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
. s# K6 q1 A) Q! j9 I( h$ q Sglobals/ D% s( K: l9 ?/ w' X- x
[
9 v. p. X$ Y- E. J- a+ k7 b, X# k max-grain
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" }+ v# n- B1 d$ Y* N]
3 Z/ m# b. V' Q, C* K5 _0 C6 r
patches-own
9 r( a8 q: P3 X* _. p8 Y' R# `[
w) b) x4 c. M4 q, b grain-here
$ k3 s" b0 ^3 F; w* u, ~- l# h max-grain-here " e& [) x, X# M5 M o1 B1 f
]
: y: H7 t" y1 C
) C/ a: W5 a( K, Iturtles-own( `" `. N% ?2 e: u+ y% V9 x/ i
[
+ ?3 w' o4 ]8 q* Q: X. I/ f age
1 ~) u. n' p V wealth , {1 C$ G, t1 x6 w
life-expectancy
1 z9 J8 y& |3 N# {+ R metabolism
' Y4 `3 X! ^5 F vision) J6 y! F- W! Y. Y( @0 [/ M
inherited $ _8 X( m, k. i5 {; X1 n4 ~! R L6 w
]3 `. n. X J/ t4 O0 B+ J
$ l x! u4 N4 {: j6 S
* c1 K( }' a/ Y2 d/ i4 Eto setup
9 P9 X! k3 g. x$ g% G" H3 ?9 k+ V ca0 J \- T) F: U) q
set max-grain 50
+ A5 K. c7 J! x setup-patches) y& F' I. L* c; w/ [# h
setup-turtles/ w1 p% i1 x$ w! T; u
setup-plots( k& F1 V! X8 F( Q
update-plots
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" M0 n) s: H( ^, @8 ?& \to setup-patches8 z. Y+ r0 D+ P' b$ H0 w: C
ask patches
! z- b# k Q) v; s& L* _ [ set max-grain-here 0! `! X+ y: \# E. C9 |# g! P/ H
if (random-float 100.0) <= percent-best-land
p: o5 _6 E2 ], b [ set max-grain-here max-grain. I) X8 @1 B9 _+ C& y& J7 J
set grain-here max-grain-here ] ]. x% M" H+ j0 O5 L0 |# Z7 c% k. F
repeat 5
' X4 X( o, w# l. B% G! b [ ask patches with [max-grain-here != 0]
" T" e3 Y* }- m* g8 V [ set grain-here max-grain-here ]! ]) o( @; e& p* b
diffuse grain-here 0.5 ]
0 P5 K. I; r: A! Z; Q* n @ repeat 10
6 o/ X5 e+ Z1 s. L% } [ diffuse grain-here 0.5] ' R, A4 s! ]5 h# X0 }0 x; Y
ask patches- W* n2 {' e: w( V; c, a
[ set grain-here floor grain-here
, J4 |; z( u8 g set max-grain-here grain-here : K5 t* w) ^7 u4 y- X# ?- Q R
recolor-patch ]1 F! L( m- b' a% A! V9 }, C; R
end3 w! L. k* U, o/ X" N: y6 r$ N
to recolor-patch
# `. o' D! A; K. o set pcolor scale-color sky grain-here 0 max-grain
" K9 s( M. o! ?end
" Y) ]0 b+ U- p% @. xto setup-turtles
2 z" I8 k1 Y; a! d! y set-default-shape turtles "person"
* @* s" b3 A1 H; \8 c3 v, [* f5 c5 S crt num-people
& R& s8 {' c) E7 F [ move-to one-of patches
6 r! t# ]0 j8 C$ A, L9 s set size 1.5 b- v4 c, q# l
