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Computer-Generated Chess Problem 03193

A newly published and original KQRBB vs kqrbbn forced mate in five chess problem generated by the program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, neural networks or any kind of machine learning found in traditional AI. Depending on the type and complexity of the problem desired, a single instance of Chesthetica running on a desktop computer can probably generate anywhere between one and ten problems per hour. The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not been seen by human eyes. This problem with 11 pieces goes even beyond that and was therefore composed without any such help. 3q4/r5Q1/k1BB4/8/1R4n1/8/bb4K1/8 w - - 0 1 White to Play and Mate in 5 Chesthetica v12.19 (Selangor, Malaysia) Generated on 30 Jan 2021 at 11:04:05 PM Solvability Estimate = Moderate Most changes to Chesthetica that result in a slightly higher 'version number' are simply to improve the interface, by the way. Chesthetica composes only unique or new constructs. Do you think you could have composed something better with these pieces? Share in the comments and let us know how long it took you. Feel free to copy the position into a chess engine and discover even more variations of the solution. #chess #gaming #art #technology

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