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( O/ E% `5 U" K
globals
6 N( D Y, ^$ Y$ z[2 ^+ Z" i2 I9 v- C2 L0 R/ E7 z6 c
max-grain
) `! U2 F8 f& {1 F, a
: V E X! k% f0 E2 }], o1 \; s- ^$ M$ p/ C3 R9 D" P, a
% ~5 E: M, _" ^; u# Z
patches-own
) ~( g4 }/ n5 _ x" G& `+ b9 P[2 W4 [+ Q# \3 V
grain-here ! D4 X7 e* k1 z, C4 r$ ?6 W1 o: e
max-grain-here
! L' r F% X7 g$ J0 l4 Q]$ i+ W7 V& d* ?( ^+ ?& ]% S0 V( x
5 W- I! {+ c0 j- `" dturtles-own
9 @4 o% ^9 j7 _) K* [0 X# W[2 R9 I) e6 p) {6 e$ l
age * O; ]1 A( Z5 p* f
wealth ( F3 ^. s5 {* H
life-expectancy
/ s0 G7 W# O' x, T metabolism 8 V4 q& y4 m! I3 l
vision
4 w1 G+ f6 q% [, w o; U) O inherited
/ h5 a+ t) ?+ A9 o, []
5 v, ~+ K0 r/ u$ r
2 u' K* I3 {; z) ^# Y
0 S3 z* h/ x/ O6 _& k4 X1 vto setup8 Q; w3 T& {) p" G7 I6 Z
ca( ^; _7 U! R1 v4 z- R8 F! J
set max-grain 50
5 m5 ?2 A$ D2 J9 C setup-patches
/ G2 U- c2 D9 S2 T; A2 \/ T! ~! _ setup-turtles
6 Q2 G# k" s+ o" C# ?: K6 N4 I setup-plots. @+ Z z/ e y/ Q# } _
update-plots
% {) e2 ^0 g# d: F* H4 Eend
- U8 M# b7 R" ~, Z' sto setup-patches
( z. l) U, B/ k' x; m/ x2 N ask patches
6 H) h. T8 B5 r5 P& C3 I: B( K [ set max-grain-here 0- c' o {) n1 i
if (random-float 100.0) <= percent-best-land+ Q; Q: [! d, \. w k2 k4 h
[ set max-grain-here max-grain- |! {8 X8 G1 P& P& {# ?
set grain-here max-grain-here ] ]2 s% I/ \$ `7 l# A
repeat 51 M. ?: T; b& r, c1 _( I
[ ask patches with [max-grain-here != 0]
; B0 \9 U+ r1 X+ N4 y [ set grain-here max-grain-here ], c6 h. u$ H4 ^- ~$ {
diffuse grain-here 0.5 ]
5 L' a" ^. l* f' K `' ` repeat 10' @ o, o% m2 C- l6 V; f* e# W
[ diffuse grain-here 0.5] 1 ~5 G. r$ o X& I, w
ask patches2 X$ c4 M L; [$ S
[ set grain-here floor grain-here
' ]" o- ~4 a+ ]9 r1 x2 `7 k set max-grain-here grain-here
4 v3 @* L% {) I8 o. [% o- u recolor-patch ]
* @- t j$ F) ~( o# oend8 m2 a( N9 R7 G0 |' m9 f8 T
to recolor-patch
, `, b: P! V0 i3 g6 ? set pcolor scale-color sky grain-here 0 max-grain/ o% j, l& x9 I! f1 a, p+ X
end m \( Y+ t0 g9 d- T/ y
to setup-turtles
+ L% E' T2 P* A; j$ q8 c% b5 U set-default-shape turtles "person" `& l: T9 `* j; `
crt num-people) U, [! ^7 y5 u& N4 q! ?9 p! c
[ move-to one-of patches
4 r) I! }8 u' Q- B set size 1.5 . T$ | o6 ?$ d9 I. L/ l
set-initial-turtle-vars-age! q! Q4 p: Z0 Z9 X0 ?
