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4 v9 N5 u4 J7 E5 n, h8 O
globals3 N3 H" {' ]5 g$ k5 n
[ E5 C8 {2 J0 o" p
max-grain + N$ L2 J. q$ P& d9 p
# R$ m* e& k6 M! o" a9 u]
' B6 r0 b# `+ F7 M4 t$ t4 n# [" ^- v; c+ T# A
patches-own
" z2 C+ O0 V, Q$ G. z[. ~8 U# ?+ q x' r, F2 o
grain-here % k# x' z" o5 C7 W- v. `4 E! Y
max-grain-here 0 k( P& U; c6 e# R0 b4 ^4 @4 y9 c
]
% E6 b' C" ^! @ {' G6 V* ~$ y$ K. d+ ~; C4 x2 h; s3 I& [: E
turtles-own
0 I3 h k, r& B( f* e2 l[
" I% q4 F4 g" @' `4 o age
6 I' i9 s% g; D+ i P" ?+ L6 i wealth
' ?5 [" O0 R! v2 n: W life-expectancy 0 h" g9 N. G% [) L9 c9 s
metabolism $ I- f) n* O5 h$ m
vision
$ q- l) G; L9 Q$ w% ~ inherited
' K* J1 Q8 k% H] Y- s& j7 I' h/ {! m
/ n$ z, N6 W4 }
0 o1 A7 f4 p: u0 Z2 {+ q! X2 [
to setup. [0 `4 O$ q% A4 c5 D. |; {) ^
ca
: g q+ e6 r# V+ }2 x, t set max-grain 50& _) C: W" ~- \" Q, z1 x
setup-patches2 X' o' V$ ^! V! |$ X! k
setup-turtles
Q1 [+ h# {' I6 x) p setup-plots
: D8 ]) r8 f1 Y0 Z$ A update-plots9 z6 U1 N$ m8 W' I3 S$ p+ {
end
7 M4 s# j% h, {3 v: Sto setup-patches
5 ^5 ^$ B2 J- q- F! G0 k# F ask patches
0 [9 v5 m/ D% Z5 @# _% F5 q9 t [ set max-grain-here 09 x( U: u4 S0 K9 ~
if (random-float 100.0) <= percent-best-land
* M" P, \8 `$ V6 n& C3 K [ set max-grain-here max-grain( j+ \, L* {, K
set grain-here max-grain-here ] ]
4 e% J; x4 B" I, P4 T: ?+ U repeat 5
u! W/ e x! | [ ask patches with [max-grain-here != 0]
' Q8 p+ c% m) h4 y2 U5 C [ set grain-here max-grain-here ] x& _+ l3 R* h; h/ _ S/ X
diffuse grain-here 0.5 ]3 F6 P4 g0 `* [- K; X
repeat 10& @# R% M; _& K# n) V
[ diffuse grain-here 0.5]
8 I& _4 B. z& s, q, F, I% g* O ask patches
" I- T+ u9 c* k+ Y, d [ set grain-here floor grain-here + J" S" n# m/ S$ D. T& R
set max-grain-here grain-here
" X4 K: @( H0 l: i- h' c- p0 u recolor-patch ]" [6 _, K+ N4 s. _/ h! b
end5 J, M% p: B" X( s, @' S; q# X. h
to recolor-patch
, D. J( P1 ]2 H$ @ set pcolor scale-color sky grain-here 0 max-grain
9 W7 [6 T5 u# H: send B, H9 V* f/ @- ^
to setup-turtles( Q6 M$ u0 F7 K
set-default-shape turtles "person"( P) B$ J* E1 l& n" b( U/ M- v
crt num-people
- }2 a, Q: m J1 A, X [ move-to one-of patches
' L/ j P1 h. O, V' X set size 1.5 ( f5 Q3 I# [0 _ i; X* v
set-initial-turtle-vars-age ?" U* T. Y; y3 l' f
set-initial-turtle-vars-wealth" \# d; K3 N5 b
set age random life-expectancy ]! u3 D9 ?4 n) x9 o" ~, [5 i
recolor-turtles
) r, e: m7 p, S% F# o2 ^- ]" Pend g* g& X- a! I/ E( L8 y
( {0 X }. z5 z. I3 bto set-initial-turtle-vars-age
0 e$ S# i* @9 e2 W6 q let max-wealth max [wealth] of turtles0 p, {: X" d0 r, L$ N1 e
: u7 i; \2 N/ b( X- G; b' Q
ifelse (wealth <= max-wealth / 3). e1 _% j2 U, F
[ set color red * c4 E; m7 Y; R/ r0 p1 a
set age 0# m4 H7 o( h @# ]% Q* E7 ^+ y: e6 N
face one-of neighbors4
