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- n. c. K. z$ q z* F" { }# K
globals
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) \. G; p+ P1 f6 q) j, |7 F max-grain
0 ~5 Y* k; q' N# V, f
9 N; U4 E8 C* Z$ {. Z; ?9 a) @]% m, A2 P7 y$ F6 G8 r
. p- y1 `) z4 }$ C" ~- J1 b& t
patches-own
- d2 G+ n5 \+ @5 \5 Z: n6 H+ B. x. }[! u! M8 [- p! d2 h5 T6 j4 u
grain-here
3 }; F& o) H7 d# M4 D( G& r( C max-grain-here
* g9 J. j) {3 _]0 }+ S. R# y/ U ]4 a" d
C& z$ h" @" u) O3 yturtles-own y$ \+ |$ ]8 T1 H" R
[
) f# p8 D0 ]" w+ e6 R age % f5 Y( c) d# y4 h: Y3 r- r. F
wealth
j2 F) D) I |5 N5 O& b life-expectancy
- B+ ]9 ?0 K& O! m metabolism
$ ~- a* L% l" V" a vision
! E+ ^7 }1 U6 L inherited 0 o3 E" \3 h& ?6 U4 b% J6 p
]- g) y2 k7 q a' H. |$ T
# w l# C( i! g, ]3 `; B# J
) s# D1 y- u9 ^: m/ u+ z( Oto setup
7 H n# @$ b( L7 k7 Z$ W- _+ H ca$ Z5 w1 j3 O2 P" X
set max-grain 50& i& Z6 t# b% u; h4 U3 N: H. n! M/ k
setup-patches
1 `3 _ r. S, i setup-turtles
" Z" u, R* G; f! \$ V1 [- O2 t' w setup-plots
/ A" y: b) Z; }/ c4 R! h update-plots
# K, k5 Q) f+ g/ ?3 eend
K& C& t9 [# Vto setup-patches
0 v/ k( d7 X6 v. z ask patches
2 _8 v8 V- k& J/ u- C2 u9 n [ set max-grain-here 0
9 i- {4 s1 |& E1 W8 f" v if (random-float 100.0) <= percent-best-land
* p5 p! @ \: \4 a [ set max-grain-here max-grain3 v# s* ~5 K2 J; F1 `' H0 B) V
set grain-here max-grain-here ] ]6 u- Y& ?3 W& t1 E% u6 }) v) w
repeat 5& x5 q7 F! ]7 i
[ ask patches with [max-grain-here != 0]
. K$ u( Z4 `, u; Q9 ^* b4 Z [ set grain-here max-grain-here ]9 R2 ?8 D m* Y- y
diffuse grain-here 0.5 ]
6 V' o) o, q v repeat 10
. O' {3 r& I1 X* }4 u, g# @ [ diffuse grain-here 0.5] 8 H% L2 W4 D; ?
ask patches1 w7 b* s* c* A2 o# s2 W6 u
[ set grain-here floor grain-here
" f2 p; U0 A9 ?! g3 R1 o( h( _5 j( g( J set max-grain-here grain-here
3 G0 z p/ t7 P recolor-patch ]8 E$ f6 |* W9 s* \) b
end3 D U2 z% @% s
to recolor-patch 0 C1 T7 K: G9 ]+ [! O6 a# ]- f1 L
set pcolor scale-color sky grain-here 0 max-grain
0 ?6 P+ |* a7 R( [end6 N2 n" }3 ^& k# v, X( A
to setup-turtles" A2 V5 i# @, G. n2 n
set-default-shape turtles "person"
l- o& x1 M! _ ] d crt num-people$ T Q0 a. f: d& K5 K' s h c5 J
[ move-to one-of patches 7 O1 A {: o3 l" u( D8 |
set size 1.5
' k$ K0 {& [! R set-initial-turtle-vars-age3 m, b4 F9 B0 D4 v3 `
set-initial-turtle-vars-wealth3 i4 w2 B% c0 m0 J0 Z
set age random life-expectancy ]
6 T x9 r: T- R3 e recolor-turtles
( S K% r5 {- S8 d# T. \- eend( r: k! b4 C |7 r2 O1 _/ ?1 V
3 G% Z# S& Y/ c/ `to set-initial-turtle-vars-age
5 z& z% N1 F" p9 f let max-wealth max [wealth] of turtles
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8 Q9 ]" e: O; Q' {- e! ^- Z ifelse (wealth <= max-wealth / 3)) n/ Q. U2 \: |. _. g- ^
[ set color red 8 v3 B7 T: s: v3 X0 k c% L
set age 0 t3 I% N w) V7 O" u9 ?
