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% Y! z$ q W4 V" _2 m- c+ s+ ?( s
globals
; I( m k/ } [4 D; d3 J+ M[# r- _4 s* ?1 w& S. [
max-grain : O+ G$ L3 Q9 ~$ _
8 I' A+ w4 ?" |& I. b]8 z7 n9 q2 [2 ?, H
& }# {7 A. t5 T5 x Z6 n {. b% b$ t0 upatches-own8 Z0 N z+ M1 v9 ^
[
0 |+ K# V; h2 j5 Q3 B. ~ grain-here 8 d* D/ G+ }& a3 ~; t
max-grain-here " E+ Q) w# {; @& E# y3 m
]+ K! V" ?# t: A+ ]) B- S7 q
- ^1 t- S! j$ t! `' v: {turtles-own
1 c6 V) F Z* }2 L# B6 t* B& u r[1 d$ L) C0 A( X
age
+ f5 ]$ _' d c wealth
1 K8 T- a/ b$ | life-expectancy
( P8 ~. }$ _! |8 B- }/ O metabolism
4 D; @/ q% Q8 I; l5 t6 L% U9 l vision& n6 J" t& y* `0 Q" i
inherited
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5 d3 Y7 N0 f' h% h K2 `$ `( w2 \3 o4 M; u7 t2 F
to setup+ g( a3 L0 {7 B* Z" p
ca
( h* @- y9 D* n* e$ T set max-grain 50
& ]# ~ {4 ]# {6 y9 d8 P setup-patches
' k# G1 c( V. ? setup-turtles
$ Z& |- T0 i' G0 `7 p5 e setup-plots2 P u, a- Q: {; z
update-plots
+ M0 v; d2 L% o7 e( J1 Mend
9 {1 Y( R5 f+ R$ U }" eto setup-patches
# k; u" A$ \0 k0 ^8 S- k/ r3 J- P ask patches& H4 ?1 j9 s: a* S, s
[ set max-grain-here 0
- X3 O# [5 U& S a" U* g if (random-float 100.0) <= percent-best-land
' j+ Y# q# h9 E n [ set max-grain-here max-grain9 z% i( C9 j- b* ]6 Z. A9 Y9 u# \& x
set grain-here max-grain-here ] ]: w" u& x' | C" k4 u, C
repeat 5
. F8 W! o( c* v7 c [ ask patches with [max-grain-here != 0]2 ~' J/ v) D" c) i( L
[ set grain-here max-grain-here ]& _* z$ g8 l1 i! }- \& T( w# R' {6 i
diffuse grain-here 0.5 ]3 Q% m+ _/ P4 ?) |+ C1 Z+ _0 K
repeat 10+ y& z( W( G% G3 ^3 w7 h
[ diffuse grain-here 0.5] 2 R& U6 T% y* N/ h, I# w) T
ask patches) E# E: p% F/ t8 a4 M6 W
[ set grain-here floor grain-here 7 y' L2 e% @, f. H% o! u" w
set max-grain-here grain-here . [3 @, u8 [' ^1 y# s0 K
recolor-patch ], C! n1 Y# B0 n- u% M7 h# L$ P; j% Z
end: S8 I1 u! P F) a. j+ J
to recolor-patch
9 ^0 G5 u" r+ ]6 ]5 z% |8 a8 b0 { set pcolor scale-color sky grain-here 0 max-grain9 A- i3 X" `" c# m2 f
end
4 r( r5 p: I# E/ B1 _to setup-turtles
' A0 a: e/ W5 ? set-default-shape turtles "person" Q+ m0 h& V9 N$ R5 w
crt num-people) } y, R- T+ c4 g2 n( \
[ move-to one-of patches
- b- B& \+ k# y7 U9 ]9 o0 P set size 1.5 & L* m1 \1 ]4 j# Z M! T
set-initial-turtle-vars-age; k2 o3 s4 F7 l4 z
set-initial-turtle-vars-wealth
d2 R5 A H# l A7 s set age random life-expectancy ]
4 R& J* b* ~) ]# l" ~6 P recolor-turtles c% l, W% f- y+ W: k1 S- E$ V
