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THE POTENCY OF AI IN SOLVING COMPLEX MATHEMATICAL PROBLEMS: THE PROSPECT AND STRATEGIES FOR MATHEMATICS
This paper explores the
transformative role of Artificial Intelligence (AI) in addressing complex
mathematical problems, highlighting its growing potency, strategic approaches,
and long-term prospects. With the advancement of deep learning, symbolic reasoning,
and reinforcement learning, AI systems have demonstrated capabilities in
solving differential equations, performing symbolic integration, and generating
formal proofs. The study discusses emerging strategies such as neuro-symbolic
models and automated theorem proving, which combine human-like reasoning with
computational power. Additionally, it reviews landmark achievements where AI
has contributed to new mathematical insights through collaboration with
experts. The prospects of AI in mathematics indicate enhanced efficiency,
creativity, and accessibility in problem-solving. This work also stresses the
importance of ethical deployment, transparency, and interdisciplinary
collaboration. Strategic integration of AI in education and research will
further unlock its potential. By augmenting human intuition and logical
thinking, AI is set to redefine the landscape of mathematical innovation. The
study concluded that As AI tools evolve, they
promise to enhance creativity, not just computation. This synergy is reshaping
mathematical research and problem-solving. The study also recommended that
governments and academic bodies should fund research into hybrid AI models that
combine symbolic logic with deep learning to advance AI’s reasoning
capabilities in mathematics.
KEYWORDS:Artificial Intelligence, Complex Mathematical
Problems and Education
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