文件列表:

LICENSE (11357, 2020-07-18)
feedback.pdf (32594, 2020-07-18)
feedback.txt (1358, 2020-07-18)
proj2.pdf (153369, 2020-07-18)
proj2.pl (11514, 2020-07-18)
proj2_test.pl (3496, 2020-07-18)
prologtest.pl (7293, 2020-07-18)
test.pl (1018, 2020-07-18)

# Math Puzzle solving AI ## How to run - Windows: - double click ```proj2_test.pl``` - `?- [proj2].` - `?- do_tests.` - Test result on my `i7-7700K`: ``` ?- [proj2]. true. ?- do_tests. Num Test Secs Status Score Remark --- ---- ---- ------ ----- ------ 1 puzzle_solution(inout) ... 0.00 PASS 1.0/1.0 2 puzzle_solution(inout) ... 0.00 PASS 1.0/1.0 3 puzzle_solution(inout) ... 0.00 PASS 1.0/1.0 4 puzzle_solution(inout) ... 0.00 PASS 1.0/1.0 5 puzzle_solution(inout) ... 0.00 PASS 1.0/1.0 6 puzzle_solution(inout) ... 0.00 PASS 1.0/1.0 7 puzzle_solution(inout) ... 0.00 PASS 1.0/1.0 8 puzzle_solution(inout) ... 0.00 PASS 1.0/1.0 9 puzzle_solution(inout) ... 0.03 PASS 1.0/1.0 10 puzzle_solution(inout) ... 0.00 PASS 1.0/1.0 11 puzzle_solution(inout) ... 0.00 PASS 1.0/1.0 12 puzzle_solution(inout) ... 0.02 PASS 1.0/1.0 13 puzzle_solution(inout) ... 0.00 PASS 1.0/1.0 14 puzzle_solution(inout) ... 0.02 PASS 1.0/1.0 15 puzzle_solution(inout) ... 0.00 PASS 1.0/1.0 16 puzzle_solution(inout) ... 0.02 PASS 1.0/1.0 17 puzzle_solution(inout) ... 0.02 PASS 1.0/1.0 18 puzzle_solution(inout) ... 0.00 PASS 1.0/1.0 19 puzzle_solution(inout) ... 0.02 PASS 1.0/1.0 20 puzzle_solution(inout) ... 0.00 PASS 1.0/1.0 21 puzzle_solution(inout) ... 0.00 PASS 1.0/1.0 Total tests executed: 21 Total correctness : 21.00 / 21.00 = 100.00% Marks earned : 100.00 / 100.00 true. ``` ## File directory ``` -| proj2.pdf - project description | proj2.pl - major predicates | proj2_test.pl - test cases | test.pl - my test cases for predicates ``` ## Program Description This code is for providing the implementation for the math puzzle solver. \ It is defined in one main predicate: - puzzle_solution(+Puzzle) - puzzle_solution/1. ``` %% e.g.: %% ?- Puzzle=[[0,14,10,35],[14,_,_,_],[15,_,_,_],[28,_,1,_]], %% | puzzle_solution(Puzzle). %% Puzzle = [[0, 14, 10, 35], [14, 7, 2, 1], [15, 3, 7, 5], [28, 4, 1, 7]] ; %% false. %% %% Note: 1) Some cells of the puzzle can be given a digit in the input. %% Otherwise input has "_" for the predicate to find a digit for unbound %% cell. %% 2) The first list of Puzzle is the column number for each math puzzle %% column ("0" has no meaning just for distinguishing a cell place). %% The rest lists' first elemens are the row number for each row. The %% rest is the matrix to be found digits for. %% 3) In the above example, [14,10,35] in first list is the column %% numbers. [14,15,18] is the first element of the rest lists is the row %% numbers. A digit 1 is given in row 3 column 2. %% Represent it graphically: %% +---+---+---+---+ +---+---+---+---+ %% | 0| 14| 10| 35| | 0| 14| 10| 35| %% +---+---+---+---+ +---+---+---+---+ %% | 14| _| _| _| | 14| 7| 2| 1| %% +---+-----------+ == solved to => +---+-----------+ %% | 15| _| _| _| | 15| 3| 7| 5| %% +---+-----------+ +---+-----------+ %% | 18| _| 1| _| | 18| 4| 1| 7| %% +---+-----------+ +---+-----------+ ``` The program is for solving the math puzzle with a n*n squares of grids and a number for each row and column (a graphical representation is given below). With constraints: 1. the left-top to bottom right diagonal requires same digit 2. each column sums or products to the given row number 3. each row sums or products to the given row number 4. each row's digits are different 5. each column's digits are different 6. each cell of the puzzle matrix is 1-9 digit The program approachs the solution by: 1. unifies diagonal to the same digit 2. generate each row that satisfies constraint 3) 4) 3. then do the same thing to each column by transpose the puzzle so that can reuse the predicates for rows to unifies columns 4. ensure each cell in the n*n puzzle is ground. The program assumes: 1. The input puzzle matrix is 2\*2, 3\*3 or 4\*4 size (i.e.: n range from 2-4 inclusively). 2. The input Puzzle data structure is made up of an ignored top left corner, bounded header numbers, puzzle matrix with partially bounded or unbounded cells. Detailed example is given below. 3. The puzzle has at least one solution or returns false if not solvable when a proper Puzzle is given. ## Major Predicate ``` %% puzzle_solution(+Puzzle). %% It takes a Puzzle and unifies it so that the Puzzle satisfies the %% constraints listed above. The predicate holds when the Puzzle is the %% representation of a solved maths puzzle. Otherwise the result is false. puzzle_solution/1. puzzle_solution(Puzzle) :- % step 0: unpack the input data structure unpack_puzzle(Puzzle, RowNumbers, ColumnNumbers, Matrix), % step 1: unifies diagonal to the same digit for constraint 1) same_diagonal_digits(Matrix), % step 2: unifies each row with digits that satisfies constraint 3) 4) maplist(generate_and_validate_row, RowNumbers, Matrix), % step 3: unifies each column with digits that satisfies constraint 2) 5) validate_columns(Matrix, ColumnNumbers), % step 4: check each cell in Matrix is ground to satisfy constraint 6) maplist(label, Matrix). ``` ## Feedback - [93.000000%](https://github.com/yangxvlin/math-puzzle-ai/blob/master/./feedback.txt) - [feedback](https://github.com/yangxvlin/math-puzzle-ai/blob/master/./feedback.pdf)

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