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
+ A6 ~, q0 [# O) @7 U, Xglobals
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max-grain
7 d- {, F/ n% e" K" y2 J( } N. | S+ d
5 i6 [2 }& _" L6 a: L1 X# L]
; z0 Y! R$ o I( x. @% i+ e: f1 A( ]
patches-own" |6 q4 ]2 M* Z5 V0 b
[
7 t7 O+ W+ D: T$ B( e, n grain-here
' Y% w% e# F4 i( Y8 K max-grain-here
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turtles-own) H |% M M: w8 q3 Q9 g2 @+ c, Q
[9 J+ \- S& a) _ z
age
; I% j& u. T# B wealth
* W' q6 K$ B: }% K life-expectancy
) n H0 I( _6 m& W7 t metabolism
3 u1 q- B) w E- i0 O vision
0 B5 {- l( F" D1 { inherited
2 H; p6 C/ b* W4 |' e. `]( A- { r0 ^" L3 c# G9 l
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O7 D9 n( T) S0 p4 s
to setup
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set max-grain 50+ B9 f, X6 v. [& u
setup-patches% B3 h" V8 p6 E
setup-turtles
9 h1 g8 a! n% e setup-plots
: V7 E) s M1 P. Q& F update-plots
! J1 s. ?* q9 gend, ]2 Y R. \# d+ ]
to setup-patches
# P+ t& L9 q+ S ask patches" f8 `3 X* s6 E1 X* I) k S
[ set max-grain-here 0
8 D* a1 t# p3 V' x( o) z if (random-float 100.0) <= percent-best-land
0 G: @5 z ?9 X; u [ set max-grain-here max-grain0 x" C9 v" A. ^2 L$ r" \# J
set grain-here max-grain-here ] ]( y+ i' J1 Q# b/ I( ~5 }: {2 [0 T2 E
repeat 5
/ _7 ^ L+ ?: L+ ~8 ] } [ ask patches with [max-grain-here != 0]
9 [; e/ H* w( L1 |1 @) R; @" {+ E9 d [ set grain-here max-grain-here ], N9 q8 k0 T+ u
diffuse grain-here 0.5 ]
) G; f* O! {" r1 O: E repeat 10
: r8 Q* ]1 {% i" F* l9 j [ diffuse grain-here 0.5]
" Q- m1 I: w, [- v! }. j ?$ Q ask patches
# F1 E) u/ g# t% t! ` [ set grain-here floor grain-here
- ^$ u" R l! j5 d set max-grain-here grain-here
" |3 U0 S$ @7 K, ?+ Y* V recolor-patch ]
7 q- ~5 Z2 h' k) Y3 a& e0 Tend! A, _* p1 R: ?; t8 I8 B. |6 W
to recolor-patch
/ U' V% @/ }# ^; k t7 z, q* t0 D set pcolor scale-color sky grain-here 0 max-grain
& w5 }% B" G: o( k; @: C' h& D; r8 ~+ Wend8 ^- r: Q* I7 E8 V
to setup-turtles6 |( r ?, ?1 ^5 P2 D9 ?/ B
set-default-shape turtles "person"
3 ?7 U& {( v( p crt num-people2 |3 ~- L& y/ z! f/ ?
