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
1 P. V( F% m; Z0 \globals
( y+ D( R2 ~5 [[
- v5 F. V5 ?' e# d* Y9 f max-grain ; q0 @) N$ y# {8 a8 p/ k @
& w. @7 F7 b. ~: C; n
]
5 B; [: \1 v0 x4 x9 G5 M7 t. ?- g: `* z0 K: u [
patches-own# D, C5 d: w2 R
[
; Q+ \% l' h0 B$ r" ]* V( b grain-here
/ F& n9 b2 |( W' V max-grain-here : v4 T4 u. P2 b1 j
]
% J( G, R; H$ l6 S
+ \0 n; J0 b2 {+ Oturtles-own
* ~7 X) V$ y4 V) e[
/ g6 A1 c3 ?' l9 j0 C, ?. m age ! s: ]& \# b2 _! Z5 A
wealth
# R% n+ `9 e& n) n life-expectancy 8 [! s$ P b9 z7 s- g
metabolism
( G: I+ U" k, a6 n vision6 m ?8 W& v7 f
inherited + ~0 H) O2 s3 C+ c% m+ B
]
3 z3 ~2 v4 m: T2 F @9 I1 W
3 f! {# r D3 m2 \( p" S* |9 |# U, G6 f2 b
to setup
# V: b W2 G- J Q ca
( C5 x* I! G1 H/ S set max-grain 50
' i0 G" V9 d! @ setup-patches9 j1 M6 H' a$ {/ S" ]
setup-turtles
. @' ^( G- K& j setup-plots
! \' Z7 a) y% ` update-plots" K! i& z$ P$ g0 ~& m6 @
end. m% q" N$ C' k! h
to setup-patches
% M" M. n+ ^0 Z+ u9 Z3 b6 } ask patches( [: c! y: c s0 X" `' C2 o$ l
[ set max-grain-here 04 ^/ e K `! ^: `& h
if (random-float 100.0) <= percent-best-land" K5 Y& R. `) K
[ set max-grain-here max-grain
: ~3 |8 [8 |3 k; j/ M1 B set grain-here max-grain-here ] ]2 ?8 P3 `4 j) J; U+ I0 W# r
repeat 5
. f D' G' ~! @* G: F/ `: Q+ `# R [ ask patches with [max-grain-here != 0]
' G& T8 j! O9 m# @" E [ set grain-here max-grain-here ]
$ ]; t( H0 b( j/ _' F/ ~; A4 ]* L diffuse grain-here 0.5 ]$ |" [1 C* M/ B$ @; `7 C$ K
repeat 10
/ X J" q& d3 p6 y# q [ diffuse grain-here 0.5]
" F# E- K* Y! Z; I5 g$ Z ask patches, }( E% I8 P$ o# A
[ set grain-here floor grain-here
! R3 w: e# R/ b$ f set max-grain-here grain-here 5 O+ j/ @3 F- L! Z% F
recolor-patch ]
. n+ `0 L+ x% i8 f3 c1 Oend
3 R' ?0 m1 e/ }# }to recolor-patch ' t$ x; P# y5 x( |$ E
set pcolor scale-color sky grain-here 0 max-grain
( ~- x5 A9 o- D* C N$ fend0 M9 j& U! _; b. @6 A( H4 m$ x
to setup-turtles
' e' x$ @9 q3 s, T3 Q: e set-default-shape turtles "person"
6 ^2 G& Z; f; p6 Y1 O: \+ M/ L4 o crt num-people: e1 q+ ^. `3 B" q0 ]
[ move-to one-of patches
) q+ p# F; S% N) A9 o" A. \ set size 1.5
b( m2 K: b d2 F3 {0 d- M set-initial-turtle-vars-age
O/ @ r5 B1 i4 t6 ~3 r9 a set-initial-turtle-vars-wealth
/ R1 z! C5 r6 G- q- J- b set age random life-expectancy ] t1 x3 O# l; t* i& v
recolor-turtles5 p6 x- D" @+ K/ p! k. U& U/ n
end; a5 [) e. q! {- A# c$ w
+ s# ~" ?0 l) l$ P8 G
to set-initial-turtle-vars-age
