I'm new at NetLogo. I'm not new at agent-based modeling. Now and then I see people saying NetLogo is so fun and easy that I'm giving it a try.
I'm stuck at square 1, can't figure out code for messaging between agents, scheduling actions for subsets of agents, other basic ABM things.
I'm working on a majority rule election model in which the turtles are voters with randomly placed x,y coordinates. Candidates (a new breed) make promises in x,y plane, the winning candidate is the one preferred by (closer to) more agents.
The patches play no role at all, except the spatial graph seems to require use of a grid
I'm having trouble in the updating of candidate positions. I conceived this as follows: Remove a 'winner' agent from the candidate agentset, tell the other candidates to adjust, then put the winner back in the agent list and see who wins in the next time.
I believe the following is close to minimum reproducible example. Please look at adjustOfferings. (Sorry, I left in a lot of show statements, otherwise can't tell what's going on.)
; Paul Johnson
; 20160801
breed [candidates candidate]
globals[
N
D
]
; turtles are voters, Euclidean-based preferences. Use
; built-in 2d coordinates for ideal points for now,
; need to learn how to create weighted multi-dimensional
; preferences later
turtles-own
[
name
]
to setup
ca ; clear all
reset-ticks ; time start 0
set N 100
; N voters with random x,y ideal points
create-turtles N
[
setxy random-xcor random-ycor
]
set D 2
create-candidates D
[
setxy random-xcor random-ycor
set shape "square"
set size 2
]
end
; collect up the votes. Don't worry about invading agent
; privacy, just measure for them
to-report election2 [choices]
let fave [min-one-of choices [distance myself]] of turtles
report fave
end
; Ask all non winners to adjust their offering
to adjustOfferings [winner]
show (word "in adjustOfferings, winner was: " winner)
let losers candidates with [self != winner]
show (word "adjustOfferings losers are: " losers)
ask losers
[
setxy random-xcor random-ycor
]
end
; ask each voter for its favorite,
; use modes to calculate the winner
to electionCycle
let theVotes election2 candidates
show (word "electionCycle: " theVotes)
let winner modes theVotes
show (word "electionCycle Winner: " winner)
adjustOfferings winner
end
to go
tick
if ticks > 1000
[
stop
]
electionCycle
end
The setup works fine, I see agents and candidates. When I hit the "Step button", I can see the election works, a winner is selected, but all candidates adjust (not just losers). Here's the console:
observer: "electionCycle: [(candidate 100) (candidate 101)
(candidate 101) (candidate 101) (candidate 100) (candidate 101)
[snip]
(candidate 100) (candidate 101)]"
observer: "electionCycle Winner: [(candidate 100)]"
observer: "in adjustOfferings, winner was: [(candidate 100)]"
observer: "adjustOfferings losers are: (agentset, 2 turtles)"
Appears to me this is the source of error:
let losers candidates with [self != winner]
The winner is still in losers after that.
I realize now you can't actually run this without the rest of the NetLogo file. What is your custom here for providing the fully runable example? Can I point you at a file on a website? http://pj.freefaculty.org/scraps/majority.nlogo. I could put this in GitHub or someplace else if you prefer.
I appreciate your advice.