set-initial-turtle-vars-wealth
+ I2 |0 w7 {% B. G, i2 ] set age random life-expectancy ]
$ m5 {$ _4 {, |# P' I) D, l' w7 \ recolor-turtles
, G- G! K$ f% ^, J7 B/ i" `end d) N) v9 \' I; }' U2 y# Q+ H0 x
: i, D, q8 F; I+ _* v! |to set-initial-turtle-vars-age
# v! s5 g, s( w4 P1 t! Z a let max-wealth max [wealth] of turtles
1 B8 e2 {* a6 u5 D- t- @" n, u0 Y
1 [7 \! ?9 f* n0 z1 z ifelse (wealth <= max-wealth / 3)/ ]( j4 \& k1 A" ^8 Q
[ set color red
; s- I" K% f- u/ }+ o set age 0
9 q7 R2 \- Z; M# g face one-of neighbors4 9 C3 N; s9 I$ c; I* E0 X* @5 v8 C
set life-expectancy life-expectancy-min +
% i$ { ~- h2 g$ @ Y1 B random life-expectancy-max y4 C. r" J9 [
set metabolism random 1 + metabolism-low$ u0 t5 P7 W5 o; @ ^
set wealth metabolism + random 305 Z/ \6 J0 ? N* \8 q
set vision 1 + random max-vision/ s6 v2 q" V1 P1 y/ f# \' g
set wealth wealth + Wealth-inherited-low ]
+ u2 N: e" z+ d [ ifelse (wealth <= (max-wealth * 2 / 3))
+ h( I; x- Z* q9 ?2 D [ set color yellow
7 c3 C3 J0 Z( H- W: G set age 04 e1 N1 K, {1 J* Z1 B {9 Z# ]
face one-of neighbors4 ( t3 i! T, H) t0 X
set life-expectancy life-expectancy-min +! Y. D% r) C: G% v% E' k
random life-expectancy-max + 12 @9 S: w8 V. j- X
set metabolism 1 + random metabolism-mid- t j1 }( Z& m6 {( o
set wealth metabolism + random 301 _% m# b; ^) `5 |1 ?8 V/ u$ d
set vision 3 + random max-vision
1 ~* b6 R( `: @2 |" r8 ^; _ set wealth wealth + Wealth-inherited-mid]
* \- l' |% w4 `( V" N" o. @/ c2 _ [ set color green
$ w( U2 Z( B4 A set age 0
7 Z, a( O" L' C6 m# [4 k face one-of neighbors4
0 }1 x7 ~) G$ z set life-expectancy life-expectancy-min +
' a9 R: }9 a; M random life-expectancy-max + 2
3 v9 e" @! G& H) b+ u set metabolism 2 + random metabolism-up
( [% w; D$ k( f; Y7 _: z set wealth metabolism + random 30
% L0 V+ \. O, g3 B. v. V9 |3 X set vision 3 + random max-vision
3 f* [: \7 a, v" d/ F set wealth wealth + Wealth-inherited-up ] ] h5 h. U- h% I/ n7 ~/ m# R5 \
7 ~+ C3 {- |. |- mend! v0 m" |. c9 p% V
to set-initial-turtle-vars-wealth, q. k) b. B7 a3 Q7 ^1 I, A% L' }( T
let max-wealth max [wealth] of turtles
+ X9 U+ e5 o$ z1 \! I& H C set age 06 R) }7 P, b+ }# w2 E2 k
face one-of neighbors4 , _! S5 T1 }6 M; ^" d T1 r
set life-expectancy life-expectancy-min +
1 j/ ]% y& {/ [* x0 b random life-expectancy-max
3 o0 P9 P3 V+ p K; _6 F/ \1 ^ set metabolism 1 + random metabolism-up" l+ U8 H$ l8 F
set wealth metabolism + random 308 U% G" H! U/ N. ^9 i
set vision 1 + random max-vision & y- p# }; D! e( A% g. m
end2 T9 ~' r, e! m7 Q* j& l9 j1 z, h
to redistribution# ?* [6 R, ?: o2 i/ X5 Z
let max-wealth max [wealth] of turtles
2 P% B: N0 E4 t6 n! llet min-wealth min [wealth] of turtles
$ `' J) \' Z6 h W* Y# jif (wealth <= max-wealth / 3)
( s k( I, _$ ~* y w. W7 a [set wealth wealth + Low-income-protection ]
|; P- v- b' p- W, Zend& h( y* {' `* G! p2 N: r
( ~& o ]8 n: u& Vto recolor-turtles
+ f+ k- F: x1 B let max-wealth max [wealth] of turtles! H) l1 A+ U( q& _
ask turtles6 G3 ?, {; l9 G' a
[ ifelse (wealth <= max-wealth / 3)" q- A8 b2 A# y! x. E: r
[ set color red ]
, g* r" ]+ A2 c5 p4 ^( I [ ifelse (wealth <= (max-wealth * 2 / 3))
1 l! z) z3 Z' w; I9 L [ set color yellow ]4 M7 E( r% Z* N' n7 {0 y
[ set color green ] ] ]
/ g' T/ C3 \7 N z8 d* I" J- j0 _ ask turtles [ifelse show-wealth?
