请问 我现在希望设计海龟死后他的财产可以以一定的比例留给后代。这些海龟如果代表的是穷人则它死后(年龄大预期值)会生出3个孩子,其生前的财产的90%均分给其孩子。若海龟是富裕的,其死后有随机1~2个孩子,财产已70%均分。请问大家如果加到下述程序中怎么实现* P' z4 t6 [5 U- z* r* \# f
globals
; T% G6 U j# m( a; m[
Z% `* D3 r0 h. { t max-grain 6 D$ q% K1 E. [" E; f6 ]9 _5 R8 x
\% m7 V! S, V9 P
]+ I! e, X; s( d7 z3 }
' O" b# e) `* J4 [1 M0 z- |8 H" D
patches-own8 E8 I* Z5 m7 q1 m
[( F/ F3 n7 \$ f* F( Z# J5 q6 x$ h1 I
grain-here " v7 k( o9 V" I9 d
max-grain-here ) h0 k6 |/ o6 A1 o; h" S% ?
]$ x m4 C4 ?: H; X$ n E& w
4 o' Z' d& q' w* p7 u
turtles-own
0 [5 O& D& V9 R- @[
, J% m0 Z3 o4 K' H age ! P; J! P+ F; Q& A
wealth
; q c7 v5 j' b9 ? life-expectancy % t% [% X2 h% ]
metabolism * z1 j4 l0 }1 x [. I! q
vision. k l9 F7 r2 O% ~ n. W# q
inherited * M; m8 n3 a0 B; c7 @: @
]5 @! \+ O; K& }2 y
6 v( z, y& I( f B* Z
; W. x% r, Y# }" i& E5 h& r$ `to setup
% g7 u; M6 j) M0 ^5 v/ F! c- l5 x ca
: R7 @1 s; [( b8 J: N9 ] set max-grain 50
- |) d; h5 L% `. i7 U+ w% G setup-patches
7 P( m: g( g% `! @# `8 g: L setup-turtles
/ u' ]( D4 ~' q9 } setup-plots4 a) b2 l2 }" e# p3 d4 w4 l) I6 N
update-plots
' W% B1 ~8 G% z! N+ B1 E, t4 L4 k mend* s! z8 q) g/ z" Y
to setup-patches
F3 b. K9 u6 @/ ?# f ask patches$ o% u1 b% u3 A. Q
[ set max-grain-here 0% n# |9 g: @8 q1 J, c% U- X. y" v5 ?
if (random-float 100.0) <= percent-best-land& I: L! E5 N! l s4 O
[ set max-grain-here max-grain
: n0 K! e5 y* T) O. P set grain-here max-grain-here ] ]
' G# ]3 m( X+ C: m1 R repeat 5
, q% o) ?9 Q3 M& M [ ask patches with [max-grain-here != 0]0 e% ^% t+ d3 f& _8 R/ R3 ^
[ set grain-here max-grain-here ]
* ^& \" `( G6 J4 y2 f diffuse grain-here 0.5 ]3 b2 [0 z5 ^. R: X3 P
repeat 10
$ p% {. \) Z [7 x. l4 r" m, C- I2 H [ diffuse grain-here 0.5]
/ m' s* x: }# g" H5 w ask patches
; T, Q: l U3 O2 Z7 k [ set grain-here floor grain-here
/ F2 p* Z+ C! ?* }+ Q set max-grain-here grain-here 5 J3 z- K* C7 P B! t. E
recolor-patch ]; ]! p4 a- B$ Z5 G% @
end
( I% T* O! `, g# C, V. ~to recolor-patch " l7 }4 a& x$ j8 ?% j/ b3 i. h
set pcolor scale-color sky grain-here 0 max-grain+ c, d; t% Z ~2 ]
end8 _- n1 y! F# [# N: j
to setup-turtles
. C5 ~3 T# T" Y7 P set-default-shape turtles "person"
: P; i% x; |1 C9 X. O w6 P crt num-people; g" y% e/ W" h8 c& K q; J
[ move-to one-of patches
" M, W( L- }2 e) Z9 m set size 1.5 9 s# g0 |/ L; ~, u8 S" E1 K
set-initial-turtle-vars-age; l# o- v* E- X# w0 \$ s" n6 T
set-initial-turtle-vars-wealth
, h3 e* ^7 j$ m9 {# {6 \0 J set age random life-expectancy ]
