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
+ a; _( r* ~) _" j) ]globals
2 X" ]5 Q3 y; q6 U[
i# g% x! \: N) \ max-grain , C2 l; e5 @2 A; Z4 T5 q
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patches-own! d p$ m) {! f8 u# _- F
[3 L" Z/ K7 J3 R8 O h v4 v
grain-here 8 a5 D+ r) q. F2 y
max-grain-here - ~" d5 u# P0 \
]' R9 a" d7 Y7 V6 L
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turtles-own
6 N8 P5 ? _/ A! a1 s1 @[1 u- o9 u( d5 H% s" ~
age $ _ x. g; J, l) k. W* G% r' b
wealth
! o. T( y# W+ d& z* _$ l; Z life-expectancy
% m8 b: K5 j. I2 T0 X9 | D metabolism 5 L9 v! \5 V- E
vision
# ^( W7 P G$ u# s% } inherited $ C N1 b) q3 |9 Y, Y/ Z
]
3 B6 x; _& L) {# j- X
/ y3 L' _7 U2 @* q' }
' T! R/ X5 n2 Rto setup, m* q6 `7 z% m
ca
# T1 a9 q6 f& t1 U5 E set max-grain 505 u$ ~5 e0 [' ?9 W" J
setup-patches; Z1 }, I# Q. L4 Q/ f
setup-turtles% A2 T* W' I2 N5 C; w' U
setup-plots4 Y+ ?) n" O0 d
update-plots: p( } k/ F/ Z; _
end9 N L7 R! E0 {/ C9 _' ^# ^: S
to setup-patches
+ y" S1 K# K H. w( ` ask patches9 @) s ]( P. W0 j2 M% g7 e4 K% u: x
[ set max-grain-here 05 n) s; {2 C% @) M" u8 x
if (random-float 100.0) <= percent-best-land: u. ~! p5 m# |- F4 j# x3 Q
[ set max-grain-here max-grain
* M- p$ m; F' W2 h set grain-here max-grain-here ] ]
$ N/ `( L3 a9 V* H- T repeat 56 {6 u6 Z6 f0 y7 y+ e, j
[ ask patches with [max-grain-here != 0]2 K4 j- d6 X. _) E
[ set grain-here max-grain-here ]
* _# ?& `4 Y* e. Z6 ~ diffuse grain-here 0.5 ]1 ^: I* L" E$ O! E8 m% Z7 q
repeat 10
+ m6 ?3 Y+ e$ f [ diffuse grain-here 0.5] / I8 q$ d" l' j- A/ o' E( L/ I
ask patches! B0 @) ]; d2 f% i0 o0 U
[ set grain-here floor grain-here
2 A6 s9 D$ `. }* Y$ \( ~ set max-grain-here grain-here , W) c) {# F$ d" O
recolor-patch ]0 Z# ~) \3 |, m7 B0 X
end
: t/ e/ S# V* \( e5 s$ C& g, }to recolor-patch
- Q3 k3 B+ T6 ^6 g d& \) g, H set pcolor scale-color sky grain-here 0 max-grain* ~! I' f+ O! s7 z0 @7 M0 O' O
end
9 N. m; O1 ] u8 Zto setup-turtles4 x7 p3 D! L8 z; R0 @) ^
set-default-shape turtles "person"
7 [' G& _: s! ]& i- | crt num-people
% R4 l2 i) k; L6 h [ move-to one-of patches ( H& Q, Q1 j7 X7 p
set size 1.5
( L) i8 X; j8 K' |- h% s5 s7 x set-initial-turtle-vars-age
# t5 }) l, X5 S% C set-initial-turtle-vars-wealth! M) c$ y2 z3 q5 V% h! R5 ]; m8 F
set age random life-expectancy ]
4 A0 V J) o6 F) f$ C recolor-turtles
1 _6 C3 r1 |3 i; p ~7 `1 \end3 g6 [3 E; X0 S9 g, j
k/ X0 q9 M Tto set-initial-turtle-vars-age
: T3 H) f8 K/ W9 c$ Y& Z+ b- c let max-wealth max [wealth] of turtles
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ifelse (wealth <= max-wealth / 3)" p: j+ F6 Q f$ g$ V
[ set color red / R- w0 F1 p0 W
set age 0
! {* z2 F9 s! ]# e6 K2 ? ] ]0 X face one-of neighbors4 9 q6 s N; d. u
set life-expectancy life-expectancy-min +