[ move-to one-of patches
5 B& X( F$ n+ {3 E; V9 y. c5 m) J set size 1.5 & n6 A& l- t% ~! o
set-initial-turtle-vars-age
. }& D! O- u* g' S- V+ |- C+ } Y set-initial-turtle-vars-wealth7 ~! c, v* z8 b- W
set age random life-expectancy ]- q$ k1 E' P4 m' [& [
recolor-turtles
0 Z# V4 P9 p) c4 o$ Fend: K M7 [: _) j
6 l7 e- L% N3 x# Y
to set-initial-turtle-vars-age
; e2 C/ r" F" W& d, w( M8 Q let max-wealth max [wealth] of turtles6 O7 y7 [1 m$ \1 n# d
E7 V1 |, ` a9 L9 g- h/ B. B
ifelse (wealth <= max-wealth / 3)
3 V5 S' L* t1 U# \, j2 o [ set color red
2 g. } g! F( V4 U set age 0( ?' v! m8 x x3 a T; d: U
face one-of neighbors4
1 e/ h5 Q# Y; j/ k set life-expectancy life-expectancy-min +
5 y% U3 |: O5 `, ~/ A! i random life-expectancy-max , K& l- u4 @7 g
set metabolism random 1 + metabolism-low
4 d- V3 N$ L! c/ p7 ? set wealth metabolism + random 30
6 A4 g( o0 {2 A' [4 M* U# ^, D$ B/ O7 c set vision 1 + random max-vision* \- ]# f, @( L& L' M- E% R. \ l! M
set wealth wealth + Wealth-inherited-low ]
3 ]' I- A9 R8 v% y [ ifelse (wealth <= (max-wealth * 2 / 3))
& Z0 W* y9 l8 p# A [ set color yellow 4 w* \) w5 J+ R) w- }' V3 o
set age 0
/ s6 S/ J8 T) F1 ~2 J2 r* A face one-of neighbors4 1 i& j6 [5 S* w+ [5 g3 d; Q
set life-expectancy life-expectancy-min +
, X& u$ I7 d% {* s6 C+ s random life-expectancy-max + 1
7 |+ [4 h; p Z, H0 x } set metabolism 1 + random metabolism-mid4 c- w) h: B. F$ z6 c' K% {4 Y& R( J
set wealth metabolism + random 307 N/ N' n; c* D& Q+ I1 E$ h" X& B
set vision 3 + random max-vision) Y! k# }4 h: ?: U/ _
set wealth wealth + Wealth-inherited-mid]
8 ~6 a& N: e/ d2 w! K [ set color green
; z9 D5 {9 Q; K5 g0 Y0 @8 v1 d set age 0) {4 y7 K& B$ `: I. h& X
face one-of neighbors4 ( T. R. G" q; H) M: r
set life-expectancy life-expectancy-min +
" w7 ?9 V; V8 q$ x1 z9 ~! H- @ random life-expectancy-max + 2! i/ f) U: G& w; ]& J+ i, e a5 P
set metabolism 2 + random metabolism-up
. U* I7 }9 y+ A$ a A set wealth metabolism + random 304 R. w0 r) g* @- X, x
set vision 3 + random max-vision
, O& j$ r" m2 g- P& {- F set wealth wealth + Wealth-inherited-up ] ]
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& Y: o1 ?6 F* hend
7 [" B J$ T3 t5 _to set-initial-turtle-vars-wealth0 M5 ?2 R& U) v) k! Z; X
let max-wealth max [wealth] of turtles( [3 [9 |, Q' J: t0 [( x, g/ t2 k
set age 0& B, G" H- N3 n
face one-of neighbors4
) G/ E* _% h1 q4 i9 T' h% l) G set life-expectancy life-expectancy-min +
* _. _2 W' K Z9 d' v8 G: K random life-expectancy-max
6 x; y* d! a/ n set metabolism 1 + random metabolism-up0 A' H1 D* x# [& L. L" W
set wealth metabolism + random 30
" o( L" V- {. a6 c3 A set vision 1 + random max-vision
- x" F4 [; @& z" mend
: @' b- {6 f* D- ], x# Qto redistribution: |" V0 @" q4 v! x c6 Q
let max-wealth max [wealth] of turtles& k( `6 C% b+ Z& U, o
let min-wealth min [wealth] of turtles: @7 U! Y" l! ~: b& ~7 b
if (wealth <= max-wealth / 3)$ z9 K7 N/ Q9 n8 b+ O5 m
[set wealth wealth + Low-income-protection ]8 Y, X+ s. c* O+ T1 n) i8 o$ `
end
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+ V% \/ F5 K7 `9 `8 j- N3 O; nto recolor-turtles
5 O$ V( a( s6 d4 z, N let max-wealth max [wealth] of turtles
# m& ^ ?' i- i5 _& X! {8 V" G ask turtles. e# Q c7 t) t; m% G# r# I
[ ifelse (wealth <= max-wealth / 3)
+ ~4 h0 b+ @! f4 \* {) O/ q% ^ [ set color red ]
" C# {+ l: X- b4 h- u/ _ [ ifelse (wealth <= (max-wealth * 2 / 3))) O0 t0 A- f2 Q( w& P
[ set color yellow ]
! i) U8 S' x3 ?* w8 a/ h [ set color green ] ] ]