& t! e/ B) B- J n% Z) i recolor-turtles( v- B, H9 ]* w
end
2 f* L( @6 i, x* C3 u9 p; S/ U2 {+ E c I6 b5 H, d2 B- j$ b
to set-initial-turtle-vars-age
" t, ]- f# U" k# z" b% Z8 n let max-wealth max [wealth] of turtles
" @- L; e- D" O& l
6 g& g& S! |% b1 b ifelse (wealth <= max-wealth / 3)) G) c2 v6 ?: `% \% y4 e3 n
[ set color red
) b% r* p v7 m7 W set age 0
, i# j3 I2 ?) [/ p# X1 ` face one-of neighbors4
6 w0 ^ h4 t- r. i% b6 U set life-expectancy life-expectancy-min +
* G4 [. Q+ W1 b2 z) I4 m/ } random life-expectancy-max 3 e9 h8 _6 c+ B" \: z
set metabolism random 1 + metabolism-low2 t( V: t# L. k& I$ u: P
set wealth metabolism + random 303 y% o) S4 E: k# \, M" y5 M- ]: f
set vision 1 + random max-vision
8 i7 @2 T! [7 l set wealth wealth + Wealth-inherited-low ]
' e' }9 s: @* Q [ ifelse (wealth <= (max-wealth * 2 / 3))4 d6 J% w* S! z* u' O' s
[ set color yellow " a; |* e1 V8 F1 X) k( v k! x6 {
set age 0$ A q P! @/ _0 M
face one-of neighbors4 " L% Z5 M4 W0 {. M5 m7 E/ q4 y
set life-expectancy life-expectancy-min +9 w. b: a( y: Z: A1 r
random life-expectancy-max + 1
3 J: x. q2 G6 O8 p/ E. n set metabolism 1 + random metabolism-mid3 R+ n. ~" f: i" m
set wealth metabolism + random 30
) g' m5 v# C2 X4 m+ @ set vision 3 + random max-vision
1 {5 }( m6 b G4 b; [- U6 { set wealth wealth + Wealth-inherited-mid]
& w" p& {# ~4 ?8 |( [ [ set color green
' |) E- K6 ?: M6 t6 q- v2 a& M0 W2 ~, A set age 0: N! G8 c" o2 i' B1 L7 L! P
face one-of neighbors4
* }' D8 ]! r' x2 p4 o0 A, z set life-expectancy life-expectancy-min +
0 o+ K |, b7 d random life-expectancy-max + 2
2 a( [+ Y# G) ?. X' Q' m set metabolism 2 + random metabolism-up
% b. Y7 O/ l) x5 B% z! X T& ~ set wealth metabolism + random 30' o- U/ a/ W* \ E2 o- x
set vision 3 + random max-vision
' h& |) q/ b- Z) S set wealth wealth + Wealth-inherited-up ] ] ; b" e: e% @: J: t+ [# z
: M* }7 P: T: B- Jend/ ?+ Z/ P P! I0 z
to set-initial-turtle-vars-wealth7 [7 b# }, F! T# A
let max-wealth max [wealth] of turtles6 V7 y% u1 F8 R* ]* ^
set age 0
; w4 f5 S+ }7 @$ H face one-of neighbors4
% C& Q) q) F: G/ Y6 V' ^ set life-expectancy life-expectancy-min +
' S7 G) O6 X/ h random life-expectancy-max % v# a# p, R. n) U. c+ |
set metabolism 1 + random metabolism-up
l# w; s% E) b! s5 z set wealth metabolism + random 30: |, S8 y( L7 @: g/ N
set vision 1 + random max-vision ! w3 Z$ o3 y) X: o9 J
end
% M$ u: u5 D$ V7 y3 O6 Z: Sto redistribution2 F4 s7 k8 g( G# K& H
