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
! y6 z5 c, w% _% ~6 Fglobals
+ W# s. Q; j, z[
( ]% T" l) d0 ] max-grain
4 t1 w8 d( L) C) q3 Q$ g) x" _0 B3 L( T7 m9 q& H" K, y
]' H& r& K8 Q% z* o. l, L8 X
" t* Q9 b& N9 F2 `# k0 I
patches-own
* m5 g3 Y& ~5 k- g[& T' p* Q$ i; l
grain-here ! G7 [4 B$ L8 Q( x
max-grain-here ) F: A2 F8 s) [; a, r1 {4 {
]
, f+ Y/ X4 |, A& j+ \' ?' i) Z
/ N6 O# B$ \+ C8 \ d9 |# Z/ Gturtles-own/ w0 T. \2 M$ [! x( V0 S
[( Q) F9 ]. R y ^1 k
age
& Z: o/ _, x& _3 m# y x wealth ( n$ B5 j9 H9 `
life-expectancy 5 U! ~ d6 ?0 C, k! P8 @6 Y
metabolism * I( I* F3 j. V7 Y3 M B2 C. H
vision
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]
G* ~9 ]) Y- `& Z6 w1 E5 S. A6 J9 O9 ]) G+ {" d" ^
- m& {4 q/ n, {6 t' r2 n+ c# C
to setup
! B( r$ ?' q+ E( I) Y; o0 h' y4 k ca. ?9 U6 N/ M# V7 S9 J
set max-grain 50
* C# x! a% b0 x& {2 G6 Z setup-patches) i4 u$ E; t) M& ]9 b
setup-turtles
6 L/ |/ B' a* f" f& @+ Q setup-plots
$ a7 P/ ~: o( K1 h. I, R' x update-plots
: Z. d$ W3 e9 \. I7 w; F# xend
5 p) Y! ?- F% a0 _# Bto setup-patches
% B* H0 e. v. J3 c1 l ask patches
/ f+ F) Y; L D7 d [ set max-grain-here 00 }1 V1 Y# e8 W! `2 [
if (random-float 100.0) <= percent-best-land5 ?$ i9 g W( B" `2 p9 W
[ set max-grain-here max-grain. n7 }) b! I9 z; Z9 }
set grain-here max-grain-here ] ]9 F/ c+ V9 E. ~% U, y9 F% b0 n+ `
repeat 5: y( E+ @* N1 N+ \8 w# o
[ ask patches with [max-grain-here != 0]
3 P- ^' k/ f* b. ?6 k1 z [ set grain-here max-grain-here ]1 f) T8 Q$ L4 D( D# O5 _/ T e( g- @
diffuse grain-here 0.5 ]
1 s6 X' u9 ?3 ?6 s repeat 10
$ G% N5 p8 O# `0 v/ x4 A [ diffuse grain-here 0.5]
: z9 M4 x0 \ A: {1 d2 a: Z ask patches" l! `6 `0 t u# k1 B/ d+ N$ I
[ set grain-here floor grain-here % k. O1 k$ X$ @
set max-grain-here grain-here ( v# o& R( }0 {% i
recolor-patch ]
0 ^+ r' J( t( u) Jend
( [, A4 L0 {9 z, s( u% Qto recolor-patch * u: O: G6 M+ O* t
set pcolor scale-color sky grain-here 0 max-grain
- Q- _' H# {) o0 L9 Eend4 Z8 u: A, g( n+ A
to setup-turtles
. I0 h, w' O4 C7 A5 j set-default-shape turtles "person"6 Y& A2 {% D9 Q( B: l. S7 J
crt num-people
) p( r3 `0 J7 Y. L$ j3 Y2 k4 n [ move-to one-of patches
; s6 s0 S4 j& ?2 i% D( K9 z set size 1.5 . {2 g4 x% k5 D3 h5 ]
set-initial-turtle-vars-age
; J1 ]: k- `* k3 o set-initial-turtle-vars-wealth
' g6 E! |8 y6 S) X set age random life-expectancy ]
