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
v3 G$ Y* a7 L) sglobals" J, C# D2 j0 f+ y+ E# D3 T
[
0 Z% t, G+ Y4 s0 v max-grain
; k' K1 X* h9 r" o& O" |# v0 A s: g3 _9 O B2 h3 a
]8 ^* X9 s7 t* \* V, n3 @
l" c( R" `4 ^; u! ypatches-own
: K* Y6 D3 o% B/ c& I, j6 A+ t# z[
' x5 n3 r( B" t grain-here 3 ~' P/ g6 a0 s& b d* S- e$ b
max-grain-here 2 C2 T- F! ^; ~; c4 ]$ ~+ R( l! W
]
" k; m" Z" Q+ Q* x& |0 K; a ^& P' I2 n, Q
turtles-own, m" U% a8 ^1 b3 J
[: C. T+ c1 _5 t- [" i
age
; y3 M5 G! H" R) ]% v5 K7 y- U wealth 0 C, B- N' u& E
life-expectancy
! h& j' _' p4 m8 i h metabolism
# n9 @* }: T6 w# S! T vision. ?7 y+ }: `9 m
inherited
! q2 _2 }/ V+ P$ s( ]0 s9 ^& b ^]- C6 u' F1 A# T# U! F+ V
7 x! h& K3 a8 {0 H4 b) @6 X" R( O3 ~6 w
to setup
" ]) [0 ~" J! c0 v5 Y5 `3 w6 y' o ca6 U; s6 a& u$ z; b; g- c7 Y
set max-grain 50
$ p4 L- e& ^% I) B* [ setup-patches
I/ Y, l- V2 R9 T& `' N setup-turtles
/ C4 ?1 v& n0 F setup-plots
* b: M+ e1 b q4 t+ M1 @& b update-plots' ^7 k7 u6 Q7 G' i
end& j: G5 G2 ^" p( O
to setup-patches
" y K9 f# O4 Q, N0 H ask patches
1 V2 d& L# I7 j! T8 z* S# a [ set max-grain-here 0
) j; ^" A d7 `' m) }/ `6 o if (random-float 100.0) <= percent-best-land' b3 p9 l8 J- T2 K: A) t
[ set max-grain-here max-grain$ N; Y* D. x' u, \. f/ C& o3 E
set grain-here max-grain-here ] ]7 i e/ _, u& ~8 R. ^+ V1 K% e# L
repeat 5
0 }( l2 q8 L$ s3 Y7 W [ ask patches with [max-grain-here != 0]
+ j( K4 } @5 X! O2 b1 { [ set grain-here max-grain-here ]$ }9 S* h; E$ O8 ?5 D7 M1 L5 h
diffuse grain-here 0.5 ]1 f# w1 o) {5 a) o& V
repeat 10
. S- p) j' ]& Z# Z1 b, g [ diffuse grain-here 0.5] , ^; @+ y! [3 a% O# N* t
ask patches9 r7 F, p7 P* w, l: }7 _: l0 K
[ set grain-here floor grain-here p" I. _5 m3 _
set max-grain-here grain-here 6 Z/ R5 d; H% V4 z; T% j' J5 T+ ?
