"I will attempt to train an artificial intelligence to solve complex sudoku puzzles that require Set-Equivalence Theory to logically break into the puzzle. This technique requires finding geometric patterns/equivalences to link two seemingly unrelated group of cells that must include the same digits, something most computer solvers do not care about. "
"As for needing sources, the only sources I may need, aside from a couple that deal with the basics of set theory and sudoku, are about artificial intelligence/neural networks/genetic algorithms."
I went to ProQuest database to look around a bit. My search terms were:
"neural networks" AND "artificial Intelligence" AND sudoku AND "Genetic algorithms"
and I limited the results to full-text and peer-reviewed (most times this
works).
Here are the 19 results:
https://www.proquest.com/results/497C804E08394234PQ/1?accountid=4870
Research articleFull text access
Optics Communications30 April 2021
2
Research articleFull text access
Neural NetworksAugust 2015
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3
Research articleFull text access
Carbon4 December 2021
4
Research articleFull text access
Neural NetworksSeptember 2014
5
Research articleFull text access
Neural Networks18 June 2019