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
' r! ^5 A+ F. T& r% |. I' bglobals
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* E4 R5 |9 T; p2 J4 N max-grain 3 i' P0 D. n# w; @
0 o c6 O! f9 r' q9 I
]7 Q* X4 J6 v# Q& y
: i5 G" ~( i& t O& qpatches-own
# N& \4 F( a8 i$ u |' ]$ v+ E[' E! _- _- ?6 R2 C0 x1 [) M
grain-here , p, E: f* J% g8 b& X
max-grain-here
/ c* y- g$ [- b% f9 H% ^: l# m v3 c Y]8 b% k9 W6 k1 _# J# J. F" K/ m8 W
/ y1 ^9 e4 T3 M# A2 ]turtles-own) D9 b3 X5 D0 P$ d* ^7 y. _
[2 I9 V+ m& z6 e- m5 X
age
# p! d( j' }# t/ w6 h0 N4 [/ e wealth $ j$ y5 K) j9 u% N. E) j
life-expectancy
# L" d: J9 L$ P6 g2 S& i metabolism 9 v4 ]- V2 ]4 a5 \& H. T
vision0 v# }" ~: S# D5 e
inherited
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to setup
$ F; ?7 T' X7 w% X. D1 O ca: N& j/ [( M5 {, B
set max-grain 50/ h5 i7 ?+ q# `- O7 m) L% Z$ `
setup-patches' c" c) \% u( Z# L6 ^; J
setup-turtles
6 w. H( w) H* b# d- ^ j7 R9 c setup-plots: Z: }6 Q, X$ g
update-plots
: }4 w. y' @$ F9 \+ xend* [( y' G! U5 \
to setup-patches% q+ Y( W, n% R! [/ @
ask patches
( I8 k" g( j- f' g, h X! g0 g [ set max-grain-here 0
$ c% S9 A9 g: | if (random-float 100.0) <= percent-best-land# p% l: ^+ W x5 C: l
[ set max-grain-here max-grain
/ M: J/ X, O" o* T3 I8 W% Q set grain-here max-grain-here ] ]* q) T @6 k: P+ m5 C" V* g# Y1 C
repeat 5! k8 K0 [+ X" @7 F" j8 _
[ ask patches with [max-grain-here != 0] m+ \; V5 v* \3 z) S4 q; W$ T
[ set grain-here max-grain-here ]+ L3 |1 |9 N2 |0 O3 w+ v
diffuse grain-here 0.5 ]
: m, _& r: o4 n1 e5 ~9 S" {# z" d repeat 10/ n" e* p( Y* M2 ]
[ diffuse grain-here 0.5]
8 }& c$ t+ \% m. A2 J ask patches6 g+ [6 R- S. {' D( S
[ set grain-here floor grain-here # A$ e; p7 L$ a* T( N
set max-grain-here grain-here 1 p8 |8 y( k; |( E, a- U
recolor-patch ]
# u% }+ g+ }* a. Bend3 z. x; {7 a9 p) c# W0 n2 U: G
to recolor-patch 0 J1 T' h9 T7 w: U6 G, Z1 I
set pcolor scale-color sky grain-here 0 max-grain |% X1 G+ t1 j/ L8 A
end
6 p6 e0 {; ? dto setup-turtles
& U8 m7 L8 W& c set-default-shape turtles "person"
& k* ^/ Q0 f% f" k3 J' k6 t; {) U crt num-people
, z4 g, \3 A# D& N$ L% t [ move-to one-of patches
8 @4 N$ ?8 V5 x set size 1.5
! p) p3 _4 }' C; r' O set-initial-turtle-vars-age5 u0 q7 I- v P8 i; _6 ^