face one-of neighbors4 8 j* J* u+ Z3 I1 h# I! Y: ]9 G; r
set life-expectancy life-expectancy-min +
+ Q8 d x; f. m0 }: U: v random life-expectancy-max ! @3 n" j/ |+ }+ S" C- p
set metabolism random 1 + metabolism-low
8 k: r1 q3 w7 G: k) i) v set wealth metabolism + random 30
& z8 T0 c- f& B% i7 O set vision 1 + random max-vision9 B/ |/ S" Q" B6 `( P
set wealth wealth + Wealth-inherited-low ]
$ I) M" ^; v! ~# _& T [ ifelse (wealth <= (max-wealth * 2 / 3))
1 R- C/ ^# a6 M" H% X t8 {2 q+ ~ [ set color yellow
g% P1 ^1 q: N set age 05 J. H# _' d1 X5 Y7 H: w& \
face one-of neighbors4 : M# o4 l7 e' G) c. y6 n7 j
set life-expectancy life-expectancy-min +1 |- K1 R! K# ?, h9 C n
random life-expectancy-max + 1& B, ]9 }4 _+ f* y; z5 C: K! f
set metabolism 1 + random metabolism-mid9 W: I& w$ `: m- [( B& a3 `! i0 m" U |
set wealth metabolism + random 30! \9 {' v2 Y6 c, [: o, ]
set vision 3 + random max-vision5 q( b4 t! ^' K4 k S( H; q
set wealth wealth + Wealth-inherited-mid]8 A6 q8 ]3 s# j& l" p
[ set color green 6 i: s' _" v4 _3 _, o( @
set age 0
3 S5 ~( K s# d3 v9 q9 ] face one-of neighbors4
" i. Y3 w% J3 q. @( Y5 X set life-expectancy life-expectancy-min +
; t( Z6 H8 o9 R0 o& R6 t3 i( o random life-expectancy-max + 27 U1 c0 |/ t* {' S2 z! g
set metabolism 2 + random metabolism-up
3 O5 P% i7 x4 T5 V- k, ]# _* H6 E" O set wealth metabolism + random 301 I! C5 @0 t9 J- ]. O
set vision 3 + random max-vision
" n1 s" m' x4 A6 f8 ^ set wealth wealth + Wealth-inherited-up ] ]
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% [3 W, O( |+ X" g+ g* H9 d2 \end
- t6 r/ a, y% F$ a7 m/ s) }7 h; r5 vto set-initial-turtle-vars-wealth' c0 h( ^" y' @; A6 M
let max-wealth max [wealth] of turtles
4 i+ Q& S3 B' j* C+ \ f3 }: R7 H set age 0( ?0 d! P3 k5 d3 p( J; }1 B$ C
face one-of neighbors4
$ @4 X+ q3 z, \5 t set life-expectancy life-expectancy-min +
5 V ?( M3 L1 }' L9 G+ f: g2 t( R random life-expectancy-max
7 P: `" h4 M% g( b7 n V set metabolism 1 + random metabolism-up* |1 X5 R0 N! ~
set wealth metabolism + random 301 c$ l8 x% f* E
set vision 1 + random max-vision ( S3 s, b2 f, T$ A
end
9 W4 w+ d0 y1 E. wto redistribution9 \+ B* i: B6 e. v# R& y
let max-wealth max [wealth] of turtles( f# z6 ^% [, S3 ]! A, d
let min-wealth min [wealth] of turtles
! H& U( h$ X& s; {4 X: Y9 E' Rif (wealth <= max-wealth / 3)& A6 f( b. }4 Z
[set wealth wealth + Low-income-protection ]" t1 V3 m. w5 q7 }# m x) }
end
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Z7 {5 G& ?6 P& y7 ~, Z" J8 Rto recolor-turtles5 A. Z# `6 B+ D! z, L- ~ [5 i+ f
let max-wealth max [wealth] of turtles( P/ R3 B( p) R: ]
ask turtles$ E6 i9 B8 \( b- Q( {& G7 k% Q
[ ifelse (wealth <= max-wealth / 3)) q* S! w1 S: N4 d
[ set color red ]! v$ I# j, d# D, h
[ ifelse (wealth <= (max-wealth * 2 / 3))
4 q$ n' x& K" w7 v3 ` [ set color yellow ]
6 w+ |4 F6 J' B5 k- a9 V( U) p! a, t [ set color green ] ] ]4 s- s* Y ?& Z$ V& W
ask turtles [ifelse show-wealth?
