Shared Narrow Reflective Equilibrium

No preview image

1 collaborator

Tags

(This model has yet to be categorized with any tags)
Visible to everyone | Changeable by the author
Model was written in NetLogo 6.1.2-beta2 • Viewed 126 times • Downloaded 8 times • Run 0 times
Download the 'Shared Narrow Reflective Equilibrium' modelDownload this modelEmbed this model

Do you have questions or comments about this model? Ask them here! (You'll first need to log in.)


Comments and Questions

Please start the discussion about this model! (You'll first need to log in.)

Click to Run Model

extensions [matrix]
globals [
  total-cases
  global-rule
  equilibria-upper-bound
  equilibria-lower-bound
]
turtles-own [
  rule
  accept
  reject
  ignore
  turtle-tolerance
  current-rule
  test-case
  initial-rule
  turtle-cases
  turtle-disposition
]

breed [randos rando]
breed [peelers peeler]
breed [shelvers shelver]
breed [tol-changers tol-changer]
breed [rule-changers rule-changer]

to setup
 clear-all
  ifelse primed? [set total-cases (primed-intuitions (possible-cases rule-length))] [set total-cases (assign-intuitive-random (possible-cases rule-length))]
  ifelse global-shuffle [set total-cases shuffle total-cases] [set total-cases total-cases]
  set global-rule []
  repeat rule-length [set global-rule fput random 2 global-rule]
 crt 10 [
    if agent-type = "randos" [set breed randos]
    if agent-type = "peelers" [set breed peelers]
    if agent-type = "shelvers" [set breed shelvers]
    if agent-type = "tol-changers" [set breed tol-changers]
    if agent-type = "rule-changers" [set breed rule-changers]
    set test-case [] ;; this will be the case that an agent is considering
    ifelse rule-shuffle [set rule shuffle global-rule] [set rule global-rule]
    set current-rule [] ;; distinguishing between the agent's rule and its current rule. This helps avoid accepting changes that should be rejected (and vice versa).
    set accept []
    set reject []
    set ignore []
    set turtle-tolerance tolerance
    set initial-rule rule
    ifelse agent-shuffle [set turtle-cases shuffle total-cases] [set turtle-cases total-cases]
    set turtle-disposition disposition
  ]
  set equilibria-upper-bound upper-bound
  reset-ticks
end 

to-report possible-cases [howbig] ;; universe of possible cases. generates a list of lists of 1's and 0's for a given list size
  let universe [[]]
  repeat howbig [
    let old-u universe
    let new-u []
    while [not empty? old-u] [
      let new-case1 item 0 old-u
      let new-case2 item 0 old-u
      set new-case1 fput 0 new-case1
      set new-case2 fput 1 new-case2
      set new-u fput new-case1 new-u
      set new-u fput new-case2 new-u
      set old-u remove-item 0 old-u
    ]
    set universe new-u
  ]
  report universe
end 

to go
  ask turtles [
    set-rule
    ifelse not empty? turtle-cases [get-case-uni] [get-case-ignore]
    do-test
  ]
  if length reduce sentence [turtle-cases] of turtles = 0 and length reduce sentence [ignore] of turtles = 0 [
    final-measures
    stop]
  tick
end 

to get-case-uni
    set test-case item 0 turtle-cases
    set turtle-cases remove-item 0 turtle-cases
end 

to get-case-ignore
  ifelse not empty? ignore [
    set test-case item 0 ignore
    set ignore remove-item 0 ignore
    set test-case fput "NI" test-case]
  [setxy xcor + .1 ycor + .1] ;; some agents sort their lists before others, and this procedure gives them something to do in case they're waiting for the others
end 

to final-measures
  set equilibria-lower-bound length remove-duplicates [rule] of turtles
  let temp-upper []
  ask turtles [
    let case-thr-pair [ ]
    set case-thr-pair fput turtle-tolerance case-thr-pair
    set case-thr-pair fput current-rule case-thr-pair
    set temp-upper fput case-thr-pair temp-upper
  ]
  set equilibria-upper-bound length remove-duplicates temp-upper
end 

to-report upper-bound ;; convenience reporter for interface plot
  let temp-upper []
  ask turtles [
    let case-thr-pair [ ]
    set case-thr-pair fput turtle-tolerance case-thr-pair
    set case-thr-pair fput current-rule case-thr-pair
    set temp-upper fput case-thr-pair temp-upper
  ]
  report length remove-duplicates temp-upper
end 