set-initial-turtle-vars-wealth
' |) X( d) G0 }) b J$ w. r set age random life-expectancy ]9 Q% U! o7 J1 C" [( j" X: _- X
recolor-turtles
7 U( f; O' L1 ~4 }2 ]5 x, |end. h# {' ]) I1 w9 `: ~8 L
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to set-initial-turtle-vars-age) u& R4 |$ H& z5 ?1 \
let max-wealth max [wealth] of turtles
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9 i. M. b! w/ v7 W ifelse (wealth <= max-wealth / 3)
: \* N" M0 A% S& c5 ? [ set color red 3 J0 F0 j6 L- y. D
set age 0
6 K4 P: b9 e, R; L5 {9 G, ` face one-of neighbors4
- R( b U7 a5 s1 w# C set life-expectancy life-expectancy-min +) |+ \' H6 i& O
random life-expectancy-max
# H8 x- O3 @$ H/ _. X6 ^6 q1 P& A set metabolism random 1 + metabolism-low8 F1 Y; d- p4 |- ], W
set wealth metabolism + random 30
! h6 S6 X4 ^8 n+ ^1 m+ o9 u set vision 1 + random max-vision
B) I' Q( O5 ` set wealth wealth + Wealth-inherited-low ]* d5 u5 f6 i5 w8 A* Y2 j
[ ifelse (wealth <= (max-wealth * 2 / 3))+ d) Z' e' `) r E# `$ |
[ set color yellow
% q# r3 {0 F& W! t; S3 Z set age 0
3 Q8 ~) M2 u* H& x face one-of neighbors4
) s. ? o3 q' O0 M: k! y set life-expectancy life-expectancy-min +. Z9 q" w7 x3 k+ C7 m8 i$ d( j
random life-expectancy-max + 1
% t1 C# c7 S4 o- j. D set metabolism 1 + random metabolism-mid& M, X3 p# p [& i* X- t
set wealth metabolism + random 306 y0 T* I$ e7 B8 O% g! r
set vision 3 + random max-vision+ T4 j7 f5 ?7 n9 x9 L6 x9 x+ `6 i
set wealth wealth + Wealth-inherited-mid]
* V$ H, T. p! `1 A T+ e4 g; M [ set color green
6 i4 U& o# X' S7 v" n9 l$ j3 l set age 0) N$ I' s1 b8 o& B! V/ t
face one-of neighbors4
9 ^% ], t% }! z: M& N. p) C set life-expectancy life-expectancy-min +7 ~) T1 {. k0 m
random life-expectancy-max + 2
" Y2 Y8 e3 J7 j$ p set metabolism 2 + random metabolism-up+ S! q9 ]! e9 b/ k# |, y
set wealth metabolism + random 30# h% W' j2 H8 _3 V' P$ [
set vision 3 + random max-vision% Q5 t0 |5 h r" ]" @4 i) r
set wealth wealth + Wealth-inherited-up ] ] ( A. u. N/ ^1 e: A# }$ T8 e/ @
' p! ^: {7 L Q, A6 x9 eend4 y& D8 D$ O5 _. |* B" G" }
to set-initial-turtle-vars-wealth8 g, J* E& A1 x$ z& o' q1 E
let max-wealth max [wealth] of turtles
1 Y. U$ M7 K% X% ^: Z set age 0
2 p) U. M- I0 _+ q face one-of neighbors4 - u& k8 n8 T0 P$ v' z2 g. ?