% H. W. A: m' p% K1 M" F2 A6 a set life-expectancy life-expectancy-min +- n7 f5 i6 S6 t, d( p
random life-expectancy-max
) f2 C% P/ e! Y7 o9 Y9 D$ [ set metabolism random 1 + metabolism-low8 r9 z! R* u, e
set wealth metabolism + random 30( J( l4 R( R3 D* Q2 f2 J, k0 ~
set vision 1 + random max-vision
9 j6 e$ `% S K set wealth wealth + Wealth-inherited-low ]
8 o# N6 I) b+ L [ ifelse (wealth <= (max-wealth * 2 / 3))+ z9 W9 S1 g0 ^9 x
[ set color yellow
) m/ {0 }' B7 |% V set age 05 F; ^ J5 i/ c' N3 | Y9 p
face one-of neighbors4
4 Q& J' Z% `% e* U set life-expectancy life-expectancy-min +
+ h0 ~( A4 c4 ?* J random life-expectancy-max + 1
! {3 e- Y/ p$ U0 }/ {' F2 o T7 V. V set metabolism 1 + random metabolism-mid
( S1 ^3 E" l9 Q5 l" U* w% w set wealth metabolism + random 30
) w, g. |0 d& E7 N9 ? set vision 3 + random max-vision. v7 M" \7 A. r0 U& _0 q
set wealth wealth + Wealth-inherited-mid]7 ^) Y5 J9 n! t& d
[ set color green
$ y& I' I4 |) p: {/ d/ s set age 0
! J; X2 U* j S; a face one-of neighbors4
3 S1 v4 l" Y% ?! A2 c; f3 v& Y+ s set life-expectancy life-expectancy-min +
4 f% Y- q; [1 s$ U, ~ random life-expectancy-max + 2
+ S1 m( q! n% v# t( q set metabolism 2 + random metabolism-up- W$ o1 n1 g' w# Y; ~) h
set wealth metabolism + random 30
$ F3 z& Z- s. T( Q" l/ R set vision 3 + random max-vision
) Q2 M7 {9 s6 M" @9 Z: Q6 Y set wealth wealth + Wealth-inherited-up ] ] 2 t$ e9 B8 A. N0 B, x0 X
2 P/ P9 _! O4 m1 A) qend: L) r9 j6 L/ @
to set-initial-turtle-vars-wealth
- I; L" r4 C& S+ W: |3 p let max-wealth max [wealth] of turtles1 w1 e4 r* u) \1 E) t
set age 0" v/ g1 L7 }, I+ Z9 F# A2 s r, Z
face one-of neighbors4
6 n2 V2 M( D. X% R, @* C set life-expectancy life-expectancy-min +! H1 D6 h7 D& F: u% _
random life-expectancy-max ' N( R# U! \! J& U
set metabolism 1 + random metabolism-up O: q8 Q+ a& y8 [$ S) k
set wealth metabolism + random 30
$ s) G" D5 R9 t) U& ~$ ] set vision 1 + random max-vision
# B8 Q9 V9 D* \# E7 }! P5 Iend, G; e9 b5 U& s# ]4 u9 U2 j0 ^# Z
to redistribution. V0 h) k4 W8 h1 y
let max-wealth max [wealth] of turtles M6 e' {) F1 o% j `0 r4 a+ T
let min-wealth min [wealth] of turtles0 v9 L+ t7 q' t: R4 p
if (wealth <= max-wealth / 3)5 d' [5 V1 B d
[set wealth wealth + Low-income-protection ]1 u) _ D) C. _/ }+ m
end
2 q% ]- g1 }6 ]8 n$ r+ Z
2 E1 ?2 E" n0 I8 p5 i- i& |to recolor-turtles8 @+ R9 r6 g, E6 B: B
let max-wealth max [wealth] of turtles
( i, ^& H% X. U* T% v ask turtles) N* x; C! e9 }8 B b T
[ ifelse (wealth <= max-wealth / 3)- E+ l; M @ D1 d
[ set color red ]
0 C) |+ Q4 m( E) i [ ifelse (wealth <= (max-wealth * 2 / 3))8 N5 Q0 a8 V* _4 l& _# R
[ set color yellow ]
( N$ B! o( C3 M) e [ set color green ] ] ]& V5 a: m D7 x3 A
ask turtles [ifelse show-wealth?
