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
$ j( z- o, q: M3 D1 B4 Oglobals
) K9 V6 J: z {* X2 H) m5 S* _9 A[
B& O. ^% h; p max-grain : g9 o0 j( o: W0 X/ r$ ~5 M1 w( v
$ s: G/ S$ P, t8 n0 {# Z1 Q8 U]& f8 ]2 C; p5 |& Y& \
8 m2 f( b# ]2 O, mpatches-own2 e6 M; I9 W6 `
[( {* }2 [8 T4 `5 I
grain-here ! }) k" w r9 x& s
max-grain-here & g3 M/ O- q0 R. }" ~
]
3 Q! d: Z& h2 V B( c8 Y' C* r
8 y- w" ?; k% q1 V+ F0 vturtles-own
+ f6 }- j; ?6 u# b, p( }/ W# S) u[
P* n- I( e- r) ~ age
' _% ^# o5 M+ H1 N0 z' W wealth + _1 N3 t# v& ~: q
life-expectancy
5 D% D- C, d- i3 B- d1 y metabolism
4 X1 k: X# S, i* u* ?: h vision( e6 L1 \$ B1 h/ c$ }2 e, _0 l8 Q
inherited 8 R1 y0 j4 d/ P' V
]$ M: t4 W, i# l! ^! d
3 O; Y `2 g2 i5 h0 G
) L( I5 }; S( |" Ito setup
8 b8 W) a7 h* S2 c5 M ca
! X* |2 @ e; R5 P, J# } set max-grain 50
1 I. _9 X/ z0 G' ?; |+ ^) `4 { setup-patches! W) B; s; r; {
setup-turtles
" k+ `- ^# v: u6 V' C setup-plots& O! T* N# i; \8 P" z
update-plots0 j2 O& a1 ]* \ E# S) A
end8 p: s$ ]! f& i! B& ?# o* n$ n' I6 n
to setup-patches
+ n9 t& F+ P M! M% J$ N ask patches
' k* O% R* X9 z3 y% P( s {9 D( @ [ set max-grain-here 0/ S R. u3 r7 A. |
if (random-float 100.0) <= percent-best-land
$ p5 k+ Y+ e. D1 {! s [ set max-grain-here max-grain3 e7 o5 _; I/ P7 r# Z. z8 H+ @
set grain-here max-grain-here ] ]' w/ N; l2 k3 v9 K; i+ a
repeat 5. V( q9 ?4 `: l& N! J( @" Q
[ ask patches with [max-grain-here != 0]4 P: K" M* W3 g' T: |6 U
[ set grain-here max-grain-here ]7 v6 Z% K& T! K
diffuse grain-here 0.5 ]
* d4 V. v c- r# j repeat 100 V+ x6 z/ R( q- S) ]: \# H
[ diffuse grain-here 0.5]
' A1 C! O* N' m4 f) Z) B% Q! B ask patches
. |8 v5 F( R/ g9 G1 e [ set grain-here floor grain-here ; F4 K [4 z0 a( H
set max-grain-here grain-here
- I5 x- Z( w3 d, ?# P- f recolor-patch ]/ R) I$ O* ~. z" g. B
end1 O. z3 n& E9 N
to recolor-patch 4 F( ^% E$ h$ J8 y, o! @
set pcolor scale-color sky grain-here 0 max-grain
% E9 w% L; o3 z$ uend
- [6 h8 t, Y N+ ~) \# \to setup-turtles
2 N) z9 ?1 k: s1 Q set-default-shape turtles "person"; b6 z6 O5 L! A' ~' |; h6 x
crt num-people2 U' V0 U7 s% F- u# p- N$ Y- e" k
[ move-to one-of patches 0 t, m4 z8 f- p- H: t) }
set size 1.5 4 q( _( Z5 p; V5 i1 U
set-initial-turtle-vars-age
, O8 y/ l3 ~8 x" A7 {4 M2 D set-initial-turtle-vars-wealth1 ^. Q" i+ w3 O; G( t
set age random life-expectancy ]
1 h# g+ h: @% z7 _# E- s recolor-turtles
$ R& n5 h: v; ?0 r0 ]end
1 o5 c7 }. K( x. T3 Y. Z* f* G
