AI 101 in Healthcare | Understanding AI Agents & Multi-Agent Systems | Session 1.26

Description

What exactly are AI Agents — and how do they think, learn, and act autonomously? In this session, explore how AI agents interact with their environment, make decisions, and collaborate in multi-agent systems to solve complex real-world problems — from healthcare chatbots to smart traffic control and robotic coordination. 💡 You’ll learn: • What AI Agents are and how they work (perception, decision, action, and learning) • The four key traits of AI agents: Social ability, Autonomy, Reactiveness, and Proactiveness • How Multi-Agent Systems (MAS) enable cooperative problem-solving • Real-world applications in healthcare, robotics, and online marketplaces • How companies like Google and Amazon deploy AI agents in their services 🏥 Part of the AI 101 in Healthcare series — simplifying core AI concepts for medical, data, and tech professionals. 🔔 Subscribe to learn how Artificial Intelligence is shaping the future of healthcare.