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( A0 O, u& ?4 d, O# wglobals
, `' d9 o$ N5 ^8 W) z- D. f* R[
9 q4 N0 R: x# F) A max-grain 7 U; _; j0 d1 x& ?( V: V
/ N9 W% G4 b3 b4 X9 |) G
]& G1 Y1 l& j1 c. l
' s4 u7 G5 O, z Q1 ypatches-own
1 s2 b7 a, d1 H/ D* x! C[! @! ^* ^4 \. j8 r! ]! e) l5 z
grain-here
* R& o2 b* `, {+ F& w! ? max-grain-here 6 b; ~( N- S3 k7 M
]
0 X! R5 ~- k C2 w& [( z) W
: G3 @ s6 _9 U" D% D r5 j. cturtles-own$ S* K- T% Z. M& {9 z) W/ p2 p/ x
[
( w y$ m+ e) G7 ~. @7 U age 4 y' G; \! l5 p( d; c
wealth 4 o3 E2 ^+ h1 z& B
life-expectancy 6 S9 ^8 g) r! O( B/ R& y
metabolism
/ o6 M% u2 C# I. C vision
& E/ i' _$ T* n' }. \, B inherited
. f/ U- s. {7 ]! t9 O5 b) b]
9 I, D' M* e" ~# {6 y5 `" ^( e. q) C( [% A
" t" w* e/ n5 C6 U9 t" D' Rto setup
+ {7 {7 s( i1 Q2 ]; X/ }+ U$ f* ` ca
; R2 Q. V7 w$ z% \ set max-grain 50& l; C8 B4 c. {( I
setup-patches
8 Z3 s- e) l* o3 G! F" s2 Q' h setup-turtles
$ A6 \3 `$ I% i$ B# c z$ w& l setup-plots
: `: F) n0 T. p% i* ~8 Y update-plots
; d3 A. |* w% Q2 t0 t2 {end7 s" G- e' Z" B, y: z8 k
to setup-patches
% y% {8 O2 V2 {' g: r ask patches
+ i4 m: w) e' j9 j0 E: d8 R [ set max-grain-here 0
- @$ N$ N1 S$ L" F5 \) I if (random-float 100.0) <= percent-best-land8 f0 j, ~* v) q' P
[ set max-grain-here max-grain4 q5 v0 s/ t. R
set grain-here max-grain-here ] ]" l2 B4 O/ J$ t2 z; a
repeat 5
) z6 X8 O% _' u, ~# h5 \ [ ask patches with [max-grain-here != 0]
; v$ A- O6 ]6 w' N [ set grain-here max-grain-here ]! ^- m; K9 G# x5 d- C) d
diffuse grain-here 0.5 ]4 h8 O; V( n2 s! J( z5 z* l& D' E
repeat 10; z. ]& J( C2 v' @9 e+ H1 ^7 g
[ diffuse grain-here 0.5]
' Q2 s6 x% s; v4 B ask patches
/ L) L) Q/ ]# m5 X- D0 Q, ^+ @ [ set grain-here floor grain-here - g* P' k( K$ O2 X# e9 H- P
set max-grain-here grain-here ! C( D: ]/ D2 i0 C. a) v
recolor-patch ]$ f5 i* O( n9 c+ h$ U9 G1 L
end" i$ E# }' n' W4 H2 y0 b* Z Z
to recolor-patch
: d: n' }! p5 X& W1 g set pcolor scale-color sky grain-here 0 max-grain( g, r t4 q5 Y/ U0 A5 Y2 w' r3 N
end. o w* p2 Y" v* ~- q
to setup-turtles
; q: [$ J0 R- b set-default-shape turtles "person"% _/ r7 h5 L* j$ [
crt num-people9 y$ e. o+ C2 }4 s' ?4 H
[ move-to one-of patches
7 E. y( C% z8 d3 q) e6 v. `$ Y set size 1.5 4 F A& L& k+ a2 X- `, n# E. ~
set-initial-turtle-vars-age
: P. _* e0 l+ V) B- [) B set-initial-turtle-vars-wealth T6 l1 v, d( r; d$ n3 g7 F
set age random life-expectancy ]$ D9 X! ]2 w1 J& [
recolor-turtles1 G) `) z" }$ x' ~% G5 s
end
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! C2 j$ x: z" g9 Y: [. u2 \/ x: Uto set-initial-turtle-vars-age
# U! M! B. V, r! a let max-wealth max [wealth] of turtles- t! B' a: p \) K+ B" g* X: {
6 |6 E+ T$ |+ R1 z, T1 \
