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" o+ @5 t7 H; {% W
globals
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: ?# o* \/ }/ K max-grain 5 i0 V1 R3 E6 z+ d2 u
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]3 H9 K1 O4 k; Q+ ?' X
% p" V) e5 ^ b1 z' V3 q
patches-own
2 s: c/ x8 n! H+ n[
7 Y ^/ e8 |! b! Q* Y9 v" @9 I2 v6 j grain-here + q5 `6 \( k2 B; f" J
max-grain-here
' `3 P# P" ]% L* N]& T! G& Z+ h. J
; X6 G- ~' u7 S/ a$ ?
turtles-own
/ _9 Q6 l$ H V( _2 e[" K, E! c; B/ u! m/ o
age
0 U* i0 \( ^( f' A7 X/ g9 J2 n% U wealth 6 O0 y$ J* L5 k/ l' I* b G
life-expectancy
( w: w3 V6 N- J8 P+ h+ S metabolism
" [9 V" S2 Q Q. J! K vision/ S( s2 X, b* w: X1 _8 ^
inherited
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' {8 J! p2 `1 ^
to setup
! j5 S' _# R& X' } r ca
$ U: P9 B7 {* P4 ^2 d+ { set max-grain 50$ N" S1 U4 I, D
setup-patches# Q% ?$ O# L p c9 w" e
setup-turtles
; o+ W( M. d% i setup-plots) v* X( A' O. u) a% d$ ]+ ~$ Y
update-plots
3 b9 D; E' T+ Y/ m# Y! b/ Nend
3 V; }6 e2 d0 e3 j6 Uto setup-patches( Q( X* j4 r3 U/ |# k& l7 n# `
ask patches( L7 L* j D* i% w0 p& e
[ set max-grain-here 0. n% F4 S4 u9 G f7 e4 `- z
if (random-float 100.0) <= percent-best-land$ P. X/ M5 i4 K% a5 l
[ set max-grain-here max-grain
$ W* b) @5 P" r1 q9 n set grain-here max-grain-here ] ]
$ l2 n8 A3 T! |% t repeat 5+ w1 O& M& P0 h+ z% c
[ ask patches with [max-grain-here != 0]
* |( s7 y$ W+ n# L% t# r [ set grain-here max-grain-here ]
: T8 Y- _$ |, m3 y* L8 U diffuse grain-here 0.5 ]: F6 O% L$ A: o3 X7 k1 Z' c5 t
repeat 100 Z! R( N8 j1 @& m2 t
[ diffuse grain-here 0.5]
, t' j2 w. i& {- g) z ask patches! Y: ^: ?, v& e# T6 h" m, w: A
[ set grain-here floor grain-here 1 F* l+ |2 b' i, u; f
set max-grain-here grain-here 2 _( x1 f- d, K3 i
recolor-patch ]
. t+ N- H' Y$ v: }" z: z. nend$ U, o, u Q. O: p, ]
to recolor-patch
8 n C: s' w& g: w2 ` set pcolor scale-color sky grain-here 0 max-grain. l6 V5 _8 ~. }. C5 N
end
" m9 Q& c& _7 nto setup-turtles
4 ?# g2 Z6 {. ?+ O4 Q set-default-shape turtles "person". j) `. {% ]7 _5 k5 z8 d. Y* l
crt num-people
* X, t: j: f6 J6 r! H4 J; x, ~ [ move-to one-of patches
$ I' g8 i% U5 T set size 1.5
& Z. a! Z- H2 U% j3 b+ v* |8 T set-initial-turtle-vars-age
3 |! f' Y4 P& ]) g+ _4 y. b! o set-initial-turtle-vars-wealth
7 _5 ~! n* y6 |" L' O E- Y set age random life-expectancy ], c6 v- E' E& U% `- h
recolor-turtles( N* r- X9 U* I6 p1 {( z! o- i
end; e9 f9 @9 d q
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to set-initial-turtle-vars-age
. f( `) B7 d* |- V% S1 a) w let max-wealth max [wealth] of turtles
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. M& E' B* |* |! T ifelse (wealth <= max-wealth / 3)
: |3 x; O% y1 ^& E1 B [ set color red / P- m5 j7 a3 U" {
set age 0
