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
" h# F M; X! b2 |- \5 l& W5 nglobals
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max-grain
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patches-own& n5 ]; k0 ?3 X+ w6 o% d
[
# Y* k+ W% D" e0 e5 ^9 T4 L* S grain-here
, l' |: b, I9 f. G. B( q* B max-grain-here
$ A5 ^( ^* ?, w$ k: q! S]: [' F& Y- n! ^2 _ U, ^1 M' O- c
3 d2 \& u0 ~ K3 \, x& x8 Q
turtles-own
3 h6 ~, t# v. @: ^7 E' ][
1 ^1 \( ?7 |3 {+ ~' }, b age
5 E5 C4 k1 C6 d! z8 e9 s3 E) d wealth
* r. Q& U4 [+ \0 Z$ z life-expectancy
& b9 V8 g9 @7 o metabolism 9 E2 W( I! ^* U3 H
vision+ Z$ R8 c. w. K# V, `/ M7 ^% ]
inherited
% A1 T% p/ {+ x& p2 h]
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( H' o- ~& b# \3 h5 ~( ^to setup
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( i5 a4 G6 `4 x( ~8 O set max-grain 50
" [6 E8 S0 N9 R8 ]: `/ t setup-patches! n7 c1 [" E' C" X
setup-turtles0 R% I) H9 R4 a7 O. x, f' Y2 T5 q
setup-plots! l: l i V1 I# L/ J( T
update-plots, Z( X+ K2 m; ?9 t9 ~* e$ f% G6 ]
end
' j- W( y0 K- F* q+ B1 ato setup-patches
# W6 w/ T$ B! m ask patches, n7 x# a* X6 H4 m6 G
[ set max-grain-here 0
" O1 Y( G& B1 A: h5 G# m if (random-float 100.0) <= percent-best-land
4 s. \+ M* m M+ `6 ^. T6 ^ [ set max-grain-here max-grain
& S) u2 ~( P$ j set grain-here max-grain-here ] ]
7 ^8 o; J% T+ a0 z0 _; a9 D$ f repeat 53 z4 L$ k) s& U# U
[ ask patches with [max-grain-here != 0]
4 \( M5 f/ I5 ^6 Y [ set grain-here max-grain-here ]- I2 X% C2 K! r/ u/ @
diffuse grain-here 0.5 ]
8 w {9 T! U' L+ | repeat 10
# i/ W4 y1 N% ~$ ?" ^+ d+ _) b [ diffuse grain-here 0.5] $ H, f5 k! V, X) R$ P- j
ask patches
/ N! |1 o" b6 ~6 G0 @9 K [ set grain-here floor grain-here
3 X7 M( x d2 ]& x4 @3 H set max-grain-here grain-here
& R, V5 P. L. f recolor-patch ]7 ]' g: b- [1 v a3 y
end' }5 H2 Z7 `2 T) S) D
to recolor-patch : A% ]& P9 z1 a5 V
set pcolor scale-color sky grain-here 0 max-grain1 ^7 L* s. a/ x1 f Z! ]! o
end+ V* | q: ~7 |- k
to setup-turtles. i0 o2 C% a4 Q
set-default-shape turtles "person"; k( r6 Z' s$ I% @8 p9 y1 r
crt num-people
7 X( M5 h+ k9 A [ move-to one-of patches
1 S3 U E# z( W* p set size 1.5
$ y# |. h5 o; L set-initial-turtle-vars-age c. L% h. y0 `& `
set-initial-turtle-vars-wealth
) d- b6 x/ u( f" X set age random life-expectancy ] f* Z: d( p: K
recolor-turtles' k- S" y1 F( {/ K. Z# O" e
end
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8 Z/ |5 v8 d- f$ i" q2 Yto set-initial-turtle-vars-age& c. e) w. Q1 u
let max-wealth max [wealth] of turtles
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ifelse (wealth <= max-wealth / 3)2 x1 M N( X3 D" r6 v% [$ Z. L
[ set color red . W; k" }( N% W. |) y+ l
set age 0
$ L' B& z$ {% u" L/ y# [& D face one-of neighbors4 8 w: ^- I" a$ @# p. R& X- W6 i