# i) L- B; u3 H" j) m7 N ask turtles [ifelse show-wealth?
) f+ G% G6 O! r+ |3 ? [ set label wealth ]+ Z$ y4 R, ?, }9 D7 E4 z, Y" k+ g
[ set label "" ]]& Y' b/ b: V3 e$ I
end! C! R7 y6 ?: Y
3 H5 C) u# w* d$ w. I1 @3 T; lto go8 g W- Y: [7 t# {0 p
ask turtles; w2 e% ]1 @) ? {& |' f. a
[ turn-towards-grain ] - I3 T6 M/ u& l+ ~& c
harvest
G' i+ [1 ~% [0 w( u! G ask turtles( u7 ?$ {& e7 w
[ move-eat-age-die ]* ^; ~( c" a, W# w
recolor-turtles
; i) t. I6 N0 N7 X3 p9 J& Z+ | if ticks mod grain-growth-interval = 01 P; B4 A1 j$ A2 H; `% Z
[ ask patches [ grow-grain ] ]; k7 |; ` v( R, Y9 P
6 W4 r% d ^- s1 W8 L. E
if ticks mod 11 = 0
( ]7 i. ?( I, f! _7 a# c" d [ask turtles
' B C3 H3 ]- L( y$ L2 R" Z$ { f; A [ redistribution ]]
3 J6 }+ H! R) {- \( M' _# J if ticks mod 5 = 0& R" o, V5 h6 S$ r" V) z3 h
[ask turtles, w- U+ w E4 h& S- O
[ visions ]]- T. F# ]& X7 j- z! Z& ]
tick
( U& m- N0 P! P4 \0 H update-plots
7 K3 N$ V( d$ Z' F* d( Nend
. l8 c o' r d/ Xto visions
: j' X8 t; d' f+ M" I8 N F0 T; ? set vision vision + 1 & J1 l5 ~- _1 x% i6 c! y
end* e! _( X& z e7 L: ` a3 u
1 g9 k( _; V' n0 p
5 \: K% A( Y1 Z! O1 J% {4 P/ `. ^# v- b/ }$ z8 p
to turn-towards-grain ' ~0 ?4 I2 I& u- O% o
set heading 04 @. I; q- F/ T( h w6 |1 C# |
let best-direction 0
- @/ Z% e: O3 H7 `8 t& w( F0 L/ T let best-amount grain-ahead' J) {3 e: ~# k2 g
set heading 90
6 X. w' L) s4 T) K3 X if (grain-ahead > best-amount)$ o; J1 T: A& i/ h
[ set best-direction 907 Q& g$ G# {6 V- U7 F- S
set best-amount grain-ahead ]
& ^: r- m9 f3 T) p( B& ?$ _- z' j set heading 180. A& E4 a# K4 k% [. N+ A/ D! S* d
if (grain-ahead > best-amount)
1 o! I. _+ J! s( t, M* ] [ set best-direction 1809 u. T8 m f l" W6 k
set best-amount grain-ahead ]
' g- E0 M+ z) a$ k set heading 2705 o+ g: T5 Q* K
if (grain-ahead > best-amount)6 \% O/ H- R" e! P; x; f
[ set best-direction 270
( P: g& C' Y1 J- j set best-amount grain-ahead ]
5 X, u' J+ l7 b& Y% s$ F set heading best-direction5 c! [; ], d c# |, |
end