) o. a/ S+ W) G1 E0 [* O random life-expectancy-max
7 ]4 z& {) c2 E* a' I9 s set metabolism random 1 + metabolism-low
" V, l, ~! B! s- q' H set wealth metabolism + random 305 L2 r7 c5 C- g/ T4 I# r
set vision 1 + random max-vision& b8 p. Q8 H7 K; |
set wealth wealth + Wealth-inherited-low ]
1 y _3 M# v- e2 a3 q [ ifelse (wealth <= (max-wealth * 2 / 3))
/ K$ d/ l# V) \ [ set color yellow
: l+ o& L4 }3 V0 p; e3 g+ w set age 00 h, @3 [; b# O$ H3 [9 T5 S
face one-of neighbors4 % ` M3 t+ d! a6 F8 W0 F/ A
set life-expectancy life-expectancy-min +) {0 l9 l$ h- k R
random life-expectancy-max + 1( H+ q* J6 V$ T4 S3 J+ v
set metabolism 1 + random metabolism-mid3 q2 _0 m: @# g: T% c3 U C
set wealth metabolism + random 30+ f4 P& N2 U- V8 w8 K, k
set vision 3 + random max-vision- I9 x6 i. c5 P- f
set wealth wealth + Wealth-inherited-mid]
6 M+ G6 U6 `9 q+ u6 i [ set color green ( X5 H% R8 K! Q. r
set age 0
* m5 p' b2 V* {# |) y face one-of neighbors4
6 [2 _' n- |6 P set life-expectancy life-expectancy-min +
) p' n+ q% F, k: { c random life-expectancy-max + 2
5 y% E, E% x. J: |# K V set metabolism 2 + random metabolism-up' s0 y9 E8 q4 O2 y
set wealth metabolism + random 30
5 m4 | S) c: a H- s3 J set vision 3 + random max-vision
$ x o) g+ ~8 K/ {0 ` set wealth wealth + Wealth-inherited-up ] ]
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- p/ K; z4 c8 A" o3 H, uend
/ f4 l9 L& c/ g# k! A8 P8 Yto set-initial-turtle-vars-wealth
3 |5 m% i6 f& G) p1 _! H let max-wealth max [wealth] of turtles2 P1 u: L9 Z8 K
set age 0
' ~2 ~1 ?" P0 t/ k0 x4 e. g. j face one-of neighbors4
7 \7 e! a$ e% w8 y9 _7 C- C$ C9 S set life-expectancy life-expectancy-min +" Y* d9 x& e9 L; _
random life-expectancy-max 4 P( {! F9 c& t; U2 k; ]
set metabolism 1 + random metabolism-up
' s: v) V } [! r' G set wealth metabolism + random 30
1 N$ L: Y) h# u- S X set vision 1 + random max-vision
) C. ]- |+ }% M" C* H! |3 E' `end
7 [3 h) C r" l; N; q3 d% X: uto redistribution' j. s# _# V3 m
let max-wealth max [wealth] of turtles; ^0 ?2 @/ n9 y; f- A1 d
let min-wealth min [wealth] of turtles6 { l1 z" ~: k; P7 I
if (wealth <= max-wealth / 3)
: Y, L7 X5 j0 @5 i4 @$ G2 O [set wealth wealth + Low-income-protection ]4 S( X8 e% Q* Y2 C) e) i( F
end
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to recolor-turtles
E4 N" j4 A$ X4 _ let max-wealth max [wealth] of turtles
^6 P% b4 j/ F9 d6 E) N4 h/ s5 ] ask turtles% X- ]0 o8 v) R6 c
[ ifelse (wealth <= max-wealth / 3)! J& Y, B7 g" v) O* v/ v
[ set color red ]
6 o4 h7 W) O3 h1 h5 \ S4 ] [ ifelse (wealth <= (max-wealth * 2 / 3))3 e4 X* ~% r6 \. e% G: @6 n# e# l6 `
[ set color yellow ]4 W9 g% g; M2 r, d9 V* m% s
[ set color green ] ] ]. ^& h/ ?0 W9 \2 z0 t9 H
ask turtles [ifelse show-wealth?