set life-expectancy life-expectancy-min +
# e2 N* d; A0 M( k" |0 W random life-expectancy-max 1 }& J" S$ I; l i
set metabolism random 1 + metabolism-low
; v/ E1 V: [0 ~ set wealth metabolism + random 30
9 d* k m# H! S6 G set vision 1 + random max-vision
" [/ y _6 E* _3 o5 j set wealth wealth + Wealth-inherited-low ]& c l( [1 U% G) [$ G" [
[ ifelse (wealth <= (max-wealth * 2 / 3))
% t1 K _- H; E ~" Z$ U+ n [ set color yellow
& D4 \$ Y& y$ s D' J2 \" Y set age 0
9 ^1 o( r2 X0 Y) [ face one-of neighbors4
* u; ^) S) L, |+ }! A7 D set life-expectancy life-expectancy-min +) q! k* g% z8 U4 w; \
random life-expectancy-max + 1
. q! K) M3 |1 O$ h3 _, ? set metabolism 1 + random metabolism-mid% x4 |! T) z9 i' `
set wealth metabolism + random 30# o% P8 K* k5 Q9 K4 I
set vision 3 + random max-vision
' y" w* g5 b: y4 B% A set wealth wealth + Wealth-inherited-mid] F& [; b$ r- X( I) U' g6 G
[ set color green
+ F) I3 i% \! n7 T3 F' x9 k S set age 0
9 p: J% ~% ]! S+ m! y& n face one-of neighbors4 * o& }9 D j* F' u
set life-expectancy life-expectancy-min +
' X6 F, ]5 v' O8 ?- |0 W random life-expectancy-max + 2
1 R: `, ~2 Z5 E set metabolism 2 + random metabolism-up/ \4 E# _. f( g" ?0 y [& i* Z) U" X
set wealth metabolism + random 30
2 d9 C3 R7 q; y set vision 3 + random max-vision
" Y! u. Q# G3 N9 r7 q set wealth wealth + Wealth-inherited-up ] ] 5 v- J$ j9 e$ Y5 s1 V* C b0 X
9 {5 u7 @. G% c# V2 Y n
end6 j! U5 P4 d% ~6 c! }
to set-initial-turtle-vars-wealth
V/ _0 S+ a- ~; m1 f& O3 ?5 f let max-wealth max [wealth] of turtles; Y5 d/ U% R) s& Y' o( m
set age 0- V3 D& C/ S4 o9 J
face one-of neighbors4
3 t. x9 c9 ]0 x0 g5 r# i5 R8 {6 | set life-expectancy life-expectancy-min +
& ^* j4 u9 Q$ f6 b# _8 K5 k random life-expectancy-max 6 [) Q8 O8 K1 |
set metabolism 1 + random metabolism-up
% n) q7 k, Q, {0 y6 n: }' ^2 } set wealth metabolism + random 30& {4 h; Q% x7 v
set vision 1 + random max-vision 2 a& Z1 ?. b# O4 K8 X8 X1 _. B
end
, Y+ o3 V& E& ^2 x- P" |) Ito redistribution
7 y, h" Z6 U, I0 j% \let max-wealth max [wealth] of turtles& @) l6 A8 b, ?% g
let min-wealth min [wealth] of turtles. C) Q( ^/ R' A. D! h; A$ [3 k
if (wealth <= max-wealth / 3), E2 _* ]+ p5 ]: ~: {8 \. D( O
[set wealth wealth + Low-income-protection ]1 k: z9 v$ d' Q$ E7 B
end2 W! ]2 k3 s6 k2 |+ ?' F
}# N9 N/ E; n" E$ n% G- S0 z9 Ato recolor-turtles# j g/ c1 K0 {+ Q1 Q7 t( Z+ C
let max-wealth max [wealth] of turtles" ~! N1 S- u3 W% B8 t% A6 x
ask turtles
! a" Y/ [1 W' h2 }4 W2 S ^ [ ifelse (wealth <= max-wealth / 3)! L4 q$ e$ _! y8 q
[ set color red ], F6 V' |# c/ r: B$ t
[ ifelse (wealth <= (max-wealth * 2 / 3))
6 O4 F! w4 D2 \3 E5 }& } [ set color yellow ]
- G" x, c- j1 U; ~1 n; V [ set color green ] ] ]
* N0 u+ ]# R9 {6 D4 N: F ask turtles [ifelse show-wealth?