;;NI -- not intuitive, IA -- intuitive accept, IR -- intuitive reject

to-report assign-intuitive-random [all-cases]
  let temp []
  let NI-cases []
  let IA-cases []
  let IR-cases []
  foreach all-cases [ ac ->
    let value random 100
    ifelse value >= I-NI-ratio [
      set ac fput "NI" ac
      set NI-cases fput ac NI-cases  ][
      set ac fput one-of ["IA" "IR"] ac
      ifelse item 0 ac = "IA" [set IA-cases fput ac IA-cases][set IR-cases fput ac IR-cases]
    ]
  ]
     report reduce sentence (list IA-cases NI-cases IR-cases)
end 

to-report primed-intuitions [all-cases] ;; strategy is to generate a list of intuition labels and then assign them to strings meeting particular conditions
  let temp []
  let tempIA []
  let tempIR []
  let tempNI []
  repeat round ((I-NI-ratio / 100) * (2 ^ rule-length)) / 2 [set tempIA fput "IA" tempIA] ;; IA's to assign
  repeat round ((I-NI-ratio / 100) * (2 ^ rule-length)) / 2 [set tempIR fput "IR" tempIR] ;; IR's to assign
  let tl (length tempIA + length tempIR)
  repeat (2 ^ rule-length) - tl [set tempNI fput "NI" tempNI] ;; NI's to assign
  let subIA [] ;; to pick out strings to be tagged as IA
  repeat cond [set subIA lput 1 subIA]
  let subIR [] ;; to pick out strings to be tagged as IR
  repeat cond [set subIR lput 0 subIR]
  foreach all-cases [ac ->
    if (subIA = (sublist ac (length ac - cond) (length ac))) and not empty? tempIA [set ac fput "IA" ac set tempIA but-first tempIA]
    if (subIR = (sublist ac (length ac - cond) (length ac))) and not empty? tempIR [set ac fput "IR" ac set tempIR but-first tempIR]
    if item 0 ac != "IR" and item 0 ac != "IA" [set ac fput "NI" ac ]
    set temp fput ac temp]
  report temp
end 

to set-rule
  set current-rule rule
end 

to do-test
    ifelse ((item 0 test-case) = "NI") [check-non-intuitive-case ] [check-intuitive-case]
end 

to-report matchy-matchy [r c]
  let z (map [[i j] -> i = j] r c) ;; get matches between rule and case
  report (length (filter [i -> i = true] z) / length r) ;; how many matches out of total number of possible matches
end 

to check-non-intuitive-case
  ifelse matchy-matchy current-rule but-first test-case >= (1 - turtle-tolerance) [
    set accept fput test-case accept  ] [
    set reject fput test-case reject  ] ;;accept or reject relative to tolerance
end 

to check-intuitive-case
ifelse item 0 test-case = "IA"[
    ifelse matchy-matchy current-rule but-first test-case >= (1 - turtle-tolerance) [set accept fput test-case accept ] [ deliberate ]
  ]
  [
    ifelse matchy-matchy current-rule but-first test-case >= (1 - turtle-tolerance) [deliberate ] [ set reject fput test-case reject ]
  ]
end 

to deliberate
  if breed = peelers [ ifelse random 100 < turtle-disposition  [ peel ] [ pick-one ] ]
  if breed = shelvers [ ifelse random 100 < turtle-disposition [ do-ignore ] [pick-one ] ]
  if breed = tol-changers [ ifelse random 100 < turtle-disposition [ change-tolerance ] [ pick-one ] ]
  if breed = rule-changers [ ifelse random 100 < turtle-disposition [ change-rule ] [ pick-one] ]
  if breed = randos [ pick-one ]
end 

to peel
  set test-case but-first test-case
  set test-case fput "NI" test-case
  check-non-intuitive-case
end 

to do-ignore
  set ignore fput but-first test-case ignore
end 

to change-tolerance
  ifelse item 0 test-case = "IA" [
    let needed-tol precision (1 - (matchy-matchy current-rule but-first test-case)) 4 ;; this is the turtle-tolerance needed to accept the test case.
    let temp-reject item 1 (check-cases reject current-rule needed-tol) ;; these are the cases from the reject bin that are still rejected with the new tolerance level
    ifelse length temp-reject = length reject [ ;; if these lists are the same length
      set turtle-tolerance needed-tol ;; change the tolerance to the needed tolerance
      set accept fput test-case accept] [
      set ignore fput but-first test-case ignore ]
  ][
    let needed-tol precision ((1 - (matchy-matchy current-rule but-first test-case)) - 0.01) 4
    let temp-accept item 0 (check-cases accept current-rule needed-tol)
    ifelse length temp-accept = length accept [
      set turtle-tolerance needed-tol
      set reject fput test-case reject] [
      set ignore fput but-first test-case ignore ]
]
  if turtle-tolerance < 0 [set turtle-tolerance 0]
  if turtle-tolerance > 1 [set turtle-tolerance 1]
end 