recolor-patch ]3 h6 t8 y& d s3 U7 _# g( @$ i) Z
end
) c9 v3 J" ~8 Kto recolor-patch 9 O/ ^1 z8 \ m7 O
set pcolor scale-color sky grain-here 0 max-grain
$ s+ g& v, w9 xend& l, H5 E% ^5 j* w; p7 U! N' m
to setup-turtles o. W: c3 E, q
set-default-shape turtles "person"' ^; ^2 K' U' Q" n8 t
crt num-people
6 z9 I) L" R6 t$ H. o1 y- j. B [ move-to one-of patches - d+ U0 m j9 `' k
set size 1.5 ( D, W# r/ N% y9 r. ?$ d, g+ y7 s3 M
set-initial-turtle-vars-age
# s2 K' k c7 b P set-initial-turtle-vars-wealth
3 ]! _* r1 B) Y+ Q1 ?1 D' h set age random life-expectancy ]9 ]% b, ^# ^7 i. Z
recolor-turtles$ t5 U" O& g- H
end. }5 o8 U8 v" E ~7 ^$ F
" K( C: V3 u2 ?7 A, u- V1 Y
to set-initial-turtle-vars-age3 M' i! I. | ?: \
let max-wealth max [wealth] of turtles
V* v2 }% z4 F- _- ? / {/ t2 P( q Q8 c
ifelse (wealth <= max-wealth / 3)3 Q( t; I0 U$ a6 r
[ set color red & X, Z* e; S$ y' }' W1 z
set age 08 L( q; s% P8 u; N/ C7 i" f1 I
face one-of neighbors4 ' L. e; G! x5 V$ H
set life-expectancy life-expectancy-min +4 [. F" h: y& ^1 F9 t
random life-expectancy-max # q; x9 D6 l+ j
set metabolism random 1 + metabolism-low' f3 Z. ^9 K' ?
set wealth metabolism + random 301 s4 }. T) F, x m& w ~
set vision 1 + random max-vision
, \' A8 Q4 @3 A# ~/ N' i8 g set wealth wealth + Wealth-inherited-low ]
& c( ^$ v8 f9 V0 s% ^4 r8 k6 \7 Q! q [ ifelse (wealth <= (max-wealth * 2 / 3))
! f0 ^" {9 h6 [4 \ [ set color yellow
6 _* j" U; q X& M. |: Z" F set age 0
$ y4 p$ o+ h% r face one-of neighbors4
; T* n8 y% o6 @7 X: j/ ^, E: w set life-expectancy life-expectancy-min +
: U" f6 Y0 F" e1 S random life-expectancy-max + 1, ?5 c, }5 V6 ?! B) @' ]
set metabolism 1 + random metabolism-mid
0 N9 r2 {6 u: A7 s y set wealth metabolism + random 30$ j p$ _3 i5 m4 ~4 K
set vision 3 + random max-vision" `! p7 i5 ?9 x5 t- k5 h) f% y2 Y
set wealth wealth + Wealth-inherited-mid]
$ F$ |( i& M: d+ ?' R( ? f! v. `6 K [ set color green
! E; P Z- w; [2 Q9 L. J' p set age 0 B& p% X( s% a
face one-of neighbors4 4 b9 U1 }( z6 Q
set life-expectancy life-expectancy-min +
0 L8 O8 j- ?: K) ] random life-expectancy-max + 28 a1 S, y2 p0 [; u9 h- c
set metabolism 2 + random metabolism-up
+ s; [5 R% S2 B# q; j4 z set wealth metabolism + random 30
* R: I2 C. Y/ g" B3 f+ C8 i4 f: l. {2 p set vision 3 + random max-vision
( e; c3 Y7 z. P0 J } set wealth wealth + Wealth-inherited-up ] ]
% F0 P, i: N& T( \& i1 z
2 \( P. Z9 G3 t" qend
+ D; H1 }6 o% e. G/ t$ L. K6 Uto set-initial-turtle-vars-wealth
1 V4 g7 G% p0 P/ h& E* g' M' { let max-wealth max [wealth] of turtles' S0 ]& N2 m2 t* Z8 n
set age 0. i$ R. |+ U+ g1 H" r