set-initial-turtle-vars-age- h' s* H: J. V+ b$ V
set-initial-turtle-vars-wealth5 M! O8 P7 ]+ v N# ~3 h* t
set age random life-expectancy ]2 x( M. o3 q+ M X+ m. ]+ o2 u
recolor-turtles! @" M! p* a# X+ R
end# h4 V3 l3 s$ u/ c# A4 }
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to set-initial-turtle-vars-age
/ D8 A z5 t* D8 n! g& Z% B4 {) w let max-wealth max [wealth] of turtles
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7 ~' Z$ l. ~! A0 a ifelse (wealth <= max-wealth / 3) \8 K8 t# @7 D B7 Q
[ set color red
/ V* T w2 S: x. h$ u, B* [/ F set age 0) Y7 E. e6 G7 b2 O
face one-of neighbors4
" _% \; k/ c4 J& Q P set life-expectancy life-expectancy-min +5 x u" |7 u7 P" R+ \5 A
random life-expectancy-max
# H, L) ^7 G( \2 i set metabolism random 1 + metabolism-low
$ } P7 M# `1 E/ t& J3 b3 C set wealth metabolism + random 30- d: `: n/ R# {( a i: `! f: Y
set vision 1 + random max-vision% W4 w: |5 f$ Q- U
set wealth wealth + Wealth-inherited-low ]
( {4 J! o0 W; \/ } [ ifelse (wealth <= (max-wealth * 2 / 3))* J' V) @, Q7 {
[ set color yellow ! }, B2 Y& O- H' x
set age 0& p! _$ ?$ F5 A, _2 G) Y- a
face one-of neighbors4 7 w/ z# `/ m- d
set life-expectancy life-expectancy-min +
* F: K) A6 }, B1 r random life-expectancy-max + 1 C& r% W! s4 \# u# t' H
set metabolism 1 + random metabolism-mid
/ l g6 G/ k1 Q! V/ n2 j" o set wealth metabolism + random 30 q7 K; D4 B6 \, O7 z' B0 ?# T7 N
set vision 3 + random max-vision' E6 Z( I+ P" Y W! H
set wealth wealth + Wealth-inherited-mid] v+ `9 C! T9 f
[ set color green
1 U, |7 E( s1 r/ m set age 0
: N- f3 d$ }! x* s9 e2 @1 t face one-of neighbors4
3 s0 g8 d& T7 m9 i. X set life-expectancy life-expectancy-min +
3 C; t7 H" a4 \( I: A random life-expectancy-max + 2
$ W1 F) J8 K* B% @1 g9 p set metabolism 2 + random metabolism-up
% Z+ O6 U0 _/ b: j4 d" F& G set wealth metabolism + random 30
5 k! C* U1 u' }) v set vision 3 + random max-vision" g5 S" b9 ^$ d# L+ p; Q8 [
set wealth wealth + Wealth-inherited-up ] ] 4 ~' N5 a6 i9 V6 | y) D; `
7 U4 ?% f# ]: x, E8 D
end6 a. o2 C8 v; t( @) O& `
to set-initial-turtle-vars-wealth$ Z% \- N$ k# ]$ i# b% V8 U
let max-wealth max [wealth] of turtles
+ [+ h* Y4 Y4 ?/ U set age 0% {4 H6 x, @4 N9 Q* O+ H) Q
face one-of neighbors4 ' Y$ ^3 Z9 I% l8 e, w* k
set life-expectancy life-expectancy-min +