to change-rule;; strategy is to find how many sites need changing and then choosing sites to be changed
  let gap precision ((1 - turtle-tolerance) - (matchy-matchy but-first test-case rule)) 2 ;; find the gap between my threshold and the rule/case match.
  let needs-changing 0
  ifelse gap > 0 [ set needs-changing ceiling (length current-rule * gap)] [set needs-changing abs (floor (length current-rule * gap) - 1)] ;; identifies number of sites needing changing
  ifelse item 0 test-case = "IA" [
    let a current-rule
    let b but-first test-case
    let zz (map [[i j] -> i = j] a b ) ;; find where there are matches and misses
    let locations list-locations false zz  ;; get the indices of the misses
    let spot []
    if needs-changing > length locations [set needs-changing length locations]
    ifelse coordinated-change [set spot sublist locations 0 needs-changing] [set spot up-to-n-of needs-changing locations] ;; set places to change the rule
    foreach spot [s ->
      ifelse item s current-rule = 0 [
        set current-rule remove-item s current-rule
        set current-rule insert-item s current-rule 1 ] [
        set current-rule remove-item s current-rule
        set current-rule insert-item s current-rule 0]
    ]
    let temp-accept item 0 (check-cases accept current-rule turtle-tolerance) ;; these are the cases from the accept bin that are still accepted with the new rule
    ifelse length temp-accept = length accept [ ;; if these lists are the same length
      set rule current-rule
      set accept fput test-case accept] [
      set ignore fput but-first test-case ignore ]
  ]
  [
    let a current-rule
    let b but-first test-case
    let zz (map [[i j] -> i = j] a b ) ;; find where there's no match
    let locations list-locations true zz  ;; get the indices of the matches
    let spot []
    if needs-changing > length locations [set needs-changing length locations]
    ifelse coordinated-change [set spot sublist locations 0 needs-changing] [set spot up-to-n-of needs-changing locations]
    foreach spot [s ->
      ifelse item s current-rule = 0 [
        set current-rule remove-item s current-rule
        set current-rule insert-item s current-rule 1 ] [
        set current-rule remove-item s current-rule
        set current-rule insert-item s current-rule 0]
    ]
    let temp-reject item 1 (check-cases reject current-rule turtle-tolerance)
    ifelse length temp-reject = length reject [
      set rule current-rule
      set reject fput test-case reject] [
      set ignore fput but-first test-case ignore ]

  ]
end 

to pick-one
  let p random 4
  if p = 0 [ifelse breed != peelers [ peel ] [pick-one]]
  if p = 1 [ifelse breed != shelvers [ do-ignore] [pick-one]]
  if p = 2 [ifelse breed != tol-changers [ change-tolerance ] [pick-one]]
  if p = 3 [ifelse breed != rule-changers [ change-rule] [pick-one]]
end 

to-report hammy-matrix [h-list] ;; given a list of list of 0/1's, converts to
 ;; matrix with each cell specifying the hammy-distance, where 0 is least similar, and 1 is most similar
  let l length h-list
  let m matrix:make-constant l l 9
  let i 0
  repeat l [
    let j l - i
    let r (range (l - j) l)
    foreach r [ k ->
      let case-i item i h-list
      let case-k item k h-list
      set case-i butfirst case-i ;; this strips the "I" or "NI" marker at the beginning of the case
      set case-k butfirst case-k
      let cell-value matchy-matchy case-i case-k
      matrix:set m i k cell-value
    ]
    set i i + 1
  ]
  report m
end 

to-report width-of-case-list [c-list] ;;finds the min value in a hammy-matrix, which represents the least similarity between two cases
  let m "empty"
  if not empty? c-list [
    set m min reduce sentence matrix:to-row-list hammy-matrix c-list
  ]
  report m
end 

to-report similarity-to-rule [r-rule c-list]
  let d [];;this will be the list of similarity distances between the rule and the cases, where 1 is perfect similarity and 0 is least
  let l length c-list
  let i 0
  repeat l [
    let case-i item i c-list
    set case-i butfirst case-i
    let v matchy-matchy r-rule case-i
    set d lput v d
    set i i + 1
  ]
  report d
end 

to-report rule-case-similarity
  let l []
  foreach (range 0 count turtles) [r ->
    let temp []
    set temp similarity-to-rule [rule] of turtle r [accept] of turtle r
    set l lput temp l]
  report l
end 

to-report accept-width-turtles
  let awl []
  set awl map width-of-case-list [accept] of turtles
  report awl
end 

to-report check-cases [list-of-list turt-rule turt-tol]
  let temp-accept []
  let temp-reject []
    foreach list-of-list [ a ->
      ifelse matchy-matchy turt-rule (but-first a) >= (1 - turt-tol) [
        set temp-accept lput a temp-accept  ] [
        set temp-reject lput a temp-reject
      ]
    ]
  report (list temp-accept temp-reject)
end 

to-report list-locations [an-item a-list]
  let temp []
   foreach (range 0 length a-list) [i ->
    if item i a-list = an-item [
      set temp lput i temp ]]
  report temp
end 

There is only one version of this model, created over 2 years ago by Anonymous Peer Review.

Attached files

File Type Description Last updated
NarrowReflectiveEquil_for_uploading.Rmd data R script for data analysis over 1 year ago, by Anonymous Peer Review Download
prim.csv data data for analysis in the body of the paper over 1 year ago, by Anonymous Peer Review Download
re_rule_overlap.csv data data for analysis in the index over 1 year ago, by Anonymous Peer Review Download

This model does not have any ancestors.

This model does not have any descendants.