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+ l7 y g* e8 r0 o1 X
globals! {5 b) ~9 O/ ~# E! e5 p
[
6 ]$ \5 N$ j0 O max-grain
2 v1 U, Y6 @, }) m% M7 q/ j1 k6 Q' m. i; P
]
) t/ }" E+ t( \: a$ e# K0 ` X, |0 L, P" W. u5 D: \
patches-own( ^7 C* u2 \$ f! V$ ?/ E q* `5 w. r1 r
[
7 R4 |" Z$ N# q" k; `" q grain-here 1 X0 E) j: C. ]. x ~
max-grain-here
5 x5 n" O. E" W0 a, \% Q, T]8 E! c: x, O; o
3 J; M+ R0 D2 f. \8 h
turtles-own& `4 |- Q9 \; V. a. q
[2 \7 X1 c# R3 g2 S: [, L
age
: D. p+ p x& P& \4 _5 o wealth
' c9 y1 m; I% `/ C- `, q H0 u life-expectancy
$ y/ L7 ]9 o9 K6 C) c% T6 w metabolism 7 h- w& _/ L- u) x
vision
9 C4 Y+ H/ j! o. R2 \/ k) \ inherited / H+ r3 [! c4 v6 `; I
]
7 f+ N. u- W9 B0 a& n* @1 `. g/ T* f( g" i% c" o% X
5 I4 H- {/ O# R5 Qto setup
5 h) `5 L$ W4 ~- O( j' ^ ca6 Q. [( Z# V3 @9 c' K2 }0 n5 V3 [
set max-grain 50
$ B0 ^5 Z# n+ L: u setup-patches
4 t, q6 ^ ^+ c setup-turtles' N0 ^! L' J* M& \0 g" Q7 Q9 o
setup-plots
+ T4 q0 ^6 H8 F1 g/ W+ F$ r2 h update-plots
7 P d; E0 E$ V, [8 t: `% r+ H! e7 Oend
/ S. r8 Y0 ^4 C9 Bto setup-patches
3 {( M7 {/ r F& A! V+ U ask patches
) a( J, M* ^" _8 H: r6 U2 x- y [ set max-grain-here 0. N: J" z6 o5 v+ M5 Y: C5 G1 P
if (random-float 100.0) <= percent-best-land" T* T" {( o( E T: V2 A
[ set max-grain-here max-grain9 t3 G3 e8 Y3 l2 c) n3 A
set grain-here max-grain-here ] ]
2 j9 S' \& d& R4 }' H repeat 51 h& o+ C1 F* {$ q6 A; I
[ ask patches with [max-grain-here != 0]( u( S: R' o: c" H8 S k
[ set grain-here max-grain-here ]
' q b4 c. r" Y9 g diffuse grain-here 0.5 ]
1 v1 Q' a4 I8 L# o) G0 L. ]5 {2 M repeat 10) v; a$ O }3 R) v. {1 R! X
[ diffuse grain-here 0.5]
( P' F7 i& S% X3 v ask patches" n5 k: b3 P5 F" T1 a
[ set grain-here floor grain-here
& L9 {& j) P' F: b set max-grain-here grain-here 9 Z7 w$ C3 \3 y' T$ l d
recolor-patch ]
/ j: J0 n5 h+ S. {end4 |0 {3 D$ l9 m* i
to recolor-patch
}5 \- c/ a5 m! |- g set pcolor scale-color sky grain-here 0 max-grain. n- O, K8 n9 F5 }
end
0 i9 j. y. D! t6 e6 t, h+ Rto setup-turtles
( y4 }# k$ Y2 }5 ]1 Y4 v8 w set-default-shape turtles "person"
9 g: p6 I* q! x crt num-people+ I: h/ ?. m' V- F' h) q" o# G9 p
[ move-to one-of patches
( ~% f" f' H& {* D3 H" D- B7 B set size 1.5
. h- F# U6 G4 e+ ]7 j" O set-initial-turtle-vars-age
( B5 d* U5 b v! a% K& h+ d set-initial-turtle-vars-wealth: U) I; p* Y2 {" [: ^+ ?0 r
set age random life-expectancy ]
$ V3 X5 Z' P1 s. W( J$ Z recolor-turtles1 S( g' z( ^/ s2 \# u" \# Q
end6 N8 K; D" A& u0 N1 s
, l Q% a. r! F: H
to set-initial-turtle-vars-age: j9 y8 l! B+ h& K9 D2 a( q
let max-wealth max [wealth] of turtles
" N8 ]& {/ D, n, W : P f* o# o& J J
ifelse (wealth <= max-wealth / 3)
6 [" ] F2 h/ Z* ?( E8 a r | [ set color red ; I+ Y* a/ x3 c+ C7 i' Z
set age 0. V! k" d& i" _- |4 X
face one-of neighbors4 * k! H" I. X. s5 b; R
