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
% l& |* f$ f5 `* h0 T1 m+ oglobals, ~/ N$ B" z6 _: ?
[
0 V6 h% q2 U7 v) s7 G max-grain
; x3 c5 r1 x5 D4 c* J& `) @" W5 a- \8 B5 E+ u: w
]
) C. x7 S6 L) J% q2 z1 A) l& p- ]! e- d; Q% {9 U8 R+ q# k! T
patches-own
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9 U. P- B$ N' w! O4 e; A2 k3 d! y grain-here ) t% C) \0 ]& O1 k
max-grain-here
* Y+ r" {. H' a]4 q3 U# e( k0 Z% D: O* H
" _+ n" w2 ?# b3 n4 Aturtles-own
* d+ c a9 Q1 v( O7 N7 ~[& m8 e- w0 D2 r8 [: ?
age
0 b* O$ g, ^- S9 C3 e wealth
1 S b3 y+ ?+ b% _. A life-expectancy
+ g [+ l7 p, X3 @2 V metabolism ( R+ ?! |: a; Q! p
vision
6 D- H( y5 p. J0 y' j; b inherited & z# d `* l/ Z' O* ?( f& g
]9 U, G, O% o4 ^4 m. f
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1 }( s, k& s/ I7 B7 W: _
to setup
$ A- V: c8 _( x" P7 w ca
4 D6 h9 Z+ Q1 B3 X9 U3 z set max-grain 50$ s0 y0 U' ~! Z. R, Z, Q
setup-patches' }, p9 {( q& ?2 T' s5 c# `4 t0 W
setup-turtles' C6 ?' L8 @, I; b, {: Y8 `
setup-plots
7 [+ D" L* n) a; S update-plots+ \# `2 F5 T3 R \3 v8 K
end
+ N1 n+ e2 U m% j8 T1 `4 z# |to setup-patches
4 r+ f2 d, [0 T6 @ ask patches
+ `/ L; I- @$ I& d [ set max-grain-here 08 I2 ^+ U; S {$ |
if (random-float 100.0) <= percent-best-land
1 m7 M+ i" |/ E0 T5 y [ set max-grain-here max-grain
9 r( B- s3 ]3 V' S1 g& p( | set grain-here max-grain-here ] ]) o& k5 n; m. `" s" O" t
repeat 5
5 A. D; R9 K* t9 w3 i) c [ ask patches with [max-grain-here != 0]
5 B) o! O* G) m( j- _- p5 B [ set grain-here max-grain-here ]9 B( `8 f) a" |& E# e" [0 _: f' ~7 o
diffuse grain-here 0.5 ]
/ G, \/ e; k4 l- s/ z5 Q8 A2 e6 p repeat 107 n) a2 f4 C; a' c# M( C5 Y) I
[ diffuse grain-here 0.5]
7 R" w( z6 A: u! W4 j ask patches
) n6 V' {& y. b! A& w6 P [ set grain-here floor grain-here
6 q5 b0 M4 Y! O& u* E set max-grain-here grain-here
9 h+ j. Y& j5 R7 r recolor-patch ]
1 ~) a- Q8 A q0 K# qend
/ k$ R6 a' g% D' F! }" K* {to recolor-patch $ \. W/ o3 D* p$ z5 l6 j4 k, z3 s
set pcolor scale-color sky grain-here 0 max-grain
: A3 d! U5 O; B$ d' _end
& r9 M& D3 G9 }/ }$ A# x5 Eto setup-turtles
& {( ], U8 c, i2 B+ c/ s/ h set-default-shape turtles "person"
8 {6 i4 M$ ~: c& E6 y* @& j" Q# g crt num-people
E2 i7 B/ T# t2 ~ [ move-to one-of patches ( _7 t6 K8 i0 {7 g( K
set size 1.5 ( f# a: P7 o" \( Q
set-initial-turtle-vars-age6 N `! I1 t5 m
set-initial-turtle-vars-wealth
, b) J3 Z! u H- I# X set age random life-expectancy ]0 S+ S( L: ^) W$ `2 R6 R
recolor-turtles& X h7 o$ I1 p6 K) \
end
7 K( P( | ]6 m8 P1 U1 l
. i! |/ A3 n- ^1 Q5 O- G, k( Mto set-initial-turtle-vars-age. Q8 N7 Q9 O0 I5 g
let max-wealth max [wealth] of turtles
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3 y: K! U8 ?1 z4 o( E9 m7 A ifelse (wealth <= max-wealth / 3)
0 j4 L5 h4 d* H [ set color red ! J- f( I* Y& a) ?$ S
set age 0