set life-expectancy life-expectancy-min +7 b: Q0 g9 l1 A! a
random life-expectancy-max 8 r- ?, F( c( Y8 S* `4 m( b% T; @/ _
set metabolism 1 + random metabolism-up0 f2 v4 { [1 F2 U/ ~2 B4 z) g! }! k
set wealth metabolism + random 30
! W; `4 v/ ~- R, Y7 y set vision 1 + random max-vision
' W9 @/ r6 {( `$ [% M4 aend H) b* w' I$ b5 K* J7 S1 `4 j4 X
to redistribution
, M2 m+ j# _& B2 I+ {7 ulet max-wealth max [wealth] of turtles
0 j% B. d0 i0 M% K9 ~* P6 ~; o. Rlet min-wealth min [wealth] of turtles
" d" l) ~4 W7 f9 I3 _; Hif (wealth <= max-wealth / 3)0 L8 e6 x' \5 E" m0 _. ^4 C# r
[set wealth wealth + Low-income-protection ]% Q- ?% k0 w; u* \ v
end
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to recolor-turtles. b9 R* j5 c: _) B* R+ Y
let max-wealth max [wealth] of turtles6 M7 V& t6 _) ^
ask turtles
/ l3 ?, M6 z5 s6 }+ m# o) p4 O [ ifelse (wealth <= max-wealth / 3)
# ~$ w+ Z' } `9 l9 u/ Q [ set color red ]# Q P O7 o' u" q
[ ifelse (wealth <= (max-wealth * 2 / 3))3 a# a& ]! @6 U4 K. f' S
[ set color yellow ]$ C8 H _4 m* g- A1 p
[ set color green ] ] ]8 B5 h. I) M' f' n- n8 O# _' q0 Q! A
ask turtles [ifelse show-wealth?5 Q( ~+ d9 R; L- I7 E
[ set label wealth ]
( S& S/ O6 u. H5 C1 Q4 ^& g [ set label "" ]]
6 _6 ~2 v' k: y6 uend2 X% K. b/ _3 C6 { S
- v- z0 N; q/ u# f2 S9 ^, ]6 ~$ Jto go
4 V) R! }) M% E6 F6 N4 O" G ask turtles- @8 S1 Y3 q9 b8 R# B+ w' b
[ turn-towards-grain ]
; K6 S0 `. |7 Y% O" i w i harvest
8 w% p F! v, s ask turtles1 g, |8 b+ S! d T5 S
[ move-eat-age-die ]- k3 V$ o- O$ R* y! b1 }- d" }
recolor-turtles! R. r% ^1 f. r+ U
if ticks mod grain-growth-interval = 0
- Z3 Z2 m, l6 q2 A4 h) U, g9 s. K [ ask patches [ grow-grain ] ]7 {5 ^! ]* }* J
$ u! L& K0 f* ^9 N- L if ticks mod 11 = 08 I! G [+ S6 ^5 X: D
[ask turtles
) j; H5 o" ]2 v9 I1 x# Y8 n8 G [ redistribution ]]
$ D; n# @+ f% a) R if ticks mod 5 = 0) E/ d7 G8 o7 s ?, p0 ?
[ask turtles" A+ R- S. K$ }$ I
[ visions ]]6 A3 u9 Y2 A O9 Z
tick# U4 G! L, p, J4 ]( v; e/ l
update-plots
# R- A! [, J0 s* {) B( C3 oend
3 }6 v2 V6 |9 v$ D1 p3 R0 e. g" jto visions
6 P% X2 G0 P% F set vision vision + 1
5 H, M$ g0 \. o7 E9 v( qend7 r0 j8 a7 Y) s# T3 C- i" x
3 ~9 U* z2 Z9 t" k" o, a9 T- E
8 C% {. l( Q& d" \3 a& |* Y
6 M r6 @2 ?$ f0 G% Bto turn-towards-grain
) h5 T; ]0 y1 X7 D, a' e set heading 05 Z4 X1 [ U# G
let best-direction 0
. i1 p! B o- \ let best-amount grain-ahead
7 O/ f- T( o1 v5 P9 \( ?1 a set heading 90
8 r, T( S8 h) H% N if (grain-ahead > best-amount)
Q. H% g% }' q& c/ K1 ^& v8 y [ set best-direction 90
& |7 ]3 d8 o1 h: J& \ set best-amount grain-ahead ]