# M! f' d6 p( v. o- j1 d face one-of neighbors4 8 f* B4 y! S6 o
set life-expectancy life-expectancy-min +; I' d. G, b% f4 `, E6 i* O
random life-expectancy-max . y* v6 `9 k( T$ M/ L
set metabolism random 1 + metabolism-low1 B8 ?- k& O0 W8 h' v; U
set wealth metabolism + random 306 c) d- p8 ]) l$ h Y/ l. t
set vision 1 + random max-vision
. O8 x5 ~/ t2 j- i/ ?0 G' M1 f. Z set wealth wealth + Wealth-inherited-low ]
; ]5 G- g. F9 b! B' Q [ ifelse (wealth <= (max-wealth * 2 / 3)): L, c+ y- j, s0 [- M* S
[ set color yellow
. T1 {& T& w8 z/ u set age 0( T8 K: W6 D4 f: |7 o3 W) T
face one-of neighbors4 ' t. V3 w4 |$ V+ n3 ? {/ N! h
set life-expectancy life-expectancy-min +6 I! x/ K) i; M* Z
random life-expectancy-max + 1
S( m; }! r- C set metabolism 1 + random metabolism-mid
* L. n! q: e( c" w set wealth metabolism + random 308 Q0 T( v% Z" j" X- ?0 N9 s
set vision 3 + random max-vision" ^! r6 G. a2 i$ }) w1 G( ?
set wealth wealth + Wealth-inherited-mid]- W, n6 T9 M; \/ |0 Y
[ set color green S1 F0 d1 v R/ s4 e, ^
set age 05 ?4 X9 h& C( M A
face one-of neighbors4
- u7 \4 N- G8 B% K% [2 y. H set life-expectancy life-expectancy-min +0 w" D$ b9 |0 h( {: \5 E
random life-expectancy-max + 2
& Z' ^$ t3 E3 u set metabolism 2 + random metabolism-up) q0 A& P' f5 z* o6 @
set wealth metabolism + random 30
) R% K7 ^! l8 c( n" v set vision 3 + random max-vision, M/ _8 _* m" c' c4 e* k0 n9 f
set wealth wealth + Wealth-inherited-up ] ] & s3 h& d% ?! {6 c
& N- {7 @: w& K5 U& \: T+ Wend3 f# q; |: f; c6 y( t4 E1 K
to set-initial-turtle-vars-wealth$ C; w; u6 ?6 S
let max-wealth max [wealth] of turtles
* m, `& X( H: M0 e4 N$ q, E* x set age 0
. m6 V2 [' ~4 k# P* \3 \ face one-of neighbors4 ! o6 a# G; |; J$ ^
set life-expectancy life-expectancy-min +
# E9 W! H6 G1 _: S random life-expectancy-max
7 c8 b1 j; G/ u+ h$ x" q. ^ set metabolism 1 + random metabolism-up
2 f& a$ |3 Z" m+ f' x! M set wealth metabolism + random 303 B4 A% j7 l* w _+ q- q$ Y2 Q
set vision 1 + random max-vision ' X3 k" F3 }* X9 x! i& P* `2 Y
end! C$ T6 Q5 J1 m2 ^% F/ z- j
to redistribution
( t! ^6 d$ G/ K" j. M- g' alet max-wealth max [wealth] of turtles/ l6 C, A% A0 ^/ Z( I+ `
let min-wealth min [wealth] of turtles
* G6 u2 r8 n1 a& Sif (wealth <= max-wealth / 3)
+ k6 g. h" l8 I% v% L/ L3 k+ |5 i [set wealth wealth + Low-income-protection ]! N5 c! x5 m4 I. `9 }
end+ ~1 J& G9 Z) [3 [& H
$ U6 ~. [) |. n# Eto recolor-turtles
/ N( U& K+ R0 q; {) i let max-wealth max [wealth] of turtles
: v- V2 d, D1 v5 A% C ask turtles
# \4 p6 e+ O# i V/ {0 g# J [ ifelse (wealth <= max-wealth / 3)( T* A3 F9 [' a) \8 o9 a5 s% `- L5 I c
[ set color red ]
# u) Z w7 f4 r; k [ ifelse (wealth <= (max-wealth * 2 / 3))
( y: K/ U! G9 Q# K7 c1 Q' }- y7 i; _ [ set color yellow ]9 m6 z4 c8 }8 X0 C( A0 ^4 B
[ set color green ] ] ]
$ m2 k( L. X7 P ask turtles [ifelse show-wealth?
