What are the 5 types of Ai agent?
Simple Reflex Ai Agents—These agents act only on the basis of the current situation, following if-then rules. For example, a thermostat turns the heater on if the temperature is low.
Model-Based Reflex Agents—Unlike simple reflexes, these maintain an internal state (a memory of past perceptions) to handle more complex situations. Example: a self-driving car remembers nearby vehicles even if sensors lose sight for a moment.
Goal-Based Agents – These agents take decisions by considering a specific goal. They evaluate possible actions and choose the one that moves them closer to the target. Example: Google Maps finding the best route to your destination.
Utility-Based Agents—They go beyond goals and focus on maximizing overall utility or satisfaction. Instead of just reaching a goal, they pick the option with the best results. Example: a stock-trading agent AI that chooses trades with higher profit and lower risk.
Learning Agents—The most advanced type, they learn from experience and improve over time. They adapt to new environments and optimize their actions. Example: robots in manufacturing or ChatGPT-like systems that improve with training.
