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
T) A+ f1 |$ X! @) ] e& {% r# Wglobals5 B4 M- b% }% N# A) g
[
( \0 ]4 ^' x0 j, ?1 h( |5 U- K0 T max-grain . G k# T' T; h# ~- @; N
" @! T# m% |* H1 Q" L o]
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4 s3 ~* m) u* [1 c/ J6 ]patches-own. ]* f: |! r1 o2 a
[
4 _- h: q# W3 [/ U% F. ~ grain-here ' g% P* v/ p: b! P# Q4 F
max-grain-here
5 \$ h1 S# o' [$ G- Z( @]% X8 `6 U. R+ |; C$ H: ~. z
3 t2 P0 ^5 F0 x' V% d0 b
turtles-own6 K/ D7 g4 L0 G$ }
[
* d! J+ ^) c; j9 a age
( K s5 M# C; M9 y2 k" e9 A0 w- m wealth 8 E: K" @5 ]" U% p+ c U8 g
life-expectancy 2 [. \1 S5 \8 y' X: W6 \9 Q& ^
metabolism
* G! T6 g z3 {( b9 |/ T" w( D5 z vision. M: O$ v9 b2 K( s9 F6 _
inherited , q# Q5 r# x$ D# f3 Y( e) T
]
2 O2 P9 y: Q6 B! F0 o" s/ ?5 H
9 L5 a# \/ z+ ?5 s0 r# g- {0 d
6 t- _7 }# [* Eto setup
$ |+ |) e8 ?. @% Z* v ca/ `5 K( b8 q: m0 O( ]
set max-grain 50% `1 O# m* [! G3 F \& D
setup-patches
1 F6 W0 y* t# J- ~, d4 D setup-turtles/ O( l' w$ j& D0 ~- _7 O
setup-plots
3 j& e$ I5 |- H5 i% [ update-plots
4 ^5 @, [; O5 C/ C! O/ o+ ~# Pend. D- m4 e4 p+ m' _
to setup-patches
2 {5 Y% `" p4 z! k- O$ v) ]& f ask patches
; N0 x# h/ F) X& B. [) ? [ set max-grain-here 09 g. R5 o2 ^# J! V2 ~$ D0 ]
if (random-float 100.0) <= percent-best-land* r8 D* R3 F9 f/ i) f8 o. Q
[ set max-grain-here max-grain
8 Z' X z. J' u) ]) k set grain-here max-grain-here ] ]9 i3 U0 t) p, Z" D/ q6 m) h; e; w) k( B
repeat 5
3 Z% ~( i. E0 N$ t _ [ ask patches with [max-grain-here != 0]
( X: B* O) O& i. I% T1 U [ set grain-here max-grain-here ]
' r1 y9 v6 E4 }0 ^$ H) m$ Q& h diffuse grain-here 0.5 ]
- p) | w% r q5 ~& g repeat 10- h/ L5 H+ H- Z& T) [4 }8 u( y
[ diffuse grain-here 0.5]
6 n* {, N% d k3 Q x ask patches( T$ W% o( B: }8 P
[ set grain-here floor grain-here
2 B+ r% m. }' J2 K set max-grain-here grain-here
0 b8 y0 Q0 L- k, q: x2 t& Z recolor-patch ]
/ w6 V4 D, q) G$ q5 O/ v/ ^: ]2 kend
; }' G2 c- P7 R6 x# l; j/ ^/ kto recolor-patch ( D. C3 p8 A5 q! b0 R5 K9 _4 z
set pcolor scale-color sky grain-here 0 max-grain, @' Z* r @8 X$ a# u' q9 p; |
end
$ t& h7 H' i, Y( qto setup-turtles' Z- g2 u! }, O; e- t3 A0 V5 N
set-default-shape turtles "person"
, U/ F( T0 X3 V4 w- C3 W crt num-people
' p4 y% q7 P( u+ Z [ move-to one-of patches & J8 l. m& H5 S
set size 1.5
- ^- [4 ~! _" f" d- w9 h set-initial-turtle-vars-age! O4 n* S: ~% J' W+ {" }
set-initial-turtle-vars-wealth/ G8 {5 s5 ]* h& Y* `
set age random life-expectancy ]
, I% e. w H8 @" h5 a C recolor-turtles0 y1 J! B! l: t& O: x, l
end q6 j; j" |, X+ R5 ^) m( o5 M$ C+ s8 ~
8 n6 t5 p) P V* r' c" e" F$ Pto set-initial-turtle-vars-age
7 `4 J3 o2 U: g7 U- a7 |0 P let max-wealth max [wealth] of turtles2 Q& j) V: O# H& D
% D) u& t2 z* [" d ifelse (wealth <= max-wealth / 3)
