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
. C5 _2 t2 I$ R: x& e% rglobals) L: B) Q1 y ]4 K1 @
[7 B" G% B3 @( F
max-grain
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]
* ^6 U+ y! }& |) l0 Q
8 v& @( Z1 c/ w( T; E, Ypatches-own. n" k2 e( S: I5 \3 n! Z
[5 y; U) n+ g1 n
grain-here
8 U' S. e! V4 A# F" i. A max-grain-here 6 [% {& N$ T8 i( w# |
]4 _ A I8 H- T, S8 I2 J. ^; G
3 X4 x( d- n+ P: L) s
turtles-own8 e4 D4 G# i- g4 }2 g
[" k, U( D5 J9 h/ P
age / c3 N: E) P# w, V# n. M! U- \
wealth
4 F* w2 u2 i0 U ^' ^ life-expectancy
# J; |1 @( |, M( g1 f2 _, Q( d# T metabolism
7 A+ p8 l C+ M- P vision, d6 n7 J4 P2 J5 x, s
inherited
0 F2 [% U5 a2 l4 k8 x( `]: i7 U- w" k5 A& s
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4 `8 L9 g b% E- J: r: ?$ ?) t
to setup
g: x0 x' |& b) e2 d1 G0 U7 L ca; L1 H+ ^4 ~7 B
set max-grain 50
- j" ~- z3 s8 g5 @0 S setup-patches
+ O$ A% V' I) h setup-turtles) M' E. l3 r* [3 A
setup-plots j6 i; D# A) ^) Z
update-plots
+ c$ b( ~1 M; O4 ~. t) oend( E$ m3 v$ M$ R/ f& G
to setup-patches2 i! J" }5 x3 J+ N7 K8 z# R
ask patches
8 \* t2 @ q1 d6 L [ set max-grain-here 0
% H. \) M4 G% D5 @( z: I9 j' f7 E if (random-float 100.0) <= percent-best-land! P. m- O4 V) a4 W) {* ^
[ set max-grain-here max-grain! t+ E% d8 B- A9 K+ Q6 E
set grain-here max-grain-here ] ]
7 k: Y+ M) W) V8 f# x repeat 5
- r8 Q7 W& O. e1 U+ _. s [ ask patches with [max-grain-here != 0]
1 E/ E. U2 r( {8 |" }3 n [ set grain-here max-grain-here ]
6 U0 [# e( N4 Y" R8 A6 d diffuse grain-here 0.5 ]; Y. I1 {. F/ ^4 \+ Y( w" _
repeat 10$ m8 C8 I' p4 f2 c
[ diffuse grain-here 0.5]
7 @2 f' L H; o% v G4 V0 [. K ask patches! r& S" K) v8 |* o# M
[ set grain-here floor grain-here ) k0 A H2 v" a9 x
set max-grain-here grain-here
$ J/ Z0 f, S! O( m* P recolor-patch ]
- b- ?6 l% @/ g" h+ |) T/ p# P( dend7 S6 E2 W; c" \3 [
to recolor-patch % L2 T% W4 l5 C7 z
set pcolor scale-color sky grain-here 0 max-grain
2 X3 _* M: Q, Y) Eend
$ U- S2 C1 p% ~" q# U nto setup-turtles
2 {: d* w4 o O( f1 r+ C set-default-shape turtles "person"% m" | ? A# j
crt num-people4 K: ^; g% I5 K; K; [/ Q& q$ |
[ move-to one-of patches
" x4 @: g1 _1 N D set size 1.5 ; K! m" n) n" m1 l( ?9 ^
set-initial-turtle-vars-age4 a9 ~& L; p; W0 [# W
set-initial-turtle-vars-wealth
- r; }+ A7 R3 [5 B set age random life-expectancy ]
3 S- T+ k7 Q; W- x6 h( y1 z0 D" S recolor-turtles
4 o7 v, n' e `" Pend
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to set-initial-turtle-vars-age8 w' T# u, `# p1 ~8 u
let max-wealth max [wealth] of turtles
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& }5 x1 p/ U& E% p/ D4 V, [- v. E ifelse (wealth <= max-wealth / 3)
. E5 u: [1 L# Y2 h0 ^4 O" a2 q. y [ set color red 9 ?4 G2 B. w2 J: Z( A' O7 \
set age 05 X1 ^) s; ~8 A1 A$ g7 a9 F9 J0 i$ @