9 R2 Z3 A6 q* }. W& u) @ recolor-turtles( b! i( D# Y) k! K+ P7 ?
end$ I- h, F3 y' Z* M( K
' J Y" N7 }' u2 b8 q- ^6 [
to set-initial-turtle-vars-age
+ a* E2 d- t/ |* |5 L let max-wealth max [wealth] of turtles& r0 w: l" G- d+ @7 w
0 m) y4 p' k7 R
ifelse (wealth <= max-wealth / 3)1 P$ Q4 t( Q" p0 k
[ set color red
! @- p: H( V t9 r; L7 W" T set age 0
& V ~3 n* `: x3 d1 y! \ face one-of neighbors4
* a$ \$ C3 W3 D7 M/ Q set life-expectancy life-expectancy-min +
6 L p$ Q4 |/ F4 c1 U* [, h random life-expectancy-max
3 d, M+ ]- d4 _( }# f4 A% n set metabolism random 1 + metabolism-low% o7 O; F: P; n% j! L+ k% [5 T
set wealth metabolism + random 30
; L2 W( m8 ^! ]% T* s. P0 s( L set vision 1 + random max-vision
" i- a4 |- N, N7 Z# ] set wealth wealth + Wealth-inherited-low ]
1 [5 c4 b, J+ ~0 m# j+ h1 N& O8 h( K [ ifelse (wealth <= (max-wealth * 2 / 3))/ ~# ^9 ~) R3 {# h
[ set color yellow . P8 {) B1 V; u1 D# ^* S
set age 0
0 N& I" B% J! J$ ^: k+ j, ]4 | face one-of neighbors4 : R/ F4 P! |+ J
set life-expectancy life-expectancy-min +
+ {( c* g% Q* a1 I random life-expectancy-max + 1
6 W& z: v: {' G, T3 k0 p/ c set metabolism 1 + random metabolism-mid
3 a- d( e8 F% K set wealth metabolism + random 302 q x7 a+ k5 c- t Q4 P
set vision 3 + random max-vision
2 p( n6 w$ S: i+ {5 [% i# L! ]$ J set wealth wealth + Wealth-inherited-mid]
/ W6 ~5 S0 ^; e+ K, E- y$ @, g [ set color green 0 c1 _% K0 g9 m
set age 0
- R& S$ |3 F4 z. p, S: K4 j face one-of neighbors4
% A7 x8 B3 E7 e9 _ set life-expectancy life-expectancy-min +
$ N) Y3 M* l1 @ T random life-expectancy-max + 2# e: m9 V- S) A' i) N( d- c# Y3 P1 n7 @
set metabolism 2 + random metabolism-up
- {/ _( ?! Q/ @" F set wealth metabolism + random 30
- Q! C( j2 g) N) I set vision 3 + random max-vision
! J3 |7 K# M' M' V/ i( O9 D, P& G set wealth wealth + Wealth-inherited-up ] ] 3 K" g5 \- b8 G0 x3 A
* q/ G. K$ l/ k8 }end
' i; v: V: ~6 m1 D: D0 F. \to set-initial-turtle-vars-wealth; Y1 s/ S+ l& c/ N, q
let max-wealth max [wealth] of turtles8 H0 |+ G3 f+ c. t5 o- H
set age 0
& o! d6 T/ {# A4 v ?5 m* H face one-of neighbors4
3 ~' o/ H- p w set life-expectancy life-expectancy-min +
) g. z- t+ B" B4 ]- ] random life-expectancy-max
& q8 V: L/ ]5 l- C& d# R$ z Q set metabolism 1 + random metabolism-up3 S% A3 I9 P9 Z4 X& i
set wealth metabolism + random 30
# g" [" U9 a1 {% d% ]# P; R set vision 1 + random max-vision
9 ]& _- o7 y- H! f5 A1 d* _end
+ ~- g- ~- @8 i# ^2 U$ eto redistribution
