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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.
Raises when accessing an unassigned memory location accessing a null pointer
Multi-Layer Network Architectures - Artificial intelligence: Perceptrons have restricted scope in the type of concepts they may learn - they may just learn linearly separable f
How to detect overflow condition An overflow condition can be notice by observing the carry into the sign bit position and the carry out of sign bit position. If this carries a
One of the fault base testing techniques is:- Mutation testing is the fault base testing.
how ant solve TSP
Take a look at the code and try to understand the logic, particularly, the way scrambled words are disambiguated, i.e.., whether they are matched successfully against a correct wor
What is the benefit of MITRE''s evolutionary approach to KM?
What is asynchronous DRAM? In asynchronous DRAM, the timing of the memory device is controlled asynchronously. A specialized memory controller circuit gives the essential contr
SPMD is actually a "high level" programming model that can be built upon any combination of the previously mentioned parallel programming models. A single program is executed by al
L e arning Decision Trees Using ID3 Sp eci f y i n g the Problem We now have to look at how you mentally created your decision tree when deciding what to do at
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