Game Playing and Artificial Intelligence
Abstract
Since the inception of the field of Artificial Intelligence (AI), game playing has had a key role. Likewise, AI has been an integral part of modern computer games. This collaboration of academic and commercial research and development into AI has yielded vast amounts of crossover technology. Academic research problems have become or influenced commercial games and the money gained from the commercial applications of AI have helped advance academic research as well. Highly publicized man-machine tournaments, such as between Gary Kasparov and IBM's Deep Blue have served to showcase the current state of the art in Artificial Intelligence agents. The technology from these game players is finding its way into many other software fields, such as medical databases.
Introduction
Not long ago, at the mention of Artificial Intelligence (AI) the first thing most people thought of was the science fiction image of computers capable of independent thought and possessing a human-like personality such as HAL from the movie 2001. It is not unusual now to see commercial computer games advertised and reviewed based on their AI capabilities. The strategic war game EARTH 2140 for example is advertised as containing "excellent strategic and economic AI". Where once AI was solely a matter of fiction and research, it has effectively made its way into the consumer market in the form of computer games. While AI artifacts have not yet reached the level of HAL, computers and their games have advanced substantially from the days of punch cards and Pong.
The early uses of Artificial Intelligence in game playing were not the highly graphical, user friendly, mass marketed computer games seen today. The e...
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...hat the game required "robot-like planning abilities,"2 not deep search. The tools used to solve problems in AI will continue to evolve via game playing as long as there are new games to play and new computers on which to play them.
Bibliography
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2. "Smart games: beyond the Deep Blue horizon" Sara Hedberg IEEE Expert July/August 1997
3. "Deep Blue Wins 3.5 to 2.5: Kasparov vs. Deep Blue the rematch" IM Malcolm Pein, London Chess Centre May 11, 1997
4. "Classic Games and AI - What's Been "Solved"", Steven Woodcock
5. "Deep Blue's Hardware - Software Synergy" Scott Hamilton and Lee Garber Computer October 1997
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8. "Ultima Online", Cindy Yans Computer Games Strategy Plus July 1997 Pages 44 - 49
It is necessary to look at the development of artificial intelligence in order to put this idea into context. The concept of intelligent and aware constructs began to emerge in the 1950s and 60s as several scientists in many fields came together to discuss the possibilities of advanced computer research. The first major step was a scientific conference at Dartmouth College in 1956. Here, the general concepts and possible paths of research for a.i. were fleshed out. As described in Artificial Intelligence: A Modern Approach, this conference was “the birth of artificial intelligence.” This was mostly a theoretical stage yet attending experts predicted that with a huge investment, working technology could be available in a generation (16). After being officially established, a.i. research and discovery exploded. Computer programs, a brand new idea, were already conquering algebra problems and speech recognition. Some could even reproduce English (18). It was clear that artificial intelligence research was going to be at the fo...
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
Kent, S. (2001). The Ultimate History of Video Games. New York City, New York: Three Rivers Press.
Who’s smarter at chess - computers or humans? Chess is all about ultimate way of thinking, which puts it on a same level as an extreme sport.In the eighteenth century, Wolfgang von Kempelen caused a stir with his clockwork Mechanical Turk—an automaton that played an eerily good game of chess, even beating Napoleon Bonaparte.CLIVE THOMPSON is a freelance journalist and blogger who writes for the New York Times Magazine and Wired.He blogs at collisiondetection.net. This essay is adapted from his book, Smarter Than You Think: How Technology Is Changing Our Minds for the Better (2013). A writer for Scientific American fretted that the inventor "Would Substitute Machinery for the Human Mind." Eighty years later, in 1997, this intellectual
ames have been played before we began to record time. Almost 50 years ago, games changed into a new form. Magnavox Odyssey can be debated to be the first game console. Throughout 50 years ago and now, video games have become essential to every living room and a pastime to every young child. Companies have risen from this new industry, to produce games to young investors and dominate the game world. With new technology, graphics, and software: gaming franchises run mostly by public support. Each decade that passes, games are changed by America’s public these games change based on how the public perceives them.
From self-driving cars to increasingly “smart” gadgets and virtual reality, technology has now become an integral part of humans’ lives. As individuals become more dependent on it, the rate of innovation has a further “legitimate” reason to rise. Currently, the field of Artificial Intelligence (AI) has been on an increasing trend. Simply put, Artificial Intelligence serves to mimic and to even surpass the capabilities of a human brain. Just recently, an AI developed by Google DeepMind has managed to defeat Lee Sedol, a world champion of the Go game. Due to the countless number of possibilities of the game, this was once a task that was previously deemed impossible to solve by brute force alone (Burgess). This may not seem important to the public; however, it is crucial to note that Artificial Intelligence has now shown explicit signs of surpassing humans. If this trend of technology continues unguided, how can someone ensure that there will not be an AI that will transform into a destructive being like Victor’s
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.
A very famous example of such a project is the Deep Blue. Deep Blue was the machine who beat Garry Kasparov at chess. It is one of the cornerstones of the advances that have happened in the field of Artificial Intelligence.
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.
By Herman, Leonard, Horwitz, Jer, Kent, Steve, and Miller, Skyler .”the ultimate history of games”.2002.web.Gamespot.
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).
Crevier, D. (1999). AI: The tumultuous history of the search for Artificial Intelligence. Basic Books: New York.
Shyam Sankar, named by CNN as one of the world’s top ten leading speakers, says the key to AI evolvement is the improvement of human-computer symbiosis. Sankar believes humans should be more heavily relied upon in AI and technological evolvement. Sankar’s theory is just one of the many that will encompass the future innovations of AI. The next phase and future of AI is that scientists now want to utilize both human and machine strengths to create a super intelligent thing. From what history has taught us, the unimaginable is possible with determination. Just over fifty years ago, AI was implemented through robots completing a series of demands. Then it progressed to the point that AI can be integrated into society, seen through interactive interfaces like Google Maps or the Siri App. Today, humans have taught machines to effectively take on human jobs, and tasks that have created a more efficient world. The future of AI is up to the creativity and innovation of current society’s scientists, leaders, thinkers, professors, students and
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).