end! A8 a( Q% n; w: m
" w+ @0 f$ e8 p. dto set-initial-turtle-vars-age
2 x' `0 x% \4 q' U let max-wealth max [wealth] of turtles
% Q7 W' s% V& B7 z9 Z
4 o0 j4 W4 |' N6 ^$ O% _6 D ifelse (wealth <= max-wealth / 3)3 ~9 \$ t; a2 q: A Y
[ set color red ; i7 r/ m+ Y2 F
set age 0
) T+ }( A- _9 ]) I, o9 J; A% X( U face one-of neighbors4 ; Q! _/ z+ Q& G
set life-expectancy life-expectancy-min +
6 B* }. m% w: L* X0 M+ i random life-expectancy-max
* K0 }2 m7 c; x0 M# r! Z6 A7 Z! y set metabolism random 1 + metabolism-low* x: a# S" Z" c9 ~0 x' a9 X
set wealth metabolism + random 301 x( m+ U( H7 D0 @& \' |
set vision 1 + random max-vision6 ]/ H2 g; d9 r" b
set wealth wealth + Wealth-inherited-low ] O/ d9 v/ T/ G: {: V
[ ifelse (wealth <= (max-wealth * 2 / 3))" P6 R7 B; s$ q
[ set color yellow 4 Y3 C/ w: M; o& {3 o" G
set age 0
" i; H8 q5 Y! w+ s( W F face one-of neighbors4 ! w" c! m! E' Z1 P' r2 f- [9 U
set life-expectancy life-expectancy-min +
, N$ X H8 Z5 q" a6 A" B/ t random life-expectancy-max + 1
$ h' ^ T: s: |( `1 }% c" y set metabolism 1 + random metabolism-mid' s& [0 \& f" d: x, G5 L& m, }
set wealth metabolism + random 30
2 q$ w- F/ i$ I. |( R- k set vision 3 + random max-vision, y( d ]- m. a0 p# j! X
set wealth wealth + Wealth-inherited-mid]+ [4 @: f: U1 y. P
[ set color green 7 Z4 ]5 t- x- \: K3 Q5 j8 p
set age 0
8 I" W* |: d- S- q3 t# F, I" t face one-of neighbors4
& F* L- J2 N; A) b# N; K" S set life-expectancy life-expectancy-min +
7 U, x4 m; f3 v# K! B1 X) t random life-expectancy-max + 2
8 s9 a" z/ g" C. q3 V, W set metabolism 2 + random metabolism-up" G+ H d" z9 y8 @( v: @' |6 ]9 R0 _
set wealth metabolism + random 303 t. A, Y1 j2 F, f
set vision 3 + random max-vision' U; w* I4 u E: `: m2 N
set wealth wealth + Wealth-inherited-up ] ]
) |3 z, j, D8 Q' N- n; z
6 f% ]9 ]6 A( rend
5 Z5 Y, e2 C5 pto set-initial-turtle-vars-wealth
& m' K) \* J& u let max-wealth max [wealth] of turtles
' Y( u" \, i1 |9 ~ set age 0
i8 R! a3 k* n0 r* P& s face one-of neighbors4 ! g9 }, P, x% n1 D. A
set life-expectancy life-expectancy-min +
9 f: }: z9 N( y: u random life-expectancy-max
" ~% ~3 ^8 ~8 }* p' h& v9 X) X% a& [+ S set metabolism 1 + random metabolism-up$ f. T g; b3 r7 Z5 S
set wealth metabolism + random 30$ k0 b' a; D+ }1 K5 t. J
set vision 1 + random max-vision / E( H+ [6 S" a0 }8 @4 J% l
end/ J8 w1 u$ Y q0 V) K9 _& [# q: C
to redistribution5 j/ e y7 {% I; b0 W& ]
