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
9 E( b4 X9 z6 {6 x% }1 ]! E" Gglobals
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max-grain + v' v4 _) G) j% [. S
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+ P, J( ~, O" N8 c* Upatches-own
) p: {7 h9 j0 c6 s[% [$ ^ Y4 ~$ L# a+ V6 S/ R) @) X
grain-here
9 y. C0 T6 L! [! `( n. ]8 s% i max-grain-here ' w% N* D0 z6 _* ^8 U5 Z' F5 q$ W
] ]1 @" Y5 n, A0 S# R4 B1 b
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turtles-own
! N' V- t, e5 [* ~$ t0 p$ t[
/ U E2 @4 S2 s) Q0 n age
& L* `! ?* L% L5 [. s wealth 9 f0 J v" `2 L$ \
life-expectancy % {- @# J) v0 z! i# O7 b' g
metabolism
4 I: A, {/ \9 d* `0 ^8 i7 {6 ]- o. Z vision. Z# C4 N, e, ?5 s6 ^4 v! C
inherited
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$ L) L6 ]' |4 p z$ n3 [+ Z7 Pto setup
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set max-grain 50! G! M2 \1 L, {/ E( K" r
setup-patches3 ~/ U- ?8 A9 N" Q# m1 `% }
setup-turtles
$ ]% b8 s- K1 W- m- y8 J setup-plots
7 z' S% a" z4 D! _- U& t9 b update-plots
6 q# E9 E$ ?9 _; @end, Y* B7 a4 Q* @( v7 z7 @
to setup-patches
3 b# O$ b& r; `6 t, { ask patches+ }0 \7 y4 I0 M+ q4 a6 E
[ set max-grain-here 0
% B5 U4 q- I7 ] if (random-float 100.0) <= percent-best-land* g# ]+ I$ g! S9 O" r; }
[ set max-grain-here max-grain, A* v6 U8 h& i5 S H! L6 }
set grain-here max-grain-here ] ]0 I6 M% n* r+ s/ B
repeat 5
9 @8 s* K- `) x$ w/ R [ ask patches with [max-grain-here != 0]) I s4 S6 e. q, P. P' T
[ set grain-here max-grain-here ]
" y8 [1 h8 ?6 S# b: L ~ diffuse grain-here 0.5 ]
5 F4 g. }0 y; u' s- f1 ? repeat 10
6 P/ P+ a" B; Q0 K [ diffuse grain-here 0.5] 9 [( v. n2 ~/ ]6 S- x$ f
ask patches
8 q. t6 Y* L) a% k+ V9 U# z [ set grain-here floor grain-here
1 _. ~2 X2 E* ?! I7 h- _ set max-grain-here grain-here 4 m. I; x# u+ G
recolor-patch ]) A+ \0 s8 [, {+ V
end
3 N% W2 d! U: k% R- O) Q6 Y" a& Kto recolor-patch $ D z; D! g* U _ t
set pcolor scale-color sky grain-here 0 max-grain
2 I( k% k J1 }; @- o, eend
3 z9 D5 V# \0 \: Y. h5 Y2 Q3 |to setup-turtles
! K4 T! l4 e, ^- E( P: j set-default-shape turtles "person"
7 k1 X- |5 k X. U crt num-people, l2 g% J8 D9 o
[ move-to one-of patches
2 {4 k1 T% [" F* J; G8 k- [ set size 1.5 ) L8 D; t; o$ b- b: t# { W
set-initial-turtle-vars-age
( Y0 q( q: N$ L+ a set-initial-turtle-vars-wealth
% p! j3 C; {# a" D6 P* J, ^5 ? set age random life-expectancy ]
$ \( D4 E. [7 o2 ? recolor-turtles0 k5 @ W1 O7 t( z2 D" X$ o" Q
end5 |% a ^/ Z, ?) t
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to set-initial-turtle-vars-age2 R3 s8 t* y6 Q2 B7 |
let max-wealth max [wealth] of turtles
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ifelse (wealth <= max-wealth / 3)' a& w- |) L# J5 ?% u
[ set color red 1 s; @. k0 _% S4 \0 c: U. k
set age 0
+ C; x0 J8 _1 T# ^" i; `: k$ x face one-of neighbors4 0 ~) \6 |8 ?: d) L z
set life-expectancy life-expectancy-min +
! X3 y. _( F# A. l random life-expectancy-max
7 k6 c2 Y/ k$ Z3 V3 ? set metabolism random 1 + metabolism-low. `2 s- `! Y* A. W
set wealth metabolism + random 30 a6 n8 K3 J. m& c
set vision 1 + random max-vision
$ ]; A, N) z; d3 U! _* M set wealth wealth + Wealth-inherited-low ]: Q4 W( F$ @, ^
[ ifelse (wealth <= (max-wealth * 2 / 3))& @7 w& e3 n% Y0 @* @2 X( m Z# f
[ set color yellow
5 N; O) \' p0 I% k9 N% d set age 0. G8 b9 \5 p) W' F3 N% ~- z7 K
face one-of neighbors4 & o" X7 E' b9 T2 ]8 \; E! {
set life-expectancy life-expectancy-min +
4 K; b. Y4 a' W- Z: a' W- A random life-expectancy-max + 1
6 D- I" Z% u% Q& m( K9 h2 Y set metabolism 1 + random metabolism-mid
: p0 L* J* F! X' E" q set wealth metabolism + random 30
5 ^) |5 R: V0 e6 t0 S9 x set vision 3 + random max-vision
9 a3 L+ E+ n6 K! v; A set wealth wealth + Wealth-inherited-mid]# T u. E' K8 J! \4 ~, Y' @
[ set color green 0 K0 h- F6 x5 v( X3 \
set age 0( w! B) V# }; T$ [$ T
face one-of neighbors4 6 I, s* x9 F: H% T2 z* G1 t! {( S
set life-expectancy life-expectancy-min +
3 a. T; e1 t3 @; E) f) v random life-expectancy-max + 2
8 O6 l, N! O+ F. T4 R set metabolism 2 + random metabolism-up: {& V* Q& |+ H4 X" a1 u1 a% v
set wealth metabolism + random 30
0 L6 t$ h! w0 P9 h: z4 S0 A% H set vision 3 + random max-vision
- {) q4 ]' Y$ A6 k set wealth wealth + Wealth-inherited-up ] ] & J; i; U# D4 E/ R/ Y
, o% m/ ^' K0 l" T O7 Q! iend7 }8 T! N2 t1 q* f' Y& e4 c
to set-initial-turtle-vars-wealth
- }' R/ |: m5 N Z! B- e. Z let max-wealth max [wealth] of turtles
/ m' V4 y E4 e+ @) H( p set age 0" Z6 W/ i' l! _: n9 W: H: w' S( A
face one-of neighbors4 2 l1 H4 b8 \0 |
set life-expectancy life-expectancy-min +( [/ ?& M7 W! e
random life-expectancy-max
# D/ a) t5 Q* G V set metabolism 1 + random metabolism-up' y& \" W) ?: v( G+ [6 r4 `
set wealth metabolism + random 30
% \, _% b% ^3 O set vision 1 + random max-vision 1 t( |; o% D8 A8 T( {
end0 l: [0 U. L. F3 l: o4 C) K3 U
to redistribution$ }. N1 K% i8 o! l; _
let max-wealth max [wealth] of turtles
3 Z/ n( Q! L5 c$ nlet min-wealth min [wealth] of turtles
! I& `: t, {; q6 jif (wealth <= max-wealth / 3)* X- U, a8 z5 |$ V4 Z
[set wealth wealth + Low-income-protection ]8 d0 P$ z ~1 Z9 v- @2 V k
end& u g: h# I/ ^
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to recolor-turtles% h# o A/ [1 S6 r9 x; y
let max-wealth max [wealth] of turtles3 k7 |" ?( b! k7 Q( @ }. e4 `
ask turtles
0 S& P4 V, R$ r& t: W [ ifelse (wealth <= max-wealth / 3)
4 @( W% i, o; H% `* v$ j& ] [ set color red ]: k3 L% O5 c" T* R
[ ifelse (wealth <= (max-wealth * 2 / 3))
0 l/ n1 H/ D1 x6 V. g [ set color yellow ]: O1 A# q, q e
[ set color green ] ] ]
2 X8 b: o3 g) M' ~- z0 X1 e7 d" B ask turtles [ifelse show-wealth?! n8 P6 Z4 \7 ^7 z. O
[ set label wealth ]6 L" w* J3 @' [
[ set label "" ]]
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d3 ]/ ~7 W0 v" Y- i; F& X) P6 Xto go% i B+ k" N. @! Y/ C# f
ask turtles s) J; x& I% w+ y8 {
[ turn-towards-grain ] 7 ]3 ?; a T' j. r1 V5 `, e
harvest
( ?2 A; b# t, ~/ s4 [5 D; T ask turtles
" p8 B* J4 }7 k; @9 d. T0 s [ move-eat-age-die ]3 K$ p2 _3 l8 T9 Q; v+ F1 q
recolor-turtles3 | o; R) R' D& W* L/ t" |7 N
if ticks mod grain-growth-interval = 0$ r1 V W$ B4 D
[ ask patches [ grow-grain ] ]
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if ticks mod 11 = 0, m2 c8 X% M& I/ {/ A
[ask turtles* {' O) G7 t; ?0 d S* {- ~8 H
[ redistribution ]]# N: e$ ~+ {! Q+ }$ [* M
if ticks mod 5 = 00 K) m- V5 t H3 `
[ask turtles4 q5 s; ?) d$ _" {+ o% x" s% M
[ visions ]]
" O, B5 S0 X! |5 H, |2 a tick
" \5 U/ r3 F6 G: o3 D update-plots; L5 w# `' S' M1 }8 k
end5 C) R# h" L( w
to visions+ t" M0 z) ?; \3 m- w
set vision vision + 1
" t0 |: f. r$ I4 g G. uend
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; W+ e& \3 M) @- Pto turn-towards-grain
) ]; D$ ~2 x9 u# _$ H set heading 0! v5 M; w# t2 F4 O) N% r0 A
let best-direction 04 {7 r; E8 q" s3 j5 I$ \ A2 \) W4 d
let best-amount grain-ahead0 w; X4 p: d$ @& R
set heading 90- _6 w u7 o+ N" q
if (grain-ahead > best-amount)
2 O7 H' i( ]3 ~( w [ set best-direction 90
, _, q. b; y F+ }" l set best-amount grain-ahead ]% G+ ?. ^' c" ~9 D, m4 H. i
set heading 180
8 {3 }; v; t* Q2 l. ?, r if (grain-ahead > best-amount)
+ q$ R8 B% x# C) e! Y [ set best-direction 1802 l5 \5 s4 _% l' C" q+ ~
set best-amount grain-ahead ]
- H( d/ J1 u# @% [. N8 N set heading 2705 R" F2 J8 c B+ J$ S1 @
if (grain-ahead > best-amount)
) K) U+ v) l0 Y+ p [ set best-direction 2706 I% E$ l% n9 ]1 u: @, }2 t
set best-amount grain-ahead ]
7 V1 b: E2 O8 K7 O set heading best-direction& v. y c7 |, Z$ d" @& s
end
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to-report grain-ahead
/ \0 l7 C9 |& F. o2 y let total 00 C& G. ~4 ~9 ^4 V% X& A6 `/ ~
let how-far 1, N+ }7 N% @) P8 ]/ ^
repeat vision. Q8 w0 u+ R$ J7 Z9 |/ S6 |
[ set total total + [grain-here] of patch-ahead how-far; g$ k; e8 r+ D2 T/ M6 X
set how-far how-far + 1 ]
: l4 f7 q) F2 G2 H1 Q i report total
0 k3 n% y. E, } y( W5 w( k- }end
. U; j# F8 E2 R
) O/ T, u0 P5 u; g; }5 u5 ato grow-grain
! Y: A8 ~4 J+ R& z4 T% L0 S if (grain-here < max-grain-here)% L$ `6 J* W; P; j( L
[ set grain-here grain-here + num-grain-grown4 k7 n( y! X$ X; W5 w. N) M
if (grain-here > max-grain-here)
2 ]$ k' T, q5 Y( h [ set grain-here max-grain-here ]' U6 x1 O' r& g* ?7 e
recolor-patch ]2 m7 ^7 R# j% s& w0 P3 [
end3 m8 D+ B$ i$ d* t/ i+ a- x
to harvest0 J8 _: K5 ]0 a. Q4 ?8 T; t
ask turtles
: j1 ~% b w2 z5 ^1 r9 ^ [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]4 ~. O( Q$ D/ X
ask turtles: u3 {. b# i6 \3 D: d% g# v
[ set grain-here 0# }3 i1 J0 F$ _4 c6 H
recolor-patch ]
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end* V) t6 p7 P6 M7 _! ^
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to move-eat-age-die ; z3 F, R: @1 L' {9 N
fd 17 K9 B4 Y- y: {/ O) g' A
set wealth (wealth - metabolism)
" m7 F9 t( }3 d set age (age + 1)! \$ j! ` _0 v8 ^2 q' U9 f
if (age >= life-expectancy)
! W' Y$ G4 r) q' a4 }* ?& W [ set-initial-turtle-vars-age ]
8 L7 P$ r; h" u% ~" s" c4 I) L if (wealth < 0)3 @2 n& N: }7 T. d- p6 i
[ set-initial-turtle-vars-wealth ]% {5 p" F% T# H+ K6 M% F: p
" c! r" a4 O7 D7 mend
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to setup-plots8 ^/ G0 ^& l4 ]- ~9 A1 H