4 v' `, n* r: ~- ^ set heading 180/ E* ^0 \2 N& T3 R
if (grain-ahead > best-amount)4 E- x6 |5 B0 i3 t
[ set best-direction 180
+ Z+ h4 p. z- F6 O% U set best-amount grain-ahead ]; t! E2 s5 }& ]
set heading 270
# I4 z5 h) @6 V# Z if (grain-ahead > best-amount)
5 y! q; d4 ]0 ^( ?; G [ set best-direction 270
?+ f) O; E6 e* O2 V$ P set best-amount grain-ahead ]- u g' e% d2 _
set heading best-direction
" b, j, i' c7 b- \2 Rend
4 c3 \% A3 r# r, L3 A j* {
U' x5 w( _( j5 |) I3 R9 L4 q; t/ d5 ?, c) R& T
to-report grain-ahead
& K, N6 r' u- U) H7 Z$ E let total 05 F" b: \3 i5 A# m8 C
let how-far 1
" H. c, n2 L* w" H) ~1 b repeat vision
. @. u! Q6 m% V2 X- e/ e [ set total total + [grain-here] of patch-ahead how-far
) s/ @0 n9 [! ?2 p& z2 S set how-far how-far + 1 ]
* ]0 W! Q. U% X0 j- U. Q! U0 a/ m8 f report total
; K0 m8 y: @) @3 Nend
' \* s+ }0 |, ]: t- A. H9 i1 K+ ~4 v' k, \
to grow-grain # [6 z2 j! S9 v6 }+ ]
if (grain-here < max-grain-here)
# O* ~/ l& S' U$ J) @6 o [ set grain-here grain-here + num-grain-grown
% u! s1 y3 w/ ]$ f5 f+ j/ B if (grain-here > max-grain-here)
! W( c- ]( F. ^$ D' ^ [ set grain-here max-grain-here ]( j. G1 m5 S1 ^- T/ R
recolor-patch ]1 a3 _& P+ d' m! Y
end( ]6 T5 T. b: G& G
to harvest% R1 l9 s% u& _# Y
ask turtles' g$ m6 t( t" F' I( K, n# l
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ] r$ b0 V) f0 G% y5 K, M, e& i$ k
ask turtles
$ z7 M8 `; J/ H [ set grain-here 0
1 _% K* y# S: O) R7 G% A recolor-patch ]
. h( U+ y$ N* ]2 J! U8 e1 c 9 k1 U8 W7 v7 A) N( f) ?
end2 ^ `: T4 I7 X, \) V7 P
4 f$ |" [2 _2 ?0 C8 W2 \; tto move-eat-age-die
+ ?9 T4 o( h) k; V fd 1& V; Z! h6 L6 y! M) ~: D' I; A
set wealth (wealth - metabolism)
4 S* x j. _/ L- i9 C9 H: j set age (age + 1)
( A5 z. U7 _5 j i: o4 P9 M if (age >= life-expectancy); c, ^! \* j _
[ set-initial-turtle-vars-age ]8 G) L+ ]9 j/ Q: V! P8 s7 x P' o; \
if (wealth < 0)$ |# w* X' o. l$ w7 ^
[ set-initial-turtle-vars-wealth ]
& v; G9 h8 i, U V
, t! x N0 t2 ?2 @& nend1 x" O. u) n, r9 m: ]5 D5 W3 K
8 _/ ^9 t9 G: J( |
/ l0 Y( f t4 B3 T$ Uto setup-plots
5 V4 p5 q+ M+ A5 n! P0 A set-current-plot "Class Plot": e( v4 a7 J+ t: E& h5 ?. O5 O! l/ x
set-plot-y-range 0 num-people
0 s* V" ^) ~0 W( s set-current-plot "Class Histogram"1 { h3 v2 g8 T: Z- x7 v- w+ j! F
set-plot-y-range 0 num-people# M5 r% f. A+ R4 J4 _3 G
end. b( Z+ a) D2 T8 R8 n7 e
! G* b! F k! s( k; xto update-plots
& z/ M) j; A+ Q9 C/ b9 X$ o- k update-class-plot
* H2 [3 n# h$ u- i0 P8 e+ q update-class-histogram, f: e- s$ V$ G. b. b$ t9 l3 ]
update-lorenz-and-gini-plots8 e, G0 W# @) s( \
end
0 Q* J8 |$ f V$ \* u+ K7 j! k) u6 s$ x