6 K- M; V; h2 V4 l5 v% `& H( n8 @ [ set label wealth ]/ M5 [) u+ U& I- Z& J+ V
[ set label "" ]]
; u! S2 ?6 {+ |# T5 B# qend9 a$ W: Y4 v; D4 u" q
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to go( y$ Q3 g, ?4 d/ w7 w8 f; n3 p
ask turtles! Z( V: x4 A3 W9 A$ [1 C
[ turn-towards-grain ] 7 o; C4 a C2 w3 [, w
harvest
( @1 v. L% f5 ?8 u3 L0 r ask turtles9 ^7 {' ]& U6 C1 h
[ move-eat-age-die ]
- U, i: G$ v) @- V recolor-turtles* F8 C2 B) P- h# C4 V" k
if ticks mod grain-growth-interval = 0
4 Q4 m& O4 @/ F/ t [ ask patches [ grow-grain ] ]/ j: Y1 ~5 _9 s2 Y
' y. Q/ f) m9 n* @+ j& e% a- I$ j
if ticks mod 11 = 0
* t% c$ o, `8 c" g [ask turtles, i \# ]% q5 X& @7 L* [$ n5 ~' ?
[ redistribution ]]% o( Y% r! n3 m. q, j4 L7 e3 h
if ticks mod 5 = 0
H6 | U0 O6 S& Y- h, X: L! } [ask turtles1 j5 V: w7 Y! |5 B% \ T
[ visions ]]1 n' g" H% c, ?: n- h+ s, V" h
tick
, a" p* B( F7 U' U update-plots
3 a+ T7 S; ]4 F( f# Q3 V9 }9 {) Yend, W, p9 E- J, @7 j3 m `
to visions2 `4 d7 d2 E! |7 U. F `
set vision vision + 1
( P( z8 d" V5 J8 r `1 rend
6 A0 i. m4 m- s3 Z( m" G- c
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to turn-towards-grain
9 t) r x" W, F0 p3 E7 h/ } set heading 00 F' ^7 z/ a* i% I- J. |* H
let best-direction 0
7 r M- L2 C2 s$ Y/ H, q; V let best-amount grain-ahead; T4 {, ~4 t/ H8 C" L a
set heading 90
( \, [2 | C1 T7 f. T( R3 a if (grain-ahead > best-amount)8 L! e1 `6 z! G# \* O
[ set best-direction 90% j/ T4 Y( p4 f( N
set best-amount grain-ahead ]7 E: n$ R( V: o f7 T, ]: r6 t& J
set heading 180; m# I0 a* g. w* j4 Q- n1 j
if (grain-ahead > best-amount)
" ^8 G" z5 K$ C& c. j8 c [ set best-direction 180! N% g& z- ]$ r4 S$ `
set best-amount grain-ahead ]
n- W7 C: V! E \5 H6 \- C g set heading 270. Q( B" q d6 A: Q$ }: ]! R9 w3 H
if (grain-ahead > best-amount)+ ~- I& O4 M( s3 o9 f; p
[ set best-direction 270
) |- i3 c4 ~5 ~8 w set best-amount grain-ahead ]5 l, W" y/ n" L: M$ Y |( Q
set heading best-direction
% @4 [: C+ |" b0 D& a7 l, K* Hend
2 s' q0 }' B! R( q! b( u! V* \) J3 \0 Q$ v; q
/ c* i0 A/ S1 {/ a ~0 A2 B
to-report grain-ahead 4 |9 O6 b" E' @9 O! W! \# |& z
let total 0
1 W: e' u. q5 z% J let how-far 13 y, ^! f3 R6 T
repeat vision
+ V$ t0 K! O1 E [ set total total + [grain-here] of patch-ahead how-far; P( p( w1 h$ n) l2 k7 d4 M4 b& {
