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
7 a8 c, r0 l( u1 e5 K9 }globals
8 w4 p1 }7 R* P; Z: X; v[
7 z3 I2 i( }. b, E$ n& I! B max-grain ! i; K Q6 }4 Y! A
, W. _2 ~' @. {]+ U8 v3 b) b, k
9 J' x2 ~( l d, ^# ^" Dpatches-own8 f. F! b1 H2 h& j5 \
[$ Y# t1 j% J* r: Z
grain-here
; E/ u$ C5 Z: [2 C8 c% N max-grain-here 9 x7 V! z$ M+ J: O
]' I3 ^/ _; W3 a4 ^
, N$ p/ R. W2 F) S8 Nturtles-own
1 ^+ T5 Q2 g# m: W3 J. c3 m[
: Y' m9 Y% [# k age " ]/ p$ Y4 T# ^- ^' n
wealth
2 f: F" Q. \# D1 w6 F+ l life-expectancy
# O( F& T- y' N5 n9 A0 } metabolism
1 {$ ~% T1 C0 p: T+ x vision
0 u# v2 _+ u; ?0 n inherited
# W$ ~' G) j! ^! `* I3 F8 B" G]
* q5 {2 A V% `. Q' g1 I$ N( {2 I- x* d/ o4 `0 T0 B% ~! p) o4 M
) M5 M! ^1 a: ato setup
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0 Z' T7 j3 ^. Q) _' u" f: ^! d set max-grain 503 w b9 `' U( A
setup-patches9 o G! m- H( `
setup-turtles
8 I- x5 ]( a3 N3 K" o setup-plots
1 E3 s; {$ B' Z; V1 S, n update-plots
: `; _9 y4 z9 A# |end
' r' D0 X5 e" @- a/ [" J! A& uto setup-patches
2 l, Q# M7 p) P$ k- P" B ask patches3 j' M6 {0 U [$ q0 y' q* a s
[ set max-grain-here 0
3 H4 h* q& g u1 |. }: y# D; o if (random-float 100.0) <= percent-best-land
8 r4 P7 L. C% |- y* Z }1 K" s0 I! S [ set max-grain-here max-grain0 g9 p; p U' b# T3 `
set grain-here max-grain-here ] ]
9 e. F& \$ n( ?" s* J3 L repeat 5; ]& Q& N" h( T$ r9 G' _( ?/ H1 f
[ ask patches with [max-grain-here != 0]( W9 G4 O" Q' J( V: p
[ set grain-here max-grain-here ]6 ]# k7 M' {( |) C8 m# l
diffuse grain-here 0.5 ]
/ s# d' z+ A0 S# v: W5 j repeat 10! q4 {! p1 `( E Y5 a
[ diffuse grain-here 0.5] ' T& H4 T F# y" V
ask patches
z) l/ h/ z) Z9 X [ set grain-here floor grain-here 1 w# z. ^# ~. j8 V, }
set max-grain-here grain-here
+ L- R$ O0 [+ _: a% | recolor-patch ]: E' o0 i8 |$ \) B; Y3 ?
end
- i; D# \1 {) U1 u: ]to recolor-patch & O) i& F0 M& c9 @" f
set pcolor scale-color sky grain-here 0 max-grain. {% a$ X( ~. j
end
; s% u' N& p' K7 p# Yto setup-turtles
3 T) D& M9 y8 w set-default-shape turtles "person"
! u3 L" z+ i# I' M: O$ b# F2 _. ` crt num-people# h- e: ^9 {$ }% l, p6 u
[ move-to one-of patches
: }# ~* k& G' ^ set size 1.5
2 ]8 i8 P3 }, N' r set-initial-turtle-vars-age
; U! v" P. Z; j$ v; }8 k" D% } set-initial-turtle-vars-wealth* S: U) j7 R+ {0 _; ~* Q
set age random life-expectancy ]
/ H' C7 D7 r) N* c recolor-turtles8 m6 v* ]7 V) H5 ^/ B, p" K# R
end; w# L$ X, n; u. O
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to set-initial-turtle-vars-age9 F* q1 | o9 Y5 }1 S& f. V* l- N8 H
let max-wealth max [wealth] of turtles, Z. S# n2 @. M& o. c0 X
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ifelse (wealth <= max-wealth / 3)2 J8 S r1 q& C+ s7 ~
[ set color red # t8 B, S7 N4 K n1 \
set age 0
& d* F* t1 a: C1 e7 C* \- R7 C face one-of neighbors4
+ U# l# E0 \" R( z, i1 U$ u$ t set life-expectancy life-expectancy-min +
9 f/ G) e$ r$ k( |: l random life-expectancy-max / h P! E+ a% b$ O( w6 N8 g% v I
set metabolism random 1 + metabolism-low
, ~- r j0 A L8 M W! j) h# X4 X6 I set wealth metabolism + random 30
: n* o0 g& J! h. d' Y1 { set vision 1 + random max-vision
6 s) \- `8 ~$ P: I set wealth wealth + Wealth-inherited-low ]
6 O6 x4 J' n k5 z9 j2 b' _6 e/ w [ ifelse (wealth <= (max-wealth * 2 / 3))6 `7 J7 V" d8 ~4 i+ ~- \+ x
[ set color yellow K _0 I6 t7 ?0 X+ ]
set age 0) ]4 r) P2 ^4 G4 W7 X1 {
face one-of neighbors4 8 n6 v: X0 V7 ]
set life-expectancy life-expectancy-min +( t) h4 G( e8 _9 g
random life-expectancy-max + 1$ m* `9 s$ }" m6 l/ b
set metabolism 1 + random metabolism-mid
& q9 h( Z. E1 S% y) @) E9 ^/ m set wealth metabolism + random 30
( s" l' j% g$ i* H v9 H set vision 3 + random max-vision
+ M' a2 ?) V E- T: W: i! Y- K set wealth wealth + Wealth-inherited-mid]" r/ d1 f2 q0 Y" ?7 i X
[ set color green % `. d2 C" n0 @, ~8 F
set age 0
A, G4 g2 U0 Z. m face one-of neighbors4
9 ^4 d1 B5 c1 Z# r0 Y+ T set life-expectancy life-expectancy-min +
9 `0 v' a6 A+ Z7 C. K/ r4 \, u random life-expectancy-max + 2, d/ k+ A! u' h1 ]) a
set metabolism 2 + random metabolism-up( `; g1 ~6 Y: o
set wealth metabolism + random 30$ `. _9 N% m# }. I" Y) K/ g/ }
set vision 3 + random max-vision) l8 k8 \1 P; L- n9 L l
set wealth wealth + Wealth-inherited-up ] ] ( V. Z; L- Q8 w( }6 }) x5 l
& g5 V" ~ _2 u! Q4 @* D
end2 d' H8 \' \# {& `) f4 E
to set-initial-turtle-vars-wealth; `4 X/ |. u6 V0 b
let max-wealth max [wealth] of turtles
/ y I' n1 \( @2 Z set age 0 \% @) z5 P2 ]9 I; c) w
face one-of neighbors4
( |/ `- Z" x* M* t' I! e. ? q: u set life-expectancy life-expectancy-min + N7 a1 V {/ i- j3 M' N3 }. h2 ^
random life-expectancy-max
1 B( J: _* S$ X set metabolism 1 + random metabolism-up
- G: m X6 @. o1 p; Y# `! M3 ?, P( E set wealth metabolism + random 308 E! E7 l5 Z1 a9 w% B
set vision 1 + random max-vision & G. ?, h# I5 Z& R
end
5 H7 f3 _6 J5 Q5 tto redistribution
/ p, O" g# |6 O3 C; Clet max-wealth max [wealth] of turtles3 p5 g# M1 o$ x. N
let min-wealth min [wealth] of turtles' K# w8 Z/ ^5 l) F* \$ F) U
if (wealth <= max-wealth / 3)% u/ K4 w# J% T9 l, p4 C
[set wealth wealth + Low-income-protection ]
& ^, {8 M; w o! q* Oend( t4 l) f. K! t4 d* v
6 g2 ]1 E! V$ x* D9 ?$ Nto recolor-turtles6 ?/ H% i7 z4 P
let max-wealth max [wealth] of turtles3 V7 u4 }$ t( l2 r7 s; X t
ask turtles
0 [" B2 B! x9 X8 ?( j [ ifelse (wealth <= max-wealth / 3)1 {$ Z" y% d# M4 U. ^- ]5 E3 P+ e
[ set color red ]( W# s; b' |: h5 @3 W4 u
[ ifelse (wealth <= (max-wealth * 2 / 3))
; N& N4 L+ v* }" Q6 O% C [ set color yellow ]3 X' \! u5 [4 A5 @# w$ W" h9 p
[ set color green ] ] ]
3 u! |3 T* y* t ask turtles [ifelse show-wealth?