) R3 n' G1 ]- D f! s+ y$ m; Q6 W# O random life-expectancy-max
4 E4 L9 S4 X6 J9 a set metabolism 1 + random metabolism-up/ J7 b# G. C. u C* Y
set wealth metabolism + random 30
: o1 e# r4 w) r& } set vision 1 + random max-vision ; H; _; ^& H# T Y# e. c/ j
end
( g9 c# `0 ?+ o9 u0 O. X2 [to redistribution; X0 D; n6 e% c9 ~
let max-wealth max [wealth] of turtles F* s7 V& L4 v) T
let min-wealth min [wealth] of turtles
6 w! ^9 M5 c3 ^/ ]. K: d& yif (wealth <= max-wealth / 3)
2 H0 f; [2 f5 p, s, O4 }' b X [set wealth wealth + Low-income-protection ]8 B4 m, P2 S, ^0 h; h, T
end
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$ S/ k7 O. e: f# gto recolor-turtles
8 w) i% z2 ^, L2 |* L% V4 `2 | let max-wealth max [wealth] of turtles
" f) m! m( t \. B2 Q8 B, F ask turtles$ z* A0 C E! E- j% [% @1 C
[ ifelse (wealth <= max-wealth / 3)
) u0 W; \3 T i* P$ [8 F7 @0 A7 x' |/ f [ set color red ]6 d- i5 G7 q3 K; J
[ ifelse (wealth <= (max-wealth * 2 / 3))+ s" x+ w$ N/ `, g# }& U+ x* b$ N2 l$ b
[ set color yellow ]) w& L% R$ b- N7 ?/ h( w% z
[ set color green ] ] ]
8 G Z$ o8 g: j! x( I ask turtles [ifelse show-wealth?- m. b1 U2 [ G8 c
[ set label wealth ]
7 H6 e$ W# A3 u0 o) V- d6 R" O& b [ set label "" ]]
! |% H9 Y |/ S3 iend4 k; @1 l: B$ D- `3 _
5 ]4 d% j; {* s# T! ^: u) Dto go
: I0 a1 m" M. E& |. V ?! L ask turtles, x! Z7 y/ X r+ n2 s( ]
[ turn-towards-grain ] 0 F8 y% V& j: E' T4 K G
harvest
/ L" P" y, f: }) J! _4 e$ E ask turtles
8 `* N+ `/ b7 L9 m% r [ move-eat-age-die ]
# L7 Q& {: B) P, ]: x5 E recolor-turtles T7 I( D* v, q4 C, X* {
if ticks mod grain-growth-interval = 02 S3 A$ f1 s0 z( e' Z b
[ ask patches [ grow-grain ] ]6 N6 z9 s: M4 Y
: v& O% U$ d3 c Y( |5 t1 [. T if ticks mod 11 = 0
1 ^/ W7 U' F, x: B1 t Z+ H [ask turtles- ^/ |2 s9 B h2 S
[ redistribution ]], E' f0 g k+ n
if ticks mod 5 = 0$ {! {+ J/ S# F( \7 H! a- F f" C) c
[ask turtles6 m5 {# _4 {8 F1 p! o
[ visions ]]4 l5 k2 E( x1 Q; t
tick
: C5 k" b+ ]: v; u$ K2 R update-plots2 i6 ]+ w5 Y) E) U3 L1 D% h
end' k9 n1 q8 Y* C
to visions
1 J( m3 ~9 J f3 u set vision vision + 1
1 y1 \/ I% i! ]4 oend
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, g w! g$ D4 ~; J- s( f; `; m9 I
3 O" s. {, U, x" N
, a3 r$ x& |7 D9 w9 L. ^9 {to turn-towards-grain ; M; e& e) h% T, t/ a" ?
