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
% d( w" |$ m% w5 a. d6 K* qglobals
' g; @( c4 W" o. |1 {) u[
" w: \" ?4 Y: a" n max-grain " I+ `* o$ j+ W F
^. w' I# w3 |/ Z' [! H; j+ |
]4 c! V6 W, Z6 K9 i0 j7 m2 h
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patches-own6 `' G2 G/ i3 ] f {6 X9 ]& X. V& a
[
# H; A2 V9 {/ ?' m9 f+ P grain-here
$ C/ L6 S. q0 Y; D: [ max-grain-here 1 s j1 B! x4 S; _% [# K& G9 g6 H- a
]
+ S- o- a' B' Z) Z3 u! D/ P
3 H3 D6 m" ~& Zturtles-own9 c' D4 Y' V8 f- A
[4 b T- |& Q2 W. z% J1 E
age - v/ q" b9 ~* P+ M+ B8 k
wealth
9 e0 E. H$ U0 e2 `7 ` life-expectancy
9 R; o* b3 m4 F' l7 E# U metabolism 3 n6 ~9 F5 }% V# L0 ~
vision, V: a! W4 f* Q3 r1 Z1 N% a- h
inherited
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5 t6 t3 {3 z* t; r. t
# ?' D( {% F1 l- }" Z1 Zto setup- T; U! J" f6 N1 c+ x
ca9 D& m) C% c+ u
set max-grain 505 P+ _3 L: k3 Z" i4 B
setup-patches9 V1 T2 q8 r @* T: p
setup-turtles
6 K6 l+ W+ C, u3 f% g, y setup-plots
1 F. q, q \: m& \) k. z& N update-plots8 Q1 P4 ]& J7 Q: [
end
0 Y( V6 u- l9 n/ I1 S3 c4 B) q0 Uto setup-patches
6 h5 Y$ H; @: |. b4 _ ask patches, X/ z! q3 K' I* @5 B4 S
[ set max-grain-here 0
2 t: V: h- E( C0 F. B% R; g. w if (random-float 100.0) <= percent-best-land
: W6 {$ \8 E' |* Y8 W [ set max-grain-here max-grain) ?( K* n2 d" @7 l: }2 O* x* ?! P
set grain-here max-grain-here ] ]
; |: G8 E1 }: c" I! E- n8 F) r repeat 5
# R' _& z7 P% Z9 G0 x [ ask patches with [max-grain-here != 0]
5 a* e0 H: i; o; B [ set grain-here max-grain-here ]
6 h9 G. r& [ x# @# v diffuse grain-here 0.5 ]' L0 p% Y( d% f1 X7 M0 ~% Z% F
repeat 10; j0 X+ U g! C' y+ @1 ?" e& k5 {
[ diffuse grain-here 0.5]
# Y( B! J) l {! K( x! u* | ask patches
( v5 w: }- e4 u+ S [ set grain-here floor grain-here 3 F) a% T. B' a% q: ?