face one-of neighbors4 . B6 A0 |# d9 G# O* A7 L' @
set life-expectancy life-expectancy-min +
2 y r3 O- I3 G( g. z9 i random life-expectancy-max $ `( ^' A8 Q' j0 l. P
set metabolism random 1 + metabolism-low
2 n- N) y. |" C8 r set wealth metabolism + random 30- Z& x T/ C% f. X$ l+ O' e
set vision 1 + random max-vision
# ^8 \& j+ a* X) K: A& u: i set wealth wealth + Wealth-inherited-low ]
4 x' x' u' }- A [ ifelse (wealth <= (max-wealth * 2 / 3))
8 ~: d/ s. E2 p) P; R: d& c [ set color yellow : _" y3 J# V }* }% v0 C! ~+ Q
set age 0
- L, L7 P( ~' R# ]# Q face one-of neighbors4 8 b: \0 \; O9 F, i9 G
set life-expectancy life-expectancy-min +6 d: V0 h" z& V
random life-expectancy-max + 1+ K# d2 c% }% s
set metabolism 1 + random metabolism-mid
/ O+ @5 j6 P* F+ I: f9 ` set wealth metabolism + random 30
' j2 {$ n3 A M/ ~% B1 Q% ? set vision 3 + random max-vision7 u1 L; i( ^, {
set wealth wealth + Wealth-inherited-mid]
; w% m7 Z( R- F7 S2 y D0 n( ^4 [ [ set color green n8 ]4 y" \' y/ m
set age 09 `6 R" t* \* l/ U* U
face one-of neighbors4
& O% |# x4 H7 n, Z set life-expectancy life-expectancy-min +* v- k0 O. V9 K! g2 R0 `
random life-expectancy-max + 2
3 C8 _, }/ Q) ~5 I9 s, x! Z set metabolism 2 + random metabolism-up. T1 o6 |9 T) n6 }
set wealth metabolism + random 30( E4 I' p& k; ]4 z& Y
set vision 3 + random max-vision A' J' ?/ u0 f' Y) h& z
set wealth wealth + Wealth-inherited-up ] ] 2 j$ L+ i/ C; F! u: g
: B: A" a2 \% c2 I* X. tend1 n% c Q6 V0 M& _
to set-initial-turtle-vars-wealth- `) x; r% p K5 O! H, P( {- I
let max-wealth max [wealth] of turtles0 v" j4 [9 l6 h
set age 05 x" Z4 {0 Q$ ^5 _0 R, D
face one-of neighbors4
3 m. ?) u/ M" T; {4 o+ P set life-expectancy life-expectancy-min +
' a7 @9 M) x4 z- b7 R% [ random life-expectancy-max
; H8 X: F2 J* h0 a: ^) b set metabolism 1 + random metabolism-up
; ^* y3 d# E5 |! A, D. [& p set wealth metabolism + random 30
L2 U) I7 L& v1 {# b- _5 C- a set vision 1 + random max-vision
" g* w4 j. H1 ^: E' m% ^, w1 oend, O S1 p1 c) k O- y( k% c
to redistribution+ F7 |: y# b) E0 T# ]
let max-wealth max [wealth] of turtles
, \% H2 U! T& j) i# |- V4 R7 a3 `let min-wealth min [wealth] of turtles6 H3 D4 o) j: t! d. S& w
if (wealth <= max-wealth / 3)
& J! N( s/ K/ o2 I: M [set wealth wealth + Low-income-protection ]
2 o" Q( t9 W; b' z# B% I0 iend
2 ~* _! }4 `% j" ^% q* v, J / [, q% [, l9 P+ \4 q" r
to recolor-turtles0 P9 P3 B5 W* \0 y4 u
let max-wealth max [wealth] of turtles$ }9 o/ n5 Z+ n
ask turtles
! T) h4 s' p$ W! d6 R [ ifelse (wealth <= max-wealth / 3)3 J3 T0 y9 M. b/ w' h4 h9 Q
[ set color red ]- \4 m% K3 v9 V4 V; W" L" J9 K$ x7 `8 C
[ ifelse (wealth <= (max-wealth * 2 / 3))
$ l* ?+ i0 e/ Z7 J7 Q [ set color yellow ]
- b( Y2 C: r7 F- P1 v3 E [ set color green ] ] ]
% n* E- S4 o* t ask turtles [ifelse show-wealth?