5 q1 e+ y3 p1 P: `* W2 ~; {2 r7 Z [ set label wealth ]0 m7 D6 y4 v9 m" Q8 d% ~0 |! _ b
[ set label "" ]]5 H% Z6 H+ a2 o; {9 _1 d0 U/ O
end
! `- c, j5 g7 q% T" @0 t( y( X1 s9 Z7 L6 O, j; g/ X
to go
+ g/ `0 ^. J; u# d ask turtles
; e5 y3 E1 a) R7 t [ turn-towards-grain ]
2 `/ k U9 L7 a/ s& J/ | harvest! d% x& J6 y; D+ x( H
ask turtles
- t- \) @* a# o0 H4 Y0 X [ move-eat-age-die ]% q, E& R/ O/ M$ b3 \& S! T
recolor-turtles
8 S7 [2 x/ T% ]6 e- q- K3 U3 G if ticks mod grain-growth-interval = 0) F6 ^. [$ S( B g* T
[ ask patches [ grow-grain ] ]/ B$ a: Z/ e; E
. w, a. ?7 E' V8 f: U3 N! X# ] if ticks mod 11 = 0) M3 W6 F; z- \8 U. T3 p6 \
[ask turtles' r+ M) F5 E8 K$ h+ x2 F1 F E b
[ redistribution ]]
$ I- I# i `# l2 [ if ticks mod 5 = 0- j5 q% T7 Q" O( @' C* V
[ask turtles/ G2 s$ B/ @* I7 Z
[ visions ]]
0 d# Q" V7 K l- `) K$ v$ e6 g tick9 ^8 G" N' W' j# F2 G6 b
update-plots
! H8 @8 Y3 D. l9 f# [- ?end2 v: d* G7 r8 l& I- [
to visions
2 K- H ?) i6 d0 a* |" N& B set vision vision + 1
- {: A, {1 K6 c; h# X/ nend
5 j) o: r! B' m7 N& C" [7 l9 O( ^" @2 D! r! t7 i4 b* c7 r
2 W- _! Q& `5 W# g
+ [1 I- P- y' ~to turn-towards-grain % _- g& B5 E: p* {1 C1 }) N
set heading 05 F. N2 S2 Q( t
let best-direction 0% e/ P1 _" q% b
let best-amount grain-ahead
( o5 W$ \5 z5 U/ |- n" X# W set heading 90
# [2 ~ k1 a6 m2 d if (grain-ahead > best-amount)
8 o/ G+ |7 [+ @0 |3 F# _) P9 ` [ set best-direction 90
' _9 h; i# p- `& b4 Q, z set best-amount grain-ahead ]
3 B B* i( _$ Q" d& e2 w' {/ } set heading 180
: q! T8 r& [- G3 X if (grain-ahead > best-amount)1 K2 m+ c8 @$ r1 l( p5 f6 y2 F
[ set best-direction 180
. Q' w7 p# o' y9 ^ U' E( t set best-amount grain-ahead ]
$ {3 m0 O6 K! K6 f: X set heading 270$ Y; C- {1 t3 _; J, q
if (grain-ahead > best-amount)
0 U8 y" u7 t- p. T( P. d s, j [ set best-direction 270/ A- D2 y; M: p0 A; R7 s) g9 ^
set best-amount grain-ahead ]0 r* p: o# ~! d$ R* P
set heading best-direction1 A# l) L9 F) M" Y) m
end
! C; h/ `4 O$ p& M* u, v6 Q) W0 [1 Y4 P
; M6 M5 s* b! oto-report grain-ahead 2 Z5 @7 `5 I0 e1 w" D
let total 00 e# j. d f7 c' _% s3 g
let how-far 1
2 P! I$ R; p5 l+ m5 g g, { repeat vision
Y2 ~- d: N4 W3 }7 _; f6 Q [ set total total + [grain-here] of patch-ahead how-far