4 L1 p& W& e4 C7 f3 C9 E+ Hto set-initial-turtle-vars-age
. [+ h8 |% S1 w7 R. L$ o, I% _ let max-wealth max [wealth] of turtles$ m! p! c$ |/ t# E& N6 @( E% o
; z5 f3 M5 q, k9 v. a1 I6 V- i ifelse (wealth <= max-wealth / 3)4 m9 |. z* X( n
[ set color red
, l5 T' |* ^8 `8 K set age 0
% f/ d# e4 n; q" R face one-of neighbors4 " [2 t9 y) P+ ]$ a
set life-expectancy life-expectancy-min +
* W$ l+ A+ U# r8 G" l random life-expectancy-max
% ]' p; q1 [+ U- E) D% d# W+ E: O: ^- [+ U set metabolism random 1 + metabolism-low7 Y$ U0 n" E2 b) B% X
set wealth metabolism + random 30
5 x1 g* |( W( c2 @, f" _+ x set vision 1 + random max-vision* x' x! F2 C' t- ?; o* _; D6 z) M
set wealth wealth + Wealth-inherited-low ]
/ z. G/ ~% p% @. X [ ifelse (wealth <= (max-wealth * 2 / 3))
0 ?* ~, F5 O4 \* [4 ^0 p6 ^! O [ set color yellow / D ?: A" ]) n, a
set age 0
! o# `3 I* a: z' W y face one-of neighbors4 : e5 j4 U* _5 K5 M7 O( \* F) K' h
set life-expectancy life-expectancy-min +
- H% P$ i/ C, S/ P random life-expectancy-max + 1' K- [/ }0 a+ Q! Z: y( ^. {0 I: J6 y
set metabolism 1 + random metabolism-mid
! z! K* c; n/ G% ] set wealth metabolism + random 30! `1 o" B5 F; R1 B
set vision 3 + random max-vision
! _+ X9 B& D$ W! f set wealth wealth + Wealth-inherited-mid]
& ]! T2 p9 l0 z% ]" m* { a3 t [ set color green
2 b! H3 C6 r0 o ~7 S# G! q9 r set age 00 L; m0 }: ]' e
face one-of neighbors4
+ n! Z0 k+ Y# ?& S6 R set life-expectancy life-expectancy-min +: C( I+ n1 l( X2 ?5 K7 ?- y
random life-expectancy-max + 2
9 w z& h5 U& f: q) u/ U' I set metabolism 2 + random metabolism-up
6 I6 |$ U5 O6 r+ z4 V set wealth metabolism + random 30
( c0 s' K' G J4 U1 m set vision 3 + random max-vision
( e | g7 l, S6 Q* a x. |. x! s: L set wealth wealth + Wealth-inherited-up ] ] 3 O5 y8 ]0 a' B, r+ u
- c3 D/ t! H) y8 [end
" Z% w( @0 I* W7 S" w0 pto set-initial-turtle-vars-wealth4 N9 _- q' e2 |% U5 |9 z
let max-wealth max [wealth] of turtles4 ]$ k6 g+ V/ K7 a7 n
set age 0' t' d. P# h$ D8 f$ G8 A% a
face one-of neighbors4 / g3 o' ~! \- o" n9 }" n. B
set life-expectancy life-expectancy-min +5 @; |3 s' @; u& Q( r, g, H
random life-expectancy-max ' l/ R4 T: Y8 d' x9 @
set metabolism 1 + random metabolism-up* L2 |; |, K# G
set wealth metabolism + random 300 ?( }; G& o/ J( r
set vision 1 + random max-vision
* I5 P, L8 o# ^5 uend. ~! i9 d5 C) ?2 U
to redistribution
3 I" ]/ Y6 s ~" B+ l. O3 }) W! llet max-wealth max [wealth] of turtles
