Bridging Disciplines for Smarter Systems: Interdisciplinary Approaches in Intelligent Computing Systems

Abstract

The rapid advancement of intelligent computing systems has been driven by the integration of multiple disciplines, including computer science, data science, cognitive science, engineering, and social sciences. Interdisciplinary approaches enable the development of systems that are not only technologically advanced but also adaptable, efficient, and user-centric. This paper explores the role of interdisciplinary collaboration in shaping intelligent computing systems, highlighting key domains, integration frameworks, and real-world applications. It examines how combining diverse fields enhances
system intelligence, improves decision-making, and addresses complex
challenges. The study also discusses the benefits, challenges, and future
directions of interdisciplinary approaches in intelligent computing.

KEYWORDS: Intelligent Computing, Interdisciplinary Approaches, Artificial Intelligence, Data Science, Cognitive Computing, System Integration