7 g& P7 ^7 }8 q5 o5 b [ set label wealth ]
+ f. z+ ?/ O" o+ _' D [ set label "" ]]
4 S6 q- V9 j# k @$ \end6 }. t0 y3 o5 m1 {7 a' o
! D0 v2 R. i& M# E: d
to go
0 N8 }' O7 Q7 X& V9 O, s ask turtles7 X. p& F0 K6 z" j
[ turn-towards-grain ] 5 `* n$ ~! g, N4 Y3 }% v
harvest F7 E7 N, i M( K1 z) ^& z
ask turtles9 r) T6 L% Z7 e) M& O
[ move-eat-age-die ]% ~( p. D% v( ]1 A8 C- p
recolor-turtles1 l/ f) z$ E# u2 v Q
if ticks mod grain-growth-interval = 0
$ ~2 W8 k; {& F% S$ f* O [ ask patches [ grow-grain ] ]
4 j; j# p& d, m; b. D+ t 3 Q% P6 E' G& L: h; f5 T
if ticks mod 11 = 0
" T4 y$ `% z3 S4 r R [ask turtles
6 E: L- r8 `9 S' i2 p. K [ redistribution ]] S" L2 J7 O' \3 c
if ticks mod 5 = 03 K' x# z$ C% {& W: M4 A. y
[ask turtles, e; v) U- N; ]3 z, c
[ visions ]]8 z" P+ O& o3 @
tick6 Y: S; E9 l1 r G) y7 r
update-plots
. }& s+ V& x" C1 mend1 e+ U$ x' E/ }' B0 x
to visions7 @& r7 b6 ]4 @+ ~
set vision vision + 1 ) l0 \; }* {# u( Z/ S
end
% y+ q6 Y: b7 g3 H) y& n5 h- M, e) d2 _! E, r: L
# ?; Y* O* y, K
( j+ x- y; s: R/ M! {, cto turn-towards-grain # H" c7 J0 ~$ `3 ]( w
set heading 0' I$ M7 m( v1 B
let best-direction 0' u: l3 m& Q5 m T1 T0 A0 a
let best-amount grain-ahead& l% I2 I9 u9 \5 o! H
set heading 90. ^1 \- F' x; l U
if (grain-ahead > best-amount)4 l# v- @% X& m
[ set best-direction 90
& z7 U" p; W- f5 y set best-amount grain-ahead ]
0 p7 p6 ^ x+ {# R \' F/ F set heading 180
! O! o: D# B m- z" x- v. K- K if (grain-ahead > best-amount)
2 U, B, }/ E: L4 i' y/ P [ set best-direction 180
: O5 \/ D0 p7 `' w5 r c d set best-amount grain-ahead ]) |; q2 g! C$ S7 p5 h. Z
set heading 270# } U \- x, h' j
if (grain-ahead > best-amount)* R: |# v4 k7 L, v
[ set best-direction 2701 |" c: b2 L% ]" }- | s2 G
set best-amount grain-ahead ]
9 w; v; Q% a) y( R; f- g ~1 h, k set heading best-direction8 @" L8 P5 x/ b
end
# F) L$ Y5 U1 c* P6 P( g- y2 U
E- w1 W8 U+ A, F4 j
) \% D" D$ z4 k0 B7 V, `* Oto-report grain-ahead 8 h' ^' D- V( W9 I7 A- O
let total 0
3 N) @& F/ S' l7 `5 L1 T5 @ let how-far 16 [$ U9 P) J/ u& M4 R
repeat vision& r g, z$ B; n0 S" t% j( ]
[ set total total + [grain-here] of patch-ahead how-far: {9 S0 j# W) K3 O/ j- C7 y) s
set how-far how-far + 1 ]4 G$ a# z, t# [' E, s( G
