The Evolution of the Reflex-Agent

This is an example of a step by step improvement of the basic Reflex-Agent design.

This example is specific to the Wumpus-World - but the results can be related to any world with similar complexity.

scroll down to the reference for a simulation example.


Due to the bad performance of the pure reflex-agent descriped by Russel && Norvig in their book Artificial Intelligenz in the Wumpus-World, two new agents were developed that performe far better in this harsh environmnet.

The main difference to the basic reflex-agent is that these two new agents store the percepts they get from their actions in a some memory-cells. Due to this storage memory the new agents can base their decissions on their previous experiences they made on a field - thereby they incorporate a very simple form of learning.

The two agents differ in the amount of memory cells and capabilties to process the previous experiences.


Now for the agents as they are represented in the example simulation:


To the simulation pages


Questions and Answers

"Tell me - What does it show?"
"What's the point of all this?"

A Resumé: