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 B5 Q: ]( D: p- Q- ]- a- b
globals
1 {" ~! i# p+ I9 R1 z[
/ i% d6 e- b! w) _1 b9 q( f& r max-grain
, }! g' V0 {& L0 x% V
& _. Q/ ~& j' P. []* z8 p; t$ N+ y% G- R+ A/ c
# [6 q4 n. e6 N9 F4 K( ~
patches-own! j$ F3 j# C8 f+ b
[
* E% C6 q d6 K: G1 [" s4 N; L( [9 d2 Z grain-here ' \$ ?+ T8 d% x; z/ L% ^" {* n% [
max-grain-here 6 U" o, r; ]1 ~4 Z/ A
]
/ y! x6 ? X& G" C
4 p5 U, T' }$ o7 F4 tturtles-own/ w- ~0 R' I9 v% ]& s9 l
[ P- b$ u& L2 r" @2 T z
age 9 g& _: X% u/ f3 u& ?+ T- m
wealth
% ]# \/ m, U, E- o life-expectancy
9 Q2 i) g3 ^6 H4 R5 Y) k metabolism
7 W# \6 a9 |7 H( G. W vision
3 N& a, O6 c0 `2 }4 B' W) w inherited $ x8 w# k3 H5 o; P2 f6 B: p% h3 x
]3 `+ w& A2 H m6 e. j2 Y
5 J" \/ `/ _2 S, @- A# i2 ^8 F
3 x" c) S# f3 G! E# p. Mto setup) t0 i/ C, L" _6 `0 }
ca- G" n2 I. `4 s" w9 L
set max-grain 50
" T7 s" l; _7 F6 U# k$ n* A setup-patches* r+ K! a7 T7 @( L9 b
setup-turtles2 W0 j: U" |' P# m$ R& ?
setup-plots0 L0 I6 Q4 ~; M1 [. B; q
update-plots
2 `9 o# _9 ^. V% K9 ~) W2 mend- {7 u1 l d/ y/ L* z6 W
to setup-patches! ?3 P* H) u5 J& p" r
ask patches! H, P1 a( O9 K V% X
[ set max-grain-here 09 ~7 _( Y8 N6 C& A1 f
if (random-float 100.0) <= percent-best-land. I' f( o+ z# Z" ?% @3 u
[ set max-grain-here max-grain: |( L. K+ w: c7 s
set grain-here max-grain-here ] ]' g+ Z( d- Z" I9 v- F+ O, U4 m
repeat 5
1 p F; u( E' w0 j [ ask patches with [max-grain-here != 0]& e: V4 Z5 r6 c+ s
[ set grain-here max-grain-here ]4 f1 [3 \4 D6 E, q
diffuse grain-here 0.5 ], ^; ~4 P& n6 o5 }+ `& {
repeat 10
3 l# g4 h, K+ {* H4 G% m# @5 h [ diffuse grain-here 0.5]
2 T0 u0 E: A) y+ N# I9 U9 y# L ask patches: U$ J4 Q3 K4 x. ], E* p
[ set grain-here floor grain-here
: ?, r- E, O7 Q4 t' U; h set max-grain-here grain-here $ r# d+ K! w. F q2 H9 Y
recolor-patch ]
7 Z! n, j( s+ h/ lend
, }0 Z0 w% ?" Q/ k a0 }* @to recolor-patch
: Z# k% Z D/ Z1 [. {0 T' [ set pcolor scale-color sky grain-here 0 max-grain
5 I* ^) A8 M0 C5 u- A( eend
" E4 }3 m d9 [; V4 S' Uto setup-turtles
\! m: ?5 u" N set-default-shape turtles "person"
# B n$ b: S6 i0 m2 ]/ H crt num-people
# ?4 n2 k! `2 v+ [& b2 o3 W [ move-to one-of patches * b. J5 D- b& H" r; h7 R
set size 1.5
6 f+ ]5 w5 L; e1 K# e set-initial-turtle-vars-age0 C6 e9 a, o. P1 c5 g8 {/ l
set-initial-turtle-vars-wealth6 d, n( J& ? F7 i6 [! _2 @! I