/ E: v- i! A1 K. b2 q+ } set how-far how-far + 1 ]7 j# \- x* ~# t
report total
2 m; U+ D% o: C7 |9 e% Bend& w: F7 W/ c" l3 b) q
$ y5 \, u+ P- [to grow-grain
4 z: g! s+ V5 @! v' L6 p) h if (grain-here < max-grain-here)
( o/ I# h/ ^9 M4 t& s [ set grain-here grain-here + num-grain-grown$ C9 K0 D: D, |8 a+ L& m
if (grain-here > max-grain-here)
" {2 X: ~# ?% t2 d9 y" W) T [ set grain-here max-grain-here ]+ W( E/ I# L* u7 H3 q! V
recolor-patch ]- l1 _8 O+ W) {7 M' E% X s! m
end
; c& ]2 s. \2 J$ Mto harvest
0 G( B/ x, a0 K d9 u ask turtles
$ }3 E" p& U$ V4 }7 Z5 [; x [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
8 a! C" u+ Z7 S ask turtles
& {1 B8 V1 P# V$ J& J [ set grain-here 0* e A2 f# g, u6 r( u6 ~, }
recolor-patch ]6 g p/ l1 }' o
1 m: n2 @3 J! l8 M+ H! l
end# K& a: `* ?/ {4 z- @. _4 }
: M: K* F0 N2 ^4 Q% I/ ~, mto move-eat-age-die
1 ?: n# }& r4 B fd 1) P+ `: H, J0 w5 F/ u$ r+ r o' O, z
set wealth (wealth - metabolism)
/ L* R7 ^0 h; E" e8 m$ V- e set age (age + 1)
9 I. z$ ~# c+ P2 z% b) { if (age >= life-expectancy)7 o$ ~) u4 [) M% W* }
[ set-initial-turtle-vars-age ]
3 F o/ g- k1 p' p: x# B if (wealth < 0)& u$ {8 n, }1 l- }9 t" q. U
[ set-initial-turtle-vars-wealth ]. X! B7 V8 g4 D
, r# m8 t" \( o; pend
6 F9 c4 [3 |9 u. Z7 |0 i# A2 O# N3 t! H. U: g
7 a) X- Q7 F3 {4 d$ w$ Qto setup-plots
8 G1 ]* I* I- o3 n# ` set-current-plot "Class Plot"
+ v7 [. e3 A& n set-plot-y-range 0 num-people" v, D# C8 i) x( x0 Z/ p
set-current-plot "Class Histogram"1 y' n0 G9 ` N0 T9 m) I8 |) e
set-plot-y-range 0 num-people
5 G% I* x' K' z) n: Cend9 T, D& r/ D2 X
, {/ a! d' x% z% I: ^( Z9 X& R
to update-plots8 y; b1 D5 k' u! v
update-class-plot
0 U! @. a+ m9 C+ H" f update-class-histogram
0 R U/ C9 s" i' O5 t8 O: t update-lorenz-and-gini-plots
$ C9 S5 c6 l: s( Lend% s/ p/ v: P2 K3 }
( a6 \2 ?) I! I5 l `
to update-class-plot4 @( l; n9 U; \" H- V
set-current-plot "Class Plot"3 F1 Y! p5 X7 X
set-current-plot-pen "low"
4 a4 l; R: z6 j plot count turtles with [color = red]9 |% [2 h/ C1 L& S* x, h& q
set-current-plot-pen "mid"
2 [) J' |/ Q1 N1 m plot count turtles with [color = yellow]7 l7 | F$ I) b1 d% u
set-current-plot-pen "up"! u, K6 F: X" E, @: ?( S