7 B: @' c/ q& j9 p% @" U face one-of neighbors4 $ R, P! E, n x9 w
set life-expectancy life-expectancy-min +
4 b+ T' I4 T! ?( T1 F2 X( D0 a7 o random life-expectancy-max 6 b v, C* W# R3 u! ]5 T5 S* F
set metabolism random 1 + metabolism-low1 L% L* n m$ Z6 l1 Y+ Y
set wealth metabolism + random 30
# s: `) g- ]2 Q4 w/ v1 N0 E set vision 1 + random max-vision
: u: `% r. ^* ?$ r set wealth wealth + Wealth-inherited-low ]' q3 S8 L, G4 m* V8 ?
[ ifelse (wealth <= (max-wealth * 2 / 3))
, S% u3 ?% g, M k [ set color yellow " |1 Z( m5 W$ c
set age 0
2 O1 J: U% q/ f face one-of neighbors4
/ l- i0 @% w; r; n2 ]$ C set life-expectancy life-expectancy-min +
: k' S" g1 d, U9 L random life-expectancy-max + 19 n% x8 c( x% [2 I
set metabolism 1 + random metabolism-mid
7 g0 |6 u# _1 o9 G3 y9 M set wealth metabolism + random 30& R7 k6 D4 |. K% |5 j. V# B
set vision 3 + random max-vision
; P( g& E p9 B# b+ G set wealth wealth + Wealth-inherited-mid]
N" p. L% @1 g, r1 q. A7 S [ set color green
& f* f( X7 o0 B# F/ `5 _7 \ set age 0
% H- T4 S: ?9 r1 p% U" u face one-of neighbors4
3 R4 a5 `# \/ |) K set life-expectancy life-expectancy-min +
+ T% W8 l7 G& ]0 ^: g$ ^/ o random life-expectancy-max + 2
9 L! N% n5 i% \6 x) S( t2 ^ set metabolism 2 + random metabolism-up
9 g7 g4 T$ T' m% i8 k0 k set wealth metabolism + random 305 B. Q( m6 ]7 C4 N$ i9 t( t# h1 `1 W
set vision 3 + random max-vision
, L7 B% @( J0 u3 `$ V set wealth wealth + Wealth-inherited-up ] ]
9 y$ h& F U" b R" f. k0 Q . h$ e7 @$ _6 u& f2 }0 O' _
end9 M+ \. N M& C% A; B% j
to set-initial-turtle-vars-wealth
" [8 J* y( U# r% ?8 e/ H let max-wealth max [wealth] of turtles
0 b8 N1 J/ d p# e1 {$ I2 K set age 0
' t5 b! w1 n0 |0 h* l+ F9 n face one-of neighbors4
$ g1 m' Q0 m2 g; J' {$ l2 R& ]. k( m" o set life-expectancy life-expectancy-min +3 G, P3 n& G8 P: u0 n
random life-expectancy-max
; |, T: J5 T- }% Q [: m set metabolism 1 + random metabolism-up0 q. Z. X9 R3 X0 s
set wealth metabolism + random 30
9 `' e( w$ Y' }+ h set vision 1 + random max-vision ; {1 m2 A: Q$ `1 q* ~
end
+ `. b% | W a+ E* _to redistribution
0 [3 e- ? T! F) llet max-wealth max [wealth] of turtles8 ?( |( A" q' s% J
let min-wealth min [wealth] of turtles
) u( ~ Q6 _% Aif (wealth <= max-wealth / 3)
' g: x2 q' [. i/ K$ v( A [set wealth wealth + Low-income-protection ]
) |& T% B( [8 N+ K0 J% d. K/ a" ^end: M/ b6 X6 z, v
: Z4 h% \3 |: Uto recolor-turtles, B" @& O, E) ]! B# B
let max-wealth max [wealth] of turtles
$ o6 k3 S* {7 o' |5 } ask turtles
7 h1 y' o/ N' Q5 o8 o2 O [ ifelse (wealth <= max-wealth / 3)
: T+ E" O, E- b& v: f* D [ set color red ]6 ~9 u- i9 I) B. X0 n
[ ifelse (wealth <= (max-wealth * 2 / 3))- j) h- ]% i# R
[ set color yellow ]
" o* D- y1 E# E7 {0 X [ set color green ] ] ]
9 |- d' i7 ~- K1 v: B8 {" Q7 }6 d, } ask turtles [ifelse show-wealth?