set max-grain-here grain-here " A$ y/ ]+ T9 D5 E5 u- n
recolor-patch ]' V& \8 k, C5 S; a l1 Z- x$ E
end3 B5 p8 ^, r$ x2 H, c
to recolor-patch $ B4 b! I4 V/ T, @$ p
set pcolor scale-color sky grain-here 0 max-grain
6 n1 T4 Z- w% \- ?; u' rend
2 @# r2 r5 \5 v4 X0 Gto setup-turtles
d; T7 u0 b. l. v$ [* X set-default-shape turtles "person"
6 e I B5 @. B# z2 R9 b crt num-people$ T& r$ N* o: u# ]$ Q
[ move-to one-of patches 5 Z/ t7 I9 J4 D/ e+ G
set size 1.5
% t7 u! u' {/ r- ~% x1 Y( r set-initial-turtle-vars-age- O2 h2 u& h2 J6 Q: P0 b
set-initial-turtle-vars-wealth# s: X) C& N8 K* Q- O8 U1 f& q
set age random life-expectancy ]
8 m+ Z0 z" f, Y* j+ H3 h: ?* ?3 m recolor-turtles
0 @2 m6 W% ~* e! m" I. ?9 rend
! [/ C+ D" M" U/ c! i
! E# M. |* I" i ?to set-initial-turtle-vars-age( X8 \" t% S/ U' N8 ~* T
let max-wealth max [wealth] of turtles
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ifelse (wealth <= max-wealth / 3)
; P% G& { {) m; G# j [ set color red
$ u& j: J; O4 H5 | A set age 0# b; D9 j2 v N2 j3 {* t. ~
face one-of neighbors4 , G: @" b9 A1 ]' ?) @! h& S/ A
set life-expectancy life-expectancy-min +
$ z1 _ _- O. i) K. v0 M( s random life-expectancy-max
8 O1 n# C+ \' I0 Y; {& j7 J set metabolism random 1 + metabolism-low- Q6 k: P# S' j% ^0 J* P
set wealth metabolism + random 30
; Z2 u9 @) `, k0 C4 w9 [% `8 k set vision 1 + random max-vision$ h3 h, d9 Z/ E, q! b9 w
set wealth wealth + Wealth-inherited-low ]
4 r* m [+ O) L1 x$ f [ ifelse (wealth <= (max-wealth * 2 / 3))) s- t: M$ A* b! k' y
[ set color yellow # B- H1 `. e0 Z/ m4 y6 B2 q" {' k
set age 0' O; Y" \3 c1 \3 e7 g) F9 B
face one-of neighbors4
% b& \+ Y0 o+ j( J0 r! L: o set life-expectancy life-expectancy-min +8 a8 v) G( x4 x4 X/ ?0 a- l% v
random life-expectancy-max + 1
9 S, r0 Z) G( c* ? set metabolism 1 + random metabolism-mid- e: f; Q) h! c6 T: u: w2 g2 i& l( s
set wealth metabolism + random 30
/ ~9 I! P' @* \ B set vision 3 + random max-vision
5 W8 i$ P9 m. v4 c set wealth wealth + Wealth-inherited-mid]
* K4 `0 F; f, I. O [ set color green : ~5 r: g( I, @' h4 e
set age 0
+ J; Z+ R! S' f; s# V face one-of neighbors4 * p1 S9 C& E; F7 F, L% h
set life-expectancy life-expectancy-min +) A7 J. p# E, K. I
random life-expectancy-max + 2$ e- [" `% F5 s# `
set metabolism 2 + random metabolism-up
; k9 U; r5 f$ Q set wealth metabolism + random 30# d5 D$ P- t- B
set vision 3 + random max-vision* g$ o& B% U# @+ H
set wealth wealth + Wealth-inherited-up ] ]
5 D. Z+ N- m3 u3 P
: l; y2 y$ n* Z- a J# L% Tend- e: `6 q! s5 i9 N& N5 d
to set-initial-turtle-vars-wealth
3 O7 X }3 {+ b7 l1 e let max-wealth max [wealth] of turtles* n) J* @ Z s' E: o8 P: S
set age 06 m. W2 Y' D1 ~! \! m6 {+ J3 j# d* z
face one-of neighbors4 ) R" N- i) i& j- S/ f" I1 ?
