[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Exam specimen questions..



Folks

 You may want to note that Qn 11 on the homework, i.e., the one at http://rakaposhi.eas.asu.edu/cse471/hw2-f06-qn3-4.pdf
is directly from a previous midterm. So it gives you an idea of how the exam questions will look like

Also, I might ask True/False *with explanation* short answer questions such as the ones below:

For each of the following statements below, indicate whether the
statement is true or false, and give a brief but precise justification
for your answer. Correct answers *with correct justifications* will
carry 2points. No points will be awarded for answers without correct
justifications.

Example qn: The time and memory requirements of IDA* can be improved
by using A* algorithm to do search in individual iterations.  

Answer: False. Because A* in the worst case can take as much memory as
breadth-first, and thus using A* in the individual iterations will
make IDA* require exponential memory (instead of linear memory).


A. A* search does b^(d/2) node expansions when searching a unifrom tree
of branching factor b and depth d, using a perfect heuristic.


B. Consider a uniform search tree of depth d and branching factor b,
where there are many goal nodes, all of which are uniformly
distributed at the leaf level d.  Assuming that memory consumption is
not a problem, we are better off using breadth-first search than
depth-first search in this scenario.

C. A* search with heuristic h=0 will always have to search the entire
tree before finding the optimal solution.


D. Suppose A* search uses an evaluation function f(n) = (1-w) g(n) + w
h(n). For any value of w between 0 and 1 (inclusive), A* will
terminate and return optimal solution.



E. If h1 and h2 are two admissible heuristics, and h3 is defined as
h3(n) = max(h1(n) , h2(n)) , then A* search with h3 is guaranteed to
return an optimal solution while expanding as many or fewer nodes than
either h1 or h2.