set age random life-expectancy ]
@/ M' t) c6 x! O2 a recolor-turtles
* g ^; J3 K I3 ^$ V- t5 |: dend
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to set-initial-turtle-vars-age/ L2 L6 `% H$ N! Q
let max-wealth max [wealth] of turtles
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" p, Y! ~5 J( ]3 r: k" y1 w ifelse (wealth <= max-wealth / 3)* k* {8 r) p8 j6 P! n* h% o
[ set color red ' }) R5 D2 }- g! x. R5 j: D; k
set age 0) V9 _# p5 q. X7 s" {
face one-of neighbors4
, f7 U, q" v+ e. L5 U- [% h& n! \ set life-expectancy life-expectancy-min +" S9 C8 _; G* t& S2 o; \
random life-expectancy-max
5 h& P, {0 g5 c# D; e set metabolism random 1 + metabolism-low% i( e5 n0 J' n0 g8 a7 ?& m/ ~
set wealth metabolism + random 30
# F l6 g. T: j2 t4 U) i# E& C" A set vision 1 + random max-vision
8 o e, F/ z% F! D6 E+ @% ~0 } set wealth wealth + Wealth-inherited-low ]
4 r1 s' Q' ^8 C3 T. M6 h [ ifelse (wealth <= (max-wealth * 2 / 3))
$ L- q4 i2 V" v" ~ T: D [ set color yellow ( |+ o5 y; ^$ a3 x$ w* \
set age 0
* z6 C7 z1 F1 U X" g3 s+ W% Q4 B0 E; F face one-of neighbors4 * q/ O, E5 d! }# U. r
set life-expectancy life-expectancy-min +3 [) ?4 W9 S* [2 M. \. H
random life-expectancy-max + 1
, F( n4 ]' Y8 { set metabolism 1 + random metabolism-mid+ S. s8 w% Q, s8 r8 v9 Z
set wealth metabolism + random 30/ B1 V' D" G }8 d. }: x
set vision 3 + random max-vision1 b1 x1 |3 ?: g: v" }. O+ U8 y" t
set wealth wealth + Wealth-inherited-mid]5 X/ O# P9 L% ^
[ set color green
. ~. V" m) [ t" Y4 |' p# G set age 0
+ o+ k4 H& z8 L4 s) x5 M0 e* ` face one-of neighbors4 ! ^) g* C" Q( T; i- G
set life-expectancy life-expectancy-min +
8 J2 y" g) ?! R! H+ L& g7 e random life-expectancy-max + 2
0 |: b& f0 G& P7 N% ~. D1 H o set metabolism 2 + random metabolism-up
2 U; f3 s, s: D! w set wealth metabolism + random 30$ x e D9 y3 L/ Q
set vision 3 + random max-vision. M$ L- t6 S) n5 Z( P0 m
set wealth wealth + Wealth-inherited-up ] ]
P1 r X: P0 O s" X& s4 N9 j
: ^1 f( U) R* y/ {* Oend/ g# `% W: w8 b3 h: s: E
to set-initial-turtle-vars-wealth
2 v9 H# x8 W' ]: K5 O let max-wealth max [wealth] of turtles# p9 T3 E( g( v' m
set age 0
, s" o8 W. X4 r0 V; o face one-of neighbors4 # u% F* _" U# ^' Z9 _8 @5 f3 R
set life-expectancy life-expectancy-min +
3 F1 W+ d2 K) j, e7 S random life-expectancy-max
8 V9 F1 P) R3 Z4 {. t/ |8 I set metabolism 1 + random metabolism-up+ k T! g Z( _