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7 c, x8 m) r: e; Y. O3 C3 wto-report grain-ahead
* Q9 N* @) P( H! J5 x9 C let total 0* w) b9 \0 ~) h6 g# s, J
let how-far 1, v' a- m Y1 ~1 Z8 a
repeat vision
8 I% F; I2 L" X) |, Z. ~ [ set total total + [grain-here] of patch-ahead how-far
+ [9 b1 d! j* h. l% w set how-far how-far + 1 ]
. D" r# }6 i2 a& [7 L: [ report total
' k, ^4 y. G6 N; {3 c) F) o( ]end
; k- ~% A7 Q4 R# @' X! n, a, \6 J+ V; s
to grow-grain
9 r5 }) ~, H2 o# r7 c P4 H if (grain-here < max-grain-here)
6 `- d/ T* Q$ m7 z3 ^: c [ set grain-here grain-here + num-grain-grown
. h. F: z4 A! r4 t if (grain-here > max-grain-here)
2 {. D4 C5 C( e% Y) ] [ set grain-here max-grain-here ]
# s" |% \1 ]6 R* L, n recolor-patch ]
% L+ `3 m2 c# k; T! ^7 E6 c' Rend- S# w+ m8 e7 Z1 l* U j6 p' V
to harvest3 e& c$ ~! F8 h: i) H3 Z; d8 n
ask turtles8 v% \, T) N x0 a6 s" B
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
. B' \2 s2 n; B4 t' R8 k ask turtles1 D4 C5 f4 a+ c7 R# f
[ set grain-here 03 ^$ K' l& t1 X1 P
recolor-patch ]
+ s) ?9 q1 Y* A
9 J! X: q b p+ T2 L/ c5 Y# N3 Yend
' q0 E, H7 p- ~0 U/ m! D) h5 c6 f3 \% Y# u0 }) F
to move-eat-age-die
& P' Q1 X! s ` fd 17 I, C1 ^# D' P! Y+ ~
set wealth (wealth - metabolism)
6 l# t. f$ m$ a: ~& J set age (age + 1)
- @3 B1 _% U/ \' r8 B if (age >= life-expectancy)
3 z: b$ G' d* }9 w9 j8 L" Q& k [ set-initial-turtle-vars-age ]
. Q7 ]5 c( m( I# m; I if (wealth < 0)9 _% z) u& T. {% M
[ set-initial-turtle-vars-wealth ]" [0 V' L! i( T$ @/ |/ |
( L8 P* H" |& m2 q hend
2 \. q- A; s3 D: D g% p( [
5 m6 t! [8 h. ^2 F3 }1 Q0 ?; O! m( ?+ d, v( i l% n/ y
to setup-plots7 m% C+ `. y7 s6 s" Q m& q
set-current-plot "Class Plot", T' t6 ?" F: T& y$ k
set-plot-y-range 0 num-people5 n+ b$ G5 W# r0 a& O
set-current-plot "Class Histogram"
; S. B% C' j3 a set-plot-y-range 0 num-people0 n* N0 c& i+ K( n8 M1 q
end
' q5 H7 N; u+ ^+ J/ D- e$ X; Z9 i" N* C' X7 g k$ e
to update-plots$ P- l* }8 S* c# z* j$ }5 ?