ifelse (wealth <= max-wealth / 3)
; z5 z2 X9 F, G3 F k! ]" D" K6 r) Q [ set color red
- f3 I. G4 N2 [% \- D) j set age 0
. S N8 u* o, m/ |/ ]# X; {4 ` face one-of neighbors4 ' R+ R I! ?/ `& Q
set life-expectancy life-expectancy-min +
$ c) s0 w& r% Y5 J5 s random life-expectancy-max
% B. O. \6 v4 p$ b set metabolism random 1 + metabolism-low9 o% H& T& t, L* F$ j
set wealth metabolism + random 30
! Z7 n$ S7 g5 s0 ]% p set vision 1 + random max-vision
- P/ J0 b% I8 E9 s set wealth wealth + Wealth-inherited-low ]
V5 m4 X& o- Z7 R8 A [ ifelse (wealth <= (max-wealth * 2 / 3))# p* V9 D' ~ J M( ~
[ set color yellow
1 V$ S& g4 j/ ^+ ^. o set age 0
& _4 K1 z; O; x% a) ~( x face one-of neighbors4
6 q9 R. a1 e. O set life-expectancy life-expectancy-min +- ? P% Y# c' }
random life-expectancy-max + 15 ^, \# }4 j# Q( O$ d
set metabolism 1 + random metabolism-mid( C ?+ n6 ~/ s7 d1 B b9 {
set wealth metabolism + random 302 o7 `: H; u+ Y: t6 O: ?
set vision 3 + random max-vision3 {6 F0 n- x: s$ L
set wealth wealth + Wealth-inherited-mid]
2 P) A4 n! P* a2 N [ set color green 5 y6 A# U- C6 y, `3 K: T
set age 0 h, S0 _8 ~( t* x* e, n! _' [
face one-of neighbors4 % t! D+ h. ]9 @* P
set life-expectancy life-expectancy-min +
0 g: w% @; W% O( x, \( c* K random life-expectancy-max + 2; L% Z2 L. W. @ Z/ M, j- @) f0 k
set metabolism 2 + random metabolism-up. ~3 H- j, D/ {. {, W+ C! \
set wealth metabolism + random 30
& I7 G' Y: c+ G `& P5 ]) F set vision 3 + random max-vision
5 z7 x, n# [: j$ s! |3 K, P# i% V set wealth wealth + Wealth-inherited-up ] ]
3 O: |- \% E9 `0 G9 i3 D8 O2 C; T) B
& d4 B9 x2 j' A/ ]2 gend: e+ @5 a: O6 f( q: J
to set-initial-turtle-vars-wealth
$ x6 W' o+ l6 i( r6 M4 f let max-wealth max [wealth] of turtles
9 f- F3 L, h: X* X3 s set age 0
) T, Q1 ^& H. S face one-of neighbors4 ) s, q, x# H3 K
set life-expectancy life-expectancy-min +
8 A+ u6 U- h: b9 Q3 f& h random life-expectancy-max 3 B% q6 {& o" @: z
set metabolism 1 + random metabolism-up
+ r( S6 }# i$ M( h" ]9 S) Y set wealth metabolism + random 30
9 i$ S, a3 q }' F* F! m set vision 1 + random max-vision
$ o _8 b" D+ Q* A1 B* P: u% V7 @end% Z+ M5 x! u w# c5 B* ~
to redistribution
9 @7 ~+ P) H3 w9 }7 [7 p* x' Glet max-wealth max [wealth] of turtles6 v9 Y/ [4 ?- F8 R8 ^
let min-wealth min [wealth] of turtles5 T6 b2 X3 y7 Z& V" \8 }
if (wealth <= max-wealth / 3)" B) u7 J+ F: Q# y- N2 W$ p# D
[set wealth wealth + Low-income-protection ]
- Q2 n2 _" C- }" q1 E% C. V) Kend3 O! F' f; i' p. \- I
! K2 t5 w# g( W9 o& D# W
to recolor-turtles
, ]' O0 @' P: l let max-wealth max [wealth] of turtles; V: f* w& u. w; d6 q! E N9 q) D