! g# O2 V% K- Flet max-wealth max [wealth] of turtles- w/ g' E5 O( H
let min-wealth min [wealth] of turtles
* y' N2 ]$ A5 w* I& Nif (wealth <= max-wealth / 3)! ^9 ]/ @ V# l
[set wealth wealth + Low-income-protection ]9 \6 o% p6 L( d% e% u. x, f$ y% n2 ^) }
end. L+ X8 L; K: o7 Q/ r A
/ e* n7 e5 }0 B8 ^* l+ a1 y8 fto recolor-turtles
0 A' n# q) m$ w" [ let max-wealth max [wealth] of turtles4 W0 W2 g# D2 _# }" X: W
ask turtles2 U* Z: I1 T* }; ?( o9 _1 h! v
[ ifelse (wealth <= max-wealth / 3)1 C% Y* k8 r, K0 C2 p) K5 s7 s) S' h
[ set color red ]
0 Y1 a0 y$ v/ Q3 I* U [ ifelse (wealth <= (max-wealth * 2 / 3))
( n7 F/ c# X' W [ set color yellow ]
8 K8 I( K) M L+ v! X [ set color green ] ] ]
1 @9 U$ l0 S7 Q ask turtles [ifelse show-wealth?9 A: y: X6 {- U/ R' H$ C6 U
[ set label wealth ]3 P; d3 ]- ], ?8 o+ P8 Q
[ set label "" ]]$ W6 {3 W/ d+ v- x4 y' E
end( m9 C" z6 U8 F- @3 X
7 M `1 M3 k6 Wto go8 z) a* J- z) G/ M( G
ask turtles
( v6 o( K: c$ i [ turn-towards-grain ]
8 s( y9 o% ]0 N5 W9 Q harvest% h- K4 @9 s! o. @* }# J `) I' u
ask turtles6 t6 T0 C7 ^# Z
[ move-eat-age-die ]
4 y+ v8 h2 K5 Z' f+ F; Z7 l* V recolor-turtles! i: |" o; l. |% d7 k! ]
if ticks mod grain-growth-interval = 0# i0 y3 d$ Q( V$ E, I# @9 k" Q
[ ask patches [ grow-grain ] ]& ?( B/ K$ |3 S9 E' [# }1 d
5 f6 V7 ~1 [& [5 ?+ D! P
if ticks mod 11 = 0- Z5 T4 r4 H/ g7 R+ o! f7 r
[ask turtles$ b S( ~( H' |0 N) [6 s
[ redistribution ]]
. t& ?0 |* j" U" q. {3 C& R if ticks mod 5 = 0( X4 R8 {) W9 B' R$ O7 `& _% }
[ask turtles
0 [# h7 q/ l/ p$ b+ W [ visions ]]4 T/ j) g! s3 L! n
tick
- @* c9 i1 p. X0 w2 V4 b) | update-plots* s5 D& w/ H! W' N: @
end+ `% ^5 d o B! M1 \* S
to visions
" J" t" e) A+ Y% ], `8 [. h: i! Z set vision vision + 1 - {( k/ _8 U) N! f
end+ C' \. X) i+ |: Q7 _
/ _& G& C: V x# l6 `! ^7 ]
& w) ^! r3 e" A4 L
. ]4 m; ^8 e1 K [3 J j
to turn-towards-grain 4 e* B) A M$ ~
set heading 0
$ w! c% z8 k2 z1 `8 a( v1 m% I' i let best-direction 05 W) Q0 V* X9 T. p; j3 x; p
let best-amount grain-ahead- Z! W) H! |! A3 b- u4 _ @7 }
set heading 90' L w6 R( _7 Y' ?9 D6 l, ~, |( G
if (grain-ahead > best-amount)
, D; P/ Y$ S# e+ U6 [7 K$ d9 C [ set best-direction 90
/ B5 S1 F; n: F9 M! u set best-amount grain-ahead ]( D1 V7 g) y5 I7 F4 R0 m
set heading 180
) ?$ l6 V% S V: h- p if (grain-ahead > best-amount)7 B; D! d# F9 p) A2 c( Q: i
[ set best-direction 180
8 Y5 T: Y2 P. ]$ u+ b set best-amount grain-ahead ]
. h- G1 X3 ~0 `2 |) d& o; _4 r set heading 270" v% ]; f' K6 s- M7 W c
if (grain-ahead > best-amount)1 ]0 n, @% u- i* D+ Y9 ^
