CSI2120 Lab 5-Flight Schedule Solved

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Exercise 1. Flight Schedule
Given the following facts:

flight(montreal, chicoutimi, 15:30, 16:15).
flight(montreal, sherbrooke, 17:10, 17:50).
flight(montreal, sudbury, 16:40, 18:45).
flight(northbay, kenora, 13:10, 14:40).
flight(ottawa, montreal, 12:20, 13:10).
flight(ottawa, northbay, 11:25, 12:20).
flight(ottawa, thunderbay, 19:00, 20:30).
flight(ottawa, toronto, 10:30, 11:30).
flight(sherbrooke, baiecomeau, 18:40, 20:05).
flight(sudbury, kenora, 20:15, 21:55).
flight(thunderbay, kenora, 20:00, 21:55).
flight(toronto, london, 13:15, 14:05).
flight(toronto, montreal, 12:45, 14:40).
flight(windsor, toronto, 8:50, 10:10).
Which of the following predicates allows one to decide if one’s arrival time at the airport is early enough to catch a certain flight. On-time arrival at the airport is at least 60 minutes prior to the corresponding departure time of the flight.

Rule Set 1:

on_time(H1 : _M1, D, A) :-
flight(D, A, H2 : _M2, _H3 : _M3),H2 – H1 > 1.
on_time(H1 : M1, D, A) :-
flight(D, A, H2 : M2, _H3 : _M3),
H2 – H1 =:= 1, MM is 60 – M1, MM + M2 >= 60.
Rule Set 2:

on_time(H1 : _M1, D, A) :-
flight(D, A, H2 : _M2, _H3 : _M3),H2 – H1 > 2.
on_time(H1 : M1, D, A) :-
flight(D, A, H2 : M2, _H3 : _M3),
H2 – H1 =:= 1, MM is 60 – M1, MM + M2 >= 60.
Rule set 3:

on_time(H1 : _M1, D, A) :-
flight(D, A, H2 : _M2, _H3 : _M3),H2 – H1 > 2.
on_time(H1 : M1, D, A) :-
flight(D, A, H2 : M2, _H3 : _M3),
H2 – H1 =\= 1, MM is 60 – M1, MM + M2 >= 60.
Rule Set 4:

on_time(H1 : _M1, D, A) :-
flight(D, A, H2 : _M2, _H3 : _M3),H2 – H1 > 1.
on_time(H1 : M1, D, A) :-
flight(D, A, H2 : M2, _H3 : _M3),
H2 – H1 =:= 1, MM is 60 – M1, MM – M2 < 60.
Exercise 2. Arrival Predicate
Write an arrival predicate which enables the following type of query with the database of Exercise 1:

?- arrival( flight(montreal,sherbrooke), X).
X=17:10
Exercise 3. Sum of Integers
Write a predicate that finds the sum of the first N numbers, i.e., it should enable queries of the form sum_int(N,X).

Exercise 4 and Quiz: Series
Please hand-in the answer to this question on Virtual Campus during your lab session but at the latest by Friday 6:00pm! Remember, your submission will only count if you have signed the lab attendance sheet.
We would like to define a predicate that calculates the cosine with a series approximation $ cos(z) = \sum_{k=0}^{\infty} \frac{(-1)^k z^{2k}}{(2k)!} $

Obviously, we can not calculate an infinte number of terms, instead our predicate will use an extra parameter N to determine the number of terms in the summation.

Fill the gaps fixing the following set of rules to correctly approximate the cosine value according to the above equation.

% Factorial from class
fact(0, 1).
fact(N, F) :- N > 0,
N1 is N-1,
fact(N1, F1),
F is F1 * N.

% Calculate -1 ^ K
signCnt(0,1).
signCnt(K,S) :- K > 0,
K1 is K – 1,
signCnt(K1,S1),
____________________.

% Base case
cosN(_________,_________,_,0).

% Recursive case
cosN(K,N,X,Y) :- K < N,
signCnt(K,S),
K2 is 2 * K,
fact(K2,F),
Yk is (S * X**K2)/F,
_______________________,

_______________________,

_______________________.

cosN(N,X,Y) :- N>0, cosN(0,N,X,Y).
Example Output:

?- cosN(5,pi,Y).
Y = -0.9760222126236076 ;
false.

?- cosN(25,pi,Y).
Y = -1.0 ;
false.

?- cosN(3,pi/2,Y).
Y = 0.01996895776487828 ;
false.

?- cosN(10,pi/2,Y).
Y = -3.3306690738754696e-15 ;
false.

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