report total
/ X# N8 l S Y& a: u+ c/ wend& U1 ?+ b2 L; l. r/ D" u
" ~) B" N" S1 R# ^5 B8 D+ e
to grow-grain
- r& n/ [' M: v& U* L if (grain-here < max-grain-here)1 H: j2 Y! W! \+ ^/ V
[ set grain-here grain-here + num-grain-grown
, X. N2 S, Q! a7 a. k% j" X u; n if (grain-here > max-grain-here)
' J. q# j* n5 T5 c; r% r% e9 m [ set grain-here max-grain-here ]
8 e) ~2 S1 V9 L! u8 i& c; e recolor-patch ]
' r4 ^2 @0 u$ \4 ^% S6 lend
( F M, P* _, Q. ]) G( C) P9 _to harvest
7 L( J; a9 D/ V+ f" L ask turtles. v( y! Z3 |2 B. D( ]' u
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
6 a$ T* B( _+ y" V9 |8 q% Q0 x3 L ask turtles
* J, R' D6 U) v4 O [ set grain-here 0
8 K4 @! f" ~9 A4 Y- \ recolor-patch ]
7 o: Y, m3 |9 G. r+ I
* k: R2 O' Y4 R& B" send$ q" n% Y" x. s6 w& f0 s
6 j" R. I& T9 s7 I( F7 o9 s* v
to move-eat-age-die ! v) C/ k8 B Z
fd 1
$ n" _$ E5 E+ v* O1 j g set wealth (wealth - metabolism)
5 M7 _: V: J/ e/ W! Z4 ] set age (age + 1)
8 s. f8 D' z5 K/ }: b if (age >= life-expectancy)! c3 o( Y, U; G: C* p0 z
[ set-initial-turtle-vars-age ]! H" |. B3 P z8 D2 \
if (wealth < 0)
+ p, x3 \4 _8 }4 y4 S [ set-initial-turtle-vars-wealth ]6 ~+ }6 a5 L/ m9 |; R# K
5 Y5 i. X8 _; X# H
end
; l1 Q: S! R) O, Y* R
: \' a& r2 h, ^0 W4 K0 Y; g
7 A# U/ K/ }( W. Z$ xto setup-plots- X; j- Z$ D, B; G6 A7 \+ @
set-current-plot "Class Plot"& M7 X4 H/ X- m
set-plot-y-range 0 num-people
3 x8 Z# b6 ?6 M1 p set-current-plot "Class Histogram"$ H7 Y, r7 A) j9 ~4 l
set-plot-y-range 0 num-people
, @3 ?2 Y; {. \. [2 W6 f- nend
( q3 Y) T3 u( K, a" _( c; |" \0 i$ b* Y( E1 O5 P5 D" y# z
to update-plots' z: V6 x; ?4 A7 Z9 g0 c
update-class-plot7 i, j- y* r$ s2 ?9 B2 n
update-class-histogram3 I5 @ `0 b% U
update-lorenz-and-gini-plots% g8 S% j/ Z1 u8 N. v; [
end
3 U& m: A8 I9 ]% X0 w/ l5 q- t8 I$ O/ B5 d- e
to update-class-plot7 W& p. Y+ W7 J' o* F* S
set-current-plot "Class Plot"
8 H* e% k& S. P+ }* z set-current-plot-pen "low"0 R4 f6 l+ B$ o, P. ~- q, O3 @
plot count turtles with [color = red]
/ r( f7 u" G: k$ E5 k3 | set-current-plot-pen "mid"# r7 k: @. p& j: f3 o3 w
plot count turtles with [color = yellow]7 e6 o$ y: I5 J4 B9 }% X# ^ B
set-current-plot-pen "up"
