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Fast and Slow Enigmas and Parental Guidance
[article]
2021
arXiv
pre-print
We describe several additions to the ENIGMA system that guides clause selection in the E automated theorem prover. First, we significantly speed up its neural guidance by adding server-based GPU evaluation. The second addition is motivated by fast weight-based rejection filters that are currently used in systems like E and Prover9. Such systems can be made more intelligent by instead training fast versions of ENIGMA that implement more intelligent pre-filtering. This results in combinations of
arXiv:2107.06750v1
fatcat:457ja3rb3veexkqruc55f5wmpy