ask turtles2 k* N4 ~: K2 T- I) _- t/ f' d; v$ X
[ ifelse (wealth <= max-wealth / 3)
6 V! {/ S8 E3 V5 M; r [ set color red ]
3 c* b9 U7 d! E4 o @ [ ifelse (wealth <= (max-wealth * 2 / 3))% A) k$ n4 A9 b! X4 ` s
[ set color yellow ]
+ Z A( A2 l) t) u, ` [ set color green ] ] ]
a0 V0 o% Y; P2 i2 [* } ask turtles [ifelse show-wealth?) t& N8 P' l; W! Y* Z) N- g
[ set label wealth ]
% M8 b6 b* U9 `! |! l [ set label "" ]]/ W# R4 g! W' r# o
end
3 m7 o2 q5 j' Y/ k7 o, C( U8 [6 t5 d$ R* k& D1 k
to go
! R1 t+ Q. h6 \ ask turtles# L9 e, E8 L& H6 R* J9 u( R) r
[ turn-towards-grain ] $ ^$ `% x) V; o# O) x% [$ ~" y$ L
harvest9 p9 g% V- a$ @1 K% Z; U
ask turtles
. D* P. W5 r2 T2 X5 s4 L [ move-eat-age-die ]
' o9 V& p- Y7 i, n- k recolor-turtles
) k( Y, O, i5 N1 j6 K if ticks mod grain-growth-interval = 0
6 a" o- S( }: p/ k2 A0 W [ ask patches [ grow-grain ] ]
- {3 B" X |( ? T; N: O* @. T ( T+ _# w) T1 o! q
if ticks mod 11 = 0
3 m' K( e: G5 E: m$ O [ask turtles& n, i2 r& J$ H
[ redistribution ]]
! |* _( M8 F1 h# j5 I$ T if ticks mod 5 = 0
7 U2 d+ K" K; v) z* T# Q p/ A! r2 I [ask turtles
* L% y0 i# V1 ?% }( z7 B* T [ visions ]]6 t- h; l7 s5 Y7 D
tick
! C' P/ O* H" ?. D) P. d! Q( k update-plots
& y) r: T# F$ X+ k" u- O9 Mend
0 X4 T$ L7 S" w8 P+ _+ hto visions
5 ^; P% |' v4 J# _* T set vision vision + 1
a) u4 C2 V' Y) P6 uend4 @! _0 v; Z) ~
; H/ b" u- S) Q% C; b2 N- ^
- C/ N) Y& P; H6 l" G* B! k: C! `/ c. |' i& ^
to turn-towards-grain # B; _6 _' D# Y% ]& `# X; u8 O' J
set heading 0( B0 ?- j1 h6 h C* B) S4 F D
let best-direction 0
. Z5 A3 p' y( L9 ?2 o let best-amount grain-ahead
6 V! P( x/ z0 X! f' I4 ~" M set heading 90
p c2 n9 Y2 ]) |$ H/ k; O7 g if (grain-ahead > best-amount)0 w' g, p2 p1 y% a
[ set best-direction 90
( E8 B4 Q8 e! I2 g! D' Z set best-amount grain-ahead ]
L9 o& k+ I( S3 j- T6 ~) e set heading 1801 d ^6 b! |' v j
if (grain-ahead > best-amount)4 w3 K( y) m4 Z5 C, [. _9 x
[ set best-direction 180
8 S- _0 P9 C1 ^6 L set best-amount grain-ahead ]
6 W: t* z! y- t0 ^5 L set heading 270
: H4 u- v- W Y+ x if (grain-ahead > best-amount)' H8 T3 X, ?( D$ M" _0 t5 N
[ set best-direction 270
, Q: X0 z% {. q+ a ]+ S set best-amount grain-ahead ]& t% a! f Z: V. p( Z/ _0 L% L! n
set heading best-direction
" M/ j. R6 `$ T0 Q2 x5 jend1 e+ w6 v# ~4 K4 l% P" Z; L+ _
# W; x3 i) q. x/ h- C
" |* i; n' ^, q2 u. G
to-report grain-ahead 1 T' C( E5 l1 G
let total 01 h$ \0 y2 j3 X
let how-far 1
* q7 a; Y s- S; V repeat vision
! C; P; U- K8 e5 t' g [ set total total + [grain-here] of patch-ahead how-far, x5 d8 x; o* S2 E
set how-far how-far + 1 ]/ {2 k) K- ]! F p2 i
report total; X8 e! R/ ]8 a) ]) |( Z, ?