set life-expectancy life-expectancy-min +$ [0 X0 } [9 z/ |
random life-expectancy-max ) l K3 m6 {+ ^6 u- ?5 N! W
set metabolism 1 + random metabolism-up
* L8 h% M2 A! }" V% w+ o set wealth metabolism + random 30
7 `$ W# _, D; S0 \* I set vision 1 + random max-vision
% Y! J g1 k( T& T6 e3 I" q1 kend
) v/ R$ `# d" h& U8 C1 p2 }3 ^1 Tto redistribution: x0 }6 l% z- T& O
let max-wealth max [wealth] of turtles
$ u* J3 @) T) v1 B# G. h6 Jlet min-wealth min [wealth] of turtles
2 k9 p7 z* K3 ^* S. o! Bif (wealth <= max-wealth / 3)* x+ a4 B- X3 f( `8 A' f i, [1 ~
[set wealth wealth + Low-income-protection ]% e/ R6 g. K$ B$ I& M/ w
end3 j- ^) L" }7 ?0 Y7 f0 k
4 s. K2 i- z( l& |- hto recolor-turtles
$ H/ B! E# [0 n let max-wealth max [wealth] of turtles
9 [/ L& W, D# \0 @5 u0 ` ask turtles
, ~! c( P; Q- s; I ^: w5 N/ ` [ ifelse (wealth <= max-wealth / 3). b/ C4 e! ?. H$ B
[ set color red ]
, g$ ]2 X7 M3 T( y, U [ ifelse (wealth <= (max-wealth * 2 / 3))2 ~8 U% {- x. f8 ?) ]( t2 u7 H
[ set color yellow ]
7 [. A/ s0 M2 e. r9 }! d [ set color green ] ] ]
2 y" Y8 d$ W3 m! Y; ` y ask turtles [ifelse show-wealth?- J5 `1 o. z) g9 g: Y4 P) r
[ set label wealth ]7 ^4 k1 R9 [2 o6 L p O f U
[ set label "" ]]
3 ^, A! f0 J1 C* a3 X6 A/ ]( qend
+ d" d9 \0 `2 o A+ _$ |0 y9 d+ Q. e' q8 O) x
to go
5 n+ y) X: E5 q7 U# S5 X* @' c ask turtles
: J; O% f' R! ^: e5 _, l [ turn-towards-grain ]
W- y- b3 \# u9 |5 j# j harvest2 J9 _' A- v9 k: k! F. K2 W
ask turtles
0 v8 Y0 J! C/ z6 t. z" M' S [ move-eat-age-die ], n7 N8 Q, `. \, m+ C, x
recolor-turtles% z) t1 }" e7 [; _, u! ?
if ticks mod grain-growth-interval = 07 {$ }& w: i+ d% H
[ ask patches [ grow-grain ] ]- p# r2 _! v% q, m4 {: E
- h+ t! I% `+ b1 |5 n" G
if ticks mod 11 = 0
6 v4 i' U0 r' ?" f+ k0 F* T. e [ask turtles
; [2 I% H; f0 s [ redistribution ]]+ ]2 d, ?# }$ j7 F9 S
if ticks mod 5 = 0; }9 ]6 w% m- p* K
[ask turtles
5 E' B" j4 G7 {% a [ visions ]]
2 X' H4 W& W1 m6 _ tick
9 }2 f9 F9 f& j/ f' o update-plots+ e2 b( b: [4 y7 S. Y. H
end7 {$ m5 ?& E3 E, R1 _! L9 s+ b
to visions3 Z. ~% z6 B! o8 C$ {9 o. N
set vision vision + 1
3 j6 j# x8 F* |end
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1 X, b9 h+ X7 n3 B( s2 y2 n' Z! N9 N! p0 V
to turn-towards-grain / w0 e, p' ]% R6 f* F
set heading 07 `& ]1 k2 d) d
let best-direction 0
4 t& V3 m" U+ m, f* Q let best-amount grain-ahead
( Z# Y% ?8 E5 C7 a9 H) Q set heading 90
4 v" H$ g8 ^! l( o; @3 D/ z ] if (grain-ahead > best-amount)
% C6 d0 g1 u# W# |3 i, P/ C% ^ [ set best-direction 908 t6 L; z; _- M' c8 a' F% A' t+ m
set best-amount grain-ahead ]+ d' T& E8 U) }/ e! u6 w! m