set wealth metabolism + random 30
+ k, `+ g- K% }. S6 f M: i C set vision 1 + random max-vision 3 i6 r, B* X* b, c5 [! q- W8 v& G
end" h, b2 G# g c* ^4 E
to redistribution' s0 k3 S" ^3 ?! `0 k( x( q3 u0 A/ O
let max-wealth max [wealth] of turtles
* |. j0 i) G/ U/ n5 ~7 X- V9 }8 jlet min-wealth min [wealth] of turtles
" u, R0 W2 B5 bif (wealth <= max-wealth / 3)
" l* Y' H# ?; _5 H9 \; o8 t% R- i* | [set wealth wealth + Low-income-protection ]
. o& G: o# O! h5 E' ] Nend+ l: h5 ^: V) y0 P1 e2 l3 [5 K( s
9 t7 T: x, [* C
to recolor-turtles
' |: k0 L, D5 v0 [! x5 }" z let max-wealth max [wealth] of turtles5 ?* A3 O2 q. [0 r W" y0 u
ask turtles
! @( b a0 }5 {; @* e" O [ ifelse (wealth <= max-wealth / 3)7 q: w* d$ B0 {* z6 O; K. ^
[ set color red ]
- E6 b3 O, f0 Z: S ]" C6 i5 L2 w [ ifelse (wealth <= (max-wealth * 2 / 3))
- C, O7 ^! k1 K) b5 k [ set color yellow ]
: S7 a$ f3 C i- a [ set color green ] ] ] C7 w3 u3 _+ S7 Q% x; z
ask turtles [ifelse show-wealth?) {, r4 g3 r/ i8 r
[ set label wealth ]! F- N1 l: X3 J( n g1 ?
[ set label "" ]]
, e; J. s8 x6 F/ uend
3 l( _; @' a: C1 [$ M) P6 S( Q3 K; {
to go8 S' I9 g% a0 V
ask turtles' [* n9 @' l1 U: L) o4 V/ z
[ turn-towards-grain ] % g- |0 Y' e- Y; T- q/ P% Q* D, f4 \; B* e
harvest4 n a, F. e; h1 `/ C4 i5 `
ask turtles
/ q1 k6 D: w2 d% d# E4 O# ^" ^! I [ move-eat-age-die ]
, i$ l9 ]4 E" S4 f. t3 ~ recolor-turtles8 }7 M' z1 b- C* f) Y$ e
if ticks mod grain-growth-interval = 0
2 Y2 y$ M+ N# j9 _' n0 L [ ask patches [ grow-grain ] ]
/ K: |; f" a( o. T# u/ u
6 v2 Q) S2 i: q7 w if ticks mod 11 = 0/ q( ~" E) s) ]- V# ^
[ask turtles& m3 B% I9 m# x
[ redistribution ]]
* n* L! B5 p; ? if ticks mod 5 = 0
; M& O0 X- P8 ^7 W! y7 m [ask turtles
# h/ P. n( x6 }" D* Y% Y/ d [ visions ]], Q( @ b! c! R% t" f5 f& Z, P! j
tick
% Y$ t8 d( L( @, n O6 c4 ? update-plots
4 C L% P( J$ H+ ]6 d4 S/ Q2 d( I4 Kend/ h+ b/ L- Y; R% A, ~8 Q
to visions
$ R4 g7 i0 \; R7 g6 C set vision vision + 1 1 R& C% c' |% c4 Y$ Y7 V3 |( n
end) d) R: M, M2 Q
( Z5 Q5 k1 v' {0 o' L- I
7 G) c) E) L2 e. X8 f& `
- }2 ^. u7 f* P/ m& x0 Dto turn-towards-grain
" h- m" L$ E7 T: i2 u7 M set heading 0, N: W6 X$ S1 ^7 E
let best-direction 0
+ \/ n& @7 e9 T6 }! e4 z let best-amount grain-ahead$ R% X+ u+ p6 E- [' k; O# d
set heading 90# W6 t) s: F4 i% Q
if (grain-ahead > best-amount)