set-current-plot "Class Plot") V& b0 q+ ^6 ], [
set-plot-y-range 0 num-people
1 s6 p; o& w4 s+ B( ?+ @ set-current-plot "Class Histogram"3 ~6 Q5 K* A3 B- y
set-plot-y-range 0 num-people, O" M2 |" I4 G4 y# V X, Z
end
* b! c; ~7 V. k9 ^- Q
7 i7 n0 s/ u* D4 `$ Tto update-plots
S1 t# o( w- F7 c% k$ G update-class-plot
R8 s/ A$ ^! d/ c) k& p& Q1 `2 x* g update-class-histogram( v1 N; s% a! {4 m
update-lorenz-and-gini-plots
# O8 ]$ B. i9 I+ i% Gend
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to update-class-plot
5 M5 L7 w. n6 E& m set-current-plot "Class Plot"
0 `9 q/ ^& F) s' e set-current-plot-pen "low"
9 C, U: n( k( i9 c7 Z plot count turtles with [color = red]1 R; j1 v1 h) b; a# n( Q
set-current-plot-pen "mid"7 g6 ?) q, r5 j# F* I5 `
plot count turtles with [color = yellow]
, _) u0 o* R1 S6 a4 O" m set-current-plot-pen "up"2 R9 r. T, M( r0 Z5 R# P
plot count turtles with [color = green]/ E; u0 t$ Y5 v5 Z
end H! B1 Q `- T# A9 c' Q$ G1 `" y
$ |% r9 Z8 @& f0 \& S
to update-class-histogram1 r$ U5 L& K( W0 y% Y: [
set-current-plot "Class Histogram"
5 ]8 m" z2 h8 G! j" f- }/ g$ V plot-pen-reset( ]8 H# c0 j i
set-plot-pen-color red
3 L5 }8 K8 O( q* t plot count turtles with [color = red]/ d8 A) x5 N: O8 x: L
set-plot-pen-color yellow% u. j# m: U G9 b+ Y9 U
plot count turtles with [color = yellow]
v$ r0 l$ A8 g7 B# N; N* r3 E; G set-plot-pen-color green+ d! M, \2 D) ^+ L3 {' W
plot count turtles with [color = green]
) W& W9 n" u$ A$ y2 f9 `end
& d% R9 O2 ?+ p" t4 \2 [to update-lorenz-and-gini-plots9 w; _$ T/ s, V+ |; |
set-current-plot "Lorenz Curve"9 D4 n: ?6 t; h( t6 g
clear-plot
; z9 F# W* T# w- h [( ?+ w, K; w7 ?, n7 e' T4 r( g! g1 F
set-current-plot-pen "equal"
4 g* ~8 R: P/ K9 j. l5 o; O plot 03 }6 Y; i+ E- ?) e+ l: C
plot 100
9 i8 B M7 G- W. B& {- J4 J* T
% D' K S. ~0 U6 O set-current-plot-pen "lorenz"
! u+ z" p( {% v) S1 c set-plot-pen-interval 100 / num-people9 |, u$ V' o: m: Z% W
plot 07 Q* `2 ^" T* h h3 t! M& x. r5 M, u$ s
7 k) F" I: ?9 _$ C: K' @: [/ p
let sorted-wealths sort [wealth] of turtles* w' V; \% ?) V0 y
let total-wealth sum sorted-wealths
( a' J$ x/ \; v X5 D6 W let wealth-sum-so-far 0
, ?; k: Q- O# c) h let index 0
$ q1 S2 }& s; u+ B6 g let gini-index-reserve 0
, D4 J7 J( Q: r& I
3 f2 i0 N. E7 ]) w4 Z8 Y repeat num-people [: `2 q2 p/ L. u0 x; m; x O- Y: P
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)" u7 o9 R* \/ b( [" q. ?
plot (wealth-sum-so-far / total-wealth) * 100' H- u6 P: w, @$ ?- ?9 @# I& e
set index (index + 1)& h4 O. V8 A' G( ~0 ^1 V5 f1 L4 S
set gini-index-reserve
( a- c# m, b0 x3 d5 a gini-index-reserve +
7 s% X; }1 i! T) p (index / num-people) -" @3 C! V0 b/ J/ _
(wealth-sum-so-far / total-wealth)1 F( b' K, }4 _# A* Z
]
7 }$ h/ _. Z3 J, K
; z2 }5 e9 K0 [( B set-current-plot "Gini-Index v. Time"# l' ?. ^. \2 o; b! Z! _# I: ^
plot (gini-index-reserve / num-people) / area-of-equality-triangle; `1 a, S/ ?& L& N' F6 o& U, I
end0 S, @! ?4 b T, j3 B8 j, H, W
to-report area-of-equality-triangle! s* c! z1 {* ?
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
e* g7 b% P+ {2 lend |