% A matrix of 9x9 is represented as a list of lists, where each sub-list represents a row of the matrix. % The matrix is filled with numbers from 1 to 9, with 0 representing an empty cell. % solve(Puzzle) :- Puzzle is a 9x9 matrix representing a sudoku puzzle. % The solution to the puzzle is returned in the variable Solution. solve(Puzzle, Solution) :- % Convert the matrix into a list of 81 elements, with the empty cells represented as zeros. flatten(Puzzle, FlatPuzzle), % Create a list of variable names, with each variable representing a cell in the puzzle. variables(FlatPuzzle, Vars), % Create a list of constraints, representing the rules of sudoku. constraints(Vars), % Solve the puzzle by finding a satisfying assignment for the variables that satisfies the constraints. labeling([ff], Vars), % Convert the solution from a list of variables back into a 9x9 matrix. matrix(Vars, Solution). % variables(FlatPuzzle, Vars) :- Vars is a list of Prolog variables, with each variable representing a cell in the puzzle. % The length of the list Vars is equal to the number of cells in the puzzle, and the variables are initialized to the values in FlatPuzzle. variables([], []). variables([0|Tail], [Var|Vars]) :- Var #= 0, variables(Tail, Vars). variables([Val|Tail], [Var|Vars]) :- Var #= Val, variables(Tail, Vars). % constraints(Vars) :- Vars is a list of Prolog variables representing the cells of a sudoku puzzle. % This predicate creates a list of constraints that must be satisfied in order to solve the puzzle. constraints(Vars) :- % Each row must contain the numbers 1 to 9, without repetitions. ( for(I,1,9), param(Vars) do Row is Vars[(I-1)*9+1..I*9], all_different(Row) ), % Each column must contain the numbers 1 to 9, without repetitions. ( for(I,1,9), param(Vars) do Col is Vars[I..81+I-9..9], all_different(Col) ), % Each 3x3 sub-grid must contain the numbers 1 to 9, without repetitions. ( for(I,0,2), param(Vars) do ( for(J,0,2), param(Vars,I) do BlockRowStart is 1 + I*3, BlockRowEnd is BlockRowStart + 2, BlockColStart is 1 + J*3, BlockColEnd is BlockColStart + 2, Block is Vars[BlockRowStart..BlockRowEnd][BlockColStart..BlockColEnd], flatten(Block, FlattenedBlock), all_different(FlattenedBlock) ) ). % matrix(Vars, Puzzle) :- Puzzle