let max-wealth max [wealth] of turtles* P( P2 L+ k9 |$ l
let min-wealth min [wealth] of turtles4 D1 @$ H" l6 ?7 h
if (wealth <= max-wealth / 3)
7 n+ }3 F0 T7 C$ _: f [set wealth wealth + Low-income-protection ]! T; @3 P. [9 A w6 p. T1 U9 Y
end/ R9 k/ h; t% J6 _
3 Y, X* E! s, G5 Y8 \/ ~
to recolor-turtles
3 z2 M, B: ~4 E4 O( d let max-wealth max [wealth] of turtles, n X- o0 |/ l: d
ask turtles$ Y3 Q, S" v) a
[ ifelse (wealth <= max-wealth / 3)
8 n! i6 e1 d$ U: @+ _3 c [ set color red ]
3 q0 L9 y# G* {# t6 y. K% S$ p [ ifelse (wealth <= (max-wealth * 2 / 3))
0 \- J4 @. {% i4 k# I [ set color yellow ], i- q% [% R# E
[ set color green ] ] ]; m6 j0 N1 t: k @
ask turtles [ifelse show-wealth?' }. a) e6 R0 T
[ set label wealth ]7 W: F5 i$ I5 V2 v. X
[ set label "" ]]1 b! r! D$ l: Z ~
end! V: v, q% G+ R7 ^, c
, j7 ?( e0 V* W1 r& [5 ?to go
( h9 B0 L) w" B7 R* i4 M% U ask turtles, [) m' @7 n i) F! V/ g
[ turn-towards-grain ]
6 w( G! g( A& X* S5 Y# t harvest8 h7 l+ m5 u7 q9 N) X% ]
ask turtles2 }6 J {/ K: ?: P
[ move-eat-age-die ]) y, B9 f1 U4 E5 n
recolor-turtles
) @; E" S% K& F8 V if ticks mod grain-growth-interval = 07 J5 ^. q2 G) I
[ ask patches [ grow-grain ] ]
# R+ M# l" @2 E% E
7 k2 t5 n1 D6 V if ticks mod 11 = 06 A, c0 B7 P8 T# G2 d+ e+ Q P
[ask turtles
2 O2 R. F8 L4 ^: l; P1 E [ redistribution ]]
6 O) V* _5 V3 C& Z, T if ticks mod 5 = 0
( d' h( F3 j( h) m) F [ask turtles# z, p$ O+ _) e [
[ visions ]]- I% D* j% ?8 z1 s
tick
, _5 Z `1 e, x# R, L update-plots6 i( P( D( R: P
end& _3 o" D( N+ O- U
to visions
& Q4 ]3 _3 K) {- W set vision vision + 1 " b9 j7 A, m% u ]) K* P6 @9 Z
end
( A1 D% u1 D! j3 [. Z% U
; r5 _5 ^ E$ b1 g# C
. f; O. \) W+ ^4 ~ P% N, Q
1 B( q m3 ?- s7 Dto turn-towards-grain
- i' H4 B* `. Z$ K9 a5 m set heading 0; E0 C! k1 z2 [/ c$ q
let best-direction 0: E+ ^% `9 u9 z
let best-amount grain-ahead% G/ |9 j$ ]" a G
set heading 90
9 c; Y0 p. C. X- ]! _ if (grain-ahead > best-amount)) ]( k( h s4 I' J% r' U
[ set best-direction 90$ w+ w# j- b$ C3 H1 p+ q
set best-amount grain-ahead ]
' Z6 _3 X% j" E; m; C) { set heading 180 C8 ^, s, H6 q) \2 N6 q
if (grain-ahead > best-amount)/ d* w2 ^; r2 d2 p/ _
[ set best-direction 180
7 _3 u! K- F; h, s" V+ k+ E$ g, p$ f set best-amount grain-ahead ]
7 g: h9 O+ e2 v! q6 L, Y# [ set heading 270
# i9 B7 `( {. t) h6 q if (grain-ahead > best-amount): d! |1 a2 C" G8 ^, r0 e) D4 [, S
[ set best-direction 270
