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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:
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QUESTION 1 Discuss the advantages and disadvantages of printed indexes. QUESTION 2 (i) The Library of Congress Subject Headings List and the Sears Subject Headings List
Process States Throughout the lifespan of a process, its execution position may be in one of four states: (linked with each state is generally a queue on which the process resides)
requirement analysis and specification for online voting
A string S is said to be "Super ASCII", if it contains the character frequency equal to their ascii values. String will contain only lower case alphabets (''''''''a''''''''-'''''''
How to convert 25.5 into binary
Problem 1. Convert the following number system 12.34 (8) to binary number system 23BC.0A (16) to decimal number system 456.012 (16) to Octal number system 123
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