Cognitive Computing and Artificial Intelligence: Bridging Human and Machine Intelligence

Abstract

Cognitive computing and artificial intelligence (AI) are reshaping how humans interact with machines, enabling systems that can perceive, reason, learn, and adapt. While AI traditionally focuses on automation and predictive analytics, cognitive computing extends these capabilities by simulating human thought processes and enabling contextual understanding. This paper explores the integration of cognitive computing and AI as a pathway toward bridging human and machine intelligence. It discusses the theoretical foundations, key technologies, applications in various sectors, ethical challenges, and future research directions. By examining this convergence, we highlight how cognitive systems can augment human decision-making, improve human–machine collaboration, and foster innovation in a knowledge-driven society.