![]() ![]() I am aware that it is possible to solve the problem manually, but from that I would not learn anything about artificial learning. I was thinking on genetic algorithms or neural networks, so something which can learn the basics from me and after that develop itself by gaming more, but I have no experience with these methods, so I don't know where to start, and which one would work. Use the peg in position 6 to jump position 5. 8 Take the peg in position 4 and jump it over the peg in position 2. Is it possible to generate an algorithm, which can solve the problem by many different scenarios (so which has a strategy)? This basic pattern can be repeated throughout the board, helping you win the game. Now that is extremely hard to achieve, I have less than 1% success rate and I don't have the winning strategy. The aim of the game that only a single globe should remain. Now I stepped again (with "d" over "c"): |o|o|o| Peg solitaire (or Solo Noble) is a single player board game involving movement of pegs on a board with holes. You get started with a selection of over a dozen most famous Peg Solitaire boards that you can play right off the bat. You have to remove one globe at the beginning (I started with the middle one): |o|o|o|Īfter that you can step over a single globe in horizonatal or vertical direction (I stepped here with "b" over "a", so I removed "a" from the playground): |o|o|o| The only Peg Solitaire app you will ever need You can design your own boards, play them, and see how your solutions compare to the included super fast heuristic solver. There are 37 glass globes in holes: |o|o|o| GitHub - mkhrapov/peg-solitaire-solver: A Swift PM library to solve arbitrary Peg Solitaire boards using an original, heuristic, extremely fast and efficient algorithm. I have a single player logical game which is hard to solve: The algorithm is quite straight-forward: With n pegs. bin/ark/viauc/ads/ peg src/ark/viauc/ads/ peg. ![]() The simplest solution takes only 31 moves Secrets to doing well in this game are careful. GitHub - arnaskro/Peg-Solitaire: Peg Solitaire Solver implementation in Java using backtracking algorithm arnaskro / Peg-Solitaire Public Notifications Fork Star master 1 branch 0 tags Code 3 commits Failed to load latest commit information. I was wondering, maybe there is a way to generate something more complex. Such a puzzle is amenable to backtracking to find a solution. If there are no balls to jump over, then you have no playable moves. I know that with regression it is possible to generate a mathematical function based on experimental data. ![]()
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