The rule of a simple reflex agent is the condition-action rule (also known as the "if-then" rule). This means the agent decides its actions solely based on the current percept (input) from the environment, without considering any past percepts or history. The agent follows predefined rules of the form: "If condition X is true, then perform action Y." For example, if a sensor detects dirt, the agent triggers the cleaning action. If the condition is false, it performs an alternative action. This simple rule-based mechanism enables the agent to react immediately to the current situation
. Key points about the rule of simple reflex agents:
- They operate only on the current percept, ignoring any past information or learning.
- The rules are predefined and fixed; the agent cannot adapt or learn new rules.
- The environment must be fully observable for the agent to function correctly.
- The condition-action rules map specific percepts to corresponding actions.
- This rule is easy to program and execute quickly but limits the agent's ability to handle complex or changing environments
In summary, the simple reflex agent's rule is a straightforward "if-then" condition-action rule that dictates the agent's behavior based solely on the current input from its sensors.