/ X( G, }7 X) H/ Q! X S [ set color red 7 [% z. ^4 L4 D
set age 0
Z" k+ I7 l* W( @: b face one-of neighbors4 E1 b% }1 A. F+ u% b4 M1 }
set life-expectancy life-expectancy-min +! d! a8 }' S* r! K! y! e
random life-expectancy-max 2 U7 p! x8 o' _3 Z
set metabolism random 1 + metabolism-low
$ q( e& f7 l& z$ v- b! D* C$ w set wealth metabolism + random 302 ^9 Y' C' }* L# t
set vision 1 + random max-vision+ j9 I+ P: P: A6 ]) Y. g6 s1 x- U
set wealth wealth + Wealth-inherited-low ]
; O8 m0 o# i6 b N1 G7 r [ ifelse (wealth <= (max-wealth * 2 / 3))
4 K/ q6 g% e; G5 e' d* g [ set color yellow + M5 Q, R' L' z: ^5 S( E
set age 09 D# v- [4 I5 S# x) a) w
face one-of neighbors4 , B8 Z( P" K; J) T
set life-expectancy life-expectancy-min +9 {! ~5 d6 s9 c3 O+ J1 I2 E8 V0 [
random life-expectancy-max + 1! ~# S6 {2 S1 `; ]$ X/ |6 d
set metabolism 1 + random metabolism-mid% L; u8 }7 w7 P: w: t A6 `( y' E
set wealth metabolism + random 30& B B h1 d% N; o% @$ k
set vision 3 + random max-vision
1 e; q+ M( x1 A. ` set wealth wealth + Wealth-inherited-mid]9 _5 n0 y. q! o. v* t9 T
[ set color green 7 {1 ]2 s# Y, x6 _1 P& Z- w
set age 0
O+ i" @6 j" U$ O7 k face one-of neighbors4 : K N5 \+ ~0 l& i D# _' l
set life-expectancy life-expectancy-min +
" ^9 g" i$ f `" y random life-expectancy-max + 2# X P) A' C: z' p5 k+ H6 ^
set metabolism 2 + random metabolism-up
' ` E U2 @6 T4 a0 Q$ H; X set wealth metabolism + random 30/ n1 _: E& A8 |, d* l
set vision 3 + random max-vision- F. [% f& o: r5 f1 o0 Z. _8 D3 k
set wealth wealth + Wealth-inherited-up ] ]
1 k6 E9 A' F4 f/ t9 {1 k' l0 P ; p! Y5 }" f* l8 L
end
" ]( ]$ A8 `6 E% }* }; b6 tto set-initial-turtle-vars-wealth
5 M7 \! [- L+ @/ c2 f h3 }3 d( ` let max-wealth max [wealth] of turtles
. M" s V5 x9 @! i! C0 p+ J; g3 h set age 0$ D5 S) x7 d% X4 C- c; c
face one-of neighbors4 5 `. i$ J5 S6 r0 R! m# b
set life-expectancy life-expectancy-min +" X$ g' K! y: `9 O4 |9 U" H
random life-expectancy-max
7 i; G f3 L0 v) r" W7 J( @# c5 H set metabolism 1 + random metabolism-up
) }: l4 _- Q4 u' ?2 l set wealth metabolism + random 30
* w# e3 f9 w1 E8 C2 B set vision 1 + random max-vision % }+ R# I r: `) h! A0 k
end0 J- [$ }1 J$ _( R
to redistribution9 ^- l) a2 z, f, V8 N+ l" e
let max-wealth max [wealth] of turtles, I: q& \! F% v6 G7 Z' I% H6 W
let min-wealth min [wealth] of turtles
2 J' v, W* q* Nif (wealth <= max-wealth / 3)
6 _4 Z8 M* |# v& G0 K1 Y% i [set wealth wealth + Low-income-protection ]& Y& j' [7 y. R- c* ~" o
end
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to recolor-turtles" \7 w( v/ @7 S. n" _: x0 l
let max-wealth max [wealth] of turtles/ g. E- K- ^5 P, u: j+ t
ask turtles& a' n9 @8 N9 C- ^/ }9 c# ~
[ ifelse (wealth <= max-wealth / 3)! R8 j% k5 x* }: ^6 N5 \- o0 N
[ set color red ]. E* j; f4 p$ I5 Q ?
