Influence of Artificial Intelligence in Science and Mathematics

In the era of rapid technological advancement, the integration of Artificial Intelligence (AI) into various domains has become not just inevitable but also transformative. Among the disciplines profoundly affected by AI, Science and Mathematics stand out as fertile grounds for exploration and innovation. This book, "Influence of Artificial Intelligence in Science and Mathematics," delves into the myriad ways in which AI revolutionizes these fields, offering a comprehensive understanding of its principles, techniques, and applications.

Unit – I initiates the journey by laying down the foundational concepts of AI. From tracing the historical evolution to elucidating AI problems and techniques, including programming languages like LISP and PROLOG, readers embark on a quest to comprehend the essence of intelligent systems. The exploration of problem spaces and search strategies, ranging from blind searches to heuristic methods such as the A* algorithm, forms the bedrock upon which subsequent insights are built.

In Unit – II, the focus shifts to knowledge representation, a cornerstone of computational systems. Through an examination of various models such as Predicate Logic, Logic Programming, Semantic Nets, and Frames, readers are equipped with the tools to encapsulate and manipulate knowledge effectively. The discussions on rules-based deduction systems illuminate the path toward harnessing knowledge for intelligent decision-making.

Unit – III ventures into the realm of uncertainty, an intrinsic aspect of real-world scenarios. Here, readers delve into probabilistic reasoning, Bayesian inference, Dempster-Shafer theory, and heuristic methods, equipping themselves to navigate through uncertain knowledge landscapes with confidence. From statistical reasoning to fuzzy logic and non-monotonic reasoning, this unit provides a holistic view of handling uncertainty in AI systems.

Unit – IV delves into the symbiotic relationship between AI and scientific methods. From time-domain astronomy to drug discovery, the chapters unravel the transformative impact of AI on modern scientific discovery processes. The elucidation of artificial neural networks and genetic algorithms underscores the synergy between AI techniques and scientific exploration.

Finally, Unit – V bridges theory with practice, exploring the practical applications of AI in scientific and mathematical modeling. From natural language processing to expert systems and robotics, readers are introduced to real-world scenarios where AI augments human capabilities, propelling scientific endeavors to new heights.

Throughout this journey, readers are invited to unravel the multifaceted tapestry of AI's influence on science and mathematics. As we navigate through the pages of this book, let us embark on a voyage of discovery, embracing the transformative power of Artificial Intelligence in shaping the future of scientific inquiry and mathematical exploration.