face one-of neighbors4
$ \2 V( L, D4 m+ s9 A- j set life-expectancy life-expectancy-min +9 {1 w# D' e: l; |* V
random life-expectancy-max
( E$ U& |2 b# I) L3 P# J set metabolism 1 + random metabolism-up' e- O7 f8 M5 f2 {- a) y
set wealth metabolism + random 308 k; T2 X, M0 L/ S4 r7 }3 _) r3 M
set vision 1 + random max-vision
' ?. F1 x* T0 @5 v/ rend
3 G+ T& l6 r' ~ ]$ G2 oto redistribution# V+ j3 j# E0 @; y; n% B& m
let max-wealth max [wealth] of turtles
: V+ Q6 m. Z; ?& Mlet min-wealth min [wealth] of turtles- D4 R, s) r+ m# F$ b% z, E
if (wealth <= max-wealth / 3)0 p4 ~- D7 k0 m$ D/ k% w5 r
[set wealth wealth + Low-income-protection ]% v+ h) ?3 j- x% P6 b; o
end
1 o3 z; m1 U4 C/ \: k& x* { 1 T- K1 J3 ]) N% ~3 S
to recolor-turtles, H% Z% Z$ i: v
let max-wealth max [wealth] of turtles
. g! S7 `' F4 F ask turtles, a5 N6 A, W0 D$ L. E1 B
[ ifelse (wealth <= max-wealth / 3)/ U: P! p2 B, A' B
[ set color red ]5 ~2 i2 ~( Z F2 I* h. O
[ ifelse (wealth <= (max-wealth * 2 / 3))
& b! X# a* s2 i v. B6 c1 J [ set color yellow ]# F* ]5 V8 w" D5 N3 s
[ set color green ] ] ]
, l3 n, s! p6 i T2 R. N ask turtles [ifelse show-wealth?9 e4 ]9 P0 A$ n; q( k4 ]
[ set label wealth ]
) n/ l4 e' G( e [ set label "" ]]
% \! e+ a' S+ I6 `9 N; D; cend
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to go
$ M# \. e5 P% J4 j# L3 j( j0 F( r: f8 W ask turtles
7 B7 ?) A+ r( Q4 q% ] [ turn-towards-grain ]
. {5 y: q0 y6 X$ o* H. x harvest
9 J& H0 u& g' k" i8 u ask turtles
. ^+ l0 k- ?( y! z% N3 w6 T [ move-eat-age-die ]0 a3 y: o; Y0 v9 f$ Q3 ^
recolor-turtles* y* W( j9 B' J) `. J1 ]. b
if ticks mod grain-growth-interval = 0+ u4 J& J7 S1 q2 m, W7 f
[ ask patches [ grow-grain ] ]
5 g' _; K; a! n
4 W. V8 E6 C; O! O9 a if ticks mod 11 = 00 Q& v2 ^: I: i! s9 t2 W
[ask turtles
3 q6 L$ f; u# x2 \* M [ redistribution ]]
2 {" m& x1 e; D1 z4 n if ticks mod 5 = 03 R1 S3 @# H9 o( U& `+ |! e
[ask turtles+ w/ W/ S) p9 ~! V' c: i
[ visions ]]9 L' G* ]: s3 ?
tick
# q# G9 z5 ^8 V' Y update-plots
4 G( s r) m$ m( m1 B% v/ E( s+ J: uend
Y1 v! O2 f. w* U) v9 \to visions/ _! h* ^3 X9 v( O; d
set vision vision + 1
0 Q9 F/ {. c& B9 k% ~end
" ?% [) J2 n1 K: o3 e% g
" M c. O6 h/ ?* @
2 D/ z! S; I! N: P7 m/ }" O5 @/ @6 G; y. X$ F d
to turn-towards-grain 4 z% f/ K3 k+ R' \
set heading 0' k$ z& X; \& r% y0 O
let best-direction 0: H8 f$ Z' V% G& @, s' W+ D
let best-amount grain-ahead
: O7 m! B/ j# S* v: J! f0 f set heading 90$ ?) U* J+ t; K5 N: C: J9 k
if (grain-ahead > best-amount)& z- {0 `& M' l" M: q) K& F4 X
[ set best-direction 901 T( K, t4 {) e& {
set best-amount grain-ahead ]/ p/ H6 x: {" @
set heading 180
