smarts and when to rely on the machine’s advice” they were able to succeed (Thompson 345). These players were able to harness the power of the symbiotic relationship between man and machine. In conclusion, when it comes down to the wire on “who’s smarter-humans or machines; the answer is neither, it’s both working side by side” (Thompson 347). In addition, the benefits of these digital gadgets can be summarized into three
These projects come to live in the Research division at IBM. In 2005 Paul Horn, director of the division wanted to try to create a machine able to pass the Turing Test. No machine had done it. But researchers didn’t believe that it would get the public’s attention in the way that Deep Blue had. Horn thought of another game where it would...
The concept for robotic soccer originated in 1994 at an AI conference when professor of computer science at University of British Columbia, Alan Mackworth, presented a team of motorized miniature Porsches with computer chips that chased a ball around, trying to knock it into a goal. The motorized cars were equipped with only a vision system and some basic programming, but much to the excitement of the crowd of European and Japanese spectators, they were completely independent of any human control. Mackworth had originally come up with the idea only a few years earlier, after learning of MIT and IBM’s joint project to build Deep Blue, the most advanced chess-playing computer program that became better than any human player after beating grandmaster Kasparov in a best out of five game match. Mackworth realized how simple it was to construct a computer that could outwit a human opponent at chess, commenting that, “chess computers sit in a room and stare at a board. I thought AI should raise the bar.” (Preville, National Post)
"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." Anat Treister-Goren, Ph.D. (http://www.a-i.com/)
Strong Artificial Intelligence occurs ultimately when qualities that are accredited to the human brain are demonstrated by machines.
Studies show that over time, the game of chess can truly be helpful not only in the game, but also in the workforce and educational objectives. For example, doctors and psychologists show that over time, one might improve not only their mood and logical skills, but also in one’s educational and developmental skills at a young age. In fact, if one person starts playing chess and their reading levels are below average, over a period of time learning the game of chess, someone could actually increase both their math and reading levels dramatically through the powerful gains of the game itself. In addition, people who have developmental disorders and other conditions such as autism, ADHD, dyslexia, dysgraphia can also benefit from playing the game of chess. Chess is more than just a simple board game; it has been shown to have several educational benefits that might help you improve your IQ score, math and reading scores, and more.
The position that computers are intelligent is supported by three points: refusing to say that computers are intelligent is prejudice towards computers, being intelligent does not mean that one must be knowledgable in all fields; being intelligent in a single area also proves to display intelligence, and there is no single qualification for intelligence; intelligence is measure...
Most of the day the human mind is taking in information, analyzing it, storing it accordingly, and recalling past knowledge to solve problems logically. This is similar to the life of any computer. Humans gain information through the senses. Computers gain similar information through a video camera, a microphone, a touch pad or screen, and it is even possible for computers to analyze scent and chemicals. Humans also gain information through books, other people, and even computers, all of which computers can access through software, interfacing, and modems. For the past year speech recognition software products have become mainstream(Lyons,176). All of the ways that humans gain information are mimicked by computers. Humans then proceed to analyze and store the information accordingly. This is a computer's main function in today's society. Humans then take all of this information and solve problems logically. This is where things get complex. There are expert systems that can solve complex problems that humans train their whole lives for. In 1997, IBM's Deep Blue defeated the world champion in a game of chess(Karlgaard, p43). Expert systems design buildings, configure airplanes, and diagnose breathing problems. NASA's Deep Space One probe left with software that lets the probe diagnose problems and fix itself(Lyons).
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...
It is a type of artificial intelligence program that imitated the analytical skills and understanding of human experts. By 1985, the artificial intelligence market had come up to one billion dollars; moreover, around the same time, Japan’s fifth generation computer project motivated the British and American government to bring back funding for artificial intelligence. Unfortunately, the artificial intelligence market fell back into disrepute which started with the fall of the Lisp Machine market. Additionally, this was a much longer “AI winter”. Soon, in the late 1900s and in the beginning of the 21st century, artificial intelligence was starting to be utilized for data mining, medical diagnosis, and in other areas as well as logistics. All this success was because of the increasing computational power, new relationships between other fields and artificial intelligence, higher significance on answering specific issues, and a commitment by researchers to scientific standards as well as mathematical methods. For example, on May 11th, 1997, Deep Blue (an IBM computer) was the first computer that played chess and it beat the ruling world chess champion at that time, Garry Kasparov. This was the beginning of an amazing discovery, artificial intelligence. Faster computers, able to obtain huge amounts of information, and statistical and advanced methods allowed progress in perception and machine learning. By the midyear of 2010, machine learning programs were utilized in the entire world. For example, Watson (IBM’s question answering system) beat Ken Jennings and Brad Rutter, the two greatest champions of Jeopardy, in a Jeopardy exhibition match by huge amounts. Another example is of the Kinect. It gives a 3D body-motion interface for the Xbox One and the Xbox 360 using algorithms that surfaced from long artificial research. Soon, 2015 came. According to
...on, adaptation, and planning for the future. The computer is unable to win because it cannot think like a human, and that is why we humans are smarter than computers to this day (The Daily Galaxy 1-3).