plot count turtles with [color = green]7 R& `# d: O& x2 h
end
" h) F7 J, L7 c3 B1 }( q- |/ o# B5 d, G# H' T5 e/ d& I9 i. q
to update-class-histogram
1 M' ^% M# e1 { set-current-plot "Class Histogram"# e$ [& A9 O5 X' }+ s
plot-pen-reset
6 D' y/ c2 y1 {: d8 y set-plot-pen-color red3 `2 [# ^2 @+ R6 [
plot count turtles with [color = red]1 a+ y/ ]5 Y9 b8 Q
set-plot-pen-color yellow
3 w8 U4 l: j/ D+ T! w plot count turtles with [color = yellow] s# E: U6 j& F1 X- W3 O% X
set-plot-pen-color green
5 N/ R& n2 q4 s$ p3 k5 |$ U6 g plot count turtles with [color = green]
8 L( h0 J7 Z; J5 _6 h5 ]: Mend b7 d6 p% x T8 T4 q V' H, b
to update-lorenz-and-gini-plots$ J& ^( l& D' G. Z! K4 y9 L: ]
set-current-plot "Lorenz Curve", f. q2 f* e( W _" o+ ~
clear-plot+ a9 O! o; [8 h: M
5 q- |9 y" _' z; ]6 @ set-current-plot-pen "equal"
/ o. e+ i) K7 q2 e3 J; P' b& N plot 08 @, z& P0 ]" i7 B, w
plot 1008 L* K, o. ]# q& F8 k% c$ _5 m
5 j, m1 w" A, B0 |8 @! F$ r: d' _ set-current-plot-pen "lorenz"! v- P% q9 p' w
set-plot-pen-interval 100 / num-people
+ b0 J q4 Z: p8 I# @; k6 q% M+ p5 @' v plot 0' V3 w: N9 M$ v# @; q g# i
2 l) ^5 f: C) F
let sorted-wealths sort [wealth] of turtles
4 K3 O ~. E* Z$ l let total-wealth sum sorted-wealths
4 W; }. a# m% \/ m let wealth-sum-so-far 06 C$ P y5 C. R, H
let index 0
# f* m3 A! m+ M" v& B) H) F let gini-index-reserve 0- X3 P7 D$ i% Y5 b7 p# {! l; M% n
5 J9 k7 K2 c( ^: N
repeat num-people [7 P/ W/ `" W2 N, \+ v
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
- N7 k+ e& }$ Y: Z9 x plot (wealth-sum-so-far / total-wealth) * 100
' Z& J" b, H* C; W6 e set index (index + 1)2 I. ?/ J' p2 m; C
set gini-index-reserve
. H9 B" F; h0 |4 ^; F gini-index-reserve +( _, F7 V5 ]6 }1 \
(index / num-people) -
! V$ D i3 @2 {9 m! D (wealth-sum-so-far / total-wealth)
5 |& [3 _- ]( i# b! _ ]+ e8 v$ f* U% r) r7 N! Q- C' l
7 Z- T. g3 z$ v h, h5 p/ i set-current-plot "Gini-Index v. Time"
" V6 G0 Z8 g: p; U+ z plot (gini-index-reserve / num-people) / area-of-equality-triangle. l" f+ J Y) i! L6 P6 W
end$ L2 F4 D3 N7 c- p9 V
to-report area-of-equality-triangle
@2 Y0 z8 O, U/ U$ e report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
! G' p+ m6 |! m1 \: R+ ], }5 L8 y2 x" I) mend |