3 |) }. o1 P5 l7 v9 e9 C# `% f [ set label wealth ]& S9 H: ]3 ~: Q/ P/ L. |3 e; O
[ set label "" ]]
1 y/ d8 a0 k& v7 `, s. L7 y: Fend. Q. B9 i' o! r
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to go
$ l7 i7 D" k& w3 g; s6 r ask turtles8 S( o {0 z' G, y6 F
[ turn-towards-grain ]
0 ?- A5 I6 w& i) [ harvest# q+ Q' C5 v e% A" X4 K
ask turtles: ]- f& {' p/ r$ H
[ move-eat-age-die ]+ {! k! V$ U) k' V W
recolor-turtles- ~. x* R3 c: E
if ticks mod grain-growth-interval = 0
- P, }3 e) @- V [ ask patches [ grow-grain ] ]1 q' E H3 ~/ T; S
/ g/ k7 f$ V. u if ticks mod 11 = 0
& x% F+ D; J/ J) p6 s [ask turtles
) e [ N% O- ]5 u0 x* Z; O2 B: o) f+ P [ redistribution ]]
8 h5 y8 @ R" b* m, p2 [$ V if ticks mod 5 = 0
3 y% s) _+ H$ q [ask turtles
0 L- `& p( J6 N# i8 P [ visions ]]" F! [; p5 |6 u
tick7 A/ l* X$ `6 n: x( m
update-plots
$ D" \* ^) |# B- |2 Q* F1 k1 qend
% U% q3 I" W# C5 `# {to visions" ] Y. `: E/ F8 P/ Y- q' G
set vision vision + 1
6 l; n. @ o2 y+ yend
% i8 G5 d8 [9 C" q/ I( ], W
; w$ R. j; T& t3 L6 M' m8 H! W7 T* A9 t# x1 ]" u/ h& M/ M
" [0 o, [ K, i/ c4 N4 \
to turn-towards-grain " ~9 o! ?6 w# y/ I" U( F
set heading 0
( U- k% W: g. T2 Q! k let best-direction 0
. q% m; }) C( Y7 \! c: Z let best-amount grain-ahead
+ B0 a- z5 L! d& a- g set heading 90& {+ y! l' S ^7 w% g" R: r
if (grain-ahead > best-amount)7 B# R R) l2 y5 W) S/ C
[ set best-direction 90, P3 P. W. r3 {9 J8 e- b
set best-amount grain-ahead ]
5 b1 B# f+ E E7 s6 Q set heading 180
7 J+ |% b3 o- p. s% f' D- J" k! H if (grain-ahead > best-amount)% a* k2 E* M/ x- F+ {
[ set best-direction 180
" e' F# i: X6 s% E, _3 y set best-amount grain-ahead ]
( E6 C6 K- i: l! y set heading 270$ k0 U" Y" L0 G- e* o
if (grain-ahead > best-amount)
) _# h. Y) k* @) g+ Q% v5 G: ] [ set best-direction 270
' [% z+ O5 o4 c: }; g5 p set best-amount grain-ahead ]$ S: ~5 ^( A+ N ^2 i
set heading best-direction0 ^, P! p1 W2 Y- \, u- w. g4 b
end
, ?% Z& w; F- k+ e3 F; j: O+ O0 Z, b, e; w' ]( ^
0 G9 u E8 s- [. c5 o! \% fto-report grain-ahead 6 {% H" p0 ^ z! i
let total 0
2 }& p# {7 x2 ~: T6 B) } let how-far 1 b i8 q, y8 H$ y
repeat vision
! J9 y5 L' S V2 U5 ]' u/ x* L d3 a [ set total total + [grain-here] of patch-ahead how-far F1 j. {$ M5 s3 |# k* d l) ~
set how-far how-far + 1 ]
