Development of Automated Reasoning System Capable of Generating Proofs For Mathematical Theorems
Keywords:
first-order logic (FOC), Automated Reasoning System, Automated-theorem proving (ATP), Artificial Intelligence (AI), Automatic Mathematics SolverAbstract
The increasing complexity of mathematical theorems and the demand for efficient verification methods have driven significant advancements in automated reasoning systems. This research presents the design and implementation of an Automated Reasoning System capable of generating and validating proofs for mathematical theorems using artificial intelligence and logical frameworks. The system integrates First-Order Logic (FOL) with resolution theorem-proving and heuristic search optimization to enhance proof accuracy, computational efficiency, and scalability.
Downloads
Published
2025-10-25
Issue
Section
Articles
Similar Articles
- Abdulrahman Ndanusa, Convergence of Preconditioned Gauss-Seidel Iterative Method For Matrices , Communication In Physical Sciences: Vol. 6 No. 1 (2020): VOLUME 6 ISSUE 1
- Oluwatosin Lawal, Projecting AI-Driven Intersection of FinTech, Financial Compliance, and Technology Law , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
- Abdulateef Oluwakayode Disu, Henry Makinde, Olajide Alex Ajide, Aniedi Ojo, Martin Mbonu, Artificial Intelligence in Investment Banking: Automating Deal Structuring, Market Intelligence, and Client’s Insights Through Machine Learning , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Ololade Omosunlade, Curriculum Framework for Entrepreneurial Innovation among Special Needs Students in the Age of Artificial Intelligence , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- Godwin Ezikanyi Okey, Yusuf Jibril, G. A. Olarinoye, Comparative Analyses amongst 3 Hybrid Controllers - MPC-HGAFSA, LQR-HGAFSA and PID-HGAFSA in a Micro Grid Power System Using MAD and RMSE as Measures of Performance Metrics , Communication In Physical Sciences: Vol. 10 No. 1 (2023): VOLUME 10 ISSUE 1
- Olaleye Ibiyeye, Joy Nnenna Okolo, Samuel Adetayo Adeniji, A Comprehensive Evaluation of AI-Driven Data Science Models in Cybersecurity: Covering Intrusion Detection, Threat Analysis, Intelligent Automation, and Adaptive Decision-Making Systems , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Joy Nnenna Okolo, A Systematic Analysis of Artificial Intelligence and Data Science Integration for Proactive Cyber Defense: Exploring Methods, Implementation Obstacles, Emerging Innovations, and Future Security Prospects , Communication In Physical Sciences: Vol. 7 No. 4 (2021): VOLUME 7 ISSUE 4
- Eli Innocent Cleopas, Abanum Godspower Chukwunedum, Computational Modelling of Dynamical System and the Type of Stability , Communication In Physical Sciences: Vol. 9 No. 3 (2023): VOLUME 9 ISSUE 3
- Njoku, Kevin Ndubuisi Chikezie, Okoli, Odilichukwu Christian., A Note On The Proofs Of Cramer’s Formula , Communication In Physical Sciences: Vol. 11 No. 1 (2024): VOLUME 11 ISSUE 1
- Enefiok Archibong Etuk, Omankwu, Obinnaya Chinecherem Beloved, Human-AI Collaboration: Enhancing Decision-Making in Critical Sectors , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
You may also start an advanced similarity search for this article.