Ignore the history of precepts, just select actions based on current percept.
Uses a set of if-else statements, or condition-action rules:
if A then B
Maps well to real situations (including human reflexes, deeply learned behaviors, etc.)
Biggest limitation: environment needs to be fully observable (we use a Model-based Reflex Agents for partially observable environments).
function SIMPLE-REFLEX-AGENT(percept) returns an action
persistent: rules, a set of condition-action rules
state ← INTERPRET-INPUT(percept)
rule ← RULE-MATCH(state,rules)
action ← rule.ACTION
return action
Model-based Reflex Agents