Computer-Generated Chess Problem 01724
Here is a 'KRBN vs knnp' chess problem generated autonomously by a 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. Chesthetica is able to generate mates in 3, mates in 4, mates in 5, study-like constructs and also compose problems using specific combinations of pieces fed into it. Read more about it on ChessBase.
Chesthetica v10.57 : Selangor, Malaysia
White to Play and Mate in 5 : 2017.11.16 9:28:57 AM
White is significantly ahead in material. 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 also help improve your game.
Facebook | Twitter | Kindle E-book | Website
Congratulations @chesthetica! You have completed the following achievement on Steemit and have been rewarded with new badge(s) :
Click on the badge to view your Board of Honor.
If you no longer want to receive notifications, reply to this comment with the word
STOPTo support your work, I also upvoted your post!
Do not miss the last post from @steemitboard:
SteemitBoard and the Veterans on Steemit - The First Community Badge.