set life-expectancy life-expectancy-min +
$ j, a2 ~- F' m1 R. Z random life-expectancy-max 1 D/ [" c1 `- b* J
set metabolism random 1 + metabolism-low( b7 Q! G5 j$ q: o% T0 k8 N% r% ]3 d
set wealth metabolism + random 30
7 V% H$ Y& w f# U& R! i set vision 1 + random max-vision
5 \, Q/ J! _: A R# c set wealth wealth + Wealth-inherited-low ]
% U4 G* t. J) h7 A- X { {; U [ ifelse (wealth <= (max-wealth * 2 / 3))8 W' _& ~$ {1 r6 v, g- J5 d
[ set color yellow 1 A( v0 j# K" A& ]/ _( g3 D
set age 07 [ }: |& _! K* \- S& z% F
face one-of neighbors4
5 P7 ~. N- c9 F' C set life-expectancy life-expectancy-min +2 g6 y- o/ H- a) e* w
random life-expectancy-max + 1
) L, s7 S: C4 j2 K4 R- X) k set metabolism 1 + random metabolism-mid: j7 W+ M* a& P$ h) @: c) I5 ^. L
set wealth metabolism + random 30
$ x9 g9 P/ _* |; b: g: _, ]2 p! _ set vision 3 + random max-vision
2 T! ^2 e. |* F- G9 n7 ^; S% H set wealth wealth + Wealth-inherited-mid]
! n8 ?& ]. d1 I# c [ set color green 3 m, f, q5 Z d; Y" p
set age 0
: N+ Q( S3 R1 N: f- c+ } face one-of neighbors4 2 C. w: @' |. g0 O6 e6 ^
set life-expectancy life-expectancy-min +
" ]/ ~1 ]' Z* T9 j. H2 D random life-expectancy-max + 2
" }0 W: u `2 B1 \/ t3 d* E set metabolism 2 + random metabolism-up9 \, b. H- M, \; ?- }. m1 E4 u; l
set wealth metabolism + random 30
- h' @* h$ A' C set vision 3 + random max-vision. J) A: K# ]# p& ?* J2 T" O
set wealth wealth + Wealth-inherited-up ] ]
5 I' d( L S! |1 s
; e0 J! j5 S8 L' K) iend
' G6 `* x) z& ?to set-initial-turtle-vars-wealth
7 Q/ |; T3 X/ ~7 [$ M9 M9 ~ let max-wealth max [wealth] of turtles
3 q8 ?6 W8 i! h6 ~+ p& I+ G, P set age 0% R% r) `% [8 i9 @6 F' R# n
face one-of neighbors4
) h8 N: H6 g; R5 Y) _ set life-expectancy life-expectancy-min +& ] @; A$ E& {# b, x8 z! x
random life-expectancy-max
; H, z6 p5 _- G2 I set metabolism 1 + random metabolism-up
0 t: p( ~( H: e" V$ e# r" x9 _ set wealth metabolism + random 30 u0 l" x0 j# V9 w5 K
set vision 1 + random max-vision
, `! S% f. \7 W* f6 jend* f& c) s0 l( y. }$ o7 T
to redistribution3 V$ W" x1 t8 q8 T' ?$ `
let max-wealth max [wealth] of turtles
3 o" g' q% w' h- f* B" D% qlet min-wealth min [wealth] of turtles1 k$ a. [$ b' C. r
if (wealth <= max-wealth / 3)( w1 X5 R+ o# U) \1 {
[set wealth wealth + Low-income-protection ]+ M( @0 v* n" P$ L) m" F
end6 l( E8 Y7 y, I& e3 }4 M
3 u& b5 ^+ F: r- M7 X" }to recolor-turtles0 O2 L3 F# a" F% c- n( u. [7 M, l8 s
let max-wealth max [wealth] of turtles. P6 ?$ N% c1 q( A1 G
ask turtles
9 e% ~: z w. w/ I l6 Q [ ifelse (wealth <= max-wealth / 3)( s" A2 W- r8 C! _4 C1 Y! l) P3 ^) u
[ set color red ]
) l6 P, d- B+ N* e& Z [ ifelse (wealth <= (max-wealth * 2 / 3))
' e/ e2 T( i6 r" e [ set color yellow ]
& d" ~9 W2 m, z2 a7 y [ set color green ] ] ]
3 { M# _' Q# p/ T: Y, V ask turtles [ifelse show-wealth?
