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Specifying Constraint Problems:
However as with most successful "AI" techniques there constraint solving is all about solving problems as: somehow phrase the intelligent task you are interested in as a problem or then massage it into the format of a constraint satisfaction problem as CSP, put it through a constraint solver and see if you get a solution. Now here CSPs consist of the following parts as:
Furthermore in the high-IQ problem above, there are 25 variables: one for each of the 24 smaller square lengths or one for the length of the big square. In fact if we say that the smallest square is of length 1 so the big square is perhaps of length at most 1000. Thus the variables can each take values in the range 1 to 1000. Hence there are many constraints in this problem that including the fact that each length is different and that certain ones add up to give other lengths and for example the lengths of the three squares along the top must add up to the length of the big square.
Predicates - first-order logic: First and foremost in first-order logic sentences, because predicates. Hence the indications of that some things are related in some way. So af
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In a particular exchange during busy hour 1200 calls were offered to a group of trunks, during this time 6 calls were lost. The average call duration being 3 minutes Calculate Tr
What is a spanning Tree? A spanning tree is a tree associated with a network. All the nodes of the graph appear on the tree once. A minimum spanning tree is a spanning tree
Example of Prolog: We can say that this is also true if there are four even numbers. Now we have our first rule: • If there are three or four even numbered cards, such play
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