# NetLogo - random listing to identify turtles in the vicinity

I would like to get the sum of specific weights only in patches with turtles present in the respective Moore area. My approach is to work out the sum of products between a list of weights and a list of binary variables. I created a list of weights in the neighborhood for each patch

``````Let weight_list [ 1 2 3 4 5 6 7 8]; weights of the moore neighborhood for specific patch
```

```

Then I created a list with a binary variable (1 if the turtle is present in the adjacent patch, 0 otherwise),

``````ask patches with [  any?  turtles-here ]   [let turtle_present 1 ]
ask patches with [ not any? turtles-here]  [let turtle_present 0 ]
ask patches[ set binary_list  [ turtle_present ] of neighbors ]
```

```

I tried to multiply this binary_list with their respective weights and get the sum for example. `sum (binary_list * weight_list)`

My problem is that binary_list is sorting randomly. For example. if I have 2 turtles in the neighborhood, the list may show  or . This randomness prevents me from multiplying with their respective weights. This may be a silly question, but I'm a relatively new NetLogo user. I would appreciate any help, thanks

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Definitely not a stupid question. Working with sorted lists of agents usually requires a bit of a workaround, and it's not always particularly intuitive.

If you sort the patches, they will come out sorted in the upper left corner, filling the lines from left to right. So consider this for `weight-list`

. Since we cannot query the lists to do things the way we can with agents, we will need to iterate over the list using `map`

, asking each patch to report its neighbors.

There are several different ways to do this, but my suggestion would be to write a reporter according to this:

``````to-report neighbor-list
report map [[ifelse-value any? turtles-here ] of ?]
sort neighbors
end
```

```

At this point, you can simply ask the patch (or the turtle, since they have direct access to their "patch variables") for their neighbor list, and it will send you a list of 1s and 0s in sequential order.

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