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
9 W, h! }9 C8 i4 C/ ?globals
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max-grain ! I" Q! Z2 x* K9 E& ~1 @
2 B7 ^) ]8 d) l& _
]2 T; r) q! A+ [
/ v4 O K6 L3 l; bpatches-own2 r$ k+ }5 Z" h- z3 t: h' z& w
[
/ _' H& q( f1 A4 o grain-here
& h1 a0 E+ ?4 I* ? max-grain-here 9 @9 t5 D9 Q4 A0 S# n# a# z3 ~" h
]
0 X0 R1 _ J3 d4 A- v2 }
. d |. k8 V; a1 t* C: R2 T+ Nturtles-own, O, w4 e# W. [& _( e% a# G7 {
[
A8 m' ?* t" K3 b age
% I5 H: C) q& J- W6 u" d1 E wealth ) g o0 o' c/ b8 G
life-expectancy 2 o4 _, q( {' b( B
metabolism
1 v& ~6 V* s2 q/ a8 M# F vision
) d" p! Y5 O& @! ? Y* R, D7 Q" K inherited
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X; ]0 w" H i" Y( e- U4 o8 b: O; z4 Q) A" b6 d6 Z7 [- ~
to setup
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4 l+ X) K6 X1 y; ?* N) S: d set max-grain 50
1 O# x$ U: ~- O3 T6 `7 Y R' N+ K3 z setup-patches
7 s: l% |: B& X0 A5 x setup-turtles) h/ }2 m, B2 h. o$ ~, I! Y
setup-plots' \$ k |4 Q' p: o+ b. P, E
update-plots8 k' N4 L- U5 f7 j
end4 a: Z2 N3 g1 I" ]8 W* U. [
to setup-patches
m4 Y) y; P; A1 x+ [) {0 F8 ]4 | ask patches
) S! c0 r/ } ]* `! Z+ Y9 M# d% Y [ set max-grain-here 0
) y, t' f. j2 G if (random-float 100.0) <= percent-best-land$ G/ Q6 n+ |% H. _& Q- a" }
[ set max-grain-here max-grain
q4 `5 D( K! E! h set grain-here max-grain-here ] ]
- Z$ @, c1 G/ q& _/ i# U repeat 5
- }6 U6 Z5 E1 b& i7 h' S [ ask patches with [max-grain-here != 0]4 i, B9 y) v7 z/ m
[ set grain-here max-grain-here ] R% c/ U- l6 r- J# k( {- o
diffuse grain-here 0.5 ]9 F$ \3 v' o o, J( o
repeat 10
! l5 p% {# b( t |/ k [ diffuse grain-here 0.5]
2 u9 ?: x7 T. V- r8 |9 F% ~( q/ v ask patches
0 I! ?% B M: F) [) g0 U" S [ set grain-here floor grain-here 4 O% {2 [" [- O/ j. m8 _2 p9 m
set max-grain-here grain-here
# }% y( i/ w% h( z* a recolor-patch ]
+ w: m! u" w# U- Z" Y0 n' |4 c) \end
* w* c( ]4 d; Oto recolor-patch * g, A) P/ P* }& m& w+ `1 G* L
set pcolor scale-color sky grain-here 0 max-grain
9 ?0 M# T- P' k6 m: G2 S0 u ?end
$ I( s5 f+ Y/ Tto setup-turtles0 i1 C: B' x/ G0 {+ c g
set-default-shape turtles "person"
0 v& y- m0 w& K' }3 K crt num-people
6 e2 _- ]# T: P! s, m6 I0 v% w8 c. ^ [ move-to one-of patches
) H$ y0 F$ ]3 f set size 1.5
9 S* h5 m* U; A set-initial-turtle-vars-age( w& @% M! Y2 K6 `
set-initial-turtle-vars-wealth- a1 v( |5 u. b; h
set age random life-expectancy ], R9 f6 @4 B2 y0 |' s
recolor-turtles9 W, A9 @ F( |5 N7 L" D: `
end- E4 b' |. q5 Q2 ?, K7 D- {
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to set-initial-turtle-vars-age g9 J# K* s0 I2 M; o7 f% x- m; p
let max-wealth max [wealth] of turtles
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3 p4 n3 s/ t) g ifelse (wealth <= max-wealth / 3)
$ ~$ Y ^, E7 U! | [ set color red & G% }, b; t# W, z