let max-wealth max [wealth] of turtles* |) F f, u$ |! o I) c
let min-wealth min [wealth] of turtles4 i7 Z* ?1 u% _, c" f/ J8 n
if (wealth <= max-wealth / 3)8 N3 i; | E# [" m& X) Y# z
[set wealth wealth + Low-income-protection ]
, u" O a& o& C2 Y' aend, B9 u) Q8 s6 E$ R# ?$ l
0 q2 A% }4 x1 f0 V( ~3 pto recolor-turtles2 a0 u/ r! F4 x( j/ e# `$ d- ?2 M
let max-wealth max [wealth] of turtles
: g9 r2 a. k# M7 | ask turtles
3 N. _+ j e4 r4 W* D, X/ | [ ifelse (wealth <= max-wealth / 3): K/ K/ M4 A- H- y
[ set color red ]( n6 F/ ]7 b& a
[ ifelse (wealth <= (max-wealth * 2 / 3))
5 ?( e& u& |5 e8 F9 f6 F' G [ set color yellow ]
4 V2 ?% }/ ~/ D8 y$ R. F n3 k [ set color green ] ] ]
& @- v: \5 U G8 n2 C1 z. _ ask turtles [ifelse show-wealth?3 S" m& q @& h3 Y; d
[ set label wealth ]
9 r/ o i) r1 Z8 U7 F4 m [ set label "" ]]0 i. [6 C3 J5 ?& i# {
end
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to go
" R2 r2 K! @" l0 d# F0 n& ? ask turtles
, t8 e0 E {2 x6 b% L% j [ turn-towards-grain ]
- n* [' g2 I/ U0 h8 j4 k# o harvest
: C |# `* v" g5 g" G0 g: K# o ask turtles7 Y5 m5 {! ]2 g( s) v2 q, V! J
[ move-eat-age-die ]
$ W9 [ A2 }2 _; Q recolor-turtles0 v+ ]3 C& X- `0 ]7 u$ x# V+ P u. Q
if ticks mod grain-growth-interval = 0
7 P+ D. g6 v+ W3 h' x8 h% ` [ ask patches [ grow-grain ] ]: d' _0 R2 a7 q/ B) n2 i* F
5 |( w# b, L. h' _ if ticks mod 11 = 0
+ K, m* n4 r! Z: c9 Q% H# c6 d [ask turtles9 U7 Z. x# Y: y% Y4 o
[ redistribution ]]% d: N6 Q$ h2 [, q
if ticks mod 5 = 0( O5 ~% e3 V" t# _$ ~+ ~9 G8 f$ e
[ask turtles
8 v: E+ Z$ M4 M( @' _8 R' @ B [ visions ]]3 g- S, {3 S$ b1 Q: x/ S, C
tick
' _6 A0 U) H1 I1 M) a K update-plots
" J2 z* l" d$ e5 \8 U) Q: Eend
6 G# M* M- [2 H s+ k% r, m5 D! R9 fto visions& d9 i+ f3 _3 f% d6 g, `
set vision vision + 1
) o/ g& X" o4 @0 F! @end# |! p! |- F/ j3 P9 a
s% J. [. ^7 S5 @8 `
% Y) m4 t( i% Z# Y7 W* ?( G# G
0 ~# H& Z- h$ g2 `# xto turn-towards-grain
" W6 H5 o6 C3 J8 }, h; k set heading 07 u9 |2 b# O/ B" z$ D2 e" o+ W
let best-direction 0
3 {, t! `% e5 L( G8 H let best-amount grain-ahead3 I6 x7 |4 n2 s( z/ \
set heading 90
v) ]1 ]; {8 P2 j if (grain-ahead > best-amount)
- A k# W. [$ i( ^4 y" p- X6 e; m [ set best-direction 90
+ }5 o; e) m3 m6 K5 Z1 } set best-amount grain-ahead ]! d% ^# G: C# w+ z& M, a6 n( v
set heading 180& y8 d) f/ [ l- f
if (grain-ahead > best-amount)8 i9 A& c) C" V3 y; C* y
[ set best-direction 180
( R% k" Y8 X+ j# N* L8 M2 l set best-amount grain-ahead ], i) A% t& f. c7 S4 ?
