Suggested topics for the students' term papers
We tackle many different problems here on Physics of Risk. Thus we can offer few different topics for students looking for supervisors and interesting topics for their term papers.
We tackle many different problems here on Physics of Risk. Thus we can offer few different topics for students looking for supervisors and interesting topics for their term papers.
In the last year we have already written that work in the context of Physics of Risk provides varying insights into very different complex systems. The previous article [1] contained brief review of Physics of Risk platform and discussions on some of the models published using it. This article received great response and was even awarded the Best Paper Award by the publisher IARIA.
"What's inside my head?" asks internet meme on the https://memebase.cheezburger.com/. Answer appears to rather simple and complex at the same time - nature is a fractal! By the way did you know that surface of the human brain has a fractal, Hausdorff, dimension of 2.79? This actually means that human brain is neither 3D, nor 2D object.
Recently the largest Lithuanian anime community has launched its 2011 anime awards. In context of Physics of Risk I have found one very interesting nominee - Fractale. It is nominated as the best adventure and best science fiction anime of the year, though so far it is far behind the leaders.
First thing each viewer see is memorable opening sequence, which is rich of strange patterns and fractals. The view is nice, interesting and very sophisticated.
In mathematics and computation theory there are a class of cellular automatons which are known as elementary automatons. This class of cellular automatons is restricted to the one dimensional grid (in the figures below the second dimension, ordinate (vertical) axis, is time) with cells either on or off. Another important simplification is that the actual state of the cell at given time, \( x_{i,t} \), depends only on the previous state of the same cell and the previous states of its immediate neighbors, i.e., on \( \{x_{i-1,t-1},x_{i,t-1},x_{i+1,t-1}\} \). Due to these restrictions and simplifications, generally speaking cellular automatons might evolve in the infinite dimensions, have infinite neighborhoods and have limitless number of possible cell states, these cellular automatons appear to be very simple, though as we show below they can replicate very complex and even chaotic behavior.