AIDec 18, 2014

GraATP: A Graph Theoretic Approach for Automated Theorem Proving in Plane Geometry

arXiv:1412.5980v1
Originality Synthesis-oriented
AI Analysis

This addresses the problem of automating geometric theorem proving for researchers and educators, but it appears incremental as it applies a known graph-based method to a specific domain.

The authors tackled automated theorem proving in plane geometry by proposing GraATP, a framework that translates geometric entities and relations into a graph, and the system searches for proofs via graph traversal to validate theorems.

Automated Theorem Proving (ATP) is an established branch of Artificial Intelligence. The purpose of ATP is to design a system which can automatically figure out an algorithm either to prove or disprove a mathematical claim, on the basis of a set of given premises, using a set of fundamental postulates and following the method of logical inference. In this paper, we propose GraATP, a generalized framework for automated theorem proving in plane geometry. Our proposed method translates the geometric entities into nodes of a graph and the relations between them as edges of that graph. The automated system searches for different ways to reach the conclusion for a claim via graph traversal by which the validity of the geometric theorem is examined.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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