AI Agents Explained: How They Think, Learn, and Act AI agents are autonomous software programs that perceive their environment, make decisions, and act to achieve specific goals . These agents can range from simple rule-based bots to sophisticated systems powered by machine learning and deep learning. As AI evolves, AI agents are becoming increasingly important across industries and domains. What is an AI Agent? An AI agent consists of four key components: Perception : Takes input from its environment (e.g., text, images, audio, sensor data). Decision-making : Applies logic, rules, or learning models to determine the best course of action. Action : Performs tasks in the real or digital world. Learning (optional) : Adapts its behavior over time using feedback or data. Types of AI Agents (with Examples) 1. Reactive Agents Respond directly to stimuli without memory or learning. Example : A thermostat that adjusts heating based on temperature. 2. Model-Based Reflex Agents Maintain intern...