[ set best-direction 270
$ f& m: u- w4 x set best-amount grain-ahead ]( l& \6 P y3 a8 @4 O i
set heading best-direction m2 ~# F3 I- K- a" e, V
end! [8 H! U: d* o- X, Z X
" h, V% v2 F5 S2 w0 O! l4 J3 F* x% \3 E7 r `% j1 u$ R [7 [
to-report grain-ahead 3 R5 B" [$ @, F2 }/ R3 B' |
let total 0 s! S0 p# k: l* K9 p
let how-far 1
A; P1 }. M" I T$ [ repeat vision7 k T" F$ w+ ]; A5 t: }0 {+ m
[ set total total + [grain-here] of patch-ahead how-far
( P% D( K9 n1 P* N9 W( D set how-far how-far + 1 ]
1 t; a; y- _( g, x4 w( R report total) F0 K2 Y8 d' K: ~7 D7 O4 i
end3 E8 a$ c$ m" i' _. ^6 V
& I, Y. d$ o- `2 w; a1 g* dto grow-grain
8 Z- R/ M7 V/ G3 z if (grain-here < max-grain-here)3 v1 }! @7 r2 X, _3 ^
[ set grain-here grain-here + num-grain-grown3 ]4 D! W; D2 K& Q/ z4 g. V2 u
if (grain-here > max-grain-here)
3 p* X4 W# l5 t1 S: ]0 c0 {+ i [ set grain-here max-grain-here ]# _6 u8 G% f) R& |4 t/ F: t J! v; i
recolor-patch ]
7 g7 I1 h- z. F4 a( [2 X3 nend
) Z% X3 o1 |, ? c/ K# U, C9 j% K7 xto harvest# s& F; \0 n% \2 Q) S( I
ask turtles& x8 W8 Y2 m( r( x- C$ @
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]# N9 z1 J+ [; c7 T: K3 J
ask turtles
5 Y) E3 P9 P% k7 {4 |# w7 H8 a [ set grain-here 0
1 u$ X! G; O" @0 T recolor-patch ]
, F ~" N3 Q0 ^- d
2 Z; Y; f8 k0 x& F: ^end
( p! e. ]0 I' ]# k V( G$ @) x" n1 J" V! o* t2 Y7 ?6 e# W" \! B
to move-eat-age-die + _6 P) V" B$ i) v
fd 1
( M6 Y9 ^ Q! }) D. b" Q1 C set wealth (wealth - metabolism)/ a$ W6 i! Y( n* {+ D) l1 ?2 p# s$ h
set age (age + 1)
* S8 f3 g% T7 j% d1 b7 p if (age >= life-expectancy) _2 `# v0 G; j; h! E1 O9 }
[ set-initial-turtle-vars-age ]3 a5 ]% L7 R' L8 y1 n
if (wealth < 0)2 i' Y' R6 r: X5 X: i T" i! N+ R+ Y
[ set-initial-turtle-vars-wealth ]) j3 F% f* a! Y( y
9 }- L8 G- [8 C; f5 f
end* R1 U- Z* d0 D }' f
: X4 h$ z' b% T7 t
/ W+ W3 M9 ?+ `$ F. p& Bto setup-plots! B* z- O0 T$ i
set-current-plot "Class Plot"! m- |2 ~ Y- }; F! h9 S
set-plot-y-range 0 num-people5 A j. U3 B5 C* Q8 I' n
set-current-plot "Class Histogram"( Q( N |7 @4 a
set-plot-y-range 0 num-people5 b3 c9 q ^+ G+ q" P
end! H+ o! X& ?( y# t
6 e5 E0 J0 ?$ f# z2 i1 E
to update-plots
* f1 A0 Z8 F& p$ I update-class-plot/ Z/ A7 x* ]/ i+ A$ W
update-class-histogram. y. ^# K4 u$ {
update-lorenz-and-gini-plots' S* }+ n; h7 h! i* r
end. H6 X% N- r3 R o4 i; E+ T% S, ~$ V0 `
4 X" Z9 j. b' _" D6 y! i+ [to update-class-plot
) I' K5 Y+ E8 r set-current-plot "Class Plot"
) T; U/ F1 h* f+ f7 ~: \ set-current-plot-pen "low"1 T" n& x! x# o8 M! L% e! x! A3 d4 Y