set heading 0+ v, y, \5 R9 a+ H3 E
let best-direction 0
. F' ]! Y t5 G3 w let best-amount grain-ahead
1 L% T- P& m. }# ]+ w0 y: b& T3 a: z: [ set heading 90
* V, _" p% s6 t @- {" n if (grain-ahead > best-amount)3 o" h5 d0 Z, v9 t; u
[ set best-direction 909 C' d0 _8 n# [0 P' m3 L
set best-amount grain-ahead ]5 z1 H2 o: N7 }( f( K% G
set heading 180" ~5 ^; \2 V- v$ c$ _
if (grain-ahead > best-amount)
- ?0 d; L+ W1 h [ set best-direction 180* G+ l! \$ B/ D+ y1 s7 y
set best-amount grain-ahead ]: m6 s8 p5 q4 D; r' V! n
set heading 270. f- Y5 I3 b. [0 W! _
if (grain-ahead > best-amount)
- m( @8 q" r4 n4 t3 K0 R& [/ B [ set best-direction 270
$ [* V1 L& p/ C, L7 `3 E6 M set best-amount grain-ahead ]
# Y+ j, I$ }5 ~: I* y set heading best-direction2 C# p6 t' t+ e
end
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% P9 }7 S2 q! y0 L$ Fto-report grain-ahead
; g+ l& R) q7 n! V/ Y let total 0. c/ Q$ Y1 O5 o" j) p' d* q' }4 R" G
let how-far 1( I: N6 i/ l6 n' e
repeat vision j, t, r# k& x9 w8 D
[ set total total + [grain-here] of patch-ahead how-far
- {0 y1 v' @( q/ m, P set how-far how-far + 1 ]
' l& d) x! d5 D% n) Z( v3 v report total5 p4 M4 `; w% Z8 Z( R
end
4 T6 k% I5 ?1 Q5 ?) y6 o0 s1 J. P/ p! ~3 r4 M- L r: m/ }2 }5 l) J- o
to grow-grain
' I) m5 e0 }* Q% n" N1 l if (grain-here < max-grain-here). S; w- x6 V: P$ o: B
[ set grain-here grain-here + num-grain-grown r% U+ z( N" _! t; o: \( S
if (grain-here > max-grain-here)
2 g/ z( w7 r) O [ set grain-here max-grain-here ]7 \8 R6 z4 U: U7 b
recolor-patch ]) I# m% f3 w y+ ~2 n- y
end" h; ~, F( z, u- ^
to harvest
* g% g$ J0 d9 R" C' { ask turtles
# p L' h# m* z3 R [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]" w4 o9 X' z/ u# m1 ^2 s
ask turtles! I2 h% x0 g- S8 h9 T
[ set grain-here 0
) g* c+ m' ]4 A! y recolor-patch ]; @& v7 z7 T" F. V4 ?9 ^2 d: z: |
% h6 @' k8 ` D8 P3 \3 Yend
9 Q$ R; n; d( c; D
8 z3 o6 T+ B$ V1 G& r& ~to move-eat-age-die
: d. X3 ~* b; E6 o fd 1! Z3 [8 G7 P d- k2 J. H2 Y
set wealth (wealth - metabolism)
* |. I$ n7 z; E2 e$ r0 A set age (age + 1)( H* i/ Q- u" v/ z" E: Q% t$ O& s
if (age >= life-expectancy)3 u% C/ \7 S6 R; |
[ set-initial-turtle-vars-age ]
( S& d8 Y S$ u6 D if (wealth < 0)9 }+ S" h7 { C9 R3 @
[ set-initial-turtle-vars-wealth ]: [5 x+ G0 i) e3 k' O. T* V% P5 B( ]
X8 R( T6 Y. |$ [* Nend
5 |/ f, R' M1 B# `2 ^/ L
( O7 ~' W6 P$ [5 Q5 f! h/ s Y4 E& {; x
to setup-plots! z2 g" ~$ z& f& X+ o
set-current-plot "Class Plot"
" b' h! S! L5 N4 a set-plot-y-range 0 num-people
K5 d1 A# E3 E1 M9 r: R7 e2 y6 t% A$ n set-current-plot "Class Histogram"+ T+ p1 n* _# c0 l/ d* l
set-plot-y-range 0 num-people: H6 [ E7 w L/ ?' [
end. x$ H! z' E! g( B ]
+ y- L$ n* X) Y& T8 E) m a, s* ]
to update-plots
- {- e) B' k, ^0 M3 m: M3 O update-class-plot
