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The effect of artificial intelligence on modern video games
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Abstract: The number of video games involving human computer interaction have increased significantly. When a user interacts with a machine through an interface, a feedback is generated which is either displayed as output or stored for further processing. Decision making by machines can involve large number of computations and simulations so that the computer's move is beneficent to its own game. This paper provides definitions of major areas of Artificial Intelligence and Computational Intelligence in gaming. Chess is an example of such a high level application of artificial and computational intelligence. Chess engines evaluate current position of the chess board and decide which the next best move is. Various approaches towards computing …show more content…
The main hurdle in beating a human mind is the nature to take dynamic decisions, spontaneous creativity in the moment, the ability to change strategy of the game etc. All such cases can’t be hard-coded into a program or even a machine. Hence, it’s necessary that the machine must think too. This part where a computer starts thinking is known as Artificial Intelligence. The decisions taken by any machine depends on certain conditions and calculations, this term is coined as Computational Intelligence. As there are number of problems that have to be addressed, each of them requires a major sub-domain. The sub-domains of CI and AI used in games are listed as follows …show more content…
The game of such player is controlled by an artificial mind, i.e. a system configured to do so.
Search and Planning: It is an important area when it comes to games like chess and checkers. Various search algorithms are used to search for an appropriate move. Planning algorithms have to be designed in a way to minimize play time and also reduce the use of future resources.
Artificial Neural Network (ANN): For a machine to think like a human mind, one must design a human mind for it. ANN represent the working of the brain in social beings. A system that consists of ‘neurons’ connected to each other that can share messages and data is known as ANN. The connections are weighted that are tuned according to experience, hence adding the ability to learn and remember. ANN’s are used when number of inputs is considerably large and unknown most of the times.
Software Agents: Software agents are human representation in the computer world. This means that they act and take decisions on behalf of humans. They are further categorized as intelligent agents, autonomous agents, multi-agent systems, distributed agents and mobile
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.” ...
The game of Go is an ancient board game which until recently has resisted attempts to automate Go game playing moves by computer. This document will investigate the use of Artificial Intelligence to aid the construction of a Go playing program. Also, this document will examine the latest thinking in AI, applying where such thinking might aid a computer program to play Go. The history of Go Game programs will also be examined with a view to mining techniques that they employ.
Brown dirt covering your clothes, sweat beading on your arms as the blistering sun bears downs, and the signature smell of a cookout nearby. Chances are, that when you picture this description, there’s a baseball game going on. Now, if the setting changed and you were now in a silent room, tapping your finger on a desk with a puzzled look on your face, a baseball game doesn’t even cross your mind. That’s because this environment is ideal for chess! The classic game that’s objective is to see who can capture the other team’s game piece called the king. Even though the objectives and environments in baseball and chess appear to be polar opposites, both require a cunning ability to utilize a variety of similar strategies in order to succeed in winning.
Artificial Intelligence is a term not too widely used in today’s society. With today’s technology we haven’t found a way to enable someone to leave their physical body and let their mind survive within a computer. Could it be possible? Maybe someday, but for now it’s just in theory. The novel by William Gibson, Neuromancer, has touched greatly on the idea of artificial intelligence. He describes it as a world where many things are possible. By simply logging on the computer, it opens up a world we could never comprehend. The possibilities are endless in the world of William Gibson.
the game will be even more fun to play. This paper will discuss the importance
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.
The neurons in the network work together to solve specic problems. The network can be trained to do various tasks like pattern recognition, data classication,function approximation etc. ANNs are widely used in the elds of computer vision and speech recognition. 1.1.1 Architecture of an Articial Neural Network 1.1.2 Backpropagation Learning is the way we acquire knowledge about the world around us, and it is through this process of knowledge acquisition, that the environment alters our behavioural responses.
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.
Neural Networks A neural network also known as an artificial neural network provides a unique computing architecture whose potential has only begun to be tapped. They are used to address problems that are intractable or cumbersome with traditional methods. These new computing architectures are radically different from the computers that are widely used today. ANN's are massively parallel systems that rely on dense arrangements of interconnections and surprisingly simple processors (Cr95, Ga93).
In Clive Thompson’s essay “Smarter than you think,” he poses the question “Which is smarter at chess —computers or humans?” He does this by running tests of computer versus grandmaster players, then
Software agents include some level of “artificial intelligence” or decision-refinement algorithms that evolve a solution from a simple query and take action on the query. Current shopping bots are more akin to metasearch engines. They do not fulfill a request, but merely return information in response to a query. At present, shopping bots have not reached the point where they are software agents, but everyone expects shopping bots to evolve into personal software agents as the technology improves. Most already include algorithms that “learn” from prior queries in order to return more useful information.
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...
On the intellectual battlefield, in February 1996, thirty-two chess pieces, represented the most recent challenge to the belief that thought is exclusive to humans. Kasparov, the world chess champion, faced off against one of IBM's finest supercomputers, Deep Blue. Chess, a game of logic and reason, would be a perfect test of a computer's ability to "think." In the Information Age battle of David vs. Goliath, the machine clearly had the advantage. Deep Blue is capable of playing out 50- 100 billion positions in the three minutes allotted per turn. Nonetheless, the silicon brain was no match for the cunning intellect of the human mind. Deep Blue lacked the ability to anticipate the moves that Kasparov would make. In preparation for the game, Kasparov adapted a strategy of play unique to the computer.
Artificial neural networks are systems implemented on computer systems as specialized hardware or sophisticated software that loosely model the learning and remembering functions of the human brain. They are an attempt to simulate the multiple layers of processing elements in the brain, called neurons. These elements are implemented in such a way so that the layers can learn from prior experience and remember their outputs. In this way, the system can learn to recognize certain patterns and situations and apply these to certain priorities and output appropriate results. These types of neural networks can be used in many important situations such as priority in an emergency room, for financial assistance, and any type of pattern recognition such as handwritten or text-to-speech recognition.
...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).