end7 H8 l$ S V0 @
+ h. l. y5 @# _4 Y$ v
to grow-grain
, F7 C. G+ |5 d if (grain-here < max-grain-here)
f9 Y2 s- S! ]9 Y( w [ set grain-here grain-here + num-grain-grown
" D7 h; x' }7 P( N if (grain-here > max-grain-here)
8 b& Z! }, m6 v4 i3 o [ set grain-here max-grain-here ], t0 l% K: o8 X7 U1 Z
recolor-patch ]
/ k# o( k$ {3 A7 p1 k* a4 {7 j/ Pend6 V; f1 M8 R7 [8 n2 \3 h# d( b
to harvest
+ N; }4 V7 }, l! ]) x ask turtles
, F9 x7 W* V1 b) C& E# e( B }2 z [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
$ D4 W% U1 M9 ^% T8 m% Y ask turtles! y I! c3 x2 s' A$ h+ @
[ set grain-here 0
- i W d' Q/ @+ d' @8 [) h) i8 h recolor-patch ]
' h) B0 P- H; I: E : @' {7 @/ n/ d( F0 s
end# m9 u8 U4 J. Z$ h0 S
% s" u; j' P+ A6 _0 H
to move-eat-age-die ( \ k% O A. o0 i
fd 1
, d3 p9 @) [7 C5 f c set wealth (wealth - metabolism)
6 }4 O6 }5 v- l/ ]9 z set age (age + 1)
$ f0 X8 C0 |" U if (age >= life-expectancy)( I4 l; I7 D* k
[ set-initial-turtle-vars-age ]% V* A6 t( |, |* }
if (wealth < 0)4 m. o, U$ y- H& A0 w/ [
[ set-initial-turtle-vars-wealth ]
3 r8 z8 O1 R7 Y# [% k ( q% n- y6 t1 f, d% X
end1 R. s, z7 I: {8 W0 J. _
4 K, e' ?" W. }& ^, T# C C! k, Z l$ H
to setup-plots
6 P6 r$ D, \( l set-current-plot "Class Plot"5 E9 n8 t1 M+ \/ B2 y, g- d4 e& d: k
set-plot-y-range 0 num-people
7 ]' n1 G. I- e- ?1 c9 g set-current-plot "Class Histogram"
5 Y4 Y% Z) p* H; h# o- ~+ m set-plot-y-range 0 num-people
+ P& l( I9 G- O _+ h' eend
, k: i f6 j# U6 A. r% m6 Y6 I' E' I# t4 z% @- B
to update-plots
# n n; J5 z4 o update-class-plot
D8 O* h( d* x7 h update-class-histogram& b/ S4 n5 y' R/ j0 d$ l) V! c
update-lorenz-and-gini-plots3 P* Q1 P$ l# I- l7 u2 G
end
$ w1 V3 Y4 G6 \4 z" [
1 j/ [& L1 V5 d) j6 Bto update-class-plot
/ f$ X' r5 e" D' Q B7 Z set-current-plot "Class Plot"
6 ]6 \, q2 ^( Q8 R! B: g6 V. z set-current-plot-pen "low"
7 S3 ] U( X" C plot count turtles with [color = red]
0 T- H. J% E, f0 f4 p- B set-current-plot-pen "mid"
# J# J3 b* Z! X/ Z plot count turtles with [color = yellow]
q0 R5 p( j1 L |& t% G% u set-current-plot-pen "up"
0 q2 W1 G! @2 D9 d( j4 f t plot count turtles with [color = green]
0 }( r, j8 q4 v/ o2 K, O: W8 kend' s' o7 J# a+ i7 i! k6 N3 \
