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
, u: l6 N5 U4 i. A: Q" m) fglobals8 @* @" F4 @! q {7 Y( {0 z
[
+ I* g" b% k6 s4 z- J) W5 S' |" n max-grain ) K6 g# W* @' O& y) }
0 r9 X( k9 j' @7 []
0 E0 T- l5 F; T, E% A: U' a4 d6 H+ b6 K! k# y" i' \# I! i
patches-own! e7 F2 _, @! Q5 ] k
[
0 h- T( w% F1 c8 J grain-here
8 M, a" L' s# l% x max-grain-here 0 W& m: y, G+ Z1 Q8 Z e2 k# }
]
, x h3 o0 s9 h% J8 P9 x) J$ ]0 m$ t' Y, C) M& |
turtles-own% J; S3 ^4 F* C; a
[. ~3 ~7 o* R: j# G3 b1 `2 R
age
6 ]3 E# Y# B& N wealth / d0 Z4 q' q0 t T. d
life-expectancy
) S7 b: C4 S) A4 ] metabolism 0 z( L5 E& g/ ~1 }8 ~
vision8 T! O% m# J I% ]4 Q
inherited 6 J3 x# @. f; u1 M4 J
]3 s' V: }; f; W! s9 D
. G s* L' s& g6 W/ Q
8 I- j9 ~( E) X3 G z% F# Cto setup
# L- K) ^; G: w: ~/ V ca
- G7 F9 u+ c: C/ w d( [ set max-grain 50
* }( C" q) a Z setup-patches
% C- W2 V; r" J0 H8 ~; b setup-turtles
- `) x2 f* C9 o4 N setup-plots
& N; J9 f2 S* g! c8 M, F update-plots
# \1 N! A6 e! \0 Mend
4 G: k. D/ B* M4 kto setup-patches1 C" {6 `4 ?/ B, \: B
ask patches
1 Q, I/ o, U" m9 _: ~% [ [ set max-grain-here 0
% Z% j# S/ X" D3 \9 H% k if (random-float 100.0) <= percent-best-land9 c( e+ M/ P4 a1 l
[ set max-grain-here max-grain' G* n+ P3 D3 ?( j8 {
set grain-here max-grain-here ] ]
1 n7 L& T: R) Z, T' l) F repeat 5
6 ^9 H k \: Y$ c% l [ ask patches with [max-grain-here != 0]
7 ~, R. I {. O. \0 U7 U2 A [ set grain-here max-grain-here ]
, H$ C2 c1 C6 ^" V3 ` diffuse grain-here 0.5 ]* O* G8 l, r9 r' |! j% _: I
repeat 10
7 x5 H9 u( I2 R3 Q9 q) n% O [ diffuse grain-here 0.5] , U0 Z0 [- I$ w8 J/ P3 ?; o# n
ask patches
6 \8 P2 M2 ] A8 N3 p [ set grain-here floor grain-here 7 a; A) K; h, L4 \9 [) X
set max-grain-here grain-here ) y) h1 o0 D9 H6 k {2 i; `; b
recolor-patch ]
: b0 A% ~: a& M% vend
& z1 u* A( i$ [to recolor-patch * B0 |2 L/ Z5 e; y, r" W% E
set pcolor scale-color sky grain-here 0 max-grain4 @/ J/ A* {) l! W4 o
end
+ R- p* q2 R0 p, {to setup-turtles# i$ x: @8 A/ k/ k
set-default-shape turtles "person"
- _5 h# }4 q4 C& Z crt num-people h0 d; I' `3 T0 E& j. m
[ move-to one-of patches : B3 }+ X+ W0 H, z. s
set size 1.5
, \7 u: e' b/ q, r" A! E# r set-initial-turtle-vars-age
+ h/ {" u+ x$ @' K- V% [8 ` set-initial-turtle-vars-wealth Y+ N. f9 [' w; ]; m* m
set age random life-expectancy ]
9 n1 f) \( W8 {0 c7 r% G6 ~ recolor-turtles
* {: b# X% m4 t% S# i; S9 Gend
. J- h7 D! T' R. X6 ~: ?, T) f8 d2 l" _6 }, \( N4 }# a, D
to set-initial-turtle-vars-age
0 c+ \* T" I, `& W1 A let max-wealth max [wealth] of turtles! l w# Q5 C. [6 `8 }% O' }
0 o9 P2 n( o, s1 n [0 n# z h ifelse (wealth <= max-wealth / 3)- Q7 M) b- s+ y+ n0 ^% `) P
[ set color red - l3 ?+ T, {) Y& D6 i- G+ a: Q