set age 0: F4 F: }8 o# U/ g( `1 \* k: T+ c
face one-of neighbors4
, a( W( ?) |, a0 Y# s/ G set life-expectancy life-expectancy-min +
: K2 A+ F5 Z2 g: g' c random life-expectancy-max " z" e& ^, k( q- `
set metabolism random 1 + metabolism-low) l P/ e+ }. l/ v
set wealth metabolism + random 30) w! X; q4 _6 h" v' H d
set vision 1 + random max-vision
# Y4 N5 L0 ^. I- @, p) F set wealth wealth + Wealth-inherited-low ]8 T7 z# o& P4 E) N' v* r/ R9 _
[ ifelse (wealth <= (max-wealth * 2 / 3)). Q1 d/ U1 W0 T
[ set color yellow
1 C6 K4 U% g) T5 s# Y5 X4 {7 R- B set age 0( w7 ~7 t# o3 G ~9 v
face one-of neighbors4
) Y4 Q/ U( _. A6 @/ n set life-expectancy life-expectancy-min +
; B+ I* O6 q, z random life-expectancy-max + 13 Q5 L- ^! C) {. i1 X
set metabolism 1 + random metabolism-mid
1 f4 i; D. e: C1 ` set wealth metabolism + random 30 V3 j5 R2 U, P/ W) T
set vision 3 + random max-vision3 E! J, H( F5 z' |) O
set wealth wealth + Wealth-inherited-mid]. e7 I3 f8 B( J% r$ o
[ set color green
0 w9 _- J: \/ v& a* K set age 0" P7 Q8 h" c1 {! h; M
face one-of neighbors4 ) W ^. p i& A/ @1 l( X5 S8 g
set life-expectancy life-expectancy-min +
( ] B" [, Q5 ] random life-expectancy-max + 2, C; M1 y5 p" j$ c( U
set metabolism 2 + random metabolism-up- p7 l. v+ |' ]8 c% s% f
set wealth metabolism + random 30
/ H; I; l4 b7 @ set vision 3 + random max-vision
- f9 \% H, W6 O/ g5 D7 R/ x5 D set wealth wealth + Wealth-inherited-up ] ]
$ w* ?& K% M7 m% M2 D0 A( L / l2 g$ K6 a& J8 k" p4 f/ _
end ]. S6 B: h/ L2 I* m% o# y% _
to set-initial-turtle-vars-wealth1 g8 I0 L( E: L* I/ X
let max-wealth max [wealth] of turtles. S# h+ O8 L. ]/ I1 r
set age 0
3 ?4 |$ x+ D0 b7 V- h face one-of neighbors4
- j1 L, X0 ?3 O* ~0 { set life-expectancy life-expectancy-min +
( B6 ~) V+ `& u4 l5 w random life-expectancy-max . d% T* N" g* |* u
set metabolism 1 + random metabolism-up
; A( ]; ?! Q# b7 I set wealth metabolism + random 30
/ c& A' t- {( p0 C+ c7 s1 r% h+ ] set vision 1 + random max-vision ) I' l% A: V- Q0 f S/ b% M
end
- {( Z' g2 K4 F8 N- H, kto redistribution
7 }7 |' x" l5 u% F2 Elet max-wealth max [wealth] of turtles$ B% A1 e5 k. K1 u' x
let min-wealth min [wealth] of turtles5 S# ]" Z% ?0 S( Y
if (wealth <= max-wealth / 3)
* r% J4 z' d8 R" H) P H1 | [set wealth wealth + Low-income-protection ]/ ]3 @4 ^/ T4 {$ j. V% c! ?) b- ]
end; R( X0 R. S' G' ^7 e& _: c P4 p
|6 ], b7 \' Pto recolor-turtles* N4 m/ R( T. m( |$ u0 k+ t
let max-wealth max [wealth] of turtles
% v8 n$ R- }. H. t% o# T ask turtles) o8 X6 K7 ~: ^: K
[ ifelse (wealth <= max-wealth / 3)
- r+ t8 T" p# @6 V$ W [ set color red ]$ t5 e- o4 O; q5 L
[ ifelse (wealth <= (max-wealth * 2 / 3))
8 M& q; z6 w9 d0 i [ set color yellow ]
9 g; v% E3 e8 I, e! T [ set color green ] ] ]' t: ? ~* l, y7 q% c
ask turtles [ifelse show-wealth?
