How do I find find out probability of Y occurring depends on both X1 and X2 in Netlogo? Y , X1 and X2 are turtle variables - netlogo

Question

I have specifically two questions:
How do I find out the probability of leadershipactivation depends on both leaderactivation and othersperception.
How to I find out that the probability of leaderactivation depends on motivation (condition motivation > 3.32), selfschemata (selfschemata >7) and neti (social factors, neti>0) at a particular time.
'''
globals [taskdemand ;; the taskdemand of the turtles
percent-LA;
percent-LP;
percent-LI;
probLA;
probLP;
probLI;
err;;
;percent-LIr
;percent-aLAnLp
;percent-nLALp
;percent-LALP
;percent-nLAnLP
]
turtles-own [
motivation ;;motivation to lead of each turtle
selfschemata ;; self-schemata of each turtle
status ;;status of each turtle
others;;agentset of agents within same group
;;teammates;; agentset of teammates
othersactivation;; othersactivation computes leaderactivation of each turtle within the group of turtle
allothers;;agentset of all other agents within the collective
neti;;neti computes socialfactors and taskdemand of each turtle
x;;x is prospective leader's perceived characteristics
y;;y is perceivers ILT for various dimensions
othersperception ;; leadershipperception of all other turtles in collective level
leaderactivation;;leader self-schema activation
leadershipperception;; leadershipperception of each turtle in relational level
leadershipactivation;; leadershipactivation in a collective level
leadershipactivationr;;
mygroup;; group of turtles
LA?;;
aLA?;;
aLP?;;
aLi?;;
aLir?
aLAnLp?
nLALp?
LALP?
nLAnLP?
]
to setup
clear-all; clears ticks, patches, plots
ask patches[ set pcolor white];;blank background
crt 100 [
setxy random-xcor random-ycor
set shape "person"
set motivation random-normal 3.32 0.75;;motivation to lead is normally distributed with mean 3.32 and standard deviation 0.75
set selfschemata (random 11) + 1 ;;sets selfschemata 1 to 11
set status random-normal 4 0.49 ;;status is normally distributed with mean 4 and standard deviation 0.49
set leaderactivation random 1 ;;sets leaderactivation values 0 to each turtle (self-schema activation, individual level)
set leadershipperception random 1 ;; sets leadershipperception values 0 to each turtle (relational level)
set neti random 1 ;;sets neti values 0 to each turtle, neti calculates the social factors
set othersactivation random 1 ;;sets each turtles, othersactivation (i.e., leaderactivation) value in a group to 0
set othersperception random 1;;sets othersperception values 0 to each turtle
set leadershipactivation random 1;; sets leadershipactivation values 0 to each turtle (collective level)
set leadershipactivationr random 1;;
set others no-turtles
set allothers no-turtles
if ( status > 4) OR (status = 4)[set color blue]
if ( status < 4)[set color red]
set x n-values 5 [random 1];; setting random values 0 or 1 for 5 dimensions of prospective leader's perceived characteristics
set y n-values 5[random 1];;perceiver's ILT for various dimensions
set mygroup -1
]
assign-by-size
set taskdemand [0.1 0.9]
set err random-normal 0 0.01;;setting error with mean 0 and standard deviation 0.01
reset-ticks
end
to assign-by-size
let unassigned turtles
let current 0
while [any? unassigned]
[
;; place a randomly chosen set of group-size turtles into the current
;; group. or, if there are less than group-size turtles left, place the
;; rest of the turtles in the current group.
ask n-of (min (list group-size (count unassigned))) unassigned
[ set mygroup current ]
;; consider the next group.