) |/ u4 ?7 n: y) b if (grain-ahead > best-amount)0 Z. M! O9 b# h* h: m; F
[ set best-direction 180
" t- Y* Q6 ?5 R( V1 s b set best-amount grain-ahead ]5 H) z k3 ^" ]5 ]# ~
set heading 270, t1 a' T* q; w4 f6 @" ]
if (grain-ahead > best-amount)0 e- i3 _7 {1 }& e* w$ |
[ set best-direction 270* F* B7 R, p# l5 `1 A3 V$ C
set best-amount grain-ahead ]0 F2 V! x" p. ]$ m- y
set heading best-direction
9 Y1 W9 m# u# N7 ~7 [1 U* uend) N3 _$ n1 {4 P8 `3 C
3 z( a) V) i$ o2 c6 B# R0 I& w% L# i; L
to-report grain-ahead
5 i6 f \& B+ i3 R. L4 K let total 05 H% k& |5 c8 c( }
let how-far 1
$ N) q3 {3 W5 l. r* c! N repeat vision0 K6 X+ E0 t- J( i. B1 b5 T0 e7 b
[ set total total + [grain-here] of patch-ahead how-far7 S& m2 _ v: O& {0 I+ x( z
set how-far how-far + 1 ]" j7 j4 P G; r* \3 z8 V2 u
report total
* ] [% w6 v1 S. m* e kend
, g: U1 W9 ]6 c: ], A& V
o) P5 K/ o+ T' I: {- gto grow-grain
! {- l- |* Y4 L+ r& x2 I if (grain-here < max-grain-here)
7 `, V, L3 z+ G. [, y4 e' y: b, A [ set grain-here grain-here + num-grain-grown/ U4 |0 N3 E1 i1 v: }, t( a; o& V
if (grain-here > max-grain-here)
, o4 |! x% n3 g3 M, C" `5 K [ set grain-here max-grain-here ]! Q( ?8 h2 y) y3 w. T$ d4 |
recolor-patch ]% ^; [( u( f' O V
end0 U4 l; g( V4 {/ y2 u8 ]9 O) L
to harvest: d, O" z( s: t/ C, d
ask turtles
/ k y! O- a [9 o# N [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
& j/ g. `3 i3 Z& \ ask turtles
9 K# v4 C T7 x) T, @ [ set grain-here 0
% {" Q) A% P* G- }, x5 r& S recolor-patch ]+ ]- x: G, S& k! |7 g- U
6 C7 U: k4 i& |end# C7 u3 k9 Q" h; ?
$ B H% \2 [4 a, p2 {- k' `5 ~6 D* R
to move-eat-age-die : z4 ?9 }/ g: J! G: Q# A- Z5 t
fd 1
4 f; s7 m" G& D set wealth (wealth - metabolism)
$ m9 l; f+ Z- V7 @ set age (age + 1)
7 @# y3 x* J' w m6 t if (age >= life-expectancy)1 |' [9 z4 ~7 K& R9 H& z2 b+ w( ]
[ set-initial-turtle-vars-age ]
1 X( t& ?+ l0 A! C: V. [ if (wealth < 0)& F$ N/ ^; R2 {6 K) Z: S8 }
[ set-initial-turtle-vars-wealth ]6 ~0 G+ Y8 j4 B
4 | o. _2 C' @+ ^end; K5 Z/ W7 H' u$ R
+ L9 Z, }% r1 k
1 I/ D5 d: @& C
to setup-plots
, R) N5 ~* d2 H: g set-current-plot "Class Plot"
( k/ t/ | y4 g& S: ~! A1 B) E& g$ I set-plot-y-range 0 num-people
. e. o, [: g& m3 V3 p$ T set-current-plot "Class Histogram"
: l/ Z& t, B" X, q' ` set-plot-y-range 0 num-people& b+ T# c+ V! z' V. y+ u$ s
end9 J) o# |% M/ p1 ^$ h$ c6 Q
" V/ y( j( w }, |
to update-plots
% l9 l! \. N, a update-class-plot
+ |: ]+ ?( S+ E7 r: X0 X) @ update-class-histogram0 H. @& E0 b( u9 e
update-lorenz-and-gini-plots
, O: v# |0 R$ J! P1 s' a7 zend$ j9 v5 ?" j5 E; l& }
. B. U1 i; ? ~: Fto update-class-plot