" E0 v! f& s/ \% V [ set label wealth ]- y3 D% b9 R: m Q i2 o! O
[ set label "" ]]+ s$ z B3 D8 Q' @- M
end- M, c O2 T+ r' C1 d' B
i1 l6 k: ~; W9 hto go) H9 J; d- H" O' p2 g
ask turtles) q% E/ G3 R4 H# R
[ turn-towards-grain ]
2 U& d _0 w: d6 I: {- I harvest- M, [+ [* s! |3 ^
ask turtles
5 N% h% L0 C P, `0 a/ @0 l [ move-eat-age-die ]8 b2 d9 |' i3 `) _, L9 x
recolor-turtles
' k, v! E5 R G6 L: p. N if ticks mod grain-growth-interval = 0) ]8 @+ h$ G/ D) W" W
[ ask patches [ grow-grain ] ]% f( r/ v, D$ ]4 Y
7 w) w4 H& w* z3 F if ticks mod 11 = 0
7 [& b# t4 ] ^ B [ask turtles" [0 O4 c( y% U1 v1 d
[ redistribution ]]9 p, }. f* q1 C% x1 y3 O* o. \
if ticks mod 5 = 0
) O' K' V( {6 a3 V; s [ask turtles) O6 `. D6 ^- S/ o! L1 D
[ visions ]]$ l+ e9 p2 d- s! R, _- y0 _
tick
' u; n* o" W. T8 ^4 e: B update-plots
0 Q0 C/ ~; ?; \: n" fend8 g0 f$ l: k% v$ N0 ?( r6 b1 @/ }/ e
to visions
$ \2 W7 ~! N9 a& P set vision vision + 1 ' Y8 w; z' G( E7 {
end! d7 j2 Y" e7 r
8 E, j* O7 w/ d6 g
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to turn-towards-grain / O8 }9 u# e. Q2 p9 o6 p0 c
set heading 0( K. h8 L% c% m* K' F: V
let best-direction 02 {, T& k8 \) T- I' w; G5 n# ~
let best-amount grain-ahead. w- ~. [: \) X5 T& j3 J F
set heading 90
$ i {9 G' {( y4 A. m' y if (grain-ahead > best-amount)8 v6 ? i g3 q: L' [" n8 Z+ |
[ set best-direction 90. p0 ?0 R6 a5 Q. m2 M. X
set best-amount grain-ahead ]
/ T) n5 g2 V$ o: S1 Q# J8 f4 d set heading 180
* u# }' [& [2 w0 t% V7 m if (grain-ahead > best-amount)
: f, A1 y( S9 A [ set best-direction 180
. O1 ^% C+ D1 m' j' c/ c" n3 [ set best-amount grain-ahead ]
% O5 c7 t- k( U+ Q( \ set heading 270
) @3 f: T! o& w6 f if (grain-ahead > best-amount); P" w J+ @) e
[ set best-direction 2709 v) F: P/ b2 v2 N2 g
set best-amount grain-ahead ]& k! l" \7 j: t. R# w
set heading best-direction
x9 A, h) I2 f) l- Bend
j" F. ?# z4 h; s6 a$ K+ i& L
, }# X( w0 H! _4 |6 p8 f( v) o0 z a3 Y) o! ]- `4 v' ^: _1 R/ s3 G
to-report grain-ahead D7 `) n$ y* g" u6 | V/ T
let total 01 I S v/ V+ N& A
let how-far 13 F0 @& [9 S9 n0 E8 R0 }
repeat vision
' T6 y7 ]. x) q: k4 l, A [ set total total + [grain-here] of patch-ahead how-far
2 [7 ~# d3 Q$ g ^ set how-far how-far + 1 ]
