Artificial Intelligence (AI) has become one of the most transformative technologies of the modern era. Behind intelligent systems such as expert systems, recommendation engines, robotics, and autonomous vehicles lies a strong mathematical foundation. Among these foundations, Discrete Mathematics plays a significant role in designing algorithms, logical reasoning, knowledge representation, and decision-making processes. Concepts such as graph theory, logic, set theory, combinatory, Boolean algebra, and probability form the backbone of many AI techniques. This paper explores the importance of Discrete Mathematics in AI, its major applications, advantages, and future scope. The study highlights how discrete structures improve computational efficiency, optimize problem-solving, and support intelligent decision systems. Recent literature also emphasizes graph theory, combinatory, formal languages, and optimization methods as key foundations for AI and machine learning.
Mr.Ghadage V.D. (Thu,) studied this question.