Lossless compression via two-level logic minimization: a case study using Chess endgame data

The utililty of processing techniques long in use within the electronic design automation community is underappreciated within the artificial intelligence community. We update and use the ESPRESSO logic minimizer in order to generate an exact, readily-queryable, and succinct representation of voluminous Chess endgame data.