[ ifelse (wealth <= (max-wealth * 2 / 3))# v- l" d* }2 Y
[ set color yellow ]( D) b0 b! d( J5 \3 O( |
[ set color green ] ] ]
2 Y9 }) z8 n5 n% b4 ]+ H- x ask turtles [ifelse show-wealth?
; S g% _" Z( t. w$ v [ set label wealth ]
! |/ M' o( ]+ \1 y! J [ set label "" ]] g& @( Z$ ~0 t% B" [4 H
end
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9 O6 V. s9 D& U: y" {! H. [to go
2 G& J+ s; w+ H ask turtles9 N' P9 Y5 D' \5 \
[ turn-towards-grain ] 0 H1 h; l! K$ B }6 K5 T* i; h
harvest: Z" E/ a: l/ L6 }4 u: l
ask turtles& f8 W8 Y5 W; d9 |1 z3 x \
[ move-eat-age-die ]
) H# x$ w7 k0 e2 G- y2 B0 O recolor-turtles! U8 q/ p( y' |3 O$ E
if ticks mod grain-growth-interval = 0- r0 s& [: N, G' i0 q& ~0 |0 ?1 P
[ ask patches [ grow-grain ] ]& H/ i l% C5 M5 t
. d7 ~, l( L) ?( R0 J) C8 n if ticks mod 11 = 0
* ]; K' r3 q% g% D- G [ask turtles% I2 e. r2 o( _
[ redistribution ]]$ J3 y* y- h5 J& H: Z
if ticks mod 5 = 0
7 P6 I) J4 N; b0 r8 h: q [ask turtles
. L1 O4 c; A( V) z; i8 H7 K [ visions ]]9 L( A$ h6 n' L4 w m
tick+ m v( ^+ @4 K3 ^. O
update-plots
: w1 w# r( v% h7 q6 M- I+ F2 m5 aend
7 e) `) \; h. N+ I6 n y+ ]to visions
# @2 q- J) E5 x& B set vision vision + 1 9 a' r$ g/ }" J! {/ N* m
end7 w2 ?. `% ?- m1 `4 ~
1 J0 ~$ G2 d8 s/ t6 ?2 U @* _# f0 m
% Y6 F& X; M; T2 `
1 v' d ]* X) @# n6 rto turn-towards-grain - ~7 L) p, \+ Y+ B
set heading 0, p W. O5 Z5 U; F
let best-direction 05 t, ]. Q8 l% R% F( t
let best-amount grain-ahead% Q3 G& w! p n8 L5 ?( R: V0 H
set heading 901 Z. B- i/ w& M8 l5 @+ p8 m' q
if (grain-ahead > best-amount)9 ?8 ~1 r. A4 B
[ set best-direction 905 z6 V4 n- P* d9 W
set best-amount grain-ahead ]
7 w! j6 x: B1 ~$ L3 b) H set heading 1807 Z1 I: Z5 m! v% r
if (grain-ahead > best-amount)* j8 R* b* u% |
[ set best-direction 180! M; S" e- I4 x' g
set best-amount grain-ahead ]
7 O9 ^# u8 F$ ]4 D set heading 270" }; E" @" A, v( l
if (grain-ahead > best-amount)
- e0 S: s6 V7 T0 v5 B [ set best-direction 270
7 w, }! l6 j" V, P& J8 U) M- U: t5 j) I set best-amount grain-ahead ]' @* Y6 _" y' x
set heading best-direction
3 @0 u: s2 k; u" y3 p, Z4 tend
. F/ z( `" c$ @7 `8 p( I7 t
+ r( t6 i- K+ ~' j
+ r) V' t) Z& I p) Q+ {to-report grain-ahead $ `, G( k4 J% f; K% ]
let total 0
% S5 {# l1 b4 D# `0 s let how-far 1
4 R. ~9 ^' ^) x& a6 X! q repeat vision3 c: W9 V5 J" l- Q. i5 n
