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
; }1 N8 e8 g& |3 d4 u# p) j: oglobals
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; N9 e- `, g3 n; [1 k max-grain
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0 ~, b* `# j" m5 {( Ypatches-own
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grain-here
/ t. l Y# D: I4 }# m1 R max-grain-here / |/ V N- n9 B( g# V1 ]
]
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turtles-own0 ?, l+ Z& v" S; A3 H
[+ D$ v! }# r" E9 G2 S2 {/ J) G
age
. I/ \+ i* {+ L: r# _ wealth ) N4 f$ O9 J; K7 r7 F( G
life-expectancy & f$ t& w) r1 R9 D
metabolism
+ X. t" X( I& Z2 ], i$ E vision
, E+ r" R- d+ N; _) o! u inherited
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" p/ {! D9 W7 [0 X' `9 ]& i1 W2 Ito setup0 z8 t& a7 l" T
ca
+ S0 B& Q4 v9 ~& i. i set max-grain 509 ] y% J6 y$ T5 Q) z
setup-patches
# C0 n: V6 x2 ~ setup-turtles
; y" v2 [5 E! V+ A K6 z setup-plots; x* C; ~% w% `$ a) L: o9 s4 @5 | [
update-plots! D m, l" B8 P3 w+ K5 m
end4 T n% H- l2 z6 x% w
to setup-patches1 j# Q+ T+ e/ t3 N
ask patches
. E/ Q6 S8 q* R [ set max-grain-here 0
5 H5 J. ~$ N4 Z+ E- G' } if (random-float 100.0) <= percent-best-land$ ^+ ~) a H6 H" W- r5 Q
[ set max-grain-here max-grain
) U' K. h* s% [0 P set grain-here max-grain-here ] ]" ?) u1 K$ A3 F0 J5 Q. G
repeat 5& ?: m; Y& |8 m6 Y
[ ask patches with [max-grain-here != 0]
: |; q6 K( O( J9 R [ set grain-here max-grain-here ]
! G5 W% k# _ ?$ E/ B) ~ diffuse grain-here 0.5 ]4 P ?4 N. M: O1 e
repeat 10
" D, X s8 A- T# f [ diffuse grain-here 0.5] + B/ V4 P% A# L! q& h
ask patches
) l+ X- l) H+ y3 T: S B [ set grain-here floor grain-here + k8 {* v* Z1 {5 ^# e7 ~
set max-grain-here grain-here ' J3 e- o; C; i9 O/ I
recolor-patch ]# ~$ t1 O& l* n% }5 Q
end
$ ^) l8 V- L1 \5 a3 ^9 Oto recolor-patch
' ]# Q6 S' m; {; O' ?* H set pcolor scale-color sky grain-here 0 max-grain6 j0 L( i* B7 }' M2 {4 N
end9 v! J" q) O0 I! J
to setup-turtles
; G* w% F' B/ M3 a set-default-shape turtles "person"
5 N9 W; c a; q% i0 u3 m crt num-people' b- f8 S0 l- E" _
[ move-to one-of patches $ |5 |6 d: B) R) T, m+ ]$ |/ P
set size 1.5
! j: |, H) G, d% a9 |+ g set-initial-turtle-vars-age9 l. H5 [2 L4 D2 z4 E# {
set-initial-turtle-vars-wealth ^' n" m7 {& N$ _
set age random life-expectancy ]
7 A+ c& |5 D0 \. P3 p recolor-turtles
& l; O. }7 O% s5 [2 eend- a8 f* z, A9 J" B
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to set-initial-turtle-vars-age* @4 c4 P4 }( O& ]; k3 I
let max-wealth max [wealth] of turtles4 M' M$ `& m1 D
. L8 ?4 R9 `2 W4 v% j ifelse (wealth <= max-wealth / 3)6 k: k9 `" \2 V: Y9 p4 g1 M( U$ y
[ set color red
. O& W7 ?* c1 c3 {: Y set age 0' _( g7 v; m) w3 A. Z& [. y# N& U
face one-of neighbors4 . e+ V7 {) V) }* n8 G" x
set life-expectancy life-expectancy-min +
" ]0 ]. t3 b+ L* r) v random life-expectancy-max
/ Z* S: b9 c$ {& P$ M- M2 g. L" W set metabolism random 1 + metabolism-low, s! i$ P2 x0 Y& K9 A+ e& m0 [
set wealth metabolism + random 303 S" Z- A2 \0 o- b5 l" H; E" ?