+ [3 j* u2 \7 `8 a5 I report total
3 z* {6 ~8 `8 L2 w+ \end
- _7 j; ~# r! ^5 T
9 A7 \' C/ x8 g2 _% \9 N4 }* y* u6 ]to grow-grain & A2 l7 c5 X6 u
if (grain-here < max-grain-here)' [' {" e" o9 z j7 q
[ set grain-here grain-here + num-grain-grown6 c6 p1 X# j. E6 b+ |
if (grain-here > max-grain-here) ' ^5 V j1 r6 X# `* @0 A$ N
[ set grain-here max-grain-here ]- Z" a I5 [7 k0 \3 _ T2 ?
recolor-patch ]
0 H/ \" ^- S* o9 Z! g* Y4 mend' D/ }; a8 Q6 l$ W8 ]
to harvest- X! U P# Y0 }6 u7 ~
ask turtles
$ x+ s3 x# F$ j/ S9 ]2 B% y [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
$ I, c! ^$ m x! B" S; j ask turtles
9 r* A$ c4 }, L3 Y2 ?( S [ set grain-here 0
. |0 G, z5 i" e recolor-patch ]& T! C6 C4 ~3 a! Z5 J
$ N6 ~3 n e3 h: y% Iend
; P1 K! g4 Z6 D# G& w! y# l% C7 U9 }" f" K5 p/ k* A2 E
to move-eat-age-die ; Z+ A: E/ v- j9 _0 Q
fd 1
: B& j5 ~. w) n. C+ L; p% H set wealth (wealth - metabolism)6 p" V4 U# u7 h9 x# i
set age (age + 1)7 t/ ]3 v; |4 i; W4 [2 \; u
if (age >= life-expectancy)- O2 P# v/ F p) L7 B5 \
[ set-initial-turtle-vars-age ]/ L' V3 [- [+ }, S& D9 }
if (wealth < 0)& e9 t7 k# f( r- f* w& @* Q5 j
[ set-initial-turtle-vars-wealth ]
7 u a0 q; ]1 L# d " y9 A# h3 x* T) t! m' j/ E+ r4 u
end; \( ?. I" p: m1 |' t( _3 l
4 p# ?$ i2 v% [3 F* h5 i: D0 o
: V8 a& }8 ^5 B$ Xto setup-plots
}) H! {8 D; m2 P6 D; ] set-current-plot "Class Plot"
7 c* C I# T4 c4 E- Y1 j2 Z5 J% x set-plot-y-range 0 num-people+ M5 \3 T* P6 n' Z1 Y& [2 j
set-current-plot "Class Histogram"
; u, `0 q5 q" h: P: A set-plot-y-range 0 num-people! G' b: ^' {, f: V w7 w; [
end
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to update-plots/ u) q, v# H8 ^
update-class-plot
. G V. Q- p% z/ Q# N1 W+ b; C update-class-histogram
+ W/ |; m. L2 ^% e9 Q+ k$ X update-lorenz-and-gini-plots5 p. o. [- v! }; Z+ d
end* i j! d- C* r0 M2 f0 d( M( t
' w% j$ {0 B6 ]8 i. C ato update-class-plot) S" x N w- U. z2 \
set-current-plot "Class Plot"* \6 h' J" N" w4 n" W
set-current-plot-pen "low"
" C9 l' I9 ]- [, B- ?) y plot count turtles with [color = red]
. h; s! D' o$ [- @2 w( E set-current-plot-pen "mid"' V" J1 w# h9 W
plot count turtles with [color = yellow]2 r6 ^; Z& N4 m a6 ~+ x f6 w
set-current-plot-pen "up"' I4 I5 K/ F1 c( h. G: d3 @! h