2 |9 e8 i+ H6 q: P. } [ set label wealth ]
' j/ y ~& {6 `1 f; C& l [ set label "" ]]- r8 ^2 s$ [/ |! s7 W$ d$ e
end
, Q$ K$ t8 l0 G( p" s4 z2 e; D* X( U1 H4 D. k( w9 v) x
to go+ `) A$ k4 h" E1 \
ask turtles$ t9 j2 `/ n' l5 o# ]' o7 z
[ turn-towards-grain ]
v5 q2 J* X7 R0 r8 P6 m) C harvest6 b4 r# L& o& g1 }
ask turtles
1 o* |! Q; f: U- J j [ move-eat-age-die ]5 t5 T' B; ?( Q- \; x/ S
recolor-turtles
* V9 A7 {# ]+ J1 A: \& I* r1 R6 M if ticks mod grain-growth-interval = 0
, }8 ?$ L' ^& n [ ask patches [ grow-grain ] ]
4 p1 J: d' Y ?2 |( I2 [$ i6 G & J: C6 @, B C: o
if ticks mod 11 = 0
) @/ Q Z4 K! z1 W3 T$ w+ } [ask turtles
( C2 m: A `8 I# v" ~/ H [ redistribution ]]
' f. J+ W! Y; A2 |6 d1 ~4 c& _ if ticks mod 5 = 0
% D X! L2 ^6 |% [9 O {, u6 s) e [ask turtles- W. y0 p" Y# n2 U0 [, B6 {
[ visions ]]
4 g! D5 a- [' x$ k W" S3 N tick
1 u8 O" ^3 q& g r update-plots
( K! ]2 R7 l& Jend
9 T4 r5 S7 T* a+ kto visions
# m' O1 b" ^# P+ o set vision vision + 1
9 S0 _$ p8 e0 V* send
l# q2 R- z1 E8 R9 @9 p
$ O, G+ z' ^. i! ]8 E8 u" A# b9 f! J# ?
