Description: Agentic AI for Smart Computing and Intelligent Decision-Making explores the development of autonomous artificial intelligence systems capable of perceiving environments, setting goals, reasoning, and taking actions with minimal human intervention. Unlike traditional AI models that primarily respond to specific inputs, Agentic AI can plan, adapt, learn from feedback, and execute complex tasks across dynamic environments.
The subject covers intelligent agents, machine learning, reinforcement learning, knowledge representation, multi-agent systems, and human–AI collaboration. These technologies enable smart computing systems to analyze data, predict outcomes, optimize processes, and support real-time decision-making.
Applications include autonomous vehicles, healthcare, finance, cybersecurity, robotics, smart cities, and enterprise automation. By combining autonomy, adaptability, and intelligence, Agentic AI is shaping the next generation of computing systems and transforming decision-making across industries.