For this week we spent our first day pitching our game with
a few refined mechanics which was given a go ahead by our lecturers with a few
scale backs in terms of the story with a few helpful recommendations such as
ways to communicate the story where in we could have audio logs throughout the
game. I am setting goals for this week wherein I am going to finish a re usable
night/day cycle and work on changing the skyboxes at run time as well.
For our second class we have had a look at algorithms along
with their time and space complexity which was a good recap for the studio 2
students as it gave us a refresher on the topic. In addition, we also had a
look at the inner workings on a linked list (Commonly known as a list).
Lastly for our third and final class for the week , we
worked on the practical implementations for the queue and how it would work if it were written
without the system.collection.generic library .
I have also taken the time to get a better understanding of
our main learning outcomes wherein the the flocking can be done in two ways.
Firstly, the flocking AI can follow a leader and flock around it and Secondly
it can be based around an average position of al the AI in the flock.
The second part of the flocking would be the strategic AI
wherein multiple agents work together to achieve a certain goal which sounds
simple enough from my point of view at this time.
The third learning outcome is mesh deformation where in we
need to show understand the understandings of the topic. It is the learning
outcome I had most concerns about as it was a topic I didn’t understand but the
the summer break I was able to do sufficient research on it and get a fairly
well understanding of it.
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