6 _1 U6 n# N! b: \/ ylet min-wealth min [wealth] of turtles& s1 h8 F7 J" }* \/ L$ R
if (wealth <= max-wealth / 3)- O1 }4 }2 w! [& g
[set wealth wealth + Low-income-protection ]$ {- A! _: U) B4 ~
end
* h, R/ f+ U, r4 }: i
1 J( M/ W% E9 V ^' f3 t7 n3 C' Vto recolor-turtles/ P9 u: t8 e+ T
let max-wealth max [wealth] of turtles; _5 E" B" }$ @3 Z* a
ask turtles- l! U' n( l- _ w
[ ifelse (wealth <= max-wealth / 3)& y1 n! e9 J' S0 }
[ set color red ]( z$ ?7 |- f- B& Z% {% E, {( G! T
[ ifelse (wealth <= (max-wealth * 2 / 3))0 R. m2 R* }' `; j! b. l
[ set color yellow ]- {7 a; A1 [8 j" c% @
[ set color green ] ] ]
# R0 W3 E! f9 m. e V3 G! @ ask turtles [ifelse show-wealth?4 A( |/ u v8 [: B* | G
[ set label wealth ]% f, V0 B7 b. E
[ set label "" ]]$ ?1 Z/ e- c/ K4 ^% l3 _( n% m; F; G
end1 K$ G! _: E- V0 P/ x: s
6 ~8 G: t" k3 D
to go4 z+ P# ^3 ?0 a7 [3 z
ask turtles/ I- _5 B7 v- c% S$ J
[ turn-towards-grain ] ! g w9 Y' q9 F
harvest
1 d' q+ w0 \. `; s' H: g9 e: U ask turtles
, ^3 e1 a) B& l- A: V6 r( m4 ]7 g [ move-eat-age-die ]5 z9 x4 n8 X. x- i4 |9 E0 l6 ^
recolor-turtles( y$ N7 ?- V# h/ D8 t1 v+ E/ m
if ticks mod grain-growth-interval = 0
( W( s0 C3 @4 B! Z# D/ z; @ [ ask patches [ grow-grain ] ]
! G1 U" V- j4 i0 K5 S* _& J . Q. v4 F$ V2 R8 L; }. m3 y
if ticks mod 11 = 03 F) `) u/ V8 P+ U& r# P
[ask turtles4 C: I7 v3 {) J4 G& N7 x8 k6 ]3 T
[ redistribution ]]. N2 t8 u" K ?' Z X5 ? a2 ]
if ticks mod 5 = 0* E, c) H r) s
[ask turtles
0 D3 m' @9 c% ~8 A+ a1 }6 W+ U [ visions ]]& d5 H1 S# B4 e# V6 W0 A
tick
) f# a9 P# m5 Y7 l6 ] update-plots9 A6 x4 J0 C* d1 U
end" f* y+ n: z) r* x% f8 T
to visions
6 [- D8 {/ e2 K9 p5 m set vision vision + 1
9 ]8 N3 r: b% Q, Dend( r, i6 [; F8 L
# V& P8 k7 ~( f, j- W+ l1 L5 b E# @9 Z0 k$ M" I
+ P( h- n% ~: U8 T+ Q! mto turn-towards-grain 0 S4 W" v8 @- U; a7 O4 z: Y
set heading 0
' t. O8 k2 K; C+ U let best-direction 0
" p% K2 | Q3 B4 B) ~ let best-amount grain-ahead- f8 w$ }# t5 W4 F4 H. N, T
set heading 90
# }3 Q9 d* I3 S1 d9 [; F& O if (grain-ahead > best-amount)
; i2 L4 c5 [) V; y" ^+ I, N' Z [ set best-direction 90# {7 o2 E7 F( Q9 v
set best-amount grain-ahead ]0 K9 c! @' B6 `+ Q
set heading 180
* o+ ?/ S* B. k" r% ` if (grain-ahead > best-amount)
# q/ N! c; K4 H3 { [ set best-direction 180$ c7 f/ w8 E/ \) x# g3 F
set best-amount grain-ahead ]2 q, ^3 S% \6 b7 H) `: \' a
set heading 2703 C0 U: q$ ^1 ^- i3 V) z
if (grain-ahead > best-amount)
- _/ b3 P! J* @8 x t! g [ set best-direction 270