, O5 X: i: t% ^' t" S. ? [ set label wealth ]5 M( e8 d+ m6 Y5 q
[ set label "" ]]
! F/ E) U* }, |. tend7 P. a) F: B7 s* `2 ~
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to go
1 A5 K/ k' ~6 l8 k5 o" n. |* N ask turtles( `. h4 ], G, B7 w
[ turn-towards-grain ] ]$ ?( N* R6 |0 _, `* Z
harvest
5 z9 Q( V* K2 c v+ ?% u l ask turtles. b; I. Y1 N' ?; u/ j5 h/ m( d0 C
[ move-eat-age-die ]
" P* t0 U+ F& T recolor-turtles5 N3 ~7 h# E0 h2 e5 n" g7 ?
if ticks mod grain-growth-interval = 0$ H2 t. Z: h* [4 o1 [
[ ask patches [ grow-grain ] ]
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if ticks mod 11 = 0
" @+ l7 g: ~0 N" _$ Q [ask turtles3 S+ k% I+ O- M6 Z( X0 Q
[ redistribution ]]1 s! N K1 p. T
if ticks mod 5 = 0% x5 D- x. G. v3 q
[ask turtles( w0 }4 a/ _. [5 Q. L# _
[ visions ]]$ c. G% B' o- C/ R
tick
" T& F7 l. R, ^- L; q6 m @ update-plots
7 N, E: e0 F: b5 d3 @; ^: M0 j bend
3 F( F; C2 e& P9 p, Z1 p% C! }to visions
/ e- v& h! R) A. p4 @8 B) l set vision vision + 1 5 U- a5 G8 B" T- B4 l" @0 i4 U
end* X- Y, v% P$ E0 V
1 d0 ]4 Y" Q: t; l8 u4 E; b% T
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K5 ^/ {1 F5 T/ Fto turn-towards-grain
% Q/ S- N2 }" N& o" x' d set heading 0: h8 w! l R& W% j9 a
let best-direction 0
) l% }5 ~- u5 y" d let best-amount grain-ahead
h( T1 [, G) ] set heading 90" A9 w( G) r, a& {' c( d& i5 d% B
if (grain-ahead > best-amount)& u1 E1 V4 q E; Q/ s1 q
[ set best-direction 90
2 H, \: Q9 Z+ t, F7 m8 m; { set best-amount grain-ahead ]
7 e8 D. d' G5 H1 q' v set heading 180
) C) h/ @# T5 `' T, W P( _9 ` if (grain-ahead > best-amount)
6 x D& A q( n6 W" f8 b [ set best-direction 180
' @6 @2 u. c' u! V9 E# v1 T6 h set best-amount grain-ahead ]0 O: \+ A; }( c; q4 U
set heading 270( N* e/ R* Y$ s6 x6 ~: f! K" w
if (grain-ahead > best-amount)4 m# m6 S$ F/ ^3 I: X) R8 _) @+ b
[ set best-direction 270
j5 v! O0 u' L/ T set best-amount grain-ahead ]
% n- _6 \2 n5 I% o% F$ M0 e set heading best-direction5 ~6 ~9 G; J- ^) N9 ^% t
end% G" ]5 l% G$ m9 v7 m% g
7 F' D; r1 g# ]# U$ g6 @+ b7 ~
( o2 c" U* k, ~: Vto-report grain-ahead
g R+ h- B+ c4 }% P1 |/ v( L let total 0% c7 F" Y7 n! N
let how-far 1
& `% w# Y5 w' t repeat vision
4 c4 T8 t O' K2 L7 K6 d [ set total total + [grain-here] of patch-ahead how-far3 l: \6 z' k3 J" b9 r7 \
