Computer-Generated Chess Problem 02100
Consider this 'KRBB vs knppp' chess puzzle created by Chesthetica using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, deep learning or any kind of traditional AI. This position contains a total of 9 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.
White to Play and Mate in 5
Chesthetica v10.67 : Selangor, Malaysia
2018.5.23 12:19:41 AM
Now, let's see what else there is to say. Give me a moment. If this one is too easy or too difficult for you, try out some of the others. As a whole, these problems are intended to cater to players of all skill levels. Anyway, if standard chess isn't your thing, you might instead like SSCC.
Solution (Skip to 0:35)
Congratulations @chesthetica! You have completed the following achievement on the Steem blockchain and have been rewarded with new badge(s) :
You can view your badges on your Steem Board and compare to others on the Steem Ranking
If you no longer want to receive notifications, reply to this comment with the word
STOPTo support your work, I also upvoted your post!
Vote for @Steemitboard as a witness to get one more award and increased upvotes!