" H: P. p' n. i let max-wealth max [wealth] of turtles: [$ W& D% `% F9 H: ]' W
2 T' {5 I$ K: k
ifelse (wealth <= max-wealth / 3)- Z- Y8 ^2 F; `8 D: t* _
[ set color red
^/ p1 b7 F! ?2 W. Z set age 0
) O k8 G$ i& l% G8 j; F face one-of neighbors4 # Z+ O1 u- ]( R. X8 l# G& k" r
set life-expectancy life-expectancy-min ++ F9 }: v1 q" t7 _' k& T
random life-expectancy-max 5 j4 e- Y+ r( P* h( M6 F" R
set metabolism random 1 + metabolism-low8 [4 z Y+ q7 N+ o7 L
set wealth metabolism + random 30
; l# s+ h4 g5 @8 i% `2 V+ j set vision 1 + random max-vision" w0 c% j f' m/ n+ A; T
set wealth wealth + Wealth-inherited-low ]
0 M" G! O! W0 x/ W [ ifelse (wealth <= (max-wealth * 2 / 3))3 d7 h) d s e+ T9 U/ T- B- F
[ set color yellow
3 K- p2 a# L" x; E } K% Y set age 0
' ]2 B- k2 ]2 D0 ] x. J0 x3 l, b" W face one-of neighbors4
4 e% t% z5 {: g+ ]3 D set life-expectancy life-expectancy-min +7 h/ P& p2 J4 _) r2 {
random life-expectancy-max + 1
( B& P, v: L$ }& C4 I0 L set metabolism 1 + random metabolism-mid
- E$ k% K0 d0 k set wealth metabolism + random 30
" L9 i, g: p; C2 V8 L set vision 3 + random max-vision4 g; L, h/ G7 }/ P) t _3 Z
set wealth wealth + Wealth-inherited-mid]
2 Y7 s% z8 S, O6 N# j [ set color green & n5 D) P6 S5 C5 b
set age 0" r p5 V+ b- ^+ j* K8 l6 c9 m+ f
face one-of neighbors4 . ^! o7 W9 a& W0 Z5 ^0 d
set life-expectancy life-expectancy-min +
7 p% R7 U& e; j* _/ w' v9 N random life-expectancy-max + 2
6 I6 w7 x) Q2 B( ]% w5 n r set metabolism 2 + random metabolism-up5 h' y* U% D( c% l5 h! Z* V/ q
set wealth metabolism + random 30
/ }9 s( \5 g( O7 i3 L9 k7 e set vision 3 + random max-vision! t7 A4 ]/ T5 k
set wealth wealth + Wealth-inherited-up ] ] / e! `. H3 k) L1 N) l
5 Z' H8 r3 k _, @2 i8 T4 |' w0 jend
+ D$ `- q& ]1 y2 U! u/ O6 O/ ato set-initial-turtle-vars-wealth3 O; x4 j" h3 N- c% h
let max-wealth max [wealth] of turtles, [- N+ R/ [3 B0 `
set age 0
$ j! b- W) K$ J4 I9 } face one-of neighbors4 ) ]) j0 g6 B( O7 C
set life-expectancy life-expectancy-min +
/ `; [' V5 z$ G6 ^! b1 K random life-expectancy-max ! v1 S8 r: R! ?( J& t1 N8 B
set metabolism 1 + random metabolism-up" \0 j7 N! A a2 v
set wealth metabolism + random 30+ _/ K( [& U+ w3 B! w
set vision 1 + random max-vision . s0 G' V! C4 C! h6 B
end: n Z* d4 O9 i% u# ~
to redistribution
& ]3 {# m) b; z E/ R$ p5 vlet max-wealth max [wealth] of turtles
$ ^2 X7 z# Q( }1 i/ D4 j, Glet min-wealth min [wealth] of turtles2 b: d9 P0 `& d
if (wealth <= max-wealth / 3)