7 A$ O; e) W# S% S. _+ S set best-amount grain-ahead ]
: ]1 g2 S8 {' W Y( Q( X set heading best-direction
* ?$ e) q& X6 q2 C! J+ C# Y. Fend/ S, ]8 k' ]( o4 y& _( `
9 B* D+ [$ l% R; |( t, c7 x5 f6 J( v- J( M) T' [- ?1 Y# u$ c5 Y) q
to-report grain-ahead " B" Z: F6 g6 X/ X, k, w
let total 0
+ @8 _' m) i! C; |! e let how-far 1# L9 Y5 J' v. ~* M& Z
repeat vision
9 @+ ?% }( T$ h' S. N [ set total total + [grain-here] of patch-ahead how-far' ]2 C1 b* H% d0 H7 H3 j1 \
set how-far how-far + 1 ]9 E( e v8 H- A
report total
6 t+ p0 h+ A/ n4 J( V& Mend
5 }# V6 s, s% W/ P3 ^* w ~
8 o: f9 B+ F1 _ _ E! D Jto grow-grain 0 [! L; V$ \! W, j. v! r3 S2 s# g6 |
if (grain-here < max-grain-here)
6 _: r" `. E9 {) Y" Q% R% W [ set grain-here grain-here + num-grain-grown, L! n+ |& P4 k3 h
if (grain-here > max-grain-here) : S+ }5 Z1 Z% q$ {8 z
[ set grain-here max-grain-here ]
0 L7 S# Z3 B( @3 H9 Y7 L7 \ recolor-patch ]8 c3 ^: Q" V& I6 c3 c: i( v. w
end, J5 k* P6 D# m. i. Y9 \3 @- H
to harvest
1 C1 Y% q* A3 J ask turtles2 z- t# f! G) h# K* |( H
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
' T8 ? C: z/ W3 {" {5 Q4 M ask turtles
\; I9 e9 s! D7 K: _9 L1 J [ set grain-here 0; [$ |# y! k. c$ G f
recolor-patch ]
8 y1 K2 {% q, f9 ^% w. A1 ~! R 6 P9 i# H2 U& z% L& Z" J6 x
end
Q$ M% Z, ?" e. r( y
# g, {# R( ]9 k: W" @0 k1 ato move-eat-age-die
- S5 C& {8 j+ J9 d" a+ `8 T fd 1
. z0 E8 {! g+ V- o o d% y set wealth (wealth - metabolism)
& V5 Y- E" e; D B- k4 s set age (age + 1)9 n& z. r1 `4 L( @8 w
if (age >= life-expectancy)
$ D1 [8 u) Y4 h; |0 k. S0 M" V [ set-initial-turtle-vars-age ]( @" h$ J& l' V& q
if (wealth < 0)
% n$ }* g2 E. c. z+ ] [ set-initial-turtle-vars-wealth ]# r. e, B& `( `- Q: }/ ^2 V
* U' `3 P3 |4 ~$ j/ E
end% T# m9 J# A7 Q. u( m& R8 v
6 j3 ~ {4 W6 z! W* W+ m: z6 T* x& ?# f9 b! ?" x* V
to setup-plots
6 O _, g) u+ t" A- e8 R set-current-plot "Class Plot"
7 R2 N+ N9 i2 T- r2 G set-plot-y-range 0 num-people
. G; j" E4 k5 f. G) M set-current-plot "Class Histogram"
9 Q; t1 d* [! V* |& W1 C0 y Q$ E) u set-plot-y-range 0 num-people$ _* |+ s3 o% D' r- g
end
( B+ p1 l6 d7 l4 ^6 J
* o0 ^# e/ R) ?7 A, {to update-plots% ]: r. f' e. b7 S0 T/ [" { h3 I
update-class-plot
8 g( @" S9 N( I: h: M update-class-histogram
* C1 z9 f5 ~9 `; d" z update-lorenz-and-gini-plots! }$ M. W# C* ^" O6 O
end" F3 f0 t' l: q- h1 t7 A
5 V4 |/ O$ J: O) U& \* Mto update-class-plot
$ C& h& X: c. a. O0 A: T9 x set-current-plot "Class Plot"
