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An expert system also represents knowledge symbolically as sets of symbols that stand for problem concepts. In AI jargon symbol is a string of characters that stands for some real world concept. To solve a problem an experts system manipulates these symbols rather than performing standard mathematical computations. This is not to say that expert systems don't do math rather the emphasis is on manipulating symbols. Also experts can take a problem stated in some arbitrary manner and convert it to a form that lends itself to a fast or efficient solution. This problem reformulation capability is something experts systems need to make their skill level closer to that of human experts.
What are the two ways for restricting the value range for a domain? By specifying fixed values. By stipulating a value table.
Define compilers and interpreters with high level language? Both compilers and interpreters are available for most high-level languages. Though LISP and BASIC are in particular
Address translation with dynamic partition : Given figure shows the address translation process with dynamic partitioning, where the processor provides hardware support for
They are of two types. They are big endian and little endian. Memory is separated into two bank, 1:even bank 2:odd bank.
Now let's define range which a normalised mantissa can signify. Let's presume that our present representations has normalised mantissa so left most bit can't be zero so it has to b
ERP usage in real world
What are the disadvantages of Linux? Learning Lack of comparable programs More technical skill required
a. What is the meaning of user interaction? What are the dissimilar styles in which forms of interaction can be classified? Give one advantage, disadvantage and an example of every
Difference between aggregation and association Aggregation is a particular form of association, not an independent concept. Aggregation acts semantic connotations. If two objec
What are the security aspects of SIP Visualizer
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