8 K5 B/ a9 r# }4 B9 h7 w( l% N, k [ set label wealth ]) R2 P$ ~8 C5 [
[ set label "" ]]
: [) J) K* J7 Kend% n/ B! f* d2 B# m; p% S
5 w4 c) z: E: G' ]+ |8 M1 Mto go3 T4 b5 E( G- c2 Y
ask turtles3 n: `7 N# [" z- H, r* Y5 ?4 S
[ turn-towards-grain ]
; k0 P+ i3 A1 ^$ l+ T harvest
) b+ u0 r6 _, h; B8 g" V7 w ask turtles
5 k+ r5 ?2 l M! t* R [ move-eat-age-die ]
6 Y0 C. S+ A5 r- T- i recolor-turtles
0 I7 {. y1 a Y& F/ t" H if ticks mod grain-growth-interval = 0
3 I n" |5 k0 h1 ?" v. O [ ask patches [ grow-grain ] ]+ J; q( W# `: @7 O) F& \
( E: X2 G. s# H, a6 _( y
if ticks mod 11 = 0" i Z3 d/ q8 ]4 s# z8 o h
[ask turtles/ n% T, E+ W: l, e
[ redistribution ]]/ [# v+ k, s7 d& i
if ticks mod 5 = 0
' z( Z6 W; J" \7 q' V$ z$ ]% [ [ask turtles$ I6 ?' ]( y3 i+ w
[ visions ]]
( K4 I* c! I6 j- z+ H3 H tick/ P6 i6 w+ g5 k3 u" b& E$ y! \
update-plots
! _$ i$ U$ F4 ?4 qend$ |0 B4 b2 [8 \
to visions3 A& ]) p- x$ G) k# C' L* f
set vision vision + 1
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4 e3 R8 B$ g: i( Y
& {& _, w% y: i9 n8 ?
* U- \* M* T( `7 _$ q; m4 Ato turn-towards-grain
- J) b" [: p) q, \ set heading 0
o' \; f( @/ D7 j! v b let best-direction 0# J1 D- |3 z M" Y3 S0 a% z
let best-amount grain-ahead3 M' W0 O; s/ J) E D# I* H
set heading 90
- ~9 P+ @+ P$ f- u4 H2 K" d2 L if (grain-ahead > best-amount)7 I6 U" C2 w, E7 D
[ set best-direction 90
: y& v8 { ~* B- R set best-amount grain-ahead ]
- F8 O# i+ j# C. Y set heading 180
1 T5 t! w& W V if (grain-ahead > best-amount)
d0 M% B$ {( |0 K$ J7 f [ set best-direction 180! |: \' k! |8 L; l- U
set best-amount grain-ahead ]$ r$ E1 y% J5 b+ l
set heading 2703 Z" z+ ^) c0 k$ q: {1 k
if (grain-ahead > best-amount)" J; O2 u% [1 J% h. R
[ set best-direction 270( M+ |, ~ M a8 u+ [( U+ [
set best-amount grain-ahead ]5 y' w1 M+ \! b& G( E- O/ |
set heading best-direction
; |) i4 {3 x8 V9 `7 Gend5 S+ Q# s/ n Y$ d( Z
\/ L5 q- s! k1 H5 ^' N: \( S" z
+ Q$ [- }/ g' e( k+ p; D0 b# Rto-report grain-ahead
' }4 C9 u( H7 Y0 B' i let total 0+ N* Y7 M" I/ Z
let how-far 11 \0 R5 d5 m; e/ L
repeat vision
2 B" u7 ~3 f) f/ V [ set total total + [grain-here] of patch-ahead how-far: r `' E" L' d( v
set how-far how-far + 1 ]6 c1 G+ |; ?: U( _ r6 a, F