- k0 M. d1 h2 @0 i% r' }% x [ set label wealth ]
6 i2 p$ }0 ^! I8 o2 z# K [ set label "" ]]# f. I1 i2 ]6 s# D! m9 [, o
end
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to go
) Q- L: J/ u7 g ask turtles
' N( m( s% |2 t [ turn-towards-grain ] 6 B; q; k4 h( M' Y7 h( u& u
harvest* U' f! c4 c; A! ~ N: P H
ask turtles
3 t7 n5 |+ Q( d$ m F [ move-eat-age-die ]9 s5 L5 b+ o# n2 ^0 i
recolor-turtles
* F3 m5 Q+ P: o% Y2 [9 v( j if ticks mod grain-growth-interval = 0
9 z$ x1 N% K9 z8 d [ ask patches [ grow-grain ] ]
% O: T# m# V) \; v+ f
4 S$ N/ {* B6 A9 j6 m! d if ticks mod 11 = 0; t8 s7 P9 J \: r# M
[ask turtles7 Q T$ f& v: M
[ redistribution ]]* ~" u- n( b/ j" a
if ticks mod 5 = 0' y7 _' x1 \$ y0 q
[ask turtles" A/ E; I. ?- V- [9 p
[ visions ]]' a# y$ Q% @5 n; y# D! C1 e6 B
tick
- N5 E6 ?( y Q) ] update-plots' X' i- J" b7 r7 X( Q; G
end
3 B. T( i- h5 h U) Rto visions8 i1 g% G3 u! h0 E
set vision vision + 1 # [8 f: s5 [- l6 j2 d0 e
end% E' R( E4 U9 b. g; H0 R/ ]0 L! P
3 U6 d' w* P( _$ r( A. G
A/ ]( \- L& Y5 [' w* x- n! H
6 e2 d/ K9 Y1 G# m9 fto turn-towards-grain
! b* o+ C" Z* d# ?3 h set heading 01 k0 j4 H, O+ \0 }1 [
let best-direction 0
9 F+ Q! A( i0 h" o4 Q/ u let best-amount grain-ahead
U- k. ^& g1 ?7 W& g set heading 90
' G7 R: l- O1 `* ~) F& K if (grain-ahead > best-amount)) H$ G- h" B& L4 D E
[ set best-direction 90: n: P# x* g0 n* k4 t( N+ S
set best-amount grain-ahead ]
, l0 d0 N0 W& j set heading 180
& ?! O } m; l, Z if (grain-ahead > best-amount)" |0 q" x2 u7 q9 ~- A1 ]2 A& o
[ set best-direction 180
3 v# Z' k; q* @% N6 n1 w set best-amount grain-ahead ]
- U* b+ K8 o P" M4 K set heading 270& P3 o$ Y$ m4 x+ D, m
if (grain-ahead > best-amount)
+ B7 U& U, W9 Z; G1 g2 e [ set best-direction 270/ C- }- r5 e* }
set best-amount grain-ahead ]
, k6 ?) p: ~6 [8 c8 D1 J1 Q" | set heading best-direction
' J5 Q2 f" t1 v% v% x/ z5 jend1 o" S( R6 w4 P2 T; a: R
; S- R9 |$ Y5 p0 g' H
% J3 h2 s! A- [8 z8 D2 Y" G% nto-report grain-ahead % v" t7 W4 R& o1 L$ d8 e# W. o5 e
let total 0& ?0 {7 C$ l6 y* C# p' [
let how-far 1
* I$ {% s3 K- v, u" ?1 ^9 |/ A/ o repeat vision
9 k8 C8 K: I- G" B [ set total total + [grain-here] of patch-ahead how-far/ E+ ^( h! G2 ?' M; W! ^( {+ K, f! }
set how-far how-far + 1 ]