2 ^& c! Q2 }# ? c8 _9 ] [ set label wealth ]8 _( h* @% z7 K0 v
[ set label "" ]]
, X( Z9 r- ^9 T; G1 \end7 {2 {( I) O7 e7 O% [* p
- w; ^( c' s' M( G: cto go! j, Z; d* |1 e5 t- g
ask turtles
+ z7 p3 l6 X7 o+ n [ turn-towards-grain ] 2 J/ W" M3 q/ O
harvest" r6 \0 C2 U) w! j3 J2 f" f- p
ask turtles6 H) o; \' }# Q& f; t
[ move-eat-age-die ]3 h' o9 C' X6 f6 v9 h0 k0 \
recolor-turtles. |5 `9 g& f8 J0 }1 a! |: i
if ticks mod grain-growth-interval = 0
( T* d* a1 N7 z1 ^& `; c6 l [ ask patches [ grow-grain ] ]
0 m+ g+ q8 o( y$ w) }; m
: T' |) ^/ X( o+ A" e if ticks mod 11 = 0
& a0 q8 ?: ^7 z6 i( T' B, N; O [ask turtles
* X% o& K1 I: {" V& w [ redistribution ]]
4 E$ z# W v* }6 ` if ticks mod 5 = 0
, i8 N! X; F8 G: y) r [ask turtles
2 K, h& i$ Q7 h3 b4 J8 b* }& q [ visions ]]) u+ H2 m& F% P2 O+ {6 s8 g- D3 B
tick6 y+ Q; _0 N9 l8 |' X- r
update-plots
" P5 }1 }& V) ~4 x3 b+ Send
* S0 I: m0 @6 ^& Nto visions/ q: b# M4 o& p9 z# A
set vision vision + 1
# P" Y/ {: ]) s& v5 Hend
) T0 t6 {6 b8 E' h
- f+ L( C. q4 u6 b2 s
! @. z- [ H( l
_' [% @9 N2 cto turn-towards-grain
! ]& j. @: I& C) j* C; q set heading 0
8 U6 T4 J9 [$ K+ ]! z5 q+ V let best-direction 03 x R: R" j9 V' G" y
let best-amount grain-ahead
1 |; j$ O* U$ b/ |2 g set heading 90+ Z1 P! ?+ Z3 f6 f
if (grain-ahead > best-amount)
: A& ^1 V/ B( N, t: G8 L" I/ X4 z [ set best-direction 90
" D. G9 y; D+ K: D/ e x' r3 C set best-amount grain-ahead ]
; b+ @- K' T$ A E6 \* v& K set heading 180 z4 K# E( `& J+ B1 ?: C
if (grain-ahead > best-amount)+ `% U2 W/ k2 t! F- l" _
[ set best-direction 180
/ h6 k& O. T7 B8 s) l! e1 r set best-amount grain-ahead ]4 T/ o+ A/ R4 n( p$ U+ `9 C1 r
set heading 2703 e+ B' X% U, A: F
if (grain-ahead > best-amount)
) q! C* y5 o' }/ L% K [ set best-direction 270
