Math 326 Project 2a- Rock, Scissors, Paper - due 11/20

Rock, Scissors and Paper are being released in a gladiatorial arena.  Here are the competitor profiles:

ROCK

Scissors
Paper
The three competitors begin spread about the arena, at coordinates (0,0), (100,0) and (50,86).  While chasing, each time step the warriors move toward their prey a distance equal to its chase speed times the time step.  In addition, when Rock is within the Flee Radius of Scissors, Scissors will run away from Rock at his Flee Speed.  Paper mostly chases Rock, but 1 out of every 5 seconds he must follow the wind.

A capture occurs when one warrior manages to get within 3 of its prey.  The winner of the contest is the competitor who makes the first capture.  If several get within 3 at the same time, the closest to their prey wins.

Since the chase has a random element (wind direction), the winner won't always be the same. Record the winners at least 20 different chases.

Some tips and other notes:
- To update the x and y coordinates of each warrior, it is easiest to use the unit vectors pointing from a warrior to his prey and predator (rather than angles).
- For the wind direction, you can use 2*PI()*RAND() to generate a random angle between 0 and 2pi.  Then SIN and COS can be used to convert this angle into a unit vector.  Since both components of the unit vector should depend on the same angle, the angle should have its own column.
- There are many details in this project.  You will need to be efficient in your descriptions and use of space to stay on two pages. For example, the x and y coordinates for each warrior are updated in similar ways. You don't need to describe it six separate times. Just describe one and then point out that they all are similar.

Your written report should be no more than two pages in length, and should contain the following:
  • Description of the problem: Be sure to include any assumptions you've made, and be specific.
  • Description of the model: Introduce notation and variables you will be using. Focus on the interaction of the variables, how they are updated.
  • Data and results: Provide a summary of your results. How often does each competitor win? Include a graph or table supporting your findings.
  • Closing: Here you could briefly summarize the problem and your results, or include possible improvements and other comments about your model.