set heading 180
" M" y- \* G& W3 | if (grain-ahead > best-amount)/ `& L3 J# k' P+ f9 _7 b: M
[ set best-direction 180) h6 h; N. |) j; ]2 k `
set best-amount grain-ahead ]1 b9 X* [- c- n L/ i! [9 v8 M& B- Z
set heading 270
. S3 J+ F9 T" t) w* a8 Q- ` if (grain-ahead > best-amount)0 J# t+ p4 z; p) K4 [
[ set best-direction 270# u3 k; Z6 S# t& C3 }$ C
set best-amount grain-ahead ]6 G% ?0 j& _8 d4 X; b$ }3 _
set heading best-direction3 P# n7 G' C. ?) l n* O! k
end- S; S2 ^! U& V+ |
f7 p" `" b" |% v
" g3 H$ Q( }3 [, _) S2 m' A* z2 Rto-report grain-ahead - p- i. m. O! i* `9 ?% o
let total 0
n' U6 s0 W! _" h) w let how-far 1, L6 M+ w1 f$ P, [8 N
repeat vision
3 M0 J8 w( A1 M0 \ \ [ set total total + [grain-here] of patch-ahead how-far
5 b0 P2 d9 @5 e3 H9 G1 M+ Z. p2 m set how-far how-far + 1 ]. t& z3 Q9 ? P/ x% x3 J
report total
0 y2 P8 C( p7 n- C1 s, Hend2 Z2 F: o/ l; v$ O6 K w& {
5 v6 X2 E$ i) y# h6 R
to grow-grain ) B+ H; S. L/ r
if (grain-here < max-grain-here)$ h, t7 a8 W; N2 J
[ set grain-here grain-here + num-grain-grown$ j8 {6 ] W% y/ T
if (grain-here > max-grain-here)
* i3 }% c6 ]/ I/ `0 a% l [ set grain-here max-grain-here ]
' v: J6 D, u! F recolor-patch ]. E E$ O# L8 U) p; a
end0 W4 R0 L2 I; b
to harvest
( K r- }6 g+ s- W ask turtles
! J3 c' c% i+ c [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]7 ?& B3 {# Q1 j0 ?1 a; I. t
ask turtles1 x/ b% h) w3 e6 V
[ set grain-here 0
( A: s- x! c4 r recolor-patch ]& Q+ C2 T6 T4 O0 e0 i' I8 \
3 f2 U/ \, f# vend1 v- h1 S% q0 L; y3 r! }. l/ | x/ K
( p6 X8 ^ F! P0 [) x, A( A- K: U
to move-eat-age-die
, t4 T6 x6 [" t! p# \- k: K fd 1, g! H i5 V+ H; n
set wealth (wealth - metabolism)& v) E) M# D1 A* x' R. n( b% u7 X
set age (age + 1); K+ l$ X9 m/ p& @$ x- o5 }* |
if (age >= life-expectancy)( u. r. k' p8 z* z
[ set-initial-turtle-vars-age ]
& i$ a ^; ~- P if (wealth < 0)! i7 u3 k0 s& ]% r
[ set-initial-turtle-vars-wealth ]
! c, X" H6 ]8 V% n5 P4 f $ J) O4 A! V, U4 h0 ]" {* i
end# C0 y0 \4 C& J+ @1 ]/ |
& W& L* ?! Y1 d* B% B8 ]" d/ i _2 f* h, J1 e
to setup-plots
0 e% q6 x' e0 C; ]; U! r set-current-plot "Class Plot"
3 m" V- v% |5 z0 _ set-plot-y-range 0 num-people
. [& P# B& ]+ F0 u8 [% |( \. _ set-current-plot "Class Histogram"9 _; ~% ]) Y; Z$ y
set-plot-y-range 0 num-people* d0 q1 ?8 C) a% d2 e
end
5 Z. H- `( t: i; ?5 V$ F! X" S' h {8 A; g
to update-plots
7 q# x; ]. S9 l) E. K0 n& q2 i6 ~ update-class-plot9 K# S" D/ }3 `4 I
update-class-histogram
2 S6 X8 t/ ~) l* u' P o4 r j update-lorenz-and-gini-plots5 }2 R' y* s! b6 m! `1 }6 E
end
5 `: m$ \8 n- a1 v, v, I3 F" O0 }% v7 n$ N
to update-class-plot3 I% U' @5 y4 ?: |! d