set heading 270
; A' v% M$ k# c$ D* f if (grain-ahead > best-amount)
6 @& I) q" c% Q T [ set best-direction 270
t/ h/ X: B+ ^4 t7 q set best-amount grain-ahead ]
: G6 q1 Y9 |2 C) K# ?6 f set heading best-direction' b0 \5 `! M" L, H
end
% A( X" P8 h8 F% K a9 L+ q4 b' R; f2 R( {- v: h
0 {( e/ J, N/ s$ |0 Pto-report grain-ahead 9 N1 F, u D2 ^0 F6 \0 v" W# [5 t
let total 06 b- r" B, N! y0 w. z
let how-far 1* U' n& ^5 I# j
repeat vision& T/ [$ c. O3 G$ z, H
[ set total total + [grain-here] of patch-ahead how-far+ u1 ~: v K. `
set how-far how-far + 1 ]
x U/ C1 b, v8 Y) i# I2 r5 ?: V W report total t& x3 y' ^) f$ `# ?
end
8 b! m7 J; ~( p! _ `+ u* R- p5 x# N9 Y w# B
to grow-grain , S# v4 u! u+ n" ?% e
if (grain-here < max-grain-here)+ F, Q" s* H( j$ V0 @* `. _
[ set grain-here grain-here + num-grain-grown
5 f( J# K d5 P if (grain-here > max-grain-here) 0 h( H" x, m+ v) w; M
[ set grain-here max-grain-here ]
1 S9 H1 F; H- Y4 z; t/ p recolor-patch ], z6 \* T9 h) y, a- I- ?( g
end
! a( t' v" |3 c6 f9 P5 j) qto harvest$ f- `* a! E8 M7 n
ask turtles& _+ g0 ]! t2 s
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
3 M! C1 c/ D v. H8 i6 ]6 y ask turtles
; X1 g- p6 L5 e# U [ set grain-here 0
7 j& l8 N9 G, d8 }8 w recolor-patch ]
, D/ v/ L) u5 m & R/ s: Q% y5 p- B/ D+ u
end4 X }( G: w+ ?3 E3 ~
& L, b+ Q d' p5 ]+ G; O# J
to move-eat-age-die ! t: R @3 ~; K$ ]8 A
fd 1
/ \0 q4 Q; `+ e) `/ Q% w0 p set wealth (wealth - metabolism)* m4 u% ^, F9 B& p8 }3 @$ T
set age (age + 1)
, u8 t+ ^) O9 \; G, V0 x if (age >= life-expectancy)2 [1 F" t6 I5 j- S0 {$ a! M
[ set-initial-turtle-vars-age ]+ ]2 h- k$ O8 ]
if (wealth < 0)
5 b2 Y+ M& N$ Y0 q) o T4 D [ set-initial-turtle-vars-wealth ]7 H4 H7 s3 D, P8 N6 X
. J8 b2 }' W' Zend
& N+ X- K/ d4 s
1 M3 |- ^+ Z) [8 p; G0 D6 u
2 R2 x! }, i6 Y) v' c: Bto setup-plots& Y) h) k- W* r2 g; f7 b
set-current-plot "Class Plot"
% d1 e2 I7 K0 D3 T" t2 J set-plot-y-range 0 num-people
5 j; _" A* P7 Y, e6 x set-current-plot "Class Histogram"
$ }. ~# P/ Y0 k; b set-plot-y-range 0 num-people/ @: G3 V" u/ t" S" a; m5 S
end
- r4 j% q ^" g7 g! d, |- m
* L p0 v* E' R1 Q+ @7 bto update-plots
+ S: E- \' a5 ~: } ~ @ update-class-plot
$ ~. ^# D) f# Z# F! H, u1 B2 m update-class-histogram
1 @- V2 X6 u/ b0 w: ?, Y }/ k update-lorenz-and-gini-plots
. L: W. v3 C% ~! I& mend+ A+ g% q: N- P9 }8 ^, i/ P. Q! N
) j5 f7 b5 i$ j6 x+ M: X" U
to update-class-plot7 K' R$ H5 |8 g- ]; ]/ L+ j
set-current-plot "Class Plot"
% {2 V) Y, n1 q x V set-current-plot-pen "low"