7 f6 D, H# U4 @0 H1 q1 P) |0 C. ~ [ set label wealth ]3 I$ N; I; p) H9 q
[ set label "" ]]) g7 S! g" R6 ?2 }
end
7 I4 ]& C5 J% a1 ]6 ? d" m) \% Q* L* u; `) j4 r7 }# Y# @
to go
+ A; I7 C( l9 b, p ask turtles
- C( O& K0 y; J& b* Q% U [ turn-towards-grain ] ; s- b5 @- g3 M$ y B+ w" O
harvest
8 ^. U; }# x6 h, t, b- H ask turtles/ P2 D3 v. F( ~7 ?. i. G
[ move-eat-age-die ], E Q* w- l+ y1 u6 B" l+ O
recolor-turtles) p: j' Z8 \3 u8 ]
if ticks mod grain-growth-interval = 0
" Q8 s3 G3 g2 Y |, |2 b' b: Z [ ask patches [ grow-grain ] ]
) x( E9 X' {( D- s1 _
) D- L8 f7 `% e, w+ C if ticks mod 11 = 0
2 G' A0 R5 N' k3 R$ V4 Y; [; Q [ask turtles0 }& R( w; D/ S i
[ redistribution ]]
# F1 e, X7 l; A" u if ticks mod 5 = 0
5 R+ E. j# f' L# K3 e4 l [ask turtles
0 ^* [6 X" n, v$ F. z [ visions ]]* p5 R3 j! }9 y' n7 i3 [. v
tick8 R; m3 `+ s4 |# \* d
update-plots3 {# g+ ?) I8 r& w; ~" x# R
end
" f5 _ S# J; \: Vto visions
6 `( u Y& A1 l1 u! J$ G- T# w set vision vision + 1
5 A3 J, T& a3 V! t/ e- m% Q! jend
6 y& V2 B q+ \6 q" t) W e2 p' c1 w; i- B
7 {# N1 Q9 r7 H: n
) t+ @5 b% K( a0 vto turn-towards-grain 9 Z( ^# e. F% @. @( q [2 [1 E$ d
set heading 0
) i5 ~0 o2 T" G, W, { let best-direction 09 A$ c9 q3 b$ C8 K
let best-amount grain-ahead
7 z+ Y- t' p2 v' P set heading 90# ?# G7 e( i" ~7 D
if (grain-ahead > best-amount)& \0 S1 @! X3 ^5 L& ^9 b) w
[ set best-direction 90" X( X D" y! N- }( {* f7 I2 `" H
set best-amount grain-ahead ]. k& R | e C3 U
set heading 180
- _6 ^2 r, P1 r/ u* G+ y if (grain-ahead > best-amount)
5 R7 u( @ m6 R" m+ g [ set best-direction 180 t# w' i0 d: j6 ]
set best-amount grain-ahead ]6 t; R/ o* g1 T: X$ @ i# f# { ^
set heading 270
$ M: y2 B' e% V) ]1 ^, W, ?% o if (grain-ahead > best-amount)
: q- _8 Y4 M5 \ [ set best-direction 270
! B6 f+ P5 S4 X2 R1 z9 F) q set best-amount grain-ahead ]# T5 |, _4 a2 T! { P
set heading best-direction9 C# o; Z: G; p& r- P
end
" l- X: `9 S0 V3 R5 ~- v4 s" J. X9 P
/ B- T0 }+ u b+ {+ _
I3 |* J6 O& x q! y1 pto-report grain-ahead 1 E* t9 `5 d9 {" @& X" u
let total 0
4 T1 H9 |8 D9 ~% a let how-far 1: z, M Z9 m: G( X6 Q
repeat vision4 h) s) D; ~" M4 r' L5 X7 g6 [" c7 X7 L
[ set total total + [grain-here] of patch-ahead how-far- x) v% B' W0 _( G2 j% I' H1 l