set age 0/ C; D& O1 U" e O2 l- E" e
face one-of neighbors4 9 I2 X( P8 @' q1 M6 ?: U& `0 Z7 g: J) S
set life-expectancy life-expectancy-min +
& a& p! Z* w7 h! N, g+ F' p random life-expectancy-max * F8 c q, ?- J3 V) b
set metabolism random 1 + metabolism-low
& A: C- v6 T6 E0 L3 g2 \ set wealth metabolism + random 30
6 k* O4 ?; B1 ^6 y$ U# F: [ set vision 1 + random max-vision
4 n6 C' o! [; s6 T" S set wealth wealth + Wealth-inherited-low ]. \# V+ ]5 c* ]5 }
[ ifelse (wealth <= (max-wealth * 2 / 3))
6 ~) h* e L3 Y, Y3 J5 d [ set color yellow 7 a9 F% O- ] _9 x
set age 0: u) v+ _ w1 V R: d6 W& m
face one-of neighbors4 8 k: p& R, U h/ ]; C6 C
set life-expectancy life-expectancy-min +6 r) e5 `7 s9 w4 b! ?4 F
random life-expectancy-max + 1
. L' r& U+ J Q7 s) H6 C, O8 I+ x set metabolism 1 + random metabolism-mid5 S% U) T; }" i" P
set wealth metabolism + random 303 l9 x1 N5 B9 L: D' }( L
set vision 3 + random max-vision
. f; ?2 ~/ d W! \6 E2 z% j set wealth wealth + Wealth-inherited-mid]
; z- C. m4 W4 k+ d. e [ set color green ; P0 v0 Z2 r1 x- S) A5 P; E
set age 0
& ]! m9 Z& z" j( ~5 B' W3 w face one-of neighbors4
+ g ?$ E$ [! V0 _ set life-expectancy life-expectancy-min +
/ [, E. Q( h: \6 Z7 J random life-expectancy-max + 2
$ P( m5 D4 Y- `3 K' g! N* r( b w set metabolism 2 + random metabolism-up
9 f Q2 a3 ~$ S! z# f+ g. d: o! v set wealth metabolism + random 30; {1 W3 w1 C) [! |+ r5 @
set vision 3 + random max-vision
3 a! j& c" f- e# [ x% [; I set wealth wealth + Wealth-inherited-up ] ]
& m2 t+ Y6 ]7 j) k; F0 x- g5 F : y( X, S* r/ z- H( \ f) ~
end* k8 N( V: j: ^$ g/ G9 J
to set-initial-turtle-vars-wealth: @4 T, E6 Z0 q
let max-wealth max [wealth] of turtles
, [4 e1 U6 X3 [ set age 0
/ ?" o3 Z/ ?9 G3 ] face one-of neighbors4 7 b" } D" w H/ Q& [
set life-expectancy life-expectancy-min +
R/ C6 Z G9 ]% D; ` random life-expectancy-max 9 y% d8 O' E$ _ g! Z, n1 D
set metabolism 1 + random metabolism-up
* ^: l$ S) P6 `0 ~6 n+ }2 A set wealth metabolism + random 30$ P- f7 `/ x$ D# ~" W
set vision 1 + random max-vision
; _+ S6 V6 D+ k% Y, F* E! mend
& c& d' g. {! L" X1 `. qto redistribution& E V- t8 P2 ~* k' T
let max-wealth max [wealth] of turtles
) W2 N6 a! Y' [5 K; G+ slet min-wealth min [wealth] of turtles
' ]6 X$ y9 @4 z, |if (wealth <= max-wealth / 3)
1 Y$ t3 o% G2 A* j/ N7 q" p; }2 R [set wealth wealth + Low-income-protection ]
5 C. I: `/ _8 n7 p8 [; N$ I1 Fend
, k. H. u# Q8 [- |$ M" p. a8 i+ J' g3 s
$ L- n' X+ [8 a% s- w$ Rto recolor-turtles
% F5 M4 \9 M, k. m let max-wealth max [wealth] of turtles4 c. }% g2 \% r; K- g- p7 {
ask turtles
* U) s' U# w+ c7 ]8 f& x7 y [ ifelse (wealth <= max-wealth / 3)! y: [% B1 {; `: |& m' M2 ?' o
