Artificial Intelligence Assignment Help, Homework Help, Computer Science Tutorial

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Artificial Intelligence (AI):

Artificial Intelligence, or AI, is the ability of a computer to behave like a human being. It has many applications, by including software simulations and robotics. Though, artificial intelligence is most commonly utilized in video games, where the computer is made to behave as another player.

Closely all video games include some level of artificial intelligence. The most fundamental type of AI generates characters that move in standard formations and carry out predictable actions. More advanced artificial intelligence enables computer characters to behave unpredictably and make different decisions depend on a player's actions. For instance, in a first-person shooter (FPS), an AI opponent may hide behind a wall whereas the player is facing him. Whereas the player turns away, the AI opponent might attack. In modern video games, multiple AI opponents can even work together, making the game play more challenging.

Artificial intelligence is used in a wide range of video games, by including board games, side-scrollers, and 3D action games. AI also plays a big role in sports games, such like, soccer, football and basketball games. As the competition is only as good as the computer's artificial intelligence, the AI is a critical aspect of a game's playability. Games that lack a dynamic and sophisticated AI are easy to beat and therefore are less fun to play. If the artificial intelligence is too good, a game may be impossible to beat, which would be disappointing for players. Therefore, video game developers frequently spend a long time creating the perfect balance of artificial intelligence to make the games fun and challenging both to play. Mostly games also include different complexity levels, such as Easy, Medium, and Hard, which let players to select an appropriate level of artificial intelligence to play against.

Applications of AI:

Game playing:

You can purchase machines that can play master level chess for a few hundred dollars. There is some Artificial intelligence in them, but they play well against people primarily through brute force computation--looking at hundreds of thousands of positions. In order to beat a world champion by brute force and known reliable heuristics requires being able to look at 200 million positions per second.

Speech recognition:

In the year of 1990s, computer speech recognition attained a practical level for restricted purposes. Therefore United Airlines has replaced its keyboard tree for flight information by a system using speech recognition of flight numbers and city names. It is fairly convenient. Alternatively, whereas it is possible to instruct some computers by using speech, most users have gone back to the keyboard and the mouse as still more suitable.

Understanding natural language:

Just getting a sequence of words to a computer is not sufficient. Parsing sentences is not enough either. The computer ought to be provided with an understanding of the domain the text is about, and this is currently possible only for very restricted domains.

Computer vision:

The world is formed of three-dimensional objects; however the inputs to the human eye and computers' TV cameras are two dimensional. Some useful programs can solely work in two dimensions, but full computer vision needs partial three-dimensional information that is not only a set of two-dimensional views. Presently there are only restricted ways of representing three-dimensional information directly, and they are not as well as what humans evidently use.

Expert systems:

A "knowledge engineer'' interviews experts in a definite domain and tries to embody their knowledge in a computer program for carrying out some task. How well this works based on whether the intellectual mechanisms needed for the task are in the present state of AI. Whereas this turned out not to be so, there were various disappointing results. One of the primary expert systems was MYCIN in the year of1974, which diagnosed bacterial infections of the suggested and blood treatments. It did better than medical students or practicing doctors, provided its restriction was observed. Namely, its ontology included symptoms, bacteria and treatments and did not include patients, hospitals, death, doctors, recovery, and events occurring in time. Its interactions based on a single patient being considered. As the experts consulted through the knowledge engineers knew regarding, doctors, death, patient’s recovery, etc., this is clear that the knowledge engineers forced what the experts told them into a predetermined framework. In the current state of AI, this has to be true. The usefulness of present expert systems depends on their users having common sense.

Heuristic classification:

One of the most feasible types of expert system given the present knowledge of AI is to put some information in one of a fixed set of categories by using various sources of information. An instance is advising whether to accept a proposed credit card purchase. Information is obtainable regarding the owner of the credit card, his record of payment and also regarding the item he is buying and regarding the establishment from which he is buying it.

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