; n! [2 Z5 q4 u( `1 X, Yto turn-towards-grain 3 u1 M+ F% \. B8 |0 p* e$ d4 E
set heading 0
8 u. j$ ]7 o2 M5 h3 F let best-direction 0
+ O4 C) x* n8 J8 y5 E0 x# Y0 B let best-amount grain-ahead
# C" D' {3 ~) p+ y! R g3 {, { set heading 901 G9 |3 ~8 ?" L3 ?/ ?
if (grain-ahead > best-amount)" a9 h* @5 M8 r+ u- J
[ set best-direction 90
; x& X+ w. B4 F: y2 Q set best-amount grain-ahead ] }* c$ O' x1 D4 ^# W7 |. s6 A: w
set heading 180! p! n9 }& V0 V' o: x9 q
if (grain-ahead > best-amount)6 E. T5 S6 q" _0 @1 n& f$ b. A
[ set best-direction 180; {' P; _; C( M! w
set best-amount grain-ahead ]5 j( W2 z# d4 Z9 x3 m. _ S. ^
set heading 2703 y! H6 s* B' q# `, q
if (grain-ahead > best-amount)- \& q; I' D% H6 G. L" l `
[ set best-direction 270
! R3 l8 V* g V8 l' m set best-amount grain-ahead ]
: x& J/ q( v2 Q* K6 G4 I1 ? set heading best-direction' C( C% y8 e0 x4 k5 y+ T! U
end
! V% a* i3 |( V$ d0 |( F3 ?6 _* n s$ \' J1 W1 a3 q
/ X* p q. @1 }4 mto-report grain-ahead 1 x0 k+ g! P8 i2 l& i2 e5 w
let total 0
- j2 W- P4 W5 h. \, ^1 i let how-far 1
5 g8 x9 r c, K" W. t6 ^# r repeat vision
# C0 d' D8 ^4 j [ set total total + [grain-here] of patch-ahead how-far
, Q0 l" C1 U* c7 A5 y set how-far how-far + 1 ]
# u1 k: Y' L4 v8 E: x) l& x/ J$ O, F9 x report total
0 S( D; M& h4 c7 R# i& Rend% C9 y9 T3 K: u& ~# G" E
5 f7 \4 e7 D& c- U( xto grow-grain 1 ?" y% T; A2 U
if (grain-here < max-grain-here)
( K" Q. T; X0 M4 }1 ^ [ set grain-here grain-here + num-grain-grown
+ r. @0 K E( P8 T if (grain-here > max-grain-here)
* j3 C6 A5 R, m2 ?+ T6 t/ t4 w+ V [ set grain-here max-grain-here ]: I; U. o/ _% S k9 r
recolor-patch ]
) ~; _8 [2 [6 p* N* uend2 M# b4 q! S1 ^$ y4 u4 R8 W" T9 a
to harvest
/ @$ o: @) B+ T9 a7 I* u) c$ {4 ~ ask turtles
1 }. H4 M6 D0 `$ u' E$ a* e [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]$ ^2 C, s* ^. E/ X/ p
ask turtles3 x! L5 h! h7 S( U7 M: t
[ set grain-here 0
m3 _) g1 `. p& _1 [ recolor-patch ]- X& S1 q$ u0 }, Y9 I; x# i% `
* z% c- }4 ]) T( qend: r$ v3 i2 J2 [& x s: |; r! @; r
f8 w9 J7 m- `3 c) ]to move-eat-age-die 2 X/ W1 p) o7 o# J4 {
fd 18 M$ [( X4 ^, Z9 Q4 F
set wealth (wealth - metabolism)
- y M( n" x8 ?% ] set age (age + 1)
1 b- j# b: v0 N i if (age >= life-expectancy)1 T& U/ j% a+ B1 x6 t& o
[ set-initial-turtle-vars-age ]
0 I2 }+ w$ |1 T+ s/ }, t if (wealth < 0)
3 `0 i7 j4 x5 c/ u- L0 R [ set-initial-turtle-vars-wealth ]
n5 c1 P: P+ O) X4 q
9 g6 N& {: i% d, v2 i Kend
( J" m. s0 B, P9 v/ x+ D
+ r" j: }9 @4 | g
) X2 \ f P. }to setup-plots
: [7 h) r5 u p2 P$ a8 P7 k set-current-plot "Class Plot"
! o8 A. @' @# k% ~/ O$ f- @ set-plot-y-range 0 num-people
" S6 a3 t( ^- H3 K% X set-current-plot "Class Histogram"- B7 C4 g- _- l& Q5 ?+ f% L
set-plot-y-range 0 num-people
# g' }9 m# B! Uend
( }1 |) v% n% T% h' P# S9 ?4 n2 \& @0 U7 R: j# w# H5 {2 F
to update-plots