report total+ O' E+ u+ E7 ^3 P4 Z: l- r
end
E9 M$ w8 x' J0 S% J9 b* c$ R
: _" t6 y4 Y% v+ Y; q/ l4 @to grow-grain 2 ?& I' R* o4 i" s* W
if (grain-here < max-grain-here)
- {' G1 ?* ?" q [ set grain-here grain-here + num-grain-grown6 o% l! b4 z" @% s' a7 `
if (grain-here > max-grain-here) , ` H% K( U( y; T
[ set grain-here max-grain-here ]
5 _4 F/ S$ i8 z. |- _$ a recolor-patch ]
; z" U7 x$ W+ w. c# p2 B8 a7 |3 w" Uend& b/ E! n$ v3 z* \. z2 U# d5 ]
to harvest
3 c1 s' ~6 z4 O/ D ask turtles
' w7 N, \$ i6 Y% q! h [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]# _2 n( Z0 Z7 W
ask turtles. j7 }1 R. c2 m& T
[ set grain-here 0
9 A( u0 X) U( q. \/ L Y7 G, X recolor-patch ]- [$ t9 q. e+ j% p! r
* ~# i. J8 B2 |& c9 `# I1 O- xend& D9 `4 y; M% B# Z0 `( ~$ A) ?
5 `) y: p- h, D
to move-eat-age-die & `% M: a4 M& r8 S" g3 k
fd 1/ |9 V' C. [/ x0 b n1 z
set wealth (wealth - metabolism)5 g* ~; `$ K/ Y9 Q% K
set age (age + 1)' ]' H( t8 D1 C7 x' s! u
if (age >= life-expectancy). ?/ l F& @5 ?! i
[ set-initial-turtle-vars-age ]) E% o0 J0 ?4 p8 J5 ^1 e g
if (wealth < 0)
8 r3 K0 t9 C7 w( @, h, Y# H [ set-initial-turtle-vars-wealth ]5 D# g; w# m' i
# }6 A% J0 e- ~! i3 ~. R% q" ^ k
end
2 ?0 O- W# W/ W+ f! h) p# k
7 o) ~) ^* n" j7 z' Q& r8 @/ V% h/ E7 S( Q. z' ?1 K3 m
to setup-plots+ n5 m- }# P2 ?4 p4 Z4 X; e
set-current-plot "Class Plot"
8 h* j5 @. ^& I" {+ L set-plot-y-range 0 num-people
3 e; I3 ^8 ^: v9 c7 E6 @" c2 t* [0 ? set-current-plot "Class Histogram"
( K3 R& d2 k5 J8 e T set-plot-y-range 0 num-people* U0 J2 x; v2 P, E
end. e) P9 B! D2 ^8 X1 _
f' F' j: ^2 z% {* x* j# F8 `7 n
to update-plots" c# W4 l. F8 a+ Q$ I# G
update-class-plot* w0 Z5 d, Y4 R
update-class-histogram6 F) |( y" d) P- D
update-lorenz-and-gini-plots
# [4 w: S1 p, _5 a& j' Qend+ |* V, I/ i# @7 o% t
; G) G( S; N/ f4 t
to update-class-plot
' x u' |6 s0 { o set-current-plot "Class Plot"0 w) q8 |4 g% n: q# ]2 J2 x; I
set-current-plot-pen "low"8 o1 W: I2 L, b
plot count turtles with [color = red]. p* K* Q: O1 Q2 l, d$ U1 c
set-current-plot-pen "mid") D5 A" Q' [! V" e1 \$ n
plot count turtles with [color = yellow]/ S; m7 S% O* y1 z) j
set-current-plot-pen "up" E5 {" Y1 h4 t5 q8 C1 C1 |2 U$ _2 b
plot count turtles with [color = green]9 l2 m t. j4 q4 A( _3 g