set vision 1 + random max-vision
5 {5 w, ]: R+ N: x set wealth wealth + Wealth-inherited-low ]
' D) r5 P5 s3 X0 ?: {+ f4 u [ ifelse (wealth <= (max-wealth * 2 / 3))
4 D6 q! |) m Y [ set color yellow / \6 A4 o( ?8 Q P4 a2 G0 F& r
set age 0; Q& ~" _4 P8 u9 H# d1 U- {
face one-of neighbors4 * _ P# o8 T" r# n0 E4 _
set life-expectancy life-expectancy-min +
. `: B8 |9 o7 { ^* B; C random life-expectancy-max + 15 ?3 S( K+ A% ^( e l z
set metabolism 1 + random metabolism-mid) I' }( F& _' _
set wealth metabolism + random 30
, a; e/ Q3 m' q set vision 3 + random max-vision* f, |) A/ ]: ^) \( t! O$ s
set wealth wealth + Wealth-inherited-mid]
( {( N) D. L- v1 `* D6 D; q/ T9 Q [ set color green ) [1 F9 X- W; ^5 Y8 o2 Q5 C
set age 05 v- G4 o" T$ L% t
face one-of neighbors4 ) R, {7 l$ `( i+ z2 v$ ~* ~
set life-expectancy life-expectancy-min +8 D. K1 i/ c% Q
random life-expectancy-max + 2
8 B/ ]( Q! { Q- s/ ^1 M; n set metabolism 2 + random metabolism-up
# {( n9 V' ~ C# R4 N set wealth metabolism + random 30
8 A: H/ f( P; O& J0 Y set vision 3 + random max-vision. c, v/ j" V7 J/ W) h# ]
set wealth wealth + Wealth-inherited-up ] ]
0 S1 x5 u. t: C r& r9 I0 {( d ' }3 p) \, y; k5 W* {
end7 i4 ?+ p* ~0 q: D
to set-initial-turtle-vars-wealth
& B0 T" o) p2 ^9 g ? let max-wealth max [wealth] of turtles
" h' ]9 i; O7 X+ E6 y set age 0
2 x4 A5 t h0 ^% H face one-of neighbors4
; j0 S6 [4 M0 o, R. Y set life-expectancy life-expectancy-min +
8 D; `& _. j p" S: q random life-expectancy-max / o% p$ u+ @' f+ K
set metabolism 1 + random metabolism-up# m8 @; P0 F/ V' g2 m+ n2 n* I
set wealth metabolism + random 30* _3 i# j' o- ]2 j; e4 m" h
set vision 1 + random max-vision
9 q. U. B+ w7 i# @0 rend
~, t- y" v7 n! c- h1 D; X) [to redistribution8 L" X$ i/ j" m( Y, @4 x0 n5 Z
let max-wealth max [wealth] of turtles3 V2 k! b3 g/ l3 \0 h5 z0 ~
let min-wealth min [wealth] of turtles
_9 c( H0 I: k( K9 C4 tif (wealth <= max-wealth / 3)
" g7 Q" p7 W# `9 u7 s4 O T, F [set wealth wealth + Low-income-protection ]
/ |* K& H, h! E& A* {4 ?end
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; b3 u+ I) W: Zto recolor-turtles+ l' @, J) ]* k( Q4 H
let max-wealth max [wealth] of turtles
( [% b2 f! H R1 }( W ask turtles9 Z( V1 H$ W8 [ @. M) |
[ ifelse (wealth <= max-wealth / 3)
# X1 V) X7 B3 ]1 `% _: q [ set color red ]. a. y' R& {8 }1 @1 g9 d% G( R7 ]
[ ifelse (wealth <= (max-wealth * 2 / 3))
( {' B: H7 ~* g+ k [ set color yellow ]
/ F. |! G' C; A; i/ `' g0 _ u% ? [ set color green ] ] ] L7 L ]9 j" u
ask turtles [ifelse show-wealth?