! [" v7 X7 Y y: |8 u Y set best-amount grain-ahead ]$ k3 ^' ~# E1 E8 t9 K" p1 V; r
set heading best-direction
2 W. @4 @! |- X: r+ |- z1 @end) \0 y% k) q$ _1 z! ^' z
8 [- E1 z: M @1 `. _
; L# ?1 R9 G R, B7 `, ]to-report grain-ahead
7 v+ M$ Y+ U4 Y4 `) b+ k let total 0
5 G, O5 C" b0 W: |5 \ let how-far 1* E( d. S9 s1 A4 w1 S6 b4 ]0 q4 a7 I
repeat vision
5 Y; U5 E6 N: Q8 C; ~" T; C5 } [ set total total + [grain-here] of patch-ahead how-far
' q) E' \ m8 h6 o) J0 w1 U set how-far how-far + 1 ]6 n4 F7 |; ^: ]# w* D/ o
report total" A! I) ~; D% `
end) a. l0 ]* q! Q
0 h/ A4 `' P. h( C4 Y/ {7 Kto grow-grain % F, n3 M1 O& k) i. I5 @1 y
if (grain-here < max-grain-here)) n1 M0 A$ `) d. M$ z: C3 K
[ set grain-here grain-here + num-grain-grown3 k' v0 ]! Q4 s4 g6 O' m' \
if (grain-here > max-grain-here) 9 U% m6 Y6 u, _9 ^- _- J$ p
[ set grain-here max-grain-here ]% p" d# h% _3 P q, k
recolor-patch ]
9 j2 s( P5 [& fend# i1 u1 C" V3 [, K' u- H! Y
to harvest
( H# E2 Y& U, C$ l6 I ask turtles) U* i8 ]2 d$ D
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
1 A$ z( v( |+ M# C% ? ask turtles
5 P) ]0 a2 |1 ^! z [6 w [ set grain-here 0
0 h$ {! h6 `: ]- S' t3 ~ recolor-patch ]. L' y1 f& l$ z4 y7 T* y# \
Q" x$ s8 C7 ~9 kend# s5 @ H" {2 P8 c% z9 o4 N/ Y
# D" s7 u! Z" R- ]. Yto move-eat-age-die 5 i! g9 O7 U+ P' B
fd 1
6 l* F+ z) o0 e* U: G% U set wealth (wealth - metabolism)) A) r7 X8 V. L8 N% D+ S+ Y/ Y
set age (age + 1)
( `' E( A* U8 P% W, ~ if (age >= life-expectancy), D5 D" _/ A# v# @( ]0 ^
[ set-initial-turtle-vars-age ]
: w) c9 V3 @* |- b if (wealth < 0)2 S e+ h9 J( F& N4 B) t
[ set-initial-turtle-vars-wealth ]* G* M% f2 A5 }6 R# O
3 p( d5 t* G7 `/ {% hend- h5 b" _; |- T
+ d/ k* F6 z+ E4 q" U$ L3 B J2 u: \
to setup-plots8 ~9 U6 e0 G4 |& h
set-current-plot "Class Plot"( K! M! L6 o, L" B$ x
set-plot-y-range 0 num-people
" ]- y# B0 M2 P1 c2 Z1 Z" X- g set-current-plot "Class Histogram"
% _" G* g1 k& ^# |3 D set-plot-y-range 0 num-people
5 X# u/ F- Q( b6 D; ]end2 d( D, ?' d- r
) j/ I" o4 Z) o4 I
to update-plots' ^0 M- a+ J4 i7 B: a, X& G* s
update-class-plot
* {$ q# @- v. N6 _; V3 o update-class-histogram% u9 L; k& V1 a, J. ^
update-lorenz-and-gini-plots
; g+ L+ ?5 y& Q2 gend
/ K# q0 F3 ]2 l* W7 q3 g! E ^% A9 L! v% c4 w4 J! N6 d0 b
to update-class-plot0 ]; v- @0 [/ y, r
set-current-plot "Class Plot"
w" Z2 {! _1 m' ] set-current-plot-pen "low"; p/ i0 v/ W! E) I8 q6 M
plot count turtles with [color = red]