4 j6 W4 A( Z6 { set best-amount grain-ahead ]
- q: l- Z5 P1 @2 F set heading best-direction5 I0 R }+ D, F- ], |
end
O2 i9 [; z/ u) Z+ H8 m% Z6 F; `. E! L
# S2 l! |# f# z. D2 {+ Xto-report grain-ahead
3 ~0 D7 j( q) M+ `$ P+ L let total 0
3 ]/ b; `0 J$ Y let how-far 1
8 z0 q* o6 U/ w5 b repeat vision9 _9 D" {% v- b. s9 C0 [5 O
[ set total total + [grain-here] of patch-ahead how-far
% s/ f. ^6 V1 T5 n. X set how-far how-far + 1 ]* c8 J# H) W7 D
report total
4 j: |. @3 _# b/ y% ?end. J3 K( s9 E4 U
3 X( l: L6 o6 c) G7 zto grow-grain $ ]0 H; h7 X3 x$ E- g; n) S" ]" k
if (grain-here < max-grain-here)
2 e1 [7 ^5 F+ h. d' s* w# L [ set grain-here grain-here + num-grain-grown
7 f" A8 K% L, D" [' N if (grain-here > max-grain-here)
: g7 H! |0 C3 F- A [ set grain-here max-grain-here ]+ |" [( B. M+ A
recolor-patch ]4 E) \& ]0 o, b
end
' B$ a& A: ]% V8 a2 kto harvest4 _. X$ r# t, j$ {( p) J+ q* V, \
ask turtles
6 ]1 _+ Z' W" S$ R& x0 j$ L7 s [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]5 ]8 s! [# S2 u0 @
ask turtles
3 x( n, U% w8 [. i [ set grain-here 0
- ` D" n( ?* t recolor-patch ]& ?& u- v: T4 y. L& M. J1 [
8 E+ ~; ?7 v# ?5 a8 J6 T2 C
end" t0 w, m2 G) g, ?2 O
4 k8 c1 k3 `/ p& X
to move-eat-age-die + a# H# ^# Q/ _8 n6 N9 K4 t
fd 1
- r4 s: e9 p+ T1 g set wealth (wealth - metabolism)
' I7 E6 W* R" }& X set age (age + 1)' A2 e; E% R0 p4 Q" g
if (age >= life-expectancy) a* P0 N# \9 F) y
[ set-initial-turtle-vars-age ]3 x* W9 D3 V) @- ] {
if (wealth < 0)
6 g- }/ A3 M+ ^1 q [ set-initial-turtle-vars-wealth ]8 s& ]& ^ t3 W; x; t
5 S$ s5 |( J$ m$ `4 mend
# n0 B2 F( B; N _* |, w& T1 n, |. z5 v' o: \# O3 I! h$ k1 [5 A
+ V1 Q' g* F# t2 U) \3 i8 t. K) s W
to setup-plots
2 s3 p8 f& k# u8 n4 g) F) f4 V' |2 s set-current-plot "Class Plot" o4 q5 A7 l p% ?