set how-far how-far + 1 ]
; T$ a- D3 w \5 U$ J report total
_ f& [& `) }6 D" M# W9 q% Kend
. l# ?) N; I) x" e* `7 w4 T% v1 D8 q2 y B
to grow-grain % _' S; `! R* ~" p% _8 C6 C
if (grain-here < max-grain-here)) [0 m3 g" Q! ~7 s" Z: e- V
[ set grain-here grain-here + num-grain-grown* v- n& h/ ^0 G% M# J( T
if (grain-here > max-grain-here) / g ^9 Y' u! z7 ^5 G4 T
[ set grain-here max-grain-here ], s) g7 V1 W6 V; P
recolor-patch ]/ g7 }! p% p3 N, n( Z
end" |2 n% G9 r# a8 j% m8 ]
to harvest" E5 q! n6 e7 a& u3 S# r# O* \
ask turtles) n* r q) o3 V$ y: Y# F& [
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]5 W) {6 i! o3 o1 }, k8 x
ask turtles
) I5 r5 x; U" J$ _7 R [ set grain-here 0; B5 X4 t: j+ h7 Y+ f8 v
recolor-patch ]
1 m/ ?- L q5 a+ s* ~; U6 W. k
6 P7 c ^! I1 T- _& Fend% h3 J. G! O0 l3 r8 A
$ w8 @3 k, d: `0 D4 m
to move-eat-age-die
8 u. \3 w! r9 h5 D" Q5 J+ y6 w" d% x ^ fd 1! g. g0 [8 K& D3 X7 G1 p
set wealth (wealth - metabolism)/ U# [% V; a6 r+ P! F- b9 H' B4 ?' r
set age (age + 1)$ P1 m" Q0 Z9 t" E: N, [" X! A& M1 S
if (age >= life-expectancy)
4 g2 o4 V( z6 p: o [ set-initial-turtle-vars-age ]
) J7 H |2 e+ {+ p ^ if (wealth < 0)
# x! \# M) g- p- j [ set-initial-turtle-vars-wealth ]) a1 S, h! {' U( C$ t! v0 Z
* {# h7 L. ~, r! w7 j
end- W& i: j; c" j" ~* g6 H
. o6 y, p y5 ~4 F/ _8 L: u
' n" \+ e% W) C o3 G- c8 j
to setup-plots
5 n5 P7 ^# `& }/ w set-current-plot "Class Plot"
/ T$ U9 {& B# E* V; O- |+ z8 q set-plot-y-range 0 num-people9 e2 Q6 s: X1 A5 `1 {" G
set-current-plot "Class Histogram"+ h* I$ x6 ~$ C9 F4 y* d4 X" u
set-plot-y-range 0 num-people6 u- w4 V# n* o
end7 {- ]" s* R5 _' U. E' ]
) M# ]2 y% ?# Ato update-plots; L, y2 O/ \ r/ |
update-class-plot) u" N7 O5 A1 F* b1 i- O/ S! ^
update-class-histogram7 o ]6 ^2 V# c9 ]8 d% q9 B
update-lorenz-and-gini-plots) J b: Z. `2 R* W2 W( U, q! I2 L- S
end
7 u$ e7 L% H1 d) l7 f" @% p4 _) ]
: `; ~2 A8 a3 ]0 P* pto update-class-plot: \+ E! ?! o' ]1 j
set-current-plot "Class Plot"
: B0 {8 ]+ l; }# v* ] set-current-plot-pen "low"
4 K! a: U1 X1 n3 P5 `9 J1 p plot count turtles with [color = red]1 [: d/ [8 @. H' b- G. X' y
set-current-plot-pen "mid"4 s5 v8 _7 H; o0 e1 Q* |! w
plot count turtles with [color = yellow]0 k4 t" w; j1 v( ?& v" E