[ set color red ]! ^- O# m6 n9 |" ?' Q1 S
[ ifelse (wealth <= (max-wealth * 2 / 3))
0 f: r( f, g# L* g( ?/ w4 i+ N [ set color yellow ]
5 `0 t5 p" E1 m4 Y8 o$ E# j3 ] [ set color green ] ] ]
. g; q. n% V) T ask turtles [ifelse show-wealth?# x) O+ M7 \- {5 M9 g4 K
[ set label wealth ]& }$ C# D& }2 e
[ set label "" ]]
! y% ?/ t& ^. M3 F: a7 E' j3 @' }- ]end
2 q, `( [( ~ v3 C2 H" t0 _
3 \3 A* ? [, x1 m8 j' U; O1 Gto go
# g# W5 _' j8 X2 A0 c$ {# U ask turtles
" ]8 h7 F0 u: R [ turn-towards-grain ] : ~. F! g- z; _4 V3 ]' J0 f
harvest% x$ B( A" x o% I. X7 z
ask turtles
4 c; \) e3 K) @1 }( c, ^% i% A [ move-eat-age-die ]
# h, o; r3 V/ }: z# O$ \) `6 n recolor-turtles" }' {" s% K8 _! ^) ~
if ticks mod grain-growth-interval = 0
& J5 h$ p$ |/ W0 W0 k- O1 l8 t$ x+ g' T [ ask patches [ grow-grain ] ]
1 f3 c& N, v, z8 r
4 X$ A. H X ^2 y" c" ?2 |* w if ticks mod 11 = 0
" A& O! E* Q. @ [ask turtles
2 ^4 d" z& s# K5 v4 X [ redistribution ]]
# {& c+ v; i% r1 K/ F; \ if ticks mod 5 = 0+ _$ m$ @/ ]: q y$ M' W$ o
[ask turtles4 n1 J7 g; c! W$ w0 W }
[ visions ]]
) o) D7 t5 u; |( X, |6 _ tick8 D5 ~+ Z9 H6 _; e
update-plots0 y( }( L. h* {; F6 v
end
0 k1 ]5 ?5 f* r) hto visions
1 c* W. @& {7 P/ K set vision vision + 1
8 t% p/ ~* O0 I# H/ bend
) ]$ n+ m" U& d" d- j7 t& d" }7 U; V) l8 i" e
) G3 y, ^* T; ]$ }7 T' N9 d
+ h, T1 w7 S% R9 ~$ ^to turn-towards-grain
! X3 l8 P5 |8 e. J" A' p0 D set heading 09 N* w+ N" t' c% f* m+ y7 X
let best-direction 07 o! L" `/ s' }3 t T
let best-amount grain-ahead' I9 x! p, @5 ?2 a6 G0 P; t8 F
set heading 90
+ d+ M l8 E4 D- P' E if (grain-ahead > best-amount)
0 d- I; M& m9 o$ [( z/ @- [/ B0 F [ set best-direction 909 I( {1 e. @6 d9 [* ~3 L
set best-amount grain-ahead ]. \3 w2 @& b- p. k* e& O/ U
set heading 180' [% i T! l- i3 p* t
if (grain-ahead > best-amount)7 }& ^" N' I9 |$ F* J4 ?* B
[ set best-direction 180
- J2 d# y6 g7 q+ J( i set best-amount grain-ahead ]
# q( Z. Y6 I: i0 W" t( j# S! h set heading 270
9 G6 m! j n7 M9 K if (grain-ahead > best-amount)
$ ]. k- R+ P( u [ set best-direction 270
" q0 M$ G' N r; e set best-amount grain-ahead ]2 ~9 W! u/ C- s
set heading best-direction
! S* H a% n& M5 B* u) Eend
6 `! N$ a" j1 s. f& m. V" h9 d2 e& U6 Y# V0 E, o' l3 e2 c2 ~- Q
. x+ Y& G6 S# k. n' x" A3 eto-report grain-ahead 4 M, X3 b( k& P5 ]
let total 0# ?0 D0 q# i0 W" U m- z0 y
let how-far 1- T8 v3 _" e1 R6 p+ N/ C
repeat vision
! f& Y# F. } D3 S/ Q" h6 f [ set total total + [grain-here] of patch-ahead how-far6 w9 { w+ _# e8 ~3 h
set how-far how-far + 1 ]
: q' R1 d J l. R7 T report total3 M0 r- r7 f8 P/ _$ ^* [
end# [6 {0 ^+ I$ \6 W
& h# b' y: z) F/ jto grow-grain / B1 }1 A/ B0 m7 B# ?
