AiS Challenge Team Abstract
Team Number: 038
School Name: Los Alamos High School
Area of Science: Computer Science and Mathematics
Project Title: A Novel New Idea for the Monte Carlo Simulation
The current, widely used form of accurate multiple particle
scattering simulation is the Monte Carlo technique. This method of
simulating the data is extremely time consuming, as each interaction of
a particle with the environment is evaluated and then passed on to the
next environmental condition. Since this method is extremely
computationally intensive our group has opted for a more practical,
simpler method. Ants. Yes, those nuisances that ‘steal you picnic
lunch’
can have a random generator as their brain. However, this
generator will not be totally random; instead, it will be weighted by
factors such as your apple, sliced open, pheromones
produced by other ants, divine intervention on our part, or “will it
end this random
generator‘s functionality?” (will the ant die?). The attractor
shall be
used mainly to test the ant‘s responsiveness, in the presence of
interfering factors. A pheromone trail would be laid down by a fellow
ant and another by us allowing us to see if we can interfere with the
ants response. The trail‘s strength could vary
until the ants stop following it. We will then examine the results
as ants are inhibited by other ants. This research could lead to a
better understanding of collective behavior and other emergent complex
behaviors that are derived from simple rules.
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