set-plot-y-range 0 num-people+ D4 q: G/ e9 k& t" k9 P
set-current-plot "Class Histogram"1 O7 e+ E+ |( }7 v. G" Z
set-plot-y-range 0 num-people, {7 E6 V+ V/ j$ e4 Y8 O6 I' w
end; V1 Y. J7 G+ i- D% K
$ q# q3 v& n# ]+ m, S( |9 u
to update-plots
1 \& V( X; n, _* p update-class-plot
- s, o% O2 X& L7 p: y update-class-histogram
6 {9 D% T$ u B1 d" V- l1 a update-lorenz-and-gini-plots( i4 J' y! _* ^' n5 Z) Y; m# {
end
( Z7 N$ H9 S4 l; ?( d: x$ E7 Z4 W: w% M$ ~" }1 \
to update-class-plot& |7 b$ Q) f, ]
set-current-plot "Class Plot"! a2 Y! Z3 f' Y0 S+ C6 K
set-current-plot-pen "low"* a: b3 c7 ~5 Z$ e
plot count turtles with [color = red]( k8 u" O5 C2 C- f
set-current-plot-pen "mid"
6 I! j% a+ Z- n C8 l w plot count turtles with [color = yellow]" S0 Y& P( _: N
set-current-plot-pen "up" Q( N9 e& g S/ s6 C/ x
plot count turtles with [color = green]3 b. t i% }6 W
end S( J/ {. j( n8 ]( x/ q" Z
' R$ j+ y- K/ ]6 Lto update-class-histogram# v$ l2 Y) R* x+ B/ I
set-current-plot "Class Histogram"2 e; s$ p$ E8 m* W. `) Q( i
plot-pen-reset7 [! j) @$ _: M5 y+ s! l3 P, O
set-plot-pen-color red9 H" O% x7 l, H. y! y2 q
plot count turtles with [color = red]
! [! W( K" D0 U) t1 e4 A set-plot-pen-color yellow$ A# [1 b0 v! `: T% ?# w# ^8 h1 s
plot count turtles with [color = yellow]
+ Q- |6 J' x4 r- C- A& Z. F0 L9 h% \ set-plot-pen-color green8 {* w( z5 G: N% G$ M% ]+ T
plot count turtles with [color = green]2 u: {& m4 G. L6 y+ m# _7 N# L
end4 ~5 _) G3 @8 d% U. U* v5 _ R
to update-lorenz-and-gini-plots$ W2 ^9 k8 \0 A1 R6 [* z
set-current-plot "Lorenz Curve"
& Y( [1 I, S. Z clear-plot2 `' s3 W3 T. C4 U
; d" S6 Y [8 C
set-current-plot-pen "equal"
9 @, h b+ C# T: |3 C9 z plot 0
% p" R' F; _1 Q. W plot 100
7 w7 h$ ?( D# a, U0 e1 K8 _( j2 y5 @) N* \
set-current-plot-pen "lorenz"" r- S7 L* ~$ N2 W
set-plot-pen-interval 100 / num-people% E' s& n" o# j- ^
plot 0
: T- I2 T% m) o. o# V2 K6 f- S, X0 T L5 c' }. C
let sorted-wealths sort [wealth] of turtles
5 Z p O: `* q y5 I let total-wealth sum sorted-wealths1 V( G" m5 y" U/ X! u
let wealth-sum-so-far 0
0 ~6 `7 g9 A$ I4 W) S let index 0
" w* l* {$ t- H- v9 E2 D let gini-index-reserve 0% F- t7 I* A, G
& h. l7 ^; _* P# @- Q2 b* b
repeat num-people [3 g2 ?0 F: v- v" w m- a
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths), a# \" g" y2 X) P* v% i
plot (wealth-sum-so-far / total-wealth) * 100( f* @3 i3 O* e; j
set index (index + 1)- w; z+ H1 {0 B
set gini-index-reserve8 I; @7 G# g/ }$ d. @" P
gini-index-reserve +8 _5 v; B; }8 T
(index / num-people) -3 I7 W9 X+ m) b: u
(wealth-sum-so-far / total-wealth)
" h( q" z8 L; ?/ s9 s ]
( w1 G5 K; p% _( f2 ]8 d
! [& [7 j( M& P set-current-plot "Gini-Index v. Time"
U- J/ k( w7 U; i. Z plot (gini-index-reserve / num-people) / area-of-equality-triangle* }0 Z+ l* ?# W9 @; L
end
2 K! l- O1 [, B( Pto-report area-of-equality-triangle2 ?7 L8 m8 K. Y6 K8 E
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
) e/ i* N* l Y8 |( ^4 M1 g' eend |