$ }# O' X% `2 R& @; \) t$ fto update-class-histogram
1 A5 }) Z6 b2 i8 X) t& R set-current-plot "Class Histogram"- o3 \7 F, L8 T5 p B
plot-pen-reset
3 T5 {: N4 m# p: B# k6 J m% \; D set-plot-pen-color red: }3 ~$ e2 C/ u0 j$ \2 _
plot count turtles with [color = red]& P; O5 g( L" r3 p& c, c8 g( i
set-plot-pen-color yellow
5 u+ M; @5 d* d+ O% z plot count turtles with [color = yellow]; q* x7 t% z x v4 j6 o
set-plot-pen-color green6 _7 ?( Z1 i3 O% s( _5 H$ s0 d
plot count turtles with [color = green]! X# e. ~2 }4 A* x5 k' \
end
- m. D% {4 Y6 M( z# Y' v, Nto update-lorenz-and-gini-plots) f- b# m0 B. P/ E2 Z% w! u0 J
set-current-plot "Lorenz Curve"
+ O& E0 w3 _" B5 s clear-plot8 {# a) ~. L3 i# y+ V" p
! p8 @9 i. ]. B3 F i) z, Q: _ set-current-plot-pen "equal"" y% O( b: m* m: Y
plot 0
0 A8 u5 B. @ I4 ]* R plot 100
/ I, V) b* b8 o; T/ \) @
$ h7 e$ h ~ m9 k: g& k% H$ f set-current-plot-pen "lorenz"
: {6 ~* T+ s4 c, w6 t" o set-plot-pen-interval 100 / num-people
( _' {" q! [# f" D# p plot 0$ Z: M+ L! [4 ^: V g* s
$ }0 W6 h& r0 e' M, E! ^" o( J
let sorted-wealths sort [wealth] of turtles+ G; p- h0 x7 [+ `8 d9 G
let total-wealth sum sorted-wealths0 t8 |) G# E! I1 [2 e- S/ H
let wealth-sum-so-far 09 r/ l0 i. V4 v# C7 f, j# G& h9 B, k
let index 0
- [# i7 r% C( n, h) a' r let gini-index-reserve 0
/ z* N2 x/ ?% I' ]; e9 e/ k
* c' B. c5 w1 Y7 j: ^4 ^: Q repeat num-people [+ m. R& u' L) D) }4 ]/ ?
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
9 L( B1 C+ G# v9 t plot (wealth-sum-so-far / total-wealth) * 100
1 U7 j9 _( s- m+ v set index (index + 1)
! \) C3 o% k- q) A& d set gini-index-reserve
4 ^* q4 |- q% c gini-index-reserve +
" H1 L+ z" m* R B/ m$ X7 R (index / num-people) -
2 M, J G" ], B! j( R (wealth-sum-so-far / total-wealth)
$ c# ?* `4 G. o8 | L1 N- W ]
" ]* T$ Y+ L9 n3 u. X
7 F' V* r0 G' }5 k set-current-plot "Gini-Index v. Time") H5 K7 _. c# L+ j' a
plot (gini-index-reserve / num-people) / area-of-equality-triangle
: F4 j" E/ {/ W/ z& R: Rend/ F0 _% v7 |. `6 i) A& i
to-report area-of-equality-triangle
- |9 T/ b! P$ u/ V( l( A( ~ report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
6 F3 P( z. C/ {( B! Y: F8 ?& xend |