if (grain-here < max-grain-here)
. `2 Z4 S; _' }& Z [ set grain-here grain-here + num-grain-grown/ F/ I/ b. Z8 u( F1 f3 J. M4 a
if (grain-here > max-grain-here)
$ F, a, ~) K2 |0 J5 R [ set grain-here max-grain-here ]! Y9 g2 q7 i4 v0 K. `
recolor-patch ]
( D0 A# H1 H* [. i6 N6 j2 Y; S, Kend
2 A0 C; }# i' Q' I1 \to harvest
7 o- N% X. X2 m) m- J; {: N ask turtles% X/ L5 [8 t) ~/ E; Y c
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
H" p! K% i% y' U ask turtles
" Q* A! h" U2 j1 M9 ^! I8 w* ? [ set grain-here 0$ `1 |1 g6 m6 s+ d$ W9 H d2 i
recolor-patch ]
4 [3 ?( G; z2 S' L3 l/ w/ E
5 J/ G; J0 [0 G$ a3 Qend
7 P$ H7 G) [0 C) E& @2 Y9 K0 z% z3 }
6 g; b! N- E, Rto move-eat-age-die
; H" G7 J4 C/ x d fd 1) q+ i) Z. e% |# m5 |- C0 e9 C) P
set wealth (wealth - metabolism)7 o1 v6 s m1 ~/ n9 ~! ~, v
set age (age + 1)
+ K- O+ y( K# u' t5 P4 M if (age >= life-expectancy)
( G. N8 _+ H1 I, Q7 O8 h. v [ set-initial-turtle-vars-age ]
' X0 c( q4 G( @+ \. \ if (wealth < 0)- O2 @' c4 y/ m" D- a$ e/ f1 C
[ set-initial-turtle-vars-wealth ]
3 N& g6 k3 W, ~2 @7 y
2 C9 a: U0 l% w0 d5 ?) J1 q+ z2 rend
2 U7 h, X0 t- Q) w% Y% A* [* G& P r J: ~. w
7 I: X' W! r% A$ U6 Y( `% [to setup-plots
7 Y* l4 Q% @( C: b' o- P set-current-plot "Class Plot"
* z5 }2 B, n, C/ L& I set-plot-y-range 0 num-people
8 `$ e4 _" G ` e& w" M8 J1 y* B set-current-plot "Class Histogram"5 A3 U: b3 |" X' d% c' x+ A2 A
set-plot-y-range 0 num-people! `+ @2 `4 `4 K1 U& J3 P9 ]
end% J* Y' N; ~: l' X$ y& I. I
$ w9 J$ C. [& Y! P7 M- zto update-plots
6 M& d% v. f* p% |# d update-class-plot
. K* L4 c! q# R9 T# B! t2 Q update-class-histogram! i8 N$ }! F9 W* D
update-lorenz-and-gini-plots2 Q4 t7 {) _! u) G9 I- q& m
end
9 j8 f3 a, M1 s! i( l+ P; K/ L% ?$ {6 a: c' Z; E
to update-class-plot6 [ r' S4 }1 h" m
set-current-plot "Class Plot"
2 j E* h& |9 u2 U set-current-plot-pen "low" n$ W, X0 }4 h2 P. l5 o
plot count turtles with [color = red]
2 v) J9 l3 q( L8 `, r& e- d set-current-plot-pen "mid"! m, q6 h# s* W8 ~: M+ z
plot count turtles with [color = yellow]
' m# n7 n9 t. k$ F set-current-plot-pen "up"
8 Y; B9 C) c: I6 ?" E p plot count turtles with [color = green]+ R `) c1 c) P9 z