end
0 b7 H2 u9 N6 L! C |! N8 o
8 `' P$ ~- S T" y: xto update-class-histogram
" T* f3 z' c( W- l- I' _9 Y- q set-current-plot "Class Histogram"
4 H, e; ~/ i$ K3 J1 d1 U plot-pen-reset
- l* k$ S; _- I1 c; ~9 T4 R set-plot-pen-color red
5 d8 X# K9 ]* ^' o$ ^ V plot count turtles with [color = red]
2 M2 Z6 R# Y9 G2 y. @- c9 ] set-plot-pen-color yellow
' w& Q" t9 k( T% [: V0 w! l, @ plot count turtles with [color = yellow]& l& a u: ] R: n& Y3 ~
set-plot-pen-color green5 k) s C6 G7 E2 x; R& V8 t
plot count turtles with [color = green]
4 N$ E: r- w+ x$ s5 {5 a0 Y, Dend0 `2 b- D; f+ s7 ?
to update-lorenz-and-gini-plots( o$ k& C T) C' d
set-current-plot "Lorenz Curve"
4 }. j- n* y) S s; d& g7 c3 B clear-plot q& s( Y7 v' h& ]. q, R* C
4 m& `6 q* Z H# {- @) L6 F8 c
set-current-plot-pen "equal"
* O- j. l9 C" C) R plot 0
0 d9 y$ A( x" i" X1 E plot 100
( V( \0 W* Q4 ]4 C, @
5 M' K/ n" n; f: q9 B( F' ~ set-current-plot-pen "lorenz"
$ \+ P3 j7 l; V( F set-plot-pen-interval 100 / num-people
$ v! h/ v6 i1 \4 v d& Z# {, Z plot 0) L5 G" y$ x H8 O- `. i
, X( I( m+ g& G/ X- p9 x let sorted-wealths sort [wealth] of turtles- o2 j3 H r* ~' ~0 m+ W+ j5 @
let total-wealth sum sorted-wealths: z. D6 m' c. Y
let wealth-sum-so-far 0' \, L6 _1 F% @- ~3 u+ s" q
let index 0+ d8 R1 p4 u' ~! |6 [& \; K# R
let gini-index-reserve 01 L; R$ G; B# l# o: D7 z* @* ]! G
% |2 G% g, c' W4 Z7 ~+ ?0 M repeat num-people [9 Q5 q, a0 V( f
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths), [5 A% o0 \7 y8 ?* Y( I1 ^" n# k
plot (wealth-sum-so-far / total-wealth) * 100
5 \( Q$ Z& U9 F% x set index (index + 1)" O- t+ f/ `. h) n+ y$ N% W
set gini-index-reserve- q# r& t- R1 h2 w+ k
gini-index-reserve +7 f0 O( R' d* |' I8 o3 j
(index / num-people) -4 F9 i0 i& ]. V1 c. D5 I
(wealth-sum-so-far / total-wealth)6 I: \) ~2 l% X/ w( z
]# [" z' V. `" d9 ]+ f5 u* q7 }
6 Q. M; ^: ~6 e, L% \
set-current-plot "Gini-Index v. Time"( |4 [8 o) Q4 V9 V. u6 i
plot (gini-index-reserve / num-people) / area-of-equality-triangle
\' B5 J3 ?) |4 S7 Bend6 Q" T* f, ]4 S/ S6 v4 c, F- e
to-report area-of-equality-triangle y( N2 y5 U L" z6 s8 q" d" @
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
9 n! ?) b( {$ j, R$ V% D1 I5 xend |