4 J% Q }! x. T- f% i2 U& O1 _ [: a! h update-class-histogram4 e* h0 g2 \+ Z4 \ K! Q2 k
update-lorenz-and-gini-plots% f0 r) [; a' X Y. P, C# u
end% C2 `) t% x6 @! K' L p
$ h+ f& [: A- o( R2 V
to update-class-plot- D8 w# @" D9 N( x- Z
set-current-plot "Class Plot") |; i+ l( O9 W8 r/ s5 ^8 @' o/ I
set-current-plot-pen "low"
! b/ H6 n: Z' G ~0 c plot count turtles with [color = red]
. o9 K* Z1 X# T; j/ c% v% k set-current-plot-pen "mid"
; ^/ ~" k- n+ \" i plot count turtles with [color = yellow]
# v3 \, F6 j% w, H* a8 q% S set-current-plot-pen "up"/ z! l9 e0 S. f' ^5 j+ W
plot count turtles with [color = green]
# V w1 V* [3 hend4 N+ c5 x* }# |6 g8 j* p
" h; ^$ O, h+ M( }! j5 \
to update-class-histogram
" W% y1 Y5 \- n( b: C set-current-plot "Class Histogram"
* b+ B* E- ^5 \ M+ K0 x plot-pen-reset7 E! Z q6 P1 q$ a# h4 I
set-plot-pen-color red/ ?% w' D& Q& m% ]6 x2 y x A
plot count turtles with [color = red]1 A# s; S6 ~6 t, `. Y$ Z5 Y
set-plot-pen-color yellow
9 s3 O5 j: r2 v) [3 J3 }9 K plot count turtles with [color = yellow]
) W+ p' w' k( p( Y: g- G) N set-plot-pen-color green+ P' l- V- m5 c4 p, v
plot count turtles with [color = green]
1 U: ]& g+ m3 L) D2 G9 v" `( Fend/ T8 J$ I) [0 q* R' F, T, V/ I
to update-lorenz-and-gini-plots' u: m% h2 X( X- U- [! K
set-current-plot "Lorenz Curve"+ l& d) A# X' ?- i5 e1 X4 c
clear-plot" N/ ^: n N2 r$ ?/ p) `3 N( ^
/ S' Y4 ~) q( X" g' E9 ?! p3 L1 S+ [; e set-current-plot-pen "equal"5 Q' |0 `& T. w0 s; J2 ~/ }
plot 0
) B1 D: R. Q( l. n& S1 D plot 100
% \3 _5 b: k1 t" w4 f& ~9 i# F7 Z& }+ D' P% `; H1 }
set-current-plot-pen "lorenz"
0 |4 t6 G& P) o* t. _ set-plot-pen-interval 100 / num-people7 F7 |+ u7 v. A
plot 0% q5 \! f$ y7 J
% e/ `3 G! h, l1 d9 K let sorted-wealths sort [wealth] of turtles( N- s# G& Y$ `* U& R9 `* V
let total-wealth sum sorted-wealths" E6 n! m& W# G
let wealth-sum-so-far 08 Z, ~( r+ e3 {
let index 0" v2 u( z* z, A4 _1 _; U; G
let gini-index-reserve 0, T6 C+ n& J5 _ t
% F: N- T+ A$ G# d; s1 _9 I repeat num-people [
, M8 a4 p" k$ D& ^! ~! n set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
) M4 [' a e' }6 E; { h$ Y plot (wealth-sum-so-far / total-wealth) * 1005 C0 o2 @, D& S# @
set index (index + 1)
3 o3 }+ {. C1 F2 l, s4 X8 G set gini-index-reserve
: x3 ?: U9 P' ]" f% ]! N0 O gini-index-reserve +
3 b; x" J( Z# U2 G4 d7 ~1 k: n (index / num-people) -
% p. b6 P0 z9 i1 Y) N9 M (wealth-sum-so-far / total-wealth)# x' @1 `( w( H& z6 z }
]
( d1 p; z# u" ?0 G: K5 U) @0 F" ^4 M d/ N& s7 f0 U
set-current-plot "Gini-Index v. Time"/ W. F0 {% I' v6 P. D" ~
plot (gini-index-reserve / num-people) / area-of-equality-triangle* O& o( X/ w0 N3 {6 o
end5 q' [! ]# [( T& ]7 X
to-report area-of-equality-triangle5 D+ x, h S+ c! C6 N! M* V4 v
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
+ v/ D$ [4 C& {' u$ _' Send |