Difference between a simple reflex and a model-based reflex agents in AI

Question

Among the intelligent agent types in AI, there is simple-reflex and model-based-reflex. What is the difference between the two?

Answer 1

A simple-reflex agent selects actions based on the agents current perception of the world and not based on past perceptions

A model-based-reflex agent is made to deal with partial accessibility; they do this by keeping track of the part of the world it can see now. It does this by keeping an internal state that depends on what it has seen before so it holds information on the unobserved aspects of the current state.

The former only base its analysis on current states while the latter takes account of past events