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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.
Explain about the Flash memories These are re-writable non-volatile memories evolved from EEPROM; they are generally connected to the USB port on the computer enabling a user t
What is the advantages for Linux? Runs on old Hardware Low-Cost Linux is fully customizable in all its components Powerful Linux runs on low-end, cheap hardware
Q. How can you insert text in dreamweaver? In Dreamweaver, you can type content directly into a layout cell, or you can cut and paste content from another document into a layou
Q. MICRO-PROGRAMMED CONTROL? A substitute to a hardwired control unit is a micro-programmed control unit in which logic of the control unit is specified by a micro-program. A m
Can you list out some of enhancements in Verilog 2001? In earlier version of Verilog, we use 'or' to specify more than one element in sensitivity list. In Veri
Minimisation using Boolean algebra is not always straight forward and sometimes it is not obvious if a further manipulation would give a simpler circuit. Karnaugh maps are a muc
Explain how presentation layer helps in establishing and processing data in End to End layers. The idea of the presentation layer is to stand for information to the communicati
in asingle function declaration what is maximum no of statements that may be recursive calls
Graphs are represented using Adjacency linked list
Parallelism based on Grain size Grain size : Grain size/ Granularity are a measure that defines how much computation is involved in a process. Grain size is concluded by count
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