7 n1 u' e) R+ A P* o1 M0 P, b/ q report total
4 B3 A2 n Z) t) o( u& X9 m- gend8 K8 H+ Q9 X6 M" [
) \1 p6 n# j9 D Uto grow-grain
! r& k% F' r$ h8 z if (grain-here < max-grain-here)* [7 \% L! `1 Q, A- l* k; o, J! M
[ set grain-here grain-here + num-grain-grown ?3 I# p' S+ M7 E! a3 C
if (grain-here > max-grain-here) $ d2 y3 u; w" M6 M8 u" Z$ Y
[ set grain-here max-grain-here ]
3 y! n* C F' T* T* F# x8 z# |, O recolor-patch ]
+ @+ d& v2 K W1 n9 Mend- w" V% o+ d$ e3 z: t
to harvest* u+ L# E! I) k4 }) V6 |3 e* E3 Q
ask turtles
$ ~* X+ @* ^! _ [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
: r8 Y$ z) ^5 Y0 x; X( q5 Q% V ask turtles9 [' W0 S8 k" @( c2 G. R- P
[ set grain-here 0* n4 `) f2 M! n& `. u/ b
recolor-patch ]1 F/ \* W; l3 n, K) b( U
) s* j8 {" A' m
end
' S+ P7 h# e; c" ]7 {/ b7 m" Q7 ]; h1 K
to move-eat-age-die * v0 N2 h: @: {' O4 I) e
fd 1
0 C: B! D: q. {9 U: P; ~, ~ set wealth (wealth - metabolism)
" F! Z$ \$ y( K$ y* Y8 V set age (age + 1)
9 ^1 Z$ u! ~- ~6 e- u: Z+ F8 O if (age >= life-expectancy)
! }) x; ?9 u% `9 ]- J. Z9 V4 f [ set-initial-turtle-vars-age ]
7 ?" [" A* m& a: I if (wealth < 0)
! i8 @: t3 Y1 P! |- K$ ~: g! m [ set-initial-turtle-vars-wealth ]
6 F& {! d7 z% j' u0 E ' k5 P& D' |6 u4 P, w& {
end9 x6 p8 t2 ~" i! z
! v- A* v' a6 i2 H- l! j, T! [
. B- P5 ~8 J% z1 H+ f# g. }to setup-plots
; W/ X* O! m+ S9 R, Q set-current-plot "Class Plot"
i% l- p( _- y set-plot-y-range 0 num-people3 q k5 N* v4 ?0 J( d. R0 V
set-current-plot "Class Histogram"
) |: c* m6 |9 D3 z- d @ set-plot-y-range 0 num-people
: ] N9 L2 V, q/ Mend+ R# O* o& Y7 g b
% p, o+ m- O# j: yto update-plots
R p: i+ q" S- p4 Y update-class-plot/ J, O, v& i. q/ P. N1 v
update-class-histogram; S& b6 E0 c3 _9 u- \0 D' M
update-lorenz-and-gini-plots
# C3 U) u0 e* _, h& O Y- H) ~end
7 q2 B4 `% j- h3 R) f
+ Z6 ?5 Y! b: n" C3 D1 Y) V# u6 ^to update-class-plot1 s' b+ z2 P% f% P% |# {% A
set-current-plot "Class Plot"
; A( b3 \7 S6 H; B/ T! N$ _ set-current-plot-pen "low"4 t9 R+ Q5 S. I
plot count turtles with [color = red]) @5 X; V1 q$ H _8 [
set-current-plot-pen "mid"* Y& X' f: Z5 ]! `. O$ Z
plot count turtles with [color = yellow]. }. Q" x- H/ G# T, L
set-current-plot-pen "up"9 ^2 ]6 V% C5 f8 X4 b( ^% n% s
