New Mexico AIS Challenge
SER/SFPS Career Academy
We feel that we have been successful in that this model works and that it is a good start to more complex and more beneficial models. We feel this was a good way to display how breast cancer is spread throughout a population. This takes into account the factors reflecting population genetics in that we examine mutation and the inheritance of gene. All in all, this model effectively shows that the larger a population the slower the inheritance of the breast cancer gene. Breast cancers spread is affected by mutation and genetic drift. Our greatest accomplishment was completing a successful Star Logo computational model. Within the model the greatest accomplishment was developing and writing the code. We feel that this part of the code was the hardest part to write… to reproduce :mom :dad ; parameters passed in the reproduce call

if (age > 19 and age < 40)

[ifelse (random 2) = 0 [let [:gA1 A1-of :mom]] [let [:gA1 A2-of :mom]]
ifelse (random 2) = 0 [let [:gA2 A1-of :dad]] [let [:gA2 A2-of :dad]]
hatch
[set age 0 set A1 :gA1 set A2 :gA2
ifelse (random 2) = 0
[set breed male setshape 12 setc 107]
[set breed female setshape 13 setc 17]
if (random 400) = 0
[mutation]
]
]
end


We feel that this was hard because we had to understand and use parameters and locals. Which neither of us had ever seen before.


Introduction Table 1 Problem Definition Problem Solution Results
Table 2 Figure 1 Conclusions Recommendations Acknowledgments