set-current-plot-pen "up"; [/ f+ G9 V( Y. E' K1 O* y* G
plot count turtles with [color = green]
* L7 \. C7 P1 s7 r# \0 Aend
+ n# T1 g8 h* _9 H' U7 d+ y- Y
, U0 B: { o* m+ f* qto update-class-histogram* p/ h" h( a, K1 w5 k& f
set-current-plot "Class Histogram"% z' B2 Q/ k% {* z4 A
plot-pen-reset. j7 g, I8 M- v9 K m2 ~0 s
set-plot-pen-color red
/ R+ h, \. e! I- P% b plot count turtles with [color = red]! n2 A3 I# E4 g4 E; c. T
set-plot-pen-color yellow
% ?0 p9 W- |$ m; M% C V1 o plot count turtles with [color = yellow]
% Z0 q H2 ?/ ] set-plot-pen-color green, r* l" E6 W4 \3 ^: {) ], Z2 |! l/ }% r, p
plot count turtles with [color = green]
3 w% t9 S9 ?1 \! Nend
- G& K/ K) N3 N& a, |, ato update-lorenz-and-gini-plots2 T' T0 a* Q- S- n6 U
set-current-plot "Lorenz Curve" l7 U2 Y. h) s2 m |
clear-plot9 D. F" c. @& h- x
5 L8 l, d7 k* E% w" M
set-current-plot-pen "equal"( T! u/ A1 F+ }
plot 0
( w5 ]4 h z% W5 A& E* Y plot 100
u6 S. p U5 E& u5 Y) ~6 ]- w, c
) f/ B2 n# b+ G' o set-current-plot-pen "lorenz"
5 W$ D2 @; `7 I2 k set-plot-pen-interval 100 / num-people! c2 K! c0 n% G& \( ?; I1 H
plot 0
9 I0 u. f( N0 E3 j- r% y& i5 a! I" V& B* e! u9 ]
let sorted-wealths sort [wealth] of turtles
2 r0 n3 \0 z# m! E2 m- h0 Q- S let total-wealth sum sorted-wealths
; p$ x/ o% ~: Q7 ^: I$ X let wealth-sum-so-far 0
" T f3 @: D1 F. t# N let index 0
1 U4 t* ?. w4 `# T let gini-index-reserve 00 s3 P5 b: V8 j, v
, |, q: F2 T$ _1 M8 s; E% | repeat num-people [
/ r9 D5 a, h3 H3 \! L& Y, e set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)7 h7 R. x4 l0 e4 n3 v
plot (wealth-sum-so-far / total-wealth) * 100
1 X) {) l4 f! ]- d! H set index (index + 1), [# N! Z4 C6 [2 P" X1 W, z" r, `! Z
set gini-index-reserve! w) }2 J9 \9 {
gini-index-reserve +
6 L# Q" q( c' E. f (index / num-people) -
' I6 k4 c: ~7 c I* a' g (wealth-sum-so-far / total-wealth)
; k7 M' D5 m* x6 J7 ?! X- v* X. ]8 n8 z) [ ]
& H: r3 h5 T4 S2 {( e& w! Z) v- i6 i3 G; r
set-current-plot "Gini-Index v. Time"
8 I% ^$ A/ E: F5 T6 K+ H; L2 d plot (gini-index-reserve / num-people) / area-of-equality-triangle
5 v0 P* `, B4 Y' G; vend0 t2 B3 z* J. [
to-report area-of-equality-triangle
/ d& ]8 Y6 i9 C' l1 }0 J# v report (num-people * (num-people - 1) / 2) / (num-people ^ 2)) A8 M* a- R6 t: y# C7 m! z0 s5 [$ T
end |