[ set total total + [grain-here] of patch-ahead how-far* ]+ p1 Z: L# `$ K% D' n
set how-far how-far + 1 ]! K0 L! W, w; b) f) T1 t. f
report total& t! G+ ~! i! t# p' f4 n& l: L
end, H) Q- e, v2 _; R0 r
8 v7 M- Z% u: A7 C2 ?! }1 ^7 M: qto grow-grain
: g% m7 {3 y! {/ g0 [ H9 o3 r if (grain-here < max-grain-here): I, g3 h/ z8 Q1 F9 c
[ set grain-here grain-here + num-grain-grown
" T* m. Y: e- Y2 N) [# G if (grain-here > max-grain-here)
% J: H& `6 _' W5 o9 u# j [ set grain-here max-grain-here ]
8 E0 h' f# q& o! U# n recolor-patch ]
) N! t2 C9 L4 `/ [0 p! Hend1 q" Q+ Y4 Y( k/ E
to harvest
" H6 K8 |. q1 M. ] ask turtles
( ~* f" X7 n* s5 X [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]( D9 _% i/ O. G
ask turtles0 F) r2 T5 T8 ?. f4 D/ L$ `5 {, d% _) z
[ set grain-here 0+ j& ^4 j5 N8 g& w$ k- j
recolor-patch ]
/ G9 O$ O! J1 ~+ [1 X ' M- q3 A3 M6 B
end3 _* \% c8 G8 j
1 ^! |2 o' ^1 w
to move-eat-age-die # S$ T/ g' H' F+ h( f
fd 1
2 f1 Q. `- k, o3 l4 D: y set wealth (wealth - metabolism)
3 ]6 w/ o( N9 \! x0 x' T+ G* k( Z7 w set age (age + 1) ?' m, x$ S* N1 T6 n
if (age >= life-expectancy)
" D5 ~) M6 h: h' U+ _% I8 R [ set-initial-turtle-vars-age ]( Q- x7 M* O4 ] K% O& G Y
if (wealth < 0)5 [4 m/ Z4 |7 }: H/ K* C% n
[ set-initial-turtle-vars-wealth ]
& D2 B+ O4 S$ y2 z ; I& D. }3 M0 F9 o+ R( D" V
end" M0 Q$ s4 D" F! n) a1 i! m6 o1 H
/ ]$ ?: z) V! N, G* ~3 X! z
/ y; E$ q* h; ^* d
to setup-plots
, e- r# K2 A) H* `8 C& J6 r set-current-plot "Class Plot"
+ k. ~% H1 ]3 H0 _ set-plot-y-range 0 num-people
. X( ~- R- Y& k% `, f7 e, X set-current-plot "Class Histogram"
) `$ K& T& Y1 } set-plot-y-range 0 num-people
- _& T" s* j+ f" }) \end
2 j* F' q: m J9 T
" d' s% T: b4 o/ C9 |4 Jto update-plots
* R4 J x5 F8 v* t9 J/ p+ e update-class-plot/ m; E9 [# h1 Y' x6 r
update-class-histogram9 e, w/ x/ n- Q% U1 z! t7 P) o1 S
update-lorenz-and-gini-plots
# N- {. R+ y. A, m6 wend
; Y3 S' w$ l- U- q
! J. Q$ \: A; Vto update-class-plot6 D% L! f: j( S6 Y! b6 ], `4 r
set-current-plot "Class Plot"7 J; v- k9 w( ]2 G g2 l
set-current-plot-pen "low"
4 k; W6 [2 W7 h: Q9 n* v8 m plot count turtles with [color = red]
7 c- S5 m1 F. E& w set-current-plot-pen "mid"
( h' x2 |% g; e* b/ {; J plot count turtles with [color = yellow]- A( u. f N- c) \1 r8 |
set-current-plot-pen "up"
