👉 Decision Computing, or DC, is an interdisciplinary field that merges decision theory, artificial intelligence, and computer science to address complex decision-making challenges in dynamic environments. It focuses on developing computational frameworks that enable machines and systems to make optimal, context-aware decisions by integrating probabilistic reasoning, learning algorithms, and real-time data processing. Unlike traditional AI, which often prioritizes pattern recognition or task automation, Decision Computing emphasizes structured decision-making—balancing uncertainty, stakeholder preferences, and evolving constraints—to guide actions in scenarios like autonomous systems, healthcare diagnostics, or strategic business planning. By formalizing decision processes through mathematical models and leveraging computational power, DC aims to create systems that not only process information but also reason through choices in ways that align with human-like judgment and adaptability.