6 W( Q3 ]& f2 Z! i4 X report total( e! D$ B3 d( d, v( ]- p6 K( U6 X
end
9 b9 c' I. i) I) X1 m. o- i4 e
0 G8 U. \& S; s( Uto grow-grain 0 |5 p0 u( y( Y! m
if (grain-here < max-grain-here)7 g; {# [% j6 o( D; ]
[ set grain-here grain-here + num-grain-grown
2 Y2 e7 h: z3 g" `* U if (grain-here > max-grain-here)
. h# _/ K; `# R+ S/ Y [ set grain-here max-grain-here ]
& S0 @: ?/ J$ ? recolor-patch ]
, _2 w0 u/ \3 r) Cend
4 B) Z0 r$ a" v7 U( G: [ qto harvest
+ V, Q. X, c+ |4 O( B* D9 F+ D ask turtles: K; ^/ e. ]# n' [& _
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]2 c y, h, O7 x- O/ t9 ~0 ~7 w
ask turtles
4 O+ ?0 W, z2 r& j& }) u/ W [ set grain-here 0
' X: [% z9 [" S& u recolor-patch ]
3 B3 H0 n6 |. k + [8 C. S! x9 Y, p# J' K
end) Z& ]% l2 E4 ]! k' L
) }* L s6 h1 ?5 r, j/ k- Tto move-eat-age-die ! q0 u A( P O0 F" f
fd 1
4 ?8 n2 S+ T" d; |9 `% I ] set wealth (wealth - metabolism)% T- A, N/ q0 Y
set age (age + 1); H& Z! a C2 q% j6 z( X0 N
if (age >= life-expectancy)
, P; q- h/ @2 o! D9 _ [ set-initial-turtle-vars-age ]
. G; Q T. F$ b( ~0 D if (wealth < 0)
0 m! }; r2 i' v7 o+ s" }, Y0 y [ set-initial-turtle-vars-wealth ]
3 Z& a! K' C5 a0 |; |, T& c # [" p8 a0 _) b2 H" _* T% {
end
) A' R$ x; \/ {8 m! x8 t
% }5 X5 E# Q* Q: C. _% W6 G2 M' T
* `4 L$ T8 C7 g9 V. Fto setup-plots5 X$ I8 ~* o: v1 r# Q
set-current-plot "Class Plot"4 i3 z6 J; @! K0 K7 o
set-plot-y-range 0 num-people- o7 l( R- [4 _! t, Q7 b, O4 a) A
set-current-plot "Class Histogram"" }1 g( \- D1 c0 \1 z9 W) ] s
set-plot-y-range 0 num-people6 {& j, @! V8 U; K0 E+ T$ o% ?! ]: n* T
end
. Q4 }/ K" S. C" y' f
* D/ d" M8 F' N. z- e6 d) @to update-plots
0 i& T2 ~; K/ `1 Y/ V1 I/ { update-class-plot
" B, E0 f. `' T: A1 N H- W update-class-histogram
& Z+ l; V( o/ C/ T update-lorenz-and-gini-plots6 e- G$ K$ h) K8 M! u
end
- X- L+ O# W" d7 u+ Z
2 W0 q/ V# B. Hto update-class-plot; p3 H/ `& f& f$ i
set-current-plot "Class Plot"
1 g& j' b* N8 E7 O3 u3 Z7 M/ S set-current-plot-pen "low"4 o6 J. H; m( _
plot count turtles with [color = red]
7 b6 ~: _4 T _+ j, M7 l7 j5 V. E5 Y& _ set-current-plot-pen "mid"
3 P5 W- D% W/ E U5 U, e2 I4 \+ d plot count turtles with [color = yellow]
, }" b* M# d% L; W set-current-plot-pen "up"' q& Y+ @/ J8 g+ p. c