# e3 G$ X c- U+ ] [set wealth wealth + Low-income-protection ]
1 O) m7 _$ S$ t& ~end
" B% n% C! K& N / R! {7 a2 s, W
to recolor-turtles9 f f$ q. d* U# |- G o- e3 F
let max-wealth max [wealth] of turtles* h6 i6 @" P% x! m5 E5 f" k# d& b$ q
ask turtles2 ^$ ]9 ^. T# @6 p% C+ }; |5 F
[ ifelse (wealth <= max-wealth / 3)6 c, G0 T0 t k( w
[ set color red ]1 g/ u7 \" d% ^* ]+ d2 x' F( t! Z
[ ifelse (wealth <= (max-wealth * 2 / 3))
: K- f7 P- |3 K [ set color yellow ]
2 Z5 s+ @2 ?/ B$ L: L' Q9 y3 B [ set color green ] ] ]
: K2 s: s5 X; ~: t5 Y ask turtles [ifelse show-wealth?3 R' B" `" a6 w6 {* j# E
[ set label wealth ]; v3 q; C$ H& F7 V% Y8 q8 R
[ set label "" ]]9 [* h- j. s9 E
end* Z' M+ E7 O4 }# D3 g* H6 y: t
+ y7 M0 e! [1 i4 o: Dto go
8 X) N) v( D) z ask turtles7 K' }9 J/ x" \! p2 g y
[ turn-towards-grain ] " R9 y/ Z* I+ `, v. l
harvest
6 s) q5 b# d, p2 j# u% |/ a6 X! ~ ask turtles' e% j6 X; E) I! R; ] J9 _
[ move-eat-age-die ]
5 P' h9 }, j; ?; Q8 g9 V recolor-turtles( s. `1 _' h, T2 Q% @2 K5 O3 p% E
if ticks mod grain-growth-interval = 0
1 n/ ^' e+ S. v, u r' s2 ^ [ ask patches [ grow-grain ] ]+ v, H( O7 r4 S& y# e4 ~
3 Z- v" @5 v" f7 [) R! n) c2 z: M8 { if ticks mod 11 = 09 U8 d4 a/ P& K- z) u0 h
[ask turtles: p; \6 V% l( i% S
[ redistribution ]]
, P$ S( `( {) {; } if ticks mod 5 = 0& ^8 o1 x" F0 Z" A/ y0 o
[ask turtles- ]9 P$ ^+ G% R/ e5 {, Q
[ visions ]]
: h$ R. p% x0 | tick; P0 U& i9 }. ?+ d/ u, A
update-plots
/ \5 [# O7 R" P7 K9 ~( Y+ @end
' n" l3 D% X0 y, N E6 ?to visions+ S+ x0 t' J! E% T7 ~, r! L
set vision vision + 1
5 d# m$ R) f2 p) F7 s4 Qend- N5 r* I: H- o9 e$ O' x+ e; f
0 r' V5 n+ K6 S0 P {: L1 S& R
5 g2 N+ P$ R$ ?- z: I
0 U' y7 b0 j5 t6 S9 }% rto turn-towards-grain 3 y! I- o$ A/ p3 Y Q4 F* w {
set heading 0# B0 \! W; c5 R/ J2 D
let best-direction 0
) A# T% ?0 a) J let best-amount grain-ahead
7 m( W/ S* A' ]8 Z7 U& l set heading 904 Q0 {6 i. B6 u8 {0 L; [6 S8 b
if (grain-ahead > best-amount)! C4 _$ i# C5 P( h# k* l
[ set best-direction 90
/ v' t7 n& _$ X n set best-amount grain-ahead ]) Q) o; \4 l4 H" {" w
set heading 180
1 T+ B0 r# x/ v6 t: h if (grain-ahead > best-amount)
1 e4 o/ B9 d6 s# J2 R: c [ set best-direction 180
4 b3 H7 C* m6 f# }) y set best-amount grain-ahead ]
0 }$ \5 v' T% S+ Z% ? [- I set heading 270
% K+ D& M% n* L$ R) o; Y1 M if (grain-ahead > best-amount)4 f, E3 b- v/ X+ o; A
[ set best-direction 270
& f( B; f1 A- I% _/ T9 h8 O8 A set best-amount grain-ahead ]
