what is rational agent in ai

What is a rational agent in artificial intelligence?

A rational agent is a very important concept in the world of artificial intelligence (AI). Whenever people ask, “what is a rational agent in AI?”, the answer is simple: a program or system that analyzes information in its environment and makes the best decisions. Its objective is to achieve its goal with maximum success.

To put it simply, just as humans make informed decisions, a rational agent in AI processes input (percepts) and makes optimal decisions. For example, a self-driving car makes rational driving decisions based on the signals, traffic, and road conditions around it.

Rationality means that an agent's behavior in any given situation should be such that it has the highest probability of success. Rational agents must consider their Percept History and Performance Measures to understand whether their output can produce the expected result.

Types of Rational Agents

Simple Reflex Agents, Model-based Reflex Agents, Goal-based Agents, and Utility-based Agents are the most common types of rational agents in AI. Each has its own strategy and application, which helps it make better decisions for specific tasks.

Recommendation:

If you're interested in pursuing a career in AI or want to gain a deeper understanding of the subject, be sure to explore practical examples of rational agent functioning and types, such as a chess-playing computer program or a recommendation system. For more information, visit Wikipedia – Intelligent Agent.