plot count turtles with [color = green]; O8 V5 n, V- i; H" f8 @
end' R- Z' T( j. h7 g8 X& u
! u* _/ {2 Q( R9 `7 K
to update-class-histogram# \+ V8 W* U; v! |( G" f& q
set-current-plot "Class Histogram"& ~; u. T2 Z5 d* }; L
plot-pen-reset; k7 E8 `7 e1 m$ i
set-plot-pen-color red8 b/ D# E: U5 I9 |- A$ Y
plot count turtles with [color = red]
3 F3 k _4 [/ m0 |# r$ K" } set-plot-pen-color yellow
2 H& M( g) Q9 U, x# F) o. p5 a; Z [2 w plot count turtles with [color = yellow]+ T; v4 r: h A3 ]3 t4 G$ \# H
set-plot-pen-color green2 Q8 v: Y! Y! p" z/ w; g: X: n
plot count turtles with [color = green]* K9 e) {, j, ?& y z6 ?
end) J9 r2 i4 Y( ^5 w$ ^
to update-lorenz-and-gini-plots V7 O4 W! C7 w# I3 ~9 f
set-current-plot "Lorenz Curve"
- I3 v K% V* i* k5 s clear-plot
0 Q( ]. a& d4 v2 D+ k9 R( E: b8 N" S. g' k. ^" v3 T
set-current-plot-pen "equal"; O# Z: P! _3 z9 K: s
plot 0
; ^! v, @7 b7 F, Q9 i" z% a plot 100
5 v- z: Z. S8 S+ f) b1 Y
. ?" W5 _( o4 ]& b" x$ U/ r6 q9 k set-current-plot-pen "lorenz"
- K' b9 F& U: E- l/ B3 v set-plot-pen-interval 100 / num-people) F) [6 x9 ^5 N. O( w* f: d, z
plot 0( l3 J4 b/ w- n# B/ A, ~
' A( G! \' R+ n7 e: n( e6 B' G let sorted-wealths sort [wealth] of turtles
/ |6 y9 e: l7 X! E/ z" u& Y" C. s3 n let total-wealth sum sorted-wealths) n2 e5 q, g! d, I' s
let wealth-sum-so-far 0% r# Z C+ f2 m0 |% o
let index 0
+ B; F" C+ Q3 N5 s2 C let gini-index-reserve 0
% W& X7 H* b5 {, q; w6 R% Z$ H2 ]+ E9 s4 R8 `) z! P
repeat num-people [9 G `. I9 D4 d
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
1 U/ B! ^! _+ K. ?" j8 [8 H plot (wealth-sum-so-far / total-wealth) * 100
- C! S' Q. a2 {* V' k) h set index (index + 1)1 P1 J L9 E, ]6 I7 v, F* v
set gini-index-reserve
* O( `% r8 U' z4 o gini-index-reserve +
* k' y) m6 ?; g+ ]" C# V0 ~6 Y+ _ (index / num-people) -
8 A/ a7 K/ I$ |6 x (wealth-sum-so-far / total-wealth)% O% d$ J( c! t w) _0 t* E' R4 x
]
Y, P( R4 B K: J T; n1 O/ E) R- M: A
set-current-plot "Gini-Index v. Time"! E' c4 u3 D+ Q* q7 d" ^$ h) {
plot (gini-index-reserve / num-people) / area-of-equality-triangle
: p( ~* y# i( i! E1 G+ cend4 X: |6 W4 Y# n$ z' `
to-report area-of-equality-triangle* b' @- `9 k/ o
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)8 s S9 x7 i! u+ P, P5 e/ u6 p
end |