4 l, l' a7 N y/ A* Y( z" C set heading best-direction
3 j( |* R- w: H. n- cend2 O: a, l- J. s$ `! o7 Y3 x
4 x0 _% R. b# p$ L( g. y% d( O% g3 b' |4 [) ^
to-report grain-ahead 8 q6 j. Y, S' j# R
let total 0- g9 a' g% g& g
let how-far 1
6 A* j9 F$ D) v* v P* K repeat vision2 w5 c" {# } g U
[ set total total + [grain-here] of patch-ahead how-far' N: a, N& c8 A0 l4 z w }
set how-far how-far + 1 ]6 y6 T7 }' W, E8 O$ W n
report total" j1 d; u( c2 D
end4 |" Y* `4 ^+ s3 X H
' ~& ]% E; P9 n- R0 o, pto grow-grain # X/ ~0 e, ]6 ^4 v+ p, k0 b
if (grain-here < max-grain-here)& w7 x9 ^0 `% O( O" L9 R
[ set grain-here grain-here + num-grain-grown' r. p* O6 ]. p* \0 P
if (grain-here > max-grain-here) ( @2 F: ^" ]/ f2 d& B
[ set grain-here max-grain-here ]' i# A, S: H; {- @! F; f
recolor-patch ]
J3 O; F5 O* i4 B# Qend3 x; u8 W; W* c! m; v' H
to harvest
: c4 s& k7 N7 _: b, J0 Y ask turtles* I- R7 M& N7 x: f D. A& D; R
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
- x5 P& h; p- w7 z+ |/ {% `4 w ask turtles' ?0 L& h4 S9 C, z5 X
[ set grain-here 0
9 R i- a9 L7 h+ d9 c! x$ }" f recolor-patch ]
- J- l; J+ C' L) z; J& K - ^* w; K4 @3 G y- X( |
end
' B- L h5 J' _; N) C1 T p# a* F1 m( k9 J. T7 a8 s1 J0 e7 N) ?
to move-eat-age-die , i) Z: t* B, ?4 `$ [
fd 1
7 Z/ X3 _# |& d) K set wealth (wealth - metabolism)
/ H5 F5 ]& K+ x( S( N set age (age + 1)
2 u- H4 ?( k# h+ ^1 c y if (age >= life-expectancy)$ t% A7 ?* u9 d) |4 h- V' m
[ set-initial-turtle-vars-age ]# ^, t( X" i6 W: q
if (wealth < 0)* i; s7 L. S/ R1 Q1 m3 K! ~
[ set-initial-turtle-vars-wealth ]* N: V$ U4 D5 b! K- y. ~0 j7 E' E
; b7 v* t& H% O* ~% X/ t
end
0 H% D7 e, c8 b/ w+ M, q+ r- e- q8 T
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to setup-plots) q8 ]7 B5 X4 {: W/ p) s; I1 q, H& C
set-current-plot "Class Plot"
* ~* g1 Z5 l8 m1 {2 h set-plot-y-range 0 num-people/ @2 N6 s B: ?! r3 |3 x6 U
set-current-plot "Class Histogram"/ D* F9 ~7 _5 Z. X& Y, Z
set-plot-y-range 0 num-people
1 s; X% u6 d& i. G3 u0 g5 cend; m0 V) ?# L4 ^
; }- `( d, Z. J7 u" }* Z6 ?3 ]6 r# P
to update-plots+ X$ c, l2 ?) `* `+ |8 s5 W
update-class-plot
. h0 B- q- v( \. {% T update-class-histogram
7 E& V9 \0 P& d" t4 \0 n- r) K update-lorenz-and-gini-plots
& N1 S. Y$ Z( m, z, h0 pend
}! i6 U& ]# _8 G- n7 D1 Z
5 Z$ y1 r# t4 m( x5 H9 fto update-class-plot; L2 W4 b- `' U9 P2 u! d
set-current-plot "Class Plot"
) A! p3 S9 A- X7 w& D% P0 O set-current-plot-pen "low"" ~1 t; K+ d% S2 A$ C