8 \5 W/ C3 q* Q+ Z8 \ update-class-plot4 z0 ^; H9 U9 e
update-class-histogram* M2 F- _6 e. E* } E
update-lorenz-and-gini-plots
0 k, C* h& X* P" dend2 Q. {; |7 h' q
! q1 V3 ~0 z: }5 l. ?# U
to update-class-plot. _* s, L. f" s% ?& k; L4 A
set-current-plot "Class Plot"' H- u+ D" z: v0 d4 _, n
set-current-plot-pen "low"
4 r5 B5 T# n* n1 X" ?1 m4 w1 c plot count turtles with [color = red]
- h, ^4 i# Y* S$ i set-current-plot-pen "mid"
1 }* C& r2 x6 C- k) p plot count turtles with [color = yellow]8 R+ H$ X& _9 R5 k; e+ x# c
set-current-plot-pen "up"% o. N. g: ~# O- e0 G; m
plot count turtles with [color = green]" S9 X* @5 E* e) L, ~" p# }
end; _* z! L4 ?" [' |- B7 z. m$ T
! j0 \) Q; \) Oto update-class-histogram3 j5 D; o4 Z0 O5 O
set-current-plot "Class Histogram"
; f$ }; i, J( ?" f* y7 m! ~ plot-pen-reset
W& r; Y+ E7 t* e. W6 [ set-plot-pen-color red
i7 S! v" U+ B4 |# z7 z plot count turtles with [color = red]
* N3 M; S3 B" W" ]8 w set-plot-pen-color yellow
5 P; L( Y3 H* a2 S plot count turtles with [color = yellow]
% o2 H/ j4 J8 |- B! ^ set-plot-pen-color green0 g' u$ c o+ T# c4 ^
plot count turtles with [color = green]
. P/ A# d D4 g. l# |' E! |* l& {end) Z3 ^6 u% {0 R+ \3 G( T3 L4 |7 u; {
to update-lorenz-and-gini-plots+ D. t B k1 C* Y: W( S7 H Q
set-current-plot "Lorenz Curve"
( R$ z, C+ A7 a1 }2 S+ B2 a5 ?3 q clear-plot: H% Y+ ]" n+ L2 k0 R
1 p1 F+ i( t2 O4 G3 ^& D8 [0 T
set-current-plot-pen "equal"
: L7 k8 N3 q. `3 x plot 0, }/ G# W R/ O
plot 100% i' |1 b: F. n. U* H2 p
0 E% B- K1 a* S m. M8 w
set-current-plot-pen "lorenz"7 I2 [* Z$ Z9 u4 ]/ ^* ]8 u
set-plot-pen-interval 100 / num-people
2 o" C. {9 C; }2 K5 c v plot 0
% \5 U }2 k" Z! n9 _6 p A
% J# Y( f k; ^6 ^) o" c let sorted-wealths sort [wealth] of turtles- N& V0 O, i; b9 m# t$ T1 j
let total-wealth sum sorted-wealths" U1 Z9 {9 ?2 g# L" u8 i- _
let wealth-sum-so-far 0
) e$ J( z5 w" b+ C! j let index 0+ o( w2 q d+ t( R; _8 g8 m# I$ a
let gini-index-reserve 0( F' s) I8 o# e$ Q
1 \) T4 m" R3 I6 v# m repeat num-people [
& ^# i8 U; ~ G* a+ ? set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
9 [8 H9 n6 ^5 c3 o- u plot (wealth-sum-so-far / total-wealth) * 100
- t* U5 ^# ?7 o |. r( t* w+ x set index (index + 1)
' x) W3 i8 {* x5 {1 h6 v8 D set gini-index-reserve1 m/ s. x$ P$ e/ R& v% b% f
gini-index-reserve +% F* r7 f' a4 Y! K' W0 f: q7 G
(index / num-people) -& _, V# Q' R2 l- V1 p; n& |
(wealth-sum-so-far / total-wealth)# Z+ _4 t0 V' S
]
. f! x* H# L8 o+ k/ z6 V
# g6 N. \7 C# u3 e- {! i4 M9 x set-current-plot "Gini-Index v. Time"
' S2 D- _# `0 \1 a( ]/ Z plot (gini-index-reserve / num-people) / area-of-equality-triangle
8 Y: h; f; U5 ?0 m( b9 s6 Nend
8 @3 M+ i. M- O5 ~- Bto-report area-of-equality-triangle$ z$ `$ @2 E9 ~% C5 G
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
+ L. u7 t& s/ e9 n6 a6 P1 j8 q7 E1 Vend |