end
) u: L3 |% ?% F. r5 e4 H6 R
) d; O( h+ r9 ^9 R3 g6 p5 ]; Fto update-class-histogram
5 o( L+ c' k! d8 t set-current-plot "Class Histogram"8 W# ?; j% w/ k3 M/ K- b
plot-pen-reset
" }: H M' }0 O0 s ~ set-plot-pen-color red
" g% K5 ]6 d2 i7 z+ c4 d- r& m, L: D plot count turtles with [color = red]
& T( r; g; A& c8 o* T: q$ v set-plot-pen-color yellow: } o2 K9 F: T# a! b1 t) K
plot count turtles with [color = yellow]
; _. q9 S/ T( N+ M. J set-plot-pen-color green M$ \) ]4 r0 P$ G3 B
plot count turtles with [color = green]
. E* `" O6 g" |3 l$ p6 v+ aend
# t% K) g; h$ n; q7 e yto update-lorenz-and-gini-plots4 i! N# ]0 M' T4 g/ |: ]( Y; A
set-current-plot "Lorenz Curve"
1 z0 ?4 ~. Z! s, ^7 H; i1 q6 R clear-plot5 }% O8 j* A: X8 k' v
% E3 n7 `, V; X+ `, y0 q" u set-current-plot-pen "equal"4 f" D! }* A3 w) V% i
plot 0
* n: S, @9 S9 _- P( ^ plot 100
) h, S. s0 @5 ~
1 @' }/ H* ^8 A- C4 j6 J9 w set-current-plot-pen "lorenz"
' V3 |2 @ H6 C& `: J& c set-plot-pen-interval 100 / num-people1 k2 i7 K; k9 t# \" l; X
plot 0) G7 s2 z/ A" A: c& n
8 Q" {9 O ?: y5 Y* C P; i0 r let sorted-wealths sort [wealth] of turtles6 s4 v8 M0 T# z) S* @/ A' P& r% J
let total-wealth sum sorted-wealths7 z6 E C9 v+ r: R; {) A y% T& G
let wealth-sum-so-far 0
% Y' T3 U6 g' ]& h- B8 R: H let index 0 g; I3 {( v; _& s
let gini-index-reserve 0
: q. |/ N9 F# k- P, |
# S5 u* n# o# C( G8 p0 F9 @; `+ l repeat num-people [
; [; z( q: ~2 T$ m set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)" d9 y, E1 J7 \) y9 T" ?+ N
plot (wealth-sum-so-far / total-wealth) * 100
9 S) c9 ~6 m7 r% D set index (index + 1)
* s y2 j; {, h s set gini-index-reserve9 ?+ m6 ` v3 Y6 X' t/ ?
gini-index-reserve +
5 p9 P$ w P& E3 h. i (index / num-people) -% y5 t% j7 B3 L! \( T
(wealth-sum-so-far / total-wealth)% f, I( w! n: T; }
]$ A. V5 [$ ?$ J
% i4 G" w* D! k set-current-plot "Gini-Index v. Time"
$ t! [0 R+ O P I0 y9 ^ plot (gini-index-reserve / num-people) / area-of-equality-triangle. m: ^' q7 l8 _& d! w5 H
end
/ O4 \ D4 C$ |! h* }5 x3 Eto-report area-of-equality-triangle
' `) H: G& [9 W1 p. G; {! n1 f report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
- q/ F/ b+ U+ Q. Rend |