Regularization in Spider-Style Strategy Discovery and Schedule Construction
Bártek, Filip, Chvalovský, Karel, Suda, Martin
–arXiv.org Artificial Intelligence
To achieve the best performance, automatic theorem provers often rely on schedules of diverse proving strategies to be tried out (either sequentially or in parallel) on a given problem. In this paper, we report on a large-scale experiment with discovering strategies for the Vampire prover, targeting the FOF fragment of the TPTP library and constructing a schedule for it, based on the ideas of Andrei Voronkov's system Spider. We examine the process from various angles, discuss the difficulty (or ease) of obtaining a strong Vampire schedule for the CASC competition, and establish how well a schedule can be expected to generalize to unseen problems and what factors influence this property.
arXiv.org Artificial Intelligence
Jul-9-2024
- Country:
- Asia
- Georgia > Tbilisi
- Tbilisi (0.04)
- Middle East > Israel
- Haifa District > Haifa (0.04)
- Russia (0.04)
- Georgia > Tbilisi
- Europe
- Czechia > Prague (0.04)
- France > Île-de-France
- Germany > Berlin (0.04)
- Poland (0.04)
- Romania > Vest Development Region
- Timiș County > Timișoara (0.04)
- Russia > Northwestern Federal District
- Leningrad Oblast > Saint Petersburg (0.04)
- North America > United States
- Florida > Miami-Dade County
- Miami (0.04)
- Georgia > Fulton County
- Atlanta (0.04)
- Nevada > Clark County
- Las Vegas (0.04)
- Texas > Travis County
- Austin (0.04)
- Florida > Miami-Dade County
- Oceania > Australia
- New South Wales > Sydney (0.04)
- South America > Brazil
- Rio Grande do Norte > Natal (0.04)
- Asia
- Genre:
- Research Report (0.82)
- Technology: