Elementary Proof

Elementary proofs focus on establishing mathematical results using only basic, readily accessible techniques, avoiding advanced machinery. Current research explores automating the generation of such proofs, particularly in abstract algebra and logic programming, employing techniques like automated planning and semantic parsing with neural networks. This work aims to improve the reliability and accessibility of mathematical verification, potentially impacting fields requiring rigorous proof, such as software verification and formal mathematics. The development of elementary proofs also contributes to a deeper understanding of fundamental mathematical structures and their computational properties.