A Computer Composes A Fabled Problem: Four Knights vs. Queen
Azlan Iqbal

TL;DR
This paper demonstrates how the Chesthetica system, using the DSNS approach, successfully composed a complex, creative chess problem that challenges human players, within 10 days on modest hardware, highlighting DSNS's potential in computational creativity.
Contribution
It introduces the DSNS approach for automatic chess problem composition and shows its effectiveness in creating complex problems without extensive computational resources.
Findings
Successfully composed a rare chess problem using DSNS
Achieved composition in 10 days on low-power hardware
Supports DSNS as a viable approach in computational creativity
Abstract
We explain how the prototype automatic chess problem composer, Chesthetica, successfully composed a rare and interesting chess problem using the new Digital Synaptic Neural Substrate (DSNS) computational creativity approach. This problem represents a greater challenge from a creative standpoint because the checkmate is not always clear and the method of winning even less so. Creating a decisive chess problem of this type without the aid of an omniscient 7-piece endgame tablebase (and one that also abides by several chess composition conventions) would therefore be a challenge for most human players and composers working on their own. The fact that a small computer with relatively low processing power and memory was sufficient to compose such a problem using the DSNS approach in just 10 days is therefore noteworthy. In this report we document the event and result in some detail. It lends…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeural Networks and Applications · Advanced Memory and Neural Computing · Neural Networks and Reservoir Computing