set how-far how-far + 1 ]
8 Y$ c4 n1 k U0 s5 c& n report total
: F: |. _" }: P" Pend
0 l, K* m' f3 C$ G( o
; Q3 J5 r2 e1 E0 r+ L4 N- G1 l- I0 {to grow-grain ! H" }' S- A+ [; c8 k! i4 K
if (grain-here < max-grain-here)
9 q. K4 m. }, k2 |7 T [ set grain-here grain-here + num-grain-grown3 q8 x" ?5 U! y* a
if (grain-here > max-grain-here) ) B3 P. `6 m8 Y- R
[ set grain-here max-grain-here ]/ q2 }$ e4 q; H7 }9 d
recolor-patch ]
( T$ B# L& x2 T7 o# Bend0 y6 `; y* i0 w' ^3 ?
to harvest
! ^, x# v5 \8 D ask turtles
2 E$ e( V P3 Q' W+ ?) r, i7 a [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
: n! g( n& K+ E+ N4 H; k ask turtles- M, z7 l6 Y; {- {) _% y
[ set grain-here 06 z+ @' n; E: ?- u; R' G1 X# l
recolor-patch ]2 ^, t* N/ C, q5 _( i& j
9 v6 y& d/ M% d. P* b
end, g+ C3 \7 k3 A2 e. j$ h: R
. w$ ^' V, e# z
to move-eat-age-die ' p6 I4 N P; ^3 w
fd 1
2 F5 _" T/ O5 `+ J& H) B set wealth (wealth - metabolism)
/ f# e9 R2 ^0 ?+ e' U set age (age + 1)# y# N0 p2 F) ?0 Y0 c: X& j4 o) y- |
if (age >= life-expectancy)
4 T, D8 o0 j* b [ set-initial-turtle-vars-age ]2 `; S- c! o3 x& |% r7 D
if (wealth < 0)$ \' q$ V2 s! `
[ set-initial-turtle-vars-wealth ]
2 B" D+ B2 n; g8 X: ? C F; Q8 a 2 a& O4 l# `* h* r7 C" p
end
" E. M# B! R0 {( {2 V6 Z( S
" e% @ K& C# y0 v. ^* z, {' N$ {8 Z
to setup-plots, t, `4 v3 E& C+ q# ?$ o
set-current-plot "Class Plot"
2 r$ c: |5 ]# D set-plot-y-range 0 num-people' V7 z! w" @* o) y
set-current-plot "Class Histogram"3 m& d$ e1 P1 e6 [, e) z5 a
set-plot-y-range 0 num-people! V& X2 v4 \! }( i
end( |9 i3 s: U, V0 E0 u. I4 S' X; T
/ e5 f( }2 b! u3 V* s! Q1 y
to update-plots+ d& o/ p3 f& U! B0 d
update-class-plot
9 }6 A1 _3 c( W" i& X$ c update-class-histogram( P- c% V/ X9 j" e
update-lorenz-and-gini-plots
# V5 V5 W' W4 y9 ^end
& m1 n* O8 f" y" k. T% [; U$ u) H$ a; t. H/ M" z' v6 K( X
to update-class-plot
3 d. \6 f* S$ f: @% t4 d9 P0 D set-current-plot "Class Plot"
$ `# N3 b1 b& V0 p0 c set-current-plot-pen "low"
1 y- B5 U4 h- I& L9 v plot count turtles with [color = red]# S, W: U4 e$ T
set-current-plot-pen "mid"8 ]6 d; C' X* J4 Q# J
plot count turtles with [color = yellow]
' J9 t8 U1 v1 n2 g% K0 O. C8 |( X set-current-plot-pen "up"/ }& A$ X7 b3 |7 \