set current current + 1
;; remove grouped turtles from the pool of turtles to assign
set unassigned unassigned with [mygroup = -1]
]
end
to go
if ticks >= 300 [ stop ]
ask turtles [
if (mygroup != -1) [leader-activation] ;; individual level
if (mygroup != -1) [ checksocialfactors] ;; individual level
if (leaderactivation > 2) OR (leaderactivation = 2) [ set x n-values 5 [random 2]]
if (mygroup != -1) [ ilt-match];;relational level
ifelse (leaderactivation > 2) OR (leaderactivation = 2)[ set leadershipperception leadershipperception ][set leadershipperception 0]
if (mygroup != -1) [set leadershipactivationr leadershipperception + leaderactivation]
if (mygroup != -1) [collectivelevel];;collective level
if (mygroup != -1)[set leadershipactivation othersperception + leaderactivation]
]
update-variables
tick
end
to leader-activation ;; leader activation at the individual level
ifelse (motivation > 3.32) OR (motivation = 3.32) [set leaderactivation leaderactivation + 1 ][set leaderactivation leaderactivation + 0]
if (selfschemata > 0) AND (selfschemata < 5)[set leaderactivation leaderactivation + 0]
if (selfschemata > 4) AND (selfschemata < 8)[set leaderactivation leaderactivation + 0.5 ]
if (selfschemata > 7) AND (selfschemata < 12)[set leaderactivation leaderactivation + 1 ]
ifelse (status > 4) OR (status = 4) [set leaderactivation leaderactivation + 1][set leaderactivation leaderactivation - 1]
show leaderactivation
end
to checksocialfactors ;; turtle procedure to check social factors of the turtles
find-others
if any? others
[ find-others-activation
find-othersactivation-and-taskdemand
let lachange 0
let s (1 - leaderactivation) * neti
let t (leaderactivation + 0.2) * neti
ifelse (neti > 0) [set lachange lachange + (0.4 * s) - (0.1 * leaderactivation)] [set lachange lachange + (0.4 * t) - (0.1 * leaderactivation)]
set leaderactivation leaderactivation + lachange
ifelse (leaderactivation > maxleaderactivation)[ set leaderactivation maxleaderactivation][set leaderactivation leaderactivation]
]
end
to find-others ;; turtle procedure to find others in the group
set others other turtles with [mygroup = [mygroup] of myself]
end
to find-others-activation ;; turtle procedure to find others activation in a group
set othersactivation sum [leaderactivation] of others
end
to find-othersactivation-and-taskdemand
set neti othersactivation + 0.1 + err
end
to ilt-match ;; turtle procedure to match prospective leader's perceived characteristics and perceiver's ILT for various dimensions using hamming distance
find-others
find-yothers
let d 0
let xn 0
let yn 0
let x1 0
let y1 0
let n 1
while [n < 6];; there are 5 values
[ set x1 item xn x
set y1 item yn y
set n n + 1
if (x1 = y1) [ set d d + 0 ]
if (x1 > y1) [ set d d + (x1 - y1) ]
if (y1 > x1) [ set d d + (y1 - x1) ]
]
ifelse d <= 2
[ set leadershipperception leadershipperception + (5 - d)]
[ set leadershipperception leadershipperception + 0]
end
to collectivelevel
find-others
if any? others[
set othersperception sum [leadershipperception] of others
]
end
to find-yothers
if any? others[
set y n-values 5[random 2]
]
end
to update-variables
update-turtles
update-globals
end
to update-turtles
ask turtles[
if(leaderactivation > 2) [ set aLA? 1]
if(leadershipperception != 0) [ set aLP? 1]
if(leadershipactivation > 2) [set aLi? 1]
; if(leadershipactivationr > 2) [set aLir? 1]
;if(leaderactivation > 2) AND (leadershipperception = 0) AND (leadershipactivationr > 0)[ set aLAnLp? 1]
;if(leaderactivation < 2) AND (leadershipperception != 0) AND (leadershipactivationr > 0)[ set nLALp? 1]
; if(leaderactivation > 2) AND (leadershipperception != 0) AND (leadershipactivationr > 0)[ set LALP? 1]
;if(leaderactivation < 2) AND (leadershipperception = 0) AND (leadershipactivationr > 0)[ set nLAnLP? 1]
]
end
to update-globals
set percent-LA (count turtles with [ aLA? = 1]) / (count turtles) * 100
set percent-LP (count turtles with [aLP? = 1]) / (count turtles) * 100
set percent-LI (count turtles with [aLI? = 1]) / (count turtles) * 100
set percent-LIr (count turtles with [aLIr? = 1]) / (count turtles) * 100
;set percent-LAmp (count turtles with [ LA? = 1 AND motivation = 1 AND priorexp = 1]) / (count turtles) * 100
set probLA (count turtles with [aLA? = 1]) / (count turtles)
set probLP (count turtles with [aLP? = 1]) / (count turtles)
set probLI (count turtles with [aLi? = 1]) / (count turtles)
;set percent-aLAnLp (count turtles with [aLAnLp? = 1]) / (count turtles) * 100
;set percent-nLALp (count turtles with [nLALp? = 1]) / (count turtles) * 100
;set percent-LALP (count turtles with [LALP? = 1]) / (count turtles) * 100
;set percent-nLAnLP (count turtles with [nLAnLP? = 1]) / (count turtles) * 100
end
'''