plot count turtles with [color = green]
9 L' L& ~4 Y% m; V; Hend
% N% L+ X: e' U& [" Z- k
5 d2 n! [$ d5 |$ Z( y( Oto update-class-histogram2 _$ [: X/ w( i" l- |9 r, a
set-current-plot "Class Histogram"
' M7 Y7 {6 Y# @' y4 C plot-pen-reset+ }+ C: w6 L! v: j: O) m( [+ C1 g. t
set-plot-pen-color red1 z4 U, G( b) L8 C- `- n# w
plot count turtles with [color = red]5 m; b& i! z" h8 S- Q
set-plot-pen-color yellow
' ^0 A# L: Y4 y4 g& w plot count turtles with [color = yellow]
6 m1 K. q* N" Z+ S$ a% T set-plot-pen-color green6 y& ]) Z$ @8 X R1 W6 F+ U
plot count turtles with [color = green]
" N" g) ~7 z, J# C$ S% u5 ?end1 F1 T, O+ y) t/ q0 B! T6 {$ V" z
to update-lorenz-and-gini-plots. K7 k0 G. r& J" m
set-current-plot "Lorenz Curve"1 f% z. P; H9 b6 r6 Z
clear-plot- }5 e# V" Y. B. P, i1 m: t) K
+ p1 N0 S% b- Y+ ]' k
set-current-plot-pen "equal"" D* r6 [: H, O5 D" x/ C: o
plot 0
% k: [3 B p2 W, b* y plot 100
- S) q* j! j& D" Z: v5 {1 P3 q" K( P
- O: @+ T% E+ i! ? set-current-plot-pen "lorenz"
! ~) d# x6 x o" b- h set-plot-pen-interval 100 / num-people
. t6 j: b( b) i W. R* k t I plot 0. L' r5 m7 w# v
3 s6 V; F. \& l$ r6 S/ k* @ let sorted-wealths sort [wealth] of turtles5 S% B1 q+ j3 E% ?: B8 B
let total-wealth sum sorted-wealths+ X5 \8 Z7 ?- R; i0 O- X% @
let wealth-sum-so-far 0
$ B. a# m) H6 O+ t. L: S# i let index 0* w6 M+ y2 @* K
let gini-index-reserve 0
( J, h. h& J7 _" B3 l; l! T! m' L; t9 F1 x
repeat num-people [+ E! M( H' o" `( A# b3 O9 M3 L6 L# _
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)! X9 U1 r' e: j7 l! }) g
plot (wealth-sum-so-far / total-wealth) * 1006 e- I! E9 @: l+ o- u0 b H% a
set index (index + 1)
2 u7 G2 F" B( }1 w* ` set gini-index-reserve
7 ~. H$ z9 ?% t r; R; m, j( _ gini-index-reserve +. f X1 Q' Q. m ?5 J
(index / num-people) -5 S" O' H. S9 {. O: N
(wealth-sum-so-far / total-wealth)' k: F4 A) m: A0 D$ d9 L* E7 g
]
2 y5 S/ K( t4 B
' D3 ~# e- c$ i- Y) s; A% N* |2 x5 o set-current-plot "Gini-Index v. Time"
0 c; c a" Z# R! O5 s3 U plot (gini-index-reserve / num-people) / area-of-equality-triangle
# z/ l! g0 a: e/ _, j. P, N0 ?end L$ Q# S( e. ?
to-report area-of-equality-triangle
6 m8 S5 Q h' L& O# m: J& _ report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
5 c- N% F5 i6 B/ y/ U4 j$ _end |