set how-far how-far + 1 ]) \4 A; w1 r# {! m7 Z% W$ h
report total% ]- {6 S' I+ X) R. C- \; }! o9 i
end% d0 X" J3 t6 E: |) y; Z' u
9 l' X0 O- X& N# x/ [
to grow-grain
2 I% `7 f9 f" h1 `; q if (grain-here < max-grain-here)
% J' P/ A; B6 g" J9 O8 @! O [ set grain-here grain-here + num-grain-grown
: Y2 ]5 F2 R2 S0 v* _ if (grain-here > max-grain-here)
- W5 M z- Q& i% w$ I# m* C9 } [ set grain-here max-grain-here ]
9 J) ~! t* l# l# B6 f' |3 e recolor-patch ]' H' N- p( G- U& H6 q1 X6 |2 D- e% S- Z
end
$ {+ ]1 R2 ^4 M4 `8 ^: Bto harvest
/ E2 d4 \) f6 r ask turtles
( ]+ y- i; O; ?9 b7 A+ y [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
/ @ R, k' G# Z& z+ a4 {( f ask turtles
4 f+ P4 A9 }- F) O- Y- D8 e! c# L [ set grain-here 0& m, T" K' v( [- T. v
recolor-patch ]
" t" B" _* B6 I9 |8 d3 W 8 b; Y, J7 K1 A3 A' M% j
end
/ v# W! C: _( B( u" l
1 h" l7 N/ Z$ \) b3 y, \( \to move-eat-age-die
3 k1 e/ q/ W. _ fd 1
! R2 w2 A" U7 j6 ^1 Q5 \$ I set wealth (wealth - metabolism)
; a0 D h' C6 ]9 S! B5 r9 K* X set age (age + 1)/ f: c1 h# R/ \% B
if (age >= life-expectancy)
$ ~$ N* G+ r- p7 ` [ set-initial-turtle-vars-age ]
, g3 }8 D: c0 N/ c if (wealth < 0)" J. M8 q2 n! v
[ set-initial-turtle-vars-wealth ]0 M1 I" H6 U/ ?/ |
* x8 v4 t# N1 o. V: Y5 F5 p0 E
end1 }2 ^' V6 W2 t5 ?9 E) K j
$ ^* i/ G! F9 L4 B' ?/ X! z4 S6 I2 `& `9 K
to setup-plots
9 E' n5 {! K$ @' f4 e8 [ set-current-plot "Class Plot"
6 d3 c1 U% D( i m& }% ~ set-plot-y-range 0 num-people7 ~6 `' e% \+ K7 H. Y
set-current-plot "Class Histogram"2 [) e2 m/ t% j+ z
set-plot-y-range 0 num-people
" i& E4 j0 S6 ?) {& D8 @7 Send
* G+ X$ ~0 a; x& T9 \
" x3 {% I0 \5 G3 e7 u9 A f @to update-plots! D' w& {$ _2 M$ G+ i
update-class-plot3 z2 t# T4 Y( m3 s0 v; r# k1 X! b
update-class-histogram% e- m2 Y0 t4 \8 |; ]7 b0 i
update-lorenz-and-gini-plots
/ B1 x( R! L5 P$ ~2 qend9 Q1 R b$ j+ N8 E
5 G& d N5 _- ~+ a% Y" X( x1 i8 H
to update-class-plot# S$ _; @( G* T& ?! ?$ \
set-current-plot "Class Plot"" G: r; B3 q/ j
set-current-plot-pen "low" t9 [2 K2 J- }+ G; M
plot count turtles with [color = red]/ v/ `( n) M( q$ k1 o
set-current-plot-pen "mid"
! L5 l8 a1 G4 Z1 G0 q! H plot count turtles with [color = yellow]! I9 V) Q# Y6 y/ Y4 s" @# p3 X
