Week 3 : Back In Business...

Its the month of June, the year 2020. It was a Saturday, I there was a design class that was going on from 12 pm - 3 pm. I thought not to attend it as it might cause confusion among my teammates and my self regarding whos team i belong to.

It was the next day, a bright summer Sunday, I was up and ready start doing my job. finished up a few tasks and started learning some game design theory from YouTube. it was 3pm, joined the online class. it was facilitation session I was assigned my team, the previous team it was, with a minor change; inclusion of Jumma.

I was listening to the meeting and was trying to get the picture of what's going on. And It looks like random thing are chosen and thrown on to the plate with out a second thought, most of all which was done to please every once idea. Anyway, the sprint sheet was set and I chose simple state based AI behaviors for my weeks task. And the class was over.

The next day, It was Ahmad's class. he enquired us about the pathfinding algorithm and are we clear about it. he as some of us to detail how it was done and what's the difference between the Dijkstra and A* pathfinding algorithm and my answer was that Dijkstra does not cares about the direction of the node while A*'s optimization comes for it giving more priority to the nodes falling close to the optimal path which is a straight line drawn from start to the end.

Then he moved on to teaching us how to and what are the principles behind the working of Flocking behavior. the concept is something that enables and resembles the behavior of flocking or grouping patterns found in nature. The flocking is governed by the presence of three parameters

Cohesion : the parameter which governs and finds a collective center for a group in the view point of a boid.

Alignment : alignment is the were from the perspective of a boid and average group velocity and direction is deduced from its immediate boids,

Separation : this is the pushback vector that is calculated by finding how close are the other boids and is used to avoid the collision among them.

After that he gave us a recap on the steering behaviors and asked us to come up with a simple implementation of the flocking behavior, I managed to do it quick and this is how it looked in the end.