ENIGMA Anonymous: Symbol-Independent Inference Guiding Machine (system description)

13 Feb 2020Jan JakubůvKarel ChvalovskýMiroslav OlšákBartosz PiotrowskiMartin SudaJosef Urban

We describe an implementation of gradient boosting and neural guidance of saturation-style automated theorem provers that does not depend on consistent symbol names across problems. For the gradient-boosting guidance, we manually create abstracted features by considering arity-based encodings of formulas... (read more)

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