5 }% J) b( O" G [ set label wealth ]
7 G; p( i0 E4 ?* [, I8 X* ]- G [ set label "" ]]9 W6 H* N* j$ a- C$ d
end
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to go
% N9 g7 }6 U8 o3 `) a6 W ask turtles8 W; K4 O) E( V4 a
[ turn-towards-grain ]
* V9 W! @, k& p: _; G harvest
: N, I' t1 G, H; `" w% ` ask turtles
( n6 ~( ?; J8 _: [5 K8 X [ move-eat-age-die ], O9 g8 R, i6 g+ B, M
recolor-turtles
, t4 _' P5 ~3 Y. F" _ if ticks mod grain-growth-interval = 0. b! Q/ Z8 [9 `$ ?) ]
[ ask patches [ grow-grain ] ]3 q. w: l- y C) O
n3 l; }) I3 l
if ticks mod 11 = 0% y. V ^3 k. E0 l7 E9 x1 s3 Z; H2 q
[ask turtles
5 w. M% i$ F: r! i1 K4 T% \, p [ redistribution ]]
6 i b4 H, v( @, ?# F+ k9 w8 T8 L" } if ticks mod 5 = 00 q+ `( n, U! U8 K/ j
[ask turtles
6 W+ r. _3 g8 }5 H0 o5 J- y) | [ visions ]]: V/ d" |6 z, q% Y; c+ t( k( |
tick7 ?5 k: M9 u. K+ }. T# h
update-plots7 {) D; t+ s0 m6 y
end
t+ g3 V8 z; X. e* B& pto visions
( ]3 E0 U# `4 p2 ?4 @8 V set vision vision + 1
0 A# H9 B: @0 M$ q8 R. a' Bend
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to turn-towards-grain
. J9 s) O, ~3 [ e- Q( z4 p set heading 09 D1 u% E9 w+ i) J( v' B
let best-direction 0
* A$ p0 @ m, d6 ? let best-amount grain-ahead7 q1 G8 G; l- F; D$ ?4 k8 S
set heading 90
2 b2 \5 t, y4 } if (grain-ahead > best-amount)% \7 ^: L3 l: p6 X
[ set best-direction 90
4 x4 ^- r% v) h2 N5 { set best-amount grain-ahead ]
0 W) Q" P0 ~, o set heading 180
7 o [% k8 A3 E. ^1 ? if (grain-ahead > best-amount)
9 W& p q1 h3 }! J$ N, M [ set best-direction 180
8 _+ a: k3 c; R9 d set best-amount grain-ahead ]
. n$ M7 G# X3 ]: Z" A set heading 270
$ G, O, q3 I5 q1 r7 h5 y, q; b if (grain-ahead > best-amount)
; j, P& n. a% m$ Y [ set best-direction 270# z, R9 B, B6 }
set best-amount grain-ahead ]5 v R% l/ }# [ ?; g
set heading best-direction, f; S, |( J+ o( Q
end
2 J _& b3 s2 s9 [) z _9 _1 s- F1 p% W/ N- }
% J+ b3 O( b' Z( C% oto-report grain-ahead
6 Z6 A- I: }- m+ E/ X! F let total 02 b5 S1 ] }$ c
let how-far 1$ f- ~0 `2 z5 F6 A$ F: {/ ^* `
repeat vision2 X4 F- K1 K S/ b. w$ H
[ set total total + [grain-here] of patch-ahead how-far$ u# B ?1 O& b4 u
set how-far how-far + 1 ]5 n# v( y, |; ?
report total. |5 n0 ~9 C! C4 A7 [8 U
end. l- X& D/ M. Q
6 i! y( d4 E! I/ C/ _2 |to grow-grain Q3 ^, A7 x9 i/ Y7 M7 L& a
if (grain-here < max-grain-here)
, Z5 h, V- c+ O( H, m0 |! U [ set grain-here grain-here + num-grain-grown1 @) T; a( t) s1 Y+ p8 G, Q
if (grain-here > max-grain-here) 2 ] E% @1 k' h1 K; s8 v% [
[ set grain-here max-grain-here ]" B# ^# X. ^' H) O# x! m
recolor-patch ]' p2 h! `% E* Z& B; G
end
1 l$ D7 J7 M) X$ c+ l O4 Ito harvest5 d5 ]; _+ H$ g+ F3 o) R
ask turtles
7 R5 e# T* h& ~. ~ [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
7 }" X9 U6 ]- J$ h" O ask turtles
# y; v) x# H4 q5 g [ set grain-here 0
" x& ?* {. W: ~( I+ D1 Q recolor-patch ]/ U' j9 O8 ~1 L) H2 j! d7 b
1 i9 P6 ]! f- J1 `/ F! V% f' ?
