![]() When I was a kid I struggled with Peg Solitaire. But then, some years later I started at the University with To find a solution and my best score was having 2 pegs left. My first adventures on programming with C++. There was an “Aha!” moment when I learntĪbout some algorithmic technique called Backtracking. You to explore all possible solutions for a given problem. Where it can’t a find solution it “goes back” and tries a new path. ![]() So the only missing thing was how to model the Peg Solitaire board and its movements. We could just model the board as a 7x7 matrix. I then assigned some numeric codesĭepending on if the peg is present (1), not present (0) and if the position is outside of The easiest place to begin the game is with the missing peg (hole) at one of the blue midpoint locations. Regarding movements for a given position within the matrix we should check all possible The hardest place to begin is with the missing peg at one of the green interior holes. For instance, for the position within the matrix a valid movement Peg Solitaire (also known as Hi-Q) is played on an n × n grid of holes, typically arranged in the shape of a cross (although other shapes can be used). Here you could check the solution found by the above scripts: Here a relevant bit from the C++ code: if (( j + 2 ) < 7 & M = 1 & M = 0 ) (the refactor is not complete, so feel free to improve the solution and submit a pull request). So here you have a clear example of Transfer of Learning. Use the mouse to select pegs and move them around. Hopefully this will inspire you to solve similar problems. A mouse click selects a peg, then select an empty space to move to. The game features 13 layouts, each having a different solution: Standard, Square, European, Asymmetric, Rhombus, German, Triangle, Diamond, Snowflake, Hexagonal, Star, Pyramid, and Trapezoid.
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