3 P, U' r+ s2 e# w# m; M. S7 O" R, P plot count turtles with [color = red]
; l2 Z' D; @1 l0 R set-current-plot-pen "mid"$ R& U7 c3 }4 f4 a+ G# L _; r
plot count turtles with [color = yellow]
. T+ d0 S' u4 _3 {" E/ T& X set-current-plot-pen "up"
8 t) d: K5 ]( F0 X/ Z! ~" B plot count turtles with [color = green]% g6 q& E: A/ c, f$ m4 D
end) @2 ~+ t! R0 ~) K3 E; q" ~/ ]
5 v# u& i5 l/ n3 [, Y5 j0 l# a
to update-class-histogram
9 _! V0 F% T) K7 i0 ] set-current-plot "Class Histogram"5 ?+ D5 ]9 b% l9 F8 f5 k
plot-pen-reset
( V- A. {' w G$ r8 p) T set-plot-pen-color red
, Z" {6 ?2 {; F, O) }3 ] plot count turtles with [color = red]
9 v* q1 k p: i8 \0 v) T- B% Z set-plot-pen-color yellow5 b% e$ ]7 V& d
plot count turtles with [color = yellow]2 t; N# d& ~: t4 _
set-plot-pen-color green% d7 p* G, L. U6 Q4 a! J
plot count turtles with [color = green]
+ x- \! ] P t' V. o. ?3 Wend
' q/ j7 I$ V" }to update-lorenz-and-gini-plots
, P% W9 m2 Z2 R& i4 l set-current-plot "Lorenz Curve"% I8 H# y1 s6 [
clear-plot
- C9 U) _% b, S6 b6 w0 Q
# B1 X; Z' {2 a( E1 \3 ~9 Q; c: y* w set-current-plot-pen "equal" Y2 g% A( |/ a( k
plot 0! d7 P/ Z$ x( }% T
plot 100
' v* d( q# t" W6 R2 q
7 ]) Y" k( Z! C R8 I set-current-plot-pen "lorenz"
) f; [5 l( a8 `7 W9 t set-plot-pen-interval 100 / num-people
: t% m; [; T. r! M6 U/ L, J plot 0- T% {- _6 p$ Q( k
f; e$ J5 n6 C. S1 s' | let sorted-wealths sort [wealth] of turtles
0 `6 l+ Y- H! {9 B+ e! | let total-wealth sum sorted-wealths# ~6 ]% [2 i: i0 @/ q+ g
let wealth-sum-so-far 0, n5 i* \: y" U4 R& R* F: V
let index 02 u4 H5 X% b! }$ X+ a
let gini-index-reserve 01 _4 ?8 ^ A8 }8 ` R
* p+ j$ b0 x/ X, P7 z$ `5 ] repeat num-people [
/ I* J3 t: t3 u- e& m) s' @0 \5 E7 K set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
0 m1 a% S# C" [/ `# E% N2 d2 B) J/ E' D& i' S plot (wealth-sum-so-far / total-wealth) * 1000 M5 t/ R1 l% T
set index (index + 1)
; z* `& B7 d1 D# R% x$ ~; k- p set gini-index-reserve
( Y/ s6 x: t5 F# o/ p' O( o" J gini-index-reserve +
% _/ T* S/ S5 z: _+ v1 ?, \, S$ ? (index / num-people) -0 M; x3 @/ b6 J& F
(wealth-sum-so-far / total-wealth)
& A3 y, K) u0 F6 s ]2 u! c P- A0 d. x; N+ n$ h& K3 B8 W
5 u- t6 j+ Z% A9 B9 S8 Z set-current-plot "Gini-Index v. Time"6 h% [2 Y+ ~! P+ [* ]
plot (gini-index-reserve / num-people) / area-of-equality-triangle
0 J& j6 A7 A, W+ c; p" H* X: uend
' B2 G" u# j, J/ o, f. v& g3 Pto-report area-of-equality-triangle
5 V2 |" u) R- ?4 i6 d+ s report (num-people * (num-people - 1) / 2) / (num-people ^ 2)3 Z% P- h" O9 J! \1 N; j2 R( K# v
end |