4 Q- J; F) g5 M! A+ e/ h; C set-current-plot-pen "mid"1 R6 Y. C0 v0 x
plot count turtles with [color = yellow]2 r5 Z; @; b& H3 o8 O0 S* g" R8 V
set-current-plot-pen "up"9 f0 C& n' e5 h' l7 N
plot count turtles with [color = green]
# \% I M& |. l+ A9 ^+ R0 i8 `end2 S0 K. d5 N) ]/ ~ r/ {1 K
0 n, [; y% Y! v2 o- L/ ^ Hto update-class-histogram
- k6 Z5 E5 [6 n* i' W. A' T0 r set-current-plot "Class Histogram"
6 s( S, E4 I% s: u% q+ I K) |1 C plot-pen-reset
! C ~# W( v1 F; O* l, | set-plot-pen-color red
2 l# P! q& m* t: S! q& U plot count turtles with [color = red]
( \3 ^+ j$ w% a5 T/ s set-plot-pen-color yellow$ E: s& ?0 M3 I% O* n+ K/ T
plot count turtles with [color = yellow]
( G- Q* U) m- Q0 G" N set-plot-pen-color green
9 [8 {( [ J9 \* V plot count turtles with [color = green]
1 s, m/ c5 y/ i, oend4 P$ p3 ? k1 Z, D" A; P" z; e
to update-lorenz-and-gini-plots
: |# p; K. [, O2 _" H, n4 B0 S. p, w set-current-plot "Lorenz Curve"
( L) `& f7 H8 L5 x, h; e clear-plot
0 ]7 V, F( f2 Z) X+ G/ n8 K8 \0 L/ k: W9 A k
set-current-plot-pen "equal") u9 ?( x. _9 A! n) t
plot 0/ Y( T7 `6 ~0 ?( M3 O' x
plot 100
3 e2 u" a+ J+ I' M3 c8 ~" ~7 b7 h: W, A- l* N' h) t9 X2 D; ?
set-current-plot-pen "lorenz"
5 ^& t* M. ?$ l V A/ h& g set-plot-pen-interval 100 / num-people1 A6 V+ p/ |3 ^
plot 0
" b7 N6 N9 l* i6 l
' P3 u2 d3 j. Y4 A! r) O$ U; g let sorted-wealths sort [wealth] of turtles7 y5 \/ E3 m) C6 M" R
let total-wealth sum sorted-wealths
$ h% M3 a! F4 Y6 {1 ], W- z# ^ let wealth-sum-so-far 0
' d7 |' _+ c G2 ?/ d4 v3 K `& O let index 0
% }8 b! a* B! m7 H, ] let gini-index-reserve 0
, p& w$ k! @1 o7 j; g' h. h% H- x, m: x* ]
repeat num-people [
% N$ Q( g% U, E& ^ set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)7 s$ G' F+ h9 l
plot (wealth-sum-so-far / total-wealth) * 100$ T; N( T7 @; u: C' s/ v: V( N
set index (index + 1)9 i& l$ g; ?1 D4 }
set gini-index-reserve
5 f f7 M6 n9 L, _, w6 h gini-index-reserve +
/ V* a1 g, ]. R (index / num-people) -
& v! T4 w {: H$ z, a( N (wealth-sum-so-far / total-wealth)+ l+ }, s7 @1 [' g$ m
]% N" J6 b" G9 B- ?7 V. s. S
- `# r3 F8 W8 C4 X, q
set-current-plot "Gini-Index v. Time"8 o" I {' J" P
plot (gini-index-reserve / num-people) / area-of-equality-triangle
' R7 g# d/ U% Y; rend
9 G- C; d1 @: m4 @; Q4 D( [& |to-report area-of-equality-triangle2 }2 V9 O0 i7 Q0 [( l* Q/ Z# ^; u
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
! ]9 A! s5 U6 i+ n+ e( bend |