plot count turtles with [color = red]
3 Z i( O, }- N1 W& N* t& S/ ^, z set-current-plot-pen "mid"6 D# f* m* X9 r. g& Q4 F. o0 U( P5 d5 @ @
plot count turtles with [color = yellow]
. N3 N5 ^- h* T) ^+ ]" } set-current-plot-pen "up"
5 g/ U/ t U, z" m) R plot count turtles with [color = green]
: l. ]7 S' V7 J0 k( _/ wend6 V) j* t x9 w5 d/ j$ r
# L: l2 b* c. f. R. t0 Hto update-class-histogram
6 C; m, X2 `. N3 U set-current-plot "Class Histogram"6 X; C" a2 l: r
plot-pen-reset$ m) w8 Q5 x- d- B) \' C
set-plot-pen-color red
8 d8 I6 ^2 h9 s/ C- a plot count turtles with [color = red]
% \ T8 z; }- Q3 G I set-plot-pen-color yellow
% L9 X; d, L: g; p& B1 K' Q& h" X plot count turtles with [color = yellow]& o9 j+ ]9 j! G$ h" a4 X7 F
set-plot-pen-color green, ]2 ]) i: a2 w) n
plot count turtles with [color = green]
9 S5 T$ L' j7 f, ~% Uend
: Q7 \) ^6 U/ l! ?& Oto update-lorenz-and-gini-plots# {3 j$ D, f; O$ E% o
set-current-plot "Lorenz Curve"
Q2 n& e. u& P+ l* c& Y- d clear-plot8 |; o( ]& S9 w) X& x9 k
( r( N' p' V% b" Z% M7 y set-current-plot-pen "equal"% O' E5 K1 Y9 w. T+ s
plot 0
3 Q) S1 L2 k& K plot 100
8 }; l% q& `" f) H' \2 r
3 {6 S4 b% f8 z8 ^! k( @ set-current-plot-pen "lorenz"
" b# r" r9 L! z6 g0 N set-plot-pen-interval 100 / num-people! k% D3 M' E5 O( t; \# u
plot 0% d+ L: d& K+ V7 a' V! T+ P
" d5 X1 v& b! X let sorted-wealths sort [wealth] of turtles
J( u: m5 p Z" p' p( I8 A let total-wealth sum sorted-wealths
, b( e" s* D1 o. x. t let wealth-sum-so-far 06 }/ f& p( d6 U! d9 |/ `
let index 0& H' E, F. x% y1 J# H) v5 }
let gini-index-reserve 0- C$ x6 L( j# Y: j& a3 u9 X
|: c' r1 [6 f: A, r- \7 f8 k3 K
repeat num-people [
5 Z% M- L3 g* u: I; J1 U set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
' F1 w9 C5 Z ] plot (wealth-sum-so-far / total-wealth) * 100. X5 x+ g! u* H' [0 W0 f! Y3 ]2 y! e
set index (index + 1)
% [ Y$ j' |7 R* {" r6 h, H- g set gini-index-reserve. p( p$ R3 b# Z! M7 I
gini-index-reserve +( m! I2 X0 h# c7 x
(index / num-people) - h' f/ _* y0 E1 M/ u) P
(wealth-sum-so-far / total-wealth)6 K+ _* D* T' ^ Y
]' i/ O( Z: b8 M( j2 o
d# n& ~" X* T) a: C) y' ]# s set-current-plot "Gini-Index v. Time"
, f4 ~- y1 C7 y3 r. P# {3 Q# b plot (gini-index-reserve / num-people) / area-of-equality-triangle
; V) @& r9 I; O/ Qend$ B: W0 E K- A0 Y+ V. x" y
to-report area-of-equality-triangle) u @: V& H O% W- o2 h
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)4 z, ^: o/ P) G0 w9 r4 @
end |