plot count turtles with [color = green]
, I! T# _6 L- D0 f) |- b0 vend" M0 k5 F# _! D* ^* @2 @* R! D& G
: j) z6 r& v2 x; w- `3 P( \4 ?$ z
to update-class-histogram2 W- U9 r# F& a( c6 B
set-current-plot "Class Histogram"
- S. k3 X& d- E1 n* L plot-pen-reset E) u/ k' C8 d0 e3 I
set-plot-pen-color red
! h* d* p$ u; ^+ I& k- w- ~ plot count turtles with [color = red]
0 D8 |8 w0 b! X8 S1 o2 B p# x9 f set-plot-pen-color yellow5 Q; o- x( ]2 g/ j3 e8 z
plot count turtles with [color = yellow]# Z$ o' i/ f% S6 g- s1 K
set-plot-pen-color green/ h. |1 H0 e2 n0 ~
plot count turtles with [color = green]( D+ U, u5 u. y, y8 N4 L
end$ R5 K+ w% r% B; [7 A' H- b
to update-lorenz-and-gini-plots
! ]: K' q4 m3 y$ P1 [) {1 y set-current-plot "Lorenz Curve"
4 P# R- I+ T: R4 i) y clear-plot
R; z! x) {* h4 m/ m' ^
6 f# l3 M7 f8 t) A( |; V set-current-plot-pen "equal"
0 O! [: @7 ^& f/ K2 H plot 0
$ f) O Y# b7 u9 q- l plot 100
/ Q7 b/ |0 G- S6 L$ R' a
$ I, J" k+ o) O9 F( j& s5 [ set-current-plot-pen "lorenz"6 I4 U% J# g9 n6 N
set-plot-pen-interval 100 / num-people g5 o a; s; p+ t, {$ @
plot 00 N W) C" ?$ H! |: L4 b( L
" v, a+ c1 M' g) L/ k3 y( y4 O
let sorted-wealths sort [wealth] of turtles* {/ ?& w9 q' r5 U9 ^" J
let total-wealth sum sorted-wealths! G `( f* ^5 W0 d
let wealth-sum-so-far 0. ]) @! C. r y0 b# N
let index 03 g( I; D* u z" a# |6 E6 ^
let gini-index-reserve 0$ F! _8 O& B7 b% H
0 n* ^) u7 Z0 l3 r' w* i3 M( l5 ^
repeat num-people [
" z9 [ @* Q& O9 Z4 d( m set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)' ^6 T, h& ?$ [ H' X4 B
plot (wealth-sum-so-far / total-wealth) * 100 h. y* Q# |( ^
set index (index + 1)
5 N4 N# D( E f& g/ s. h/ | set gini-index-reserve% L' U, u; I$ k" g* r% C0 n5 [* V7 @
gini-index-reserve +
( o8 h# t9 I4 A- h5 n: u (index / num-people) -; e& i! z! c8 q: h5 I$ r
(wealth-sum-so-far / total-wealth)- F' e" R I4 ?6 k
]* p! F3 u' {! k- k2 l7 A
. B: U! I3 V" x7 y set-current-plot "Gini-Index v. Time"
& u' q( m9 e9 ?* C plot (gini-index-reserve / num-people) / area-of-equality-triangle
. I. k# h4 g2 Q3 Cend" h" D+ [: r' d0 k
to-report area-of-equality-triangle
- e: }: j8 l( l2 W report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
8 {6 `- A& _+ U; i* p! r+ @end |