set-current-plot-pen "up"
. g9 I" V+ x5 u1 {5 N9 w: | plot count turtles with [color = green]
0 B& J2 R9 _; M3 f! Uend
# |+ n/ W/ y& Y |0 p, r% h4 o: S- ?5 C6 Q
to update-class-histogram. u7 I! M: f9 J! D) {
set-current-plot "Class Histogram"
8 B) [$ q: {* y: H- E plot-pen-reset! n) t7 ?. J6 K/ T
set-plot-pen-color red
2 Y4 O" L) [7 v* o( I+ R. |2 m- @ plot count turtles with [color = red]
9 @$ k+ P8 n' u# h7 T% X1 `/ U set-plot-pen-color yellow# [- N( S/ ^" Q
plot count turtles with [color = yellow]+ Q+ b# A+ J! y J
set-plot-pen-color green
3 L3 m7 _; }" ]* B5 H plot count turtles with [color = green]
5 d$ ?9 u" o w) y5 M: dend
8 u3 W& x8 ?, {0 V5 r" h3 e8 o7 @to update-lorenz-and-gini-plots
; z+ H* b. l% y! m set-current-plot "Lorenz Curve"
+ E" L+ c& ^8 P: ]' A2 l clear-plot
% O7 o8 u( |" Q8 K, q2 G+ O
0 S$ i5 ]! ~* Y set-current-plot-pen "equal"; _. J" {+ M/ K
plot 0
s+ s( s; `7 ?' j/ ? plot 100
! N7 I' f9 t) w9 p' ?6 v: D2 ^# J$ L6 ]/ _+ Z
set-current-plot-pen "lorenz"
5 B# m# x7 {: q0 Z) ?( r, E set-plot-pen-interval 100 / num-people2 X3 N8 D+ ?& t; F
plot 0" l: w2 m. z v+ ]8 ~& K
% u6 o7 d; h' m( D) H) y, |. B
let sorted-wealths sort [wealth] of turtles
) Q0 f/ d3 U$ U5 { let total-wealth sum sorted-wealths
3 {( T: Y- Y9 p8 e% ?0 c* h) x let wealth-sum-so-far 0' W" R; K+ g7 b5 c
let index 02 `2 B& W1 _6 {0 C
let gini-index-reserve 0
6 U' w/ l6 c5 e" ^$ m4 T5 W* X0 s$ Z6 [0 d8 V
repeat num-people [9 x, l) u5 \8 g X& x
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)0 f/ v" z+ g: t! v
plot (wealth-sum-so-far / total-wealth) * 100
7 {- a8 N2 U( e8 o" w7 r9 t4 J set index (index + 1)
8 s J5 Z% O. ^ set gini-index-reserve( u* I. O) v( [) @: c ~0 Z: I& V
gini-index-reserve +2 n, i6 j" U9 c
(index / num-people) -
8 Z5 t7 @# j7 y, ?( V+ P. m' o (wealth-sum-so-far / total-wealth). S O' w0 N* v3 P2 }1 X5 Y. T& [
]
9 }; d5 g+ Y. g& n
6 c4 b; O) b6 }" R, [ set-current-plot "Gini-Index v. Time"
9 F7 L( h' g2 |: y plot (gini-index-reserve / num-people) / area-of-equality-triangle
& _( `& V8 Z! r, S1 _end: n0 S. M$ T/ w
to-report area-of-equality-triangle
% j! S! O5 H" @; n+ O$ o3 ` report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
, x; }9 x) U, r3 S( \: Pend |