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
1. AAAI Hall of Champions, Matthew L. Ginsberg,
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
6. "Debbi One: Challenging the Extremes of Computation", George Kaplan
7. Interplay's Earth 2140 Website
8. "Ultima Online", Cindy Yans Computer Games Strategy Plus July 1997 Pages 44 - 49
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.
By Herman, Leonard, Horwitz, Jer, Kent, Steve, and Miller, Skyler .”the ultimate history of games”.2002.web.Gamespot.
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
One of the very first video games to have been developed was a simple graphical computer application used to resemble virtual Tic-Tac-Toe (Bellis). Although the game was simple in nature and basic in control, it was one of the first few innovative designs that would eventually lead to establishment of other well known video games (Bellis).... ... middle of paper ... ...
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.” ...
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...
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.
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
When most people think of artificial intelligence they might think of a scene from I, Robot or from 2001: A Space Odyssey. They might think of robots that highly resemble humans start a revolution against humanity and suddenly, because of man’s creation, man is no longer the pinnacle of earth’s hierarchy of creatures. For this reason, it might scare people when I say that we already utilize artificial intelligence in every day society. While it might not be robots fighting to win their freedom to live, or a defense system that decides humanity is the greatest threat to the world, artificial intelligence already plays a big role in how business is conducted today.
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).
The approach to artificial intelligence should be proceeded with caution. Throughout recent years and even decades before, it has been a technological dream to produce artificial intelligence. From movies, pop culture, and recent technological advancements, there is an obsession with robotics and their ability to perform actions that require human intelligence. Artificial intelligence has become a real and approachable realization today, but should be approached with care and diligence. Humans can create advanced artificial intelligence but should not because of the harm they may cause, the monumental advancement needed in the technology, and that its harm outweighs its benefits.
The robot revolution has begun! The eradication of the human race by the cold, cunning, and calculating autonomous army of artificial intelligence is imminent and unstoppable… or is it? While our world is becoming increasingly dependant on new technologies, artificial intelligence is steadily progressing its importance in business, creativity, and labor efficiency. To understand the growing role of artificial intelligence, it is important to understand where it began and where it is headed.
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).
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