plot count turtles with [color = red]
) V/ f9 v0 ?* V set-current-plot-pen "mid"
& m- h- {& s2 R9 M. f1 X) J! E/ F( i( E plot count turtles with [color = yellow]
! Q' n1 n: c* V6 |9 _1 r) a d set-current-plot-pen "up"8 ?" o8 ?' q3 B& x8 p+ d
plot count turtles with [color = green]$ U; L0 C7 i" p8 c! A4 I
end* C- P; ^0 ^3 z4 g; l
) E( K8 V4 {) [5 t1 W
to update-class-histogram9 |2 o. Q) N, o
set-current-plot "Class Histogram"
4 `: j9 ], f# W3 X8 a plot-pen-reset
# R+ e; i3 @0 n: j3 D set-plot-pen-color red
" P F( s* {& c. a3 o" m plot count turtles with [color = red]$ T: l8 ^( H1 T( q$ R' N( Y; R( s
set-plot-pen-color yellow& W$ D \3 m; P* z
plot count turtles with [color = yellow]0 v5 I3 p. I3 _: P. O/ _5 o: Z+ Q
set-plot-pen-color green
" g. V* Q7 m$ ~+ ] plot count turtles with [color = green]+ s! M& o8 g4 a. `
end
3 ?2 d% M: x: k* U( l; h; S9 j7 N& [to update-lorenz-and-gini-plots
" P* J! k# T! K7 z- m! a8 ^0 [ set-current-plot "Lorenz Curve"' ]8 K; |5 z" K: n/ T9 ~
clear-plot/ Y6 x4 U2 D: X6 [: z; f- f9 [
. e- r. u: Q1 a1 J6 f! ]( e1 R
set-current-plot-pen "equal"1 t2 ?2 ~6 ^0 s4 k/ O/ R% u- T* e* I
plot 09 ?3 f, x9 d. m' W2 b* h
plot 100( n) Z5 y5 T' F% j! ?
: w1 X( H% L2 T& v3 h4 h# d9 }* s
set-current-plot-pen "lorenz" t6 _" h+ Z @/ I3 |, }; {& {4 p
set-plot-pen-interval 100 / num-people/ h# M' f8 V7 X1 m
plot 0& o* _$ k! V8 }0 I+ B+ B, z3 e! n+ P7 E
. y. f. }" F- `" n, I let sorted-wealths sort [wealth] of turtles
- G' \. T& }/ g" v. ^1 v let total-wealth sum sorted-wealths% B! r0 C2 S* c$ ~ r
let wealth-sum-so-far 0% B1 L! G* l4 C3 j
let index 05 m, Z5 M% S! N! v+ }
let gini-index-reserve 08 }% p# r7 l0 W! e
2 I% t* l+ \) f! l repeat num-people [7 Y! y8 _' o& m: |
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)) e U' h+ N+ h8 `
plot (wealth-sum-so-far / total-wealth) * 1001 p' h; [: [' I0 u
set index (index + 1)
+ A- j& A# J: J p' ?* Q1 X3 u `- x! f set gini-index-reserve
O* [ w& I& N7 Y. A gini-index-reserve +
$ P5 K0 W& Z2 f, \: f8 A4 n1 }/ k3 M (index / num-people) -
/ o. J: ^$ Y( r: K7 R (wealth-sum-so-far / total-wealth)6 y! i# n7 w7 N% k4 I v3 m
]" T- ]9 M# ^/ K
6 {# w8 u; z" c1 `$ {
set-current-plot "Gini-Index v. Time"/ @2 K" V0 ^' U$ Z( e& u1 @
plot (gini-index-reserve / num-people) / area-of-equality-triangle
5 ?1 a0 n) W9 Send! L: C& m# E2 v b
to-report area-of-equality-triangle
' t4 M: g1 H% E report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
" {2 N8 [) A- i& d& K, Rend |