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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:
For multi-national business IT system, free and open source software (FOSS) is recommended over a proprietary system. The reasons for this recommendation are: 1. Security I
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How branching takes place in Instruction pipeline. Explain with suitable examples.
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Explain displaying an er schema as an er diagram, Database Management System
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Assume |s1|=|s2|=n and consider the functions defined, for any s1 and s2, as: (a) G1(s1,s2)=s1 xor s2, (b) G2(s1,s2)=(s1, s2, s1 xor s2). We have that: A. G1 and G2 are pseudo-ra
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