to update-class-plot- w- J% Y' z& w% D$ |( [5 O+ E
set-current-plot "Class Plot"; F( S) `9 N4 r) N$ _8 g+ P
set-current-plot-pen "low"
+ }; Z3 a; x8 j/ q plot count turtles with [color = red]( l, k0 h! p" v9 k! X( y. y2 q: M
set-current-plot-pen "mid"# M6 D* R2 H( o" V7 M
plot count turtles with [color = yellow]
7 o* q( Z% e9 z! a set-current-plot-pen "up"
& R* B7 q9 k+ a4 y3 d, c/ B# |7 @ plot count turtles with [color = green]$ `1 }% @# Q6 o @3 }; g
end
) n' e. s6 t5 ?. l; M. r: h; ?: c* |( ^3 @9 z/ q' f' O
to update-class-histogram% g: s, T- l0 P1 k
set-current-plot "Class Histogram"
, f, K! T$ @, ?1 h y plot-pen-reset; y. t9 W8 j( K# E% X, b' U
set-plot-pen-color red- k. e3 A) ~8 Z* V) b
plot count turtles with [color = red]
3 ^2 V) p) k1 f& K2 V set-plot-pen-color yellow
; s( k+ G8 F% | plot count turtles with [color = yellow]
9 F5 o: y% p! O9 i/ X! V( x set-plot-pen-color green
7 ?+ ]5 e! _! n2 R& A* ^ plot count turtles with [color = green]
1 J. _- t: S! { K% M, Qend. E# Q# |/ w3 v) k$ R
to update-lorenz-and-gini-plots
; O2 L" \) K/ f9 S$ W- S: V set-current-plot "Lorenz Curve"
. e7 C ~& l) C! E0 _ i- L clear-plot
8 \ X7 |. R5 |# f. S- G
- |3 J3 n F$ b+ j$ p, Q% v set-current-plot-pen "equal"9 f( h$ U! U/ v* W, j* M
plot 0
5 o0 d3 [9 a/ Z' i$ x plot 100
+ s. c! d, k! b" y) N+ P6 R) f# Q6 y3 P# y/ t2 i
set-current-plot-pen "lorenz"9 B+ g% n& t8 C0 q
set-plot-pen-interval 100 / num-people4 m: j& g1 U! U9 i/ b
plot 05 V/ B/ |7 y3 X5 k" K: z! k3 N" F
( E- X1 Z$ P* a p: f
let sorted-wealths sort [wealth] of turtles5 S% T3 u; M$ l) @( l
let total-wealth sum sorted-wealths
5 I7 Y1 l4 }. T( K# i4 ?: [- F let wealth-sum-so-far 01 U; W3 } x$ ?. f5 L
let index 0! ]+ d. C. o: }" M p R" M9 `
let gini-index-reserve 0, [( [* F- G9 e/ s$ w: U4 O7 v0 t4 b
7 G8 M9 s4 U5 z
repeat num-people [6 u5 \% y3 m& u% I( Y0 V
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
& O% A0 ]2 Y8 A plot (wealth-sum-so-far / total-wealth) * 100( p% N5 }$ T6 O0 t) `5 X2 \0 I" j3 w
set index (index + 1)/ s; X( Q5 o3 p8 v6 D/ i6 X, s
set gini-index-reserve9 |( P9 b8 ^4 e' `+ `' s: v
gini-index-reserve +) r+ a+ z" J4 Z1 ~& |; \
(index / num-people) -
( {3 Q; D7 M% P- \. [ (wealth-sum-so-far / total-wealth)5 \( u$ ]8 ^& c. r
]
0 ]4 T1 ?$ s. H5 \* [$ P% v7 W! ?2 s
set-current-plot "Gini-Index v. Time": M9 ]( ~" B. h* G
plot (gini-index-reserve / num-people) / area-of-equality-triangle
. z- s0 m: Q# S4 [5 O6 |8 Lend9 p v" W4 t4 H/ ~$ q
to-report area-of-equality-triangle8 ^9 B- j$ ~, e7 K" Y
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
: |6 p% w# R3 x$ W0 iend |