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Propositional truth tables:
There {X\t} is a substitution that replaces all occurances of variable X with a term representing an object t as:
By repeating this for all the quantifiers than we get a set of ground formulae in which we have to check that if the original sentence is true or false. But unfortunately, we don't have specified there that our domain Δ is finite - like in example we see that it may contain the natural numbers - but there may be a infinite number of sentences to check for a given model! So there may be also be an infinite number of models. And although we have a proper definition of model hence a proper semantics for first-order logic and we can't rely on having a finite number of models like we did where drawing propositional truth tables.
Full Resolution Rule - Artificial intelligence: Now that we know about unification, we can correctly describe the complete edition of resolution: p1 ∨ ... ∨ pj ∨ ... ∨ p
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mechanics of structured analysis
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SHOW THAT AVERAGE NUMBER OF UNIT IN A (M/M/1) QUELING SYTEM IS EQUAL TO P/(1-p). NOTE:P=ROW
Find out the two inputs when the NAND gate output will be low. Ans. The output of NAND gate will be low if the two inputs are 11. The Truth Table of NAND gate is shown
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