Computer-Generated Chess Problem 02132

Contemplate this 'KBNPPP vs kbbnnp' study-like chess problem generated autonomously by the prototype computer 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. Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces. The solution shown for this study may not be the best line possible because it depends on the engine that was used and how much time it had to analyze. Regardless, the first move and overall evaluation (e.g. win, draw) should be right.

8/8/2P3P1/k2n2B1/8/4p1K1/2bP4/2N1n1b1 w - - 0 1
White to Play and Draw
Chesthetica v10.67 : Selangor, Malaysia
2018.6.9 1:37:39 AM

The chess problems are published chronologically based on the composition date and time. However, later compositions may have an earlier version of Chesthetica listed because more than one computer (not all running the same version of the program) is used. White actually has less material than Black yet still wins. The white army is down by about 4 (Shannon) pawn units in value. If this one is too easy or too difficult for you, try out some of the others.

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