end. \4 ^0 C% I) T. Y& Q& v
9 [7 w; g" c2 S9 c
to move-eat-age-die
# M3 ^: n* K3 z3 h. h, v fd 1" d* f$ D! ]$ O. Z: E; ?
set wealth (wealth - metabolism)
6 T% D3 x3 L V( a: a set age (age + 1)
' w4 k$ U, l, I0 x2 b0 c if (age >= life-expectancy) D8 O5 T; }/ U% \/ l. P/ Z
[ set-initial-turtle-vars-age ]& T, ^$ D8 u) S
if (wealth < 0) b9 u& g: K, H; n' T8 I, `
[ set-initial-turtle-vars-wealth ]
9 n( v$ d# x5 Q) o& @- n- K
( d {' c3 Q& V/ Z. X& d7 U# Y# Iend
6 Y& K$ q+ O3 }. H9 I" B" M: [# B* U
% u% U+ k' I& N6 F. Uto setup-plots
9 C7 s9 G( O! r9 [: y set-current-plot "Class Plot"4 J6 v+ _$ x7 d% n
set-plot-y-range 0 num-people
" D# f+ u5 f( _* ?. i set-current-plot "Class Histogram"
0 u7 D$ E3 X6 g N/ I* F* p set-plot-y-range 0 num-people( i. W3 x; J! M' x5 P R
end
3 P. G: Y* u1 A" V( M) V1 h0 q3 M5 n$ @2 Z
to update-plots
1 e s+ l1 w: D update-class-plot
& ]3 C1 D( u6 t6 H% {& p' E, V% Y" H2 V update-class-histogram) I+ @- t; P% C- C, z
update-lorenz-and-gini-plots" R* ]1 v& u4 A7 i4 r6 j. C& y
end; \! L; V5 R; {- R5 e% U5 u
) j+ ]0 c% r. _) K3 b- P
to update-class-plot
+ z6 \& V3 i* }: d% {; o0 W set-current-plot "Class Plot"
2 l# S1 i. u0 W9 h set-current-plot-pen "low"
( w* [/ I' E, e plot count turtles with [color = red]
: `; h2 h; u- N8 u# x; ?6 S( t set-current-plot-pen "mid"! F e' Q3 S# L
plot count turtles with [color = yellow]% Y3 _ s/ ?6 s' Z- J K2 b' G# T% \
set-current-plot-pen "up"
9 `% } r$ V( F2 C plot count turtles with [color = green]7 F/ M9 W4 q0 ^. x
end
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to update-class-histogram1 v; Y6 o3 W( G; |+ D% r6 r
set-current-plot "Class Histogram"1 J! u7 s5 _& l' l; |; i- i
plot-pen-reset7 Y3 X4 P3 o+ p: f* t3 |
set-plot-pen-color red
" B0 G' U$ ]8 B& A& B6 z plot count turtles with [color = red]! V; o: I* P4 j/ I% E
set-plot-pen-color yellow' q* z2 v" k9 L7 C8 \
plot count turtles with [color = yellow]
& M" S2 U: ?/ n1 Z set-plot-pen-color green
* N! Z/ T% I+ D3 f5 N6 J plot count turtles with [color = green]/ Q% `0 ~& j( O/ B
end. |. S% V- A2 W' B. }- J
to update-lorenz-and-gini-plots/ J: [1 y7 f+ T9 h9 M" H+ m
set-current-plot "Lorenz Curve"( j$ W6 W& O9 }0 u5 @* |
clear-plot
j( H: T# ^: F. o1 v, }8 R4 N2 b- ]8 ?5 u/ G8 H' u% ~/ x
set-current-plot-pen "equal"
; r/ x: k6 C& i) g# t' s plot 0
0 K. }! Q9 m' G7 n. d; Z plot 100
- _# u' `) s4 b- T
0 A* l' O8 A% q7 b set-current-plot-pen "lorenz"; a: r/ \! p+ K: | W1 I
set-plot-pen-interval 100 / num-people9 R5 t! V2 _. r; C1 J2 R6 C
plot 0
$ f F6 N) o: H, n
% G/ O( J, C& {; X let sorted-wealths sort [wealth] of turtles. q, N0 n( V$ O
let total-wealth sum sorted-wealths
7 x9 x' A& i- @5 E let wealth-sum-so-far 04 q9 ~, g8 i. L" D" `
let index 0% p. i6 t8 G9 n8 W; k
let gini-index-reserve 0% n! n! j6 N! u" D- E0 E
3 m% P( a: O; z7 \7 l7 j* [6 V
repeat num-people [4 |, }3 n4 f u# {8 v9 H
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)1 `8 c. v4 q% c# Y5 Z7 p
plot (wealth-sum-so-far / total-wealth) * 100
: [3 c# T* y+ R H! G: E5 x4 ?7 J! \ set index (index + 1)
1 j4 q1 U7 [1 u set gini-index-reserve% K3 [, ^9 `- V
gini-index-reserve +
' l/ t! h1 W p1 R3 R (index / num-people) -
3 J" V; H% ~- t- ]7 D* L( ]8 q (wealth-sum-so-far / total-wealth)
# D. c( z, z. X ]
% S1 m6 F4 P2 C) v/ p2 u3 @; e! y( V& @( u9 J+ f: Z+ V' ]
set-current-plot "Gini-Index v. Time"
9 ?0 A. R. T. E4 K( z( T0 m plot (gini-index-reserve / num-people) / area-of-equality-triangle# S! O* F. h/ h% t2 \( A0 g4 g
end! |% a; R3 F0 K# s. r
to-report area-of-equality-triangle+ @2 t! ~4 ?1 \# D
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)7 `) u J( a# M* H" r7 K L+ T
end |