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Many persons are taught AI with the opening line: "The three most important things in AI are representation, representation and representation ". While selecting the method of representing knowledge in AI programs will always be a key concern, many process now have well-chosen ways to represent data which have been shown to be useful about that technique. Along the way, much searches has been undertaken into discovering the convenient ways to represent certain catagory of knowledge. The way in which knowledge can be showen is often taken as another way to characterize Artificial Intelligence. Some basic representation processs include:
Some standard AI programming languages have been created in order to make intelligent programs robustly and with good efficiency. These are like:
See that other languages are used extensively to built AI programs, like:
1.7 Application AreasPersonal systems usually drive AI research much more than the large term aim explained above. Much of AI literature is collected into application areas, some of which are like following:
Binary Codes: We have seen earlier that digital computers use signals that have two distinct values and there exists a direct analogy between binary signals and binary digits.
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Knowledge of the Environment We must distinguish between knowledge an agent receives through it's sensors and knowledge about the world from which the input comes. Knowledge a
Two dimensional Arrays: A two-dimensional array is like a table, with a defined number of rows, where each row has a defined number of columns. In some instances we need to hav
Because it is enormously low level, assembly language can be optimized enormously well. Therefore assembly language is used where the extreme performance is needed for applications
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Communications Programs : By communications programs, we mean those programs which allow a computer to communicate via a transmission cable to another electronic device. Here we d
Using Weka 3.6 (basketball or cloud data set). Using the EM clustering method, how many clusters did the algorithm decide to make? If we change from "Use Training Set" to "Percenta
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