1 U7 r1 `0 H y# M( a4 Q& K' m plot count turtles with [color = green]
7 w; ^4 g7 J- M* F0 }) K zend) |0 j- r S9 Z5 T: H; |- e
1 C( d I8 r/ ]* v) u: W0 l! T
to update-class-histogram
8 O% p0 o5 ]! M8 u7 T! y3 B* g( _ set-current-plot "Class Histogram"% d* ? E3 L8 K* A
plot-pen-reset
$ Z2 U/ c* }; ?9 }' H- A set-plot-pen-color red; J$ {' \0 I- v
plot count turtles with [color = red]& M0 K% v1 v5 _0 {5 G
set-plot-pen-color yellow0 S. x7 v0 b Y
plot count turtles with [color = yellow]
3 w/ n# ~; ^5 L. ^1 I6 f: ` set-plot-pen-color green% }" W* ^; G1 \, U, x
plot count turtles with [color = green]
0 t5 F* V( k, E+ T7 L( m E" vend* A& |3 v' ^' r% X# F) W" m
to update-lorenz-and-gini-plots) G- V7 e& w W! [( `8 A& _4 f/ h
set-current-plot "Lorenz Curve"
$ _; n' {/ o! i0 }' f m9 u clear-plot! a6 `- V8 v/ B
3 u) ^- K8 f, o( q
set-current-plot-pen "equal"
6 E) ?$ Z2 G1 X5 W- l plot 07 c' m0 D7 {9 c6 d$ V; Y: }4 w
plot 100
3 |8 ^; ~0 z$ H( _' r+ M- s3 ^/ y4 ~4 C* y+ P& V i p
set-current-plot-pen "lorenz"
4 _+ V- ~/ G/ B+ b3 _ set-plot-pen-interval 100 / num-people/ t3 W7 H, {! a2 d3 p9 [& u
plot 0! ]* ]- K0 u; v/ {7 m2 @& h
2 H& J2 z' j; U4 S% ~" ^- z: v5 T let sorted-wealths sort [wealth] of turtles
* ]# Z- y; ]4 u8 s2 J+ t let total-wealth sum sorted-wealths
2 a9 {2 J% |* N+ z# k let wealth-sum-so-far 0
, }0 Q. l( ~4 n& C2 b let index 07 h! P9 \# d' j8 q7 [4 X
let gini-index-reserve 0 |0 O$ c0 m7 r' a( q
8 c# t( i6 `: h8 m, ~) _# ]* V repeat num-people [3 E6 b4 b3 w1 {5 O
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
" @+ q, z' W! @7 u3 a1 f5 d plot (wealth-sum-so-far / total-wealth) * 100
6 s5 n" v, j: I/ Q; ^: z set index (index + 1)0 v# i: S$ d3 j/ P- `) I0 @) W
set gini-index-reserve+ {3 Z' L- D9 b$ W
gini-index-reserve +0 p% H: Y9 z& c6 W2 |' q
(index / num-people) -2 _/ S5 d" I4 A, [! W8 l
(wealth-sum-so-far / total-wealth)
, g* ~* r) j* x+ x ]
( h$ a3 F3 b8 X2 I" e. F& Y( H) z7 A: D* X+ @5 [% `0 e1 N B
set-current-plot "Gini-Index v. Time"- ~ p- U8 F: E3 ` E2 t
plot (gini-index-reserve / num-people) / area-of-equality-triangle
- `' }0 H1 F5 u$ V7 o9 X% mend2 f7 C* c, }3 \3 S4 t; o' r- e
to-report area-of-equality-triangle
9 Z% }0 J9 n. I3 m report (num-people * (num-people - 1) / 2) / (num-people ^ 2)2 }7 _; u; }! z* C2 [3 x. z* ~
end |