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Part B Introduction This section describes what you have to do and what you have to deliver for Part B of the mid - term
Part B
Introduction
This section describes what you have to do and what you have to deliver for
Part B of the midterm CM AI coursework.
For this part of the coursework, you need to build on top of the codebase from
the Genetic Algorithm Creatures case study. Your objective is to adapt the
evolutionary algorithm so that the creatures evolve to complete a new task.
The new task involves climbing a mountain. We have created a special new
environment for the creatures to operate in You need to integrate the genetic
algorithm code to that new environment such that it evolves creatures that can
climb the mountain.
The following image illustrates the new environment:
Figure : Mountain climbing environment
You can see that there is a kind of sandbox with a mountain in the middle.
The idea is for the creature to get as high as possible up the mountain, without
cheating and flying into the air. Your job is to integrate that new environment
into the simulation code and to adapt the fitness function so it measures maximum
closeness to the top of the mountain.
How to complete the coursework
Download the code for the new environment, linked below. You will see that I
have included the code as it stood at the end of my development work. There
are also some new scripts in there:
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