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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 is linear bounded automation? A linear bounded automation is restricted type of Turing machine where in the tape head isn't permitted to move off the portion of the tape
REPRESENTATION OF POYNOMIAL OF 2 OR MORE VARIABLES USING ARRAY
Q. Create an input buffer ? CODE SEGMENT ... MOV AH, 0AH ; Move 04 to AH register MOV DX, BUFF ; BUFF must be defined in data
What is the purpose of DOTNET? Dot Net Is a collection of products like C#, ASp.Net, Vb.Net, XML. The purpose of .Net is that we can simply upgrade and degrade our programs whi
Functionality under load can be tested by running various Vusers concurrently. By enhancing the amount of Vusers, we can verify how much load the server can sustain.
Microprocessor is a program-controlled device, which fetches the instructions from memory, decodes and implements the instructions. Most Micro Processor is single- chip devices.
How to increase simulation speed First figure out what is eating away your CPU cycles. Is it 1. Compile time - Use a Make file to compile only files with changes and not
How to parse n size depth node in java and create output in same tree format?
Introduction Our research methodology requires gathering relevant data from the specified documents in order to analyze the material and arrive at more complete understanding
OLAP can process difficult queries and give the output in less than 0.1 seconds, for it to achieve like performance OLAP uses aggregations. Aggregations are built by aggregating an
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