x9 q) w5 L4 e7 q5 j) P$ |7 Y& v set-current-plot-pen "low"
# g) q+ E2 ^1 b0 D plot count turtles with [color = red]: H0 u7 Z: R6 g' N7 ~
set-current-plot-pen "mid"
@# w0 o% e; x plot count turtles with [color = yellow]
, ?5 E2 ]$ f/ c+ P k% N set-current-plot-pen "up"
N9 K* T5 I1 \0 g$ m3 x plot count turtles with [color = green]) \5 F+ z, R/ }: k) i" R4 ]1 T# g* B
end
9 c9 U: F5 N- F# x1 E; g7 g9 v" {+ S' F) `, \6 ]- g
to update-class-histogram
; z& E8 V4 F3 y: @2 w* J; p set-current-plot "Class Histogram": c3 c8 B! V# |9 O! v \
plot-pen-reset9 C5 i1 v3 a7 s5 \" [6 ?# f* B
set-plot-pen-color red
, I l% F) v7 W% i plot count turtles with [color = red]! E' _8 E+ n' I: L
set-plot-pen-color yellow
( k: S" Y# M- H( |1 { plot count turtles with [color = yellow]( [0 D- M" ~3 V. U# Q
set-plot-pen-color green+ T: i, d$ Z1 u- E, `9 p
plot count turtles with [color = green]
) L4 Q+ Y6 c. |4 @end/ e( R) w: c: M/ z3 E
to update-lorenz-and-gini-plots0 V( m1 m7 a; }- q" l
set-current-plot "Lorenz Curve"# P5 M0 H) }6 G3 O
clear-plot/ A) f) L6 T8 Q2 V* j( ^/ |# H4 t; r
+ Q, ]3 U4 b; O, | set-current-plot-pen "equal"; A7 x3 P( X' ?& }" b2 u
plot 0
; M! k$ |2 O4 a+ U* F plot 100
& @. n. u0 W) R; M8 I$ J8 x1 }+ y5 E o3 o, \
set-current-plot-pen "lorenz"
& F+ ?- U/ [0 x set-plot-pen-interval 100 / num-people( Q8 U* U5 G$ m) ]6 W
plot 02 R: ?2 ~0 W* l B, ?0 d, C
0 v9 J* e1 F; v8 j k9 O let sorted-wealths sort [wealth] of turtles
% K' @& U9 q+ a+ {; z let total-wealth sum sorted-wealths
8 z8 |% m7 K. f let wealth-sum-so-far 0
; }* |4 Q3 K1 D V' T let index 0, a5 X7 a/ T3 F' W- A0 q! R
let gini-index-reserve 0
7 E! }- v' Q5 w0 C" i1 C
( p0 i! g. Y: \. s1 h/ c repeat num-people [# O3 Y+ F' R' {
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
! g4 D4 l) g, P: P) i; K plot (wealth-sum-so-far / total-wealth) * 100
8 P7 x& G3 j( P( G set index (index + 1)! Q. ^- L* l3 T; t9 H F/ J, l
set gini-index-reserve
1 i9 q2 k) g- ]; u- X5 K8 d9 f gini-index-reserve +
1 Y2 ?" n9 }' P7 a2 V; F (index / num-people) -
- P/ l* _; h5 S2 D3 O( u K (wealth-sum-so-far / total-wealth)+ U4 s, p; s3 c! i8 a) c* N& [- x+ l
]4 @" f$ e' C$ _
) Q. z) t' L/ J
set-current-plot "Gini-Index v. Time"
8 Q8 k; R6 Z l' U C plot (gini-index-reserve / num-people) / area-of-equality-triangle) p4 `0 R% x" Q) U8 F
end$ j; P. \: }1 }2 ~* C' }' M
to-report area-of-equality-triangle* x8 F: H3 _: v( J! ^- D
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
* x. c6 [ z* v" Gend |