Authors: Ms. Rasika R. Patil, Renuka S. Durge
Abstract: Cognitive computing represents an advanced approach in artificial intelligence that aim to simulate human reasoning, learning and decision-making process. Unlike traditional AI systems that follow fixed algorithm, cognitive systems learn from continuously learn from experiences, adapt to new data and response intelligently to changing a new context. These systems integrate disciplines such as machine learning, deep natural networks and natural language processing to analyze large volume of structured and unstructured information. Cognitive computing enhances human machine interaction by enabling contextual understanding, pattern recognition and predictive reasoning. This pepar explores this architecture, working principles, and real-world application of cognitive computing in healthcare, business analytics, and autonomous systems. It also discusses current challenges, including data privacy, interpretability, and ethical implementation. The study concludes that cognitive computing holds to potential to create adaptive, transparent, and human like intelligent systems that redefine the future of decision making and automations.