6 P/ S" X/ z; [; p/ S/ T plot count turtles with [color = green]; Y: H0 |6 f; @
end" n# M) N3 D* Z. d" _4 ?9 }0 R
3 S+ q) z* o+ `/ F/ _, p- S Kto update-class-histogram
8 a5 W* }: K7 [/ {# B! u- u set-current-plot "Class Histogram"
& r) H2 N+ C+ K! n plot-pen-reset
B; V5 ]: F% d! [" s; n' H2 ~ set-plot-pen-color red i4 L9 Z2 z$ J# }, Z
plot count turtles with [color = red]( Q( }0 |: f/ {$ ]- b2 ~
set-plot-pen-color yellow* Y! H7 b4 B" j0 ^
plot count turtles with [color = yellow]
8 n' n0 ~8 c9 R# K& d, f4 `* J set-plot-pen-color green
. _$ z p8 `2 r+ {6 ^1 F/ u plot count turtles with [color = green]! c" W5 l, Y2 L
end1 U" ?) L9 ]1 `* d
to update-lorenz-and-gini-plots# X7 M5 e, z2 D4 U7 e
set-current-plot "Lorenz Curve"
$ R( b' s* g( e/ C clear-plot. i1 S+ ~" W" p8 k* x5 e+ w% l3 l
7 t4 E! \8 g: W
set-current-plot-pen "equal"
7 e7 s" k9 f) n6 ^. X7 j plot 07 a+ ?; j" N4 R3 [* |
plot 100
) C9 }7 K! {# F) F
3 g" s* H$ X2 j& s; i2 i2 k set-current-plot-pen "lorenz"2 @: C( x& Z# z1 q: H
set-plot-pen-interval 100 / num-people
9 s. \! s+ H/ s3 Q plot 0
( ]) O8 G! n* Q0 I
/ n" f4 M4 O) b1 Z let sorted-wealths sort [wealth] of turtles
# u. ?! r. V* ]0 ]8 E3 ?$ E, d let total-wealth sum sorted-wealths
8 \ X- d" ?1 v0 Z4 a( v" M2 ? let wealth-sum-so-far 0
# Q9 X8 }0 R8 H0 L7 a& y, w let index 0& X2 W2 W4 Z T- a$ `, {: t. E
let gini-index-reserve 0
. G ^6 p, I# X& w4 |8 N* r; C: F a$ a
repeat num-people [8 M+ v1 g- v( r( X
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths), t! E4 h; |& _; O+ X$ a
plot (wealth-sum-so-far / total-wealth) * 100- ~) |& l; R- H4 u
set index (index + 1)
* |% \8 C% s' q& |( d' W set gini-index-reserve
4 D2 H) A7 i' M v% f, `( K gini-index-reserve +
; c% u, U$ u \7 k4 |! O: G! Y (index / num-people) -
2 c2 F2 n; U( B3 E4 Y9 L (wealth-sum-so-far / total-wealth)$ y, S( u5 V4 x2 |: y& f i
]$ r$ {5 h& ?' o+ l4 {7 p) ^
: J) w. s# N9 m set-current-plot "Gini-Index v. Time", n5 v- \2 Q E* q
plot (gini-index-reserve / num-people) / area-of-equality-triangle j8 p# v6 h' L) e, {
end
$ ?6 q, W& y) Fto-report area-of-equality-triangle
" \+ D0 K2 x2 r; o report (num-people * (num-people - 1) / 2) / (num-people ^ 2)# t k6 K+ f. N. ?' W9 m) U
end |