About this document
Types of Reflex Agents in AI by Mule Won Tege is a document available to read on EtoBox.
A simple reflex agent takes action based only on the current situation, ignoring past percepts. It maps current percepts directly to actions using a table or rules. An example is a robotic vacuum that decides whether to suck or continue moving based on detecting a location as clean or dirty. A goal-based reflex agent has a goal and strategy to reach it, selecting actions that improve progress toward the goal. An example is a searching robot that wants to reach a destination. A learning agent can learn from
- Author
- Mule Won Tege
- Language
- EN