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Assessing Heuristic Searches:
Given a particular problem you want to build an agent to solve, so there may be more than one way of justifying it as a search problem, more than one choice for the search strategy and altered possibilities for heuristic measures. For a large extent, it is very tough to predict what the best choices will be, so then it will needs some experimentation to determine them. In some such cases, - If we calculate the effective branching rate, as given below to described - we can tell for sure if one heuristic measure is always being out-performed by another.
a. It improves quality by providing consistent advice and by making reduction in the error rate. b. Expert systems are reliable and they do not overlook relevant info
design a dfa which accept all the string over a and b ending with ab or ba
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