plot count turtles with [color = green]
% A/ @1 k' T; y; |$ Bend, h2 c: n9 r0 n
& d, Z* k3 C) t* c$ p# M
to update-class-histogram7 n# y4 ^, [2 C7 {9 C9 M# |
set-current-plot "Class Histogram" x: b m# u* u- e" b
plot-pen-reset8 {# ]( M: m" F* @! y: |
set-plot-pen-color red
9 W( y8 d( P8 ^' p8 A$ D plot count turtles with [color = red]
; D5 ~' \ f5 w* m% v7 d set-plot-pen-color yellow. T! o2 R! Q( X D" y1 u' _! L U/ e
plot count turtles with [color = yellow]
. Q0 T! j E: z# y9 y$ C1 ^ set-plot-pen-color green
, T# M B" G3 _, Q0 t plot count turtles with [color = green]& C8 \% b$ f5 \% u% V' ~" _8 D/ W
end7 W5 v" Z8 H. O* E$ p7 Y
to update-lorenz-and-gini-plots3 N+ J' W% u3 m( p
set-current-plot "Lorenz Curve"
1 G" p. R$ I" t' @# h8 [( T3 L clear-plot
: q2 z K0 t& g }0 w3 p# n. P* L; ]( L
set-current-plot-pen "equal"$ r% r0 W/ r1 g; `$ c" m/ \
plot 0; o0 g" \( ]6 S
plot 100
- z! w: a( m- K1 x- `5 b
& l$ e! s# L/ e. b0 q: d set-current-plot-pen "lorenz"
* Z6 Q, u# `1 ~ C4 [ set-plot-pen-interval 100 / num-people
/ |; y* J5 @; _# j plot 05 ?" o( X" L8 m' U/ e& }- B9 c
6 U- i1 i/ j4 | let sorted-wealths sort [wealth] of turtles a0 Z9 H2 `8 a# G
let total-wealth sum sorted-wealths
: c+ k: j; f* f) g. C; Y let wealth-sum-so-far 0) f; A( x( Q6 }( `8 W/ d* u
let index 0, S, \: B0 O1 M; u2 V
let gini-index-reserve 0
9 _3 e. S& W' g: k* S' j
* f1 K1 u2 i, p; i0 P repeat num-people [0 ~4 n# M2 L, l' d/ ~+ B- V
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
5 w- V o+ R! m5 a @ plot (wealth-sum-so-far / total-wealth) * 100, m9 g4 x0 ?9 v
set index (index + 1)
3 v* S; Y4 f' l7 } set gini-index-reserve
1 N' \5 `/ h1 \4 c5 S5 M gini-index-reserve +
4 e( s0 V$ q6 b8 L# [& U) J (index / num-people) -/ M7 z3 h1 t& ?' h. [) U3 B; L ~
(wealth-sum-so-far / total-wealth)
1 V4 f' E" w- u* B ]
O8 g# m$ l" u& w. P @' f7 b6 G5 y6 W$ F$ Z. w1 w
set-current-plot "Gini-Index v. Time"6 n6 D. X; L/ a: ~9 ?
plot (gini-index-reserve / num-people) / area-of-equality-triangle0 f/ A* I d" l, \! t' `
end
: Y6 s- k! E; n! o$ X! j6 i# wto-report area-of-equality-triangle6 v( \( _0 X( D# `2 O
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
0 T" Q1 U; ?. W1 ]5 Nend |