Computer-Generated Chess Problem 02340

A newly published and original KRRNPP vs kqbnnp three-move chess puzzle or problem (whichever you wish to call it) composed by the prototype computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity method. It does not use endgame tablebases, artificial neural networks, machine learning or any kind of typical AI. There is no known limit to the quantity or type of compositions that can be generated. This position contains a total of 12 pieces. The largest endgame tablebase in existence today is for 7 pieces (containing over 500 trillion positions anyway) which means the problem could not have been taken from it regardless.

2nkb3/1PN1n3/7R/2qp2K1/3PR3/8/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.10.27 11:19:58 PM

Chess puzzles are ancient. Some are over a thousand years old but only in the 21st century have computers been able to compose original ones on their own like humans can. Chesthetica composes only unique or new constructs (learn more here: https://en.chessbase.com/post/azlan-iqbal-introducing-chess-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. Solving chess puzzles like this can be good for your health as it keeps your brain active. It may even delay or prevent dementia.

Related Books: http://amazon.com/author/azlan_iqbal

Artwork licensed under Creative Commons (CC0).