0 F0 |5 ]6 J: {8 I% } set-current-plot "Class Plot"; t# X/ {; X6 v) x( \# f9 I- U
set-current-plot-pen "low"! ~; y8 _/ C3 l9 v/ @
plot count turtles with [color = red]
7 D I8 K+ E2 s set-current-plot-pen "mid"& o4 c6 S; s7 R& i$ r7 m
plot count turtles with [color = yellow]$ d" i- R8 B. k2 k8 Q: R p( |
set-current-plot-pen "up"
u. G$ r5 ~$ I. L) C: b3 t plot count turtles with [color = green]/ n0 ?* O( V `! H/ I4 }# D
end
+ V$ Y# `2 i K- l8 p; x: |7 x& V H% C
to update-class-histogram
Z$ k" b" I5 F+ {- F, _ set-current-plot "Class Histogram"
, e/ g9 O- y3 _6 E+ q! _ plot-pen-reset* h7 Y& U- N& R. O/ S" }- j. z. d
set-plot-pen-color red
* m$ z5 Z5 T/ C: R5 D* K, V plot count turtles with [color = red]& A. q9 r9 M8 g# K& b& j3 N
set-plot-pen-color yellow
9 B( T. L3 p% [8 b) ^ plot count turtles with [color = yellow]
* _0 n- g2 ]' S, ^; L+ q# S set-plot-pen-color green1 z- Z( h6 ~" G6 n3 F& k
plot count turtles with [color = green]
* Y2 r9 t8 k0 h+ ~5 U0 Dend
0 D+ M; j& q+ D6 U" R4 o' x! Xto update-lorenz-and-gini-plots
- K3 T! F, I. y% P/ W set-current-plot "Lorenz Curve"( f N0 u; e+ {
clear-plot, J2 i: T$ v) E% g
; V$ O i7 t: B6 i, ^# d
set-current-plot-pen "equal"
5 }& P3 g; v2 V5 E plot 0: y3 J, m2 } p9 G0 }/ V: v
plot 100% Y4 B) r* ^6 G0 h" W! Q) Z7 V
0 S$ O2 u, Y# g8 E: @* x set-current-plot-pen "lorenz"
9 j! q/ p( X- u# ~ set-plot-pen-interval 100 / num-people$ m7 Z& |$ q$ ]" M( J" {
plot 04 l, V' n: k% h* h$ T
9 {, N, z" `$ Y/ b1 d/ |# E/ S9 g
let sorted-wealths sort [wealth] of turtles
2 T: ]9 P4 {% J: _7 o let total-wealth sum sorted-wealths7 |9 h+ O8 L! b3 H
let wealth-sum-so-far 03 k5 C8 S+ t' I$ F) z
let index 02 | O9 j% k: A5 b3 m7 D& v& f$ |+ K
let gini-index-reserve 0/ t3 k% _9 N0 e" z- x) h' P
+ [* W& W6 d6 F: e$ v! Z3 T
repeat num-people [6 C# p& z8 A/ D; l* L, L0 Z# H
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)8 _; t- ^1 c f! s( P4 F7 }
plot (wealth-sum-so-far / total-wealth) * 1005 m9 R2 s0 Q+ j/ F4 P k* a+ _# X; }8 ]
set index (index + 1) R- {/ t2 R/ {. T/ k
set gini-index-reserve
/ {+ V% W% _1 X6 T% M gini-index-reserve +: F3 ^( z) O8 r4 X
(index / num-people) -6 c# G& y B* s3 E# _. _8 d. s. Y
(wealth-sum-so-far / total-wealth)
3 b& i8 A$ H. ~- m7 k; V9 }0 H ]# E9 Q+ A1 b3 J- \6 b6 F
) r# H; o' L. e- O! y( o! H' @ set-current-plot "Gini-Index v. Time"
8 `8 `' k. @& H7 _ | plot (gini-index-reserve / num-people) / area-of-equality-triangle
$ h b2 U0 l, r' }/ Uend! C, A' L, j2 I7 [2 Q$ j
to-report area-of-equality-triangle, R4 h5 N; _( C2 R t! M3 A
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
& P2 @$ I7 l$ r- q( y* Vend |