set-current-plot "Class Plot"
o/ @- ^$ n4 Z8 ` s5 E set-current-plot-pen "low"6 |. C( P. [) i2 T; \
plot count turtles with [color = red]
* Q( y: O) u) k1 ?2 y# O set-current-plot-pen "mid"
, G3 Y5 o" F. Y4 h% W h: K+ z plot count turtles with [color = yellow]
& x9 H! u: I; m: ^4 p: l set-current-plot-pen "up"1 ?% c) j3 _) n6 C8 u4 C/ f0 I
plot count turtles with [color = green]
/ _4 O9 g. |* ]9 u( @* W# gend
4 F0 c9 q0 a2 t0 \# U
. d7 g$ Q6 J2 n% [: s" l" Nto update-class-histogram) f6 h% S, S n/ k5 @
set-current-plot "Class Histogram"
! R. ~, k; E2 z- s, r plot-pen-reset; m7 ~/ a0 _. l" [0 x* L! y' G
set-plot-pen-color red
/ ^0 m5 R5 I7 i4 Q2 J1 b3 r plot count turtles with [color = red]
c9 o; q' |1 s( F% u, [3 W* |) \ set-plot-pen-color yellow: ~ A& B3 q" O p
plot count turtles with [color = yellow]
4 o1 c/ H9 v G1 z set-plot-pen-color green( i; K9 K+ M" [+ [' ^4 E- |
plot count turtles with [color = green]
; N! q* v* G7 O ]1 d+ a+ ^. jend
5 ~; M" n- [/ R7 R: \to update-lorenz-and-gini-plots
! X+ c, B; i, Q! F4 l0 B5 V5 s set-current-plot "Lorenz Curve", I* e! P f# F! @- L6 H
clear-plot- g! i8 y7 C2 y$ c8 A3 G
- C& ?& r- Z, m1 ]
set-current-plot-pen "equal"
5 y8 \4 R3 [6 m, J1 | plot 0
2 O3 `- d: f8 J% r plot 100
: H$ M4 B# ?: c) E% p8 I2 K3 q3 u% u4 i! b
set-current-plot-pen "lorenz"
: X2 _; D! G! w% P! ?9 d/ f0 ` a( h set-plot-pen-interval 100 / num-people( D4 M' F: w k( P5 C
plot 09 Z- c7 {4 K, y A0 i
2 B$ Q1 M4 G+ n A" R5 i* Z
let sorted-wealths sort [wealth] of turtles" q- `" u' Z. J' J) h$ J3 E
let total-wealth sum sorted-wealths
( c2 J3 h9 T; t2 @( u let wealth-sum-so-far 0! @1 c6 M t5 j. \
let index 0
$ M- o' J/ @ W0 I |! z6 }7 s let gini-index-reserve 0. ^3 b) H( ^ u
% D* a9 w) w2 h3 i
repeat num-people [- I6 O% {$ _5 \9 w7 {# _. ~* ^+ S
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
, u7 ^* C5 {- ?; j% B: L+ X plot (wealth-sum-so-far / total-wealth) * 1008 i N, a$ ?8 }: u
set index (index + 1)% d/ p, q: j) p/ b( m8 }4 X
set gini-index-reserve
, f3 k/ }$ R3 k& q6 X gini-index-reserve +
: w1 ~/ i8 y- P' a# s7 X$ e9 K (index / num-people) -
7 }8 a6 I6 \4 C) O( R: E: h) [ x6 Q (wealth-sum-so-far / total-wealth)1 ]6 h3 Z/ @ C" [2 O/ w
]
; q8 w3 G. s% D( g% d) l9 a i* O# [" ~- B/ T8 F# w
set-current-plot "Gini-Index v. Time"+ N4 Z. W6 H. t! Z8 e& `- Q# q
plot (gini-index-reserve / num-people) / area-of-equality-triangle: s5 E0 I' u6 Y4 v
end
) s; d- V- E& X, O( G- fto-report area-of-equality-triangle
, R$ X% F+ \5 X, y# o; a) M report (num-people * (num-people - 1) / 2) / (num-people ^ 2)( ]0 `' p+ `* c. r* O8 W/ y/ [
end |