So I'm writing a stochastic dynamic program on decision-making based on two informational states about 2 patches to forage in. So the observer can watch a demonstrator and update an informational state on the quality of a patch. The probability of going to patch 1, p, is based on the difference between the info state of patch 1 and info state of patch 2, which changes with every time step. How do I make sure that it's calling the right numbers to compare?
The probability of going to a patch is dependent on an element in a matrix that I've made (i.e. info on patch 1<patch 2 go to patch 1 with 10%prob, info on patch 1>patch 2 go to patch 1 with 90%prob, info on patch 1=patch 2 go to patch 1 with 50%prob)
I have a matrix full of the differences between all possible values and I'm trying to use a specific element of the matrix to give this 'p' variable a value. I'm basically trying to write "if the element of matrix M, depending on the current value of z and y (that are modified by an equation), is greater than 0, then p = 0.9"
Does this make sense? p is dependent on the matrix element, but the matrix element depends on the specific fitness equation chunk it's being used for
p(y(j),z1(k))*(n1*Fd(xp(:,i),zp(j),y(k),tt+1) + (1-n1)*Fd(xpp(:,i),zpp(j),y(k),tt+1))+...