update-class-plot
4 \6 h" s2 H3 Z6 P, y B update-class-histogram
8 K6 t# s" G: j update-lorenz-and-gini-plots2 ?7 G" q' Q. w; b K
end; |; t5 p4 m; H5 `
! h+ S, C5 S3 w% h1 [to update-class-plot
* t/ r. R9 }" D5 {4 _ set-current-plot "Class Plot"+ _' x( |. ] I1 y3 q
set-current-plot-pen "low"
3 c5 f/ z' K' u( Z$ z plot count turtles with [color = red]: a9 X( q% p; v+ ^5 V+ v
set-current-plot-pen "mid"+ o' z" r9 `) R+ C
plot count turtles with [color = yellow]
1 L& d4 x4 {/ C( I* [ set-current-plot-pen "up"
2 b" m7 r3 w( @# | d) ^ plot count turtles with [color = green]2 L, ?0 A0 g w7 W, R6 F
end$ I. t0 Q0 k$ ^0 d) l1 D8 S5 n
, Q* R6 }8 ?% p! Q: X0 vto update-class-histogram+ R4 }5 J2 T( H" g U4 M
set-current-plot "Class Histogram"
$ I( B& L/ P4 P' k. p/ I plot-pen-reset
, E/ ?4 z1 \, Y8 C set-plot-pen-color red8 v) q- L' O4 \+ ?4 B/ U) r
plot count turtles with [color = red]* z3 A: l0 O0 _( B4 }1 w
set-plot-pen-color yellow
$ r' ~1 K! j& m plot count turtles with [color = yellow], L+ w+ V9 |( g- `
set-plot-pen-color green5 I2 G1 U) o' X0 \5 H
plot count turtles with [color = green]
7 N/ S. @* y5 g+ Q G9 e# jend
0 c- X9 p5 V: n" V# G$ J/ F& o- kto update-lorenz-and-gini-plots
; `7 ^! [$ d6 O* x0 Z2 X$ g set-current-plot "Lorenz Curve"! `$ q' ~/ @, m; i1 J
clear-plot, U0 w/ Y2 s& t5 c
! \( K4 y* F0 ?0 A) }
set-current-plot-pen "equal"
" L. G2 G+ A# l$ n' }& T3 A+ C plot 0
( h( X5 J$ s q. `0 B; i plot 100) f, \! t2 G$ i7 o/ l( N
! s* W5 p1 ^( F
set-current-plot-pen "lorenz"
+ s, O9 {# S. @9 j3 l2 H3 V& o# r set-plot-pen-interval 100 / num-people
" K6 ~% @* o7 z! ? plot 0
; {' r" G, o8 |( F p8 a, M( w
1 [. ]; _" X% h9 S- l& C5 u/ @) G let sorted-wealths sort [wealth] of turtles. O' z5 X1 X& `" w$ d
let total-wealth sum sorted-wealths
1 P7 C7 P9 U1 r: }* k let wealth-sum-so-far 0
# y& O% s" ~) X& C) X& Y+ z let index 0
+ a5 n% \% p( g5 n2 h# d5 \! G" _ let gini-index-reserve 0
7 @6 O1 g% }) s' v$ ]* T+ ^: D) D9 E
repeat num-people [
/ }4 ?" o2 \- A" P/ X7 ^( L set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
2 y! [ S9 |; u) B+ I' v) E plot (wealth-sum-so-far / total-wealth) * 100
6 c: J4 q0 b" ]6 }! t6 Q set index (index + 1)* c! w/ q( A5 j( }9 \! e
set gini-index-reserve% {4 ]4 p# }' K8 }
gini-index-reserve +
- G! @ W( G$ R- v! r: M6 C+ K (index / num-people) -: Y: q; Z$ v O5 M7 M) a
(wealth-sum-so-far / total-wealth)
" T8 s, t" l, h$ G% p \ ]. E$ m" y0 n. S+ g! P5 `
, C3 q9 H& P* N: J( }; Z$ r" Y set-current-plot "Gini-Index v. Time"9 y' H: O0 R, n2 E4 h" f) J
plot (gini-index-reserve / num-people) / area-of-equality-triangle9 b) y- N- f1 X
end4 G3 J' G, P5 A# V7 u$ q
to-report area-of-equality-triangle
0 ^7 e1 \4 y' z1 G/ m report (num-people * (num-people - 1) / 2) / (num-people ^ 2)1 R* T s; f' M9 C# T
end |