# t1 K- Y9 m; L. G+ F: ]! e% S/ R, p [ set best-direction 90
" \- w# ~ g" R6 b set best-amount grain-ahead ]% d' a, ~& `! {1 i3 V# }7 f+ A3 I
set heading 1806 Y( A+ P% K8 X
if (grain-ahead > best-amount): l7 U9 g8 @6 {8 d
[ set best-direction 180
7 ?( f: O3 T+ ^8 z& H set best-amount grain-ahead ]
% _; k$ c6 Y# T+ e+ [7 ?' h% U set heading 2702 ?0 h+ X$ F3 L) z8 R" L8 w/ t. P2 a
if (grain-ahead > best-amount)( D) f- u0 f: X) U1 K
[ set best-direction 270
( C4 f4 h2 m+ K4 F7 X, [ set best-amount grain-ahead ]
3 O8 u- R! Y1 O, V& Q$ r% U set heading best-direction
5 T' h' B( p( S6 r2 Z7 Z+ x6 Zend* E) _: q; L' u0 K0 S: N" w
: a/ X2 W! g0 V0 i6 g+ [/ P5 h
/ [: P- M: s3 k0 I2 u( b- xto-report grain-ahead
. a8 N5 ]" O2 _5 E8 X. t let total 0+ ]2 J1 K$ ~4 i( w* ]' k
let how-far 1
c7 m- W% K' y/ w2 X% L repeat vision
q# u: t* C: C# N' O [ set total total + [grain-here] of patch-ahead how-far
, N" M% W" n! k set how-far how-far + 1 ]% x) ] H/ B0 ]. W) N y
report total
& _! f) v+ V# C7 z2 ?; v8 lend
/ b( V; k/ p3 ]+ p0 d' M
( l7 W9 L; Q( d5 M3 }+ K7 P# Vto grow-grain / J) R: g4 ~- O6 }3 ]9 h
if (grain-here < max-grain-here)( I d9 U' d' F8 A
[ set grain-here grain-here + num-grain-grown9 a) \ U1 s: F" `0 v4 h$ \
if (grain-here > max-grain-here) 6 ]& C9 T, I& Q( `8 g1 T4 Z
[ set grain-here max-grain-here ]
# x9 a: _1 l: q0 z& I" g) J recolor-patch ]6 V1 K/ l3 U* C+ O% T) z, Z
end
+ ]. p/ V6 u0 M! Tto harvest
* d1 z9 q& u% w: f) r% X ask turtles
* u. u4 r6 q# R! O0 s7 s2 g/ K+ _ [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
" `) b; ^- s6 Q$ ^& U+ E, v2 g ask turtles
7 n0 G. w1 r! ^# m [ set grain-here 0) _- h0 S# P/ j
recolor-patch ]7 W5 l, v$ r, y# g; y
6 i6 v- [* F& J o! R* yend
* W) `5 Z. X+ L- h& H4 w- m: a$ \$ _2 w/ v0 O, p4 M9 D
to move-eat-age-die $ y8 r/ [/ _" n5 {
fd 1
1 m2 Y2 U0 m7 ]% V7 k9 r$ ^( u set wealth (wealth - metabolism)3 J5 r9 |2 T+ B* z) J3 ?$ Y/ R0 H
set age (age + 1)
$ d% S+ T* M% q- S/ I" S3 G if (age >= life-expectancy)
! Z& K- q: @3 p" N6 t( E [ set-initial-turtle-vars-age ]4 { ^' U& L+ D; g& e
if (wealth < 0)0 a% a6 _5 \* O, ~5 K
[ set-initial-turtle-vars-wealth ]- H! `+ X# m7 ^/ ~2 z
, y8 q" p1 U$ Q7 ]% j0 |8 |5 Y- \
end) O7 |% u% M8 [
, V, b9 F: s" A& u# |6 T: Q
) v: c! k$ _1 T# j* b6 fto setup-plots
0 R$ x, n* f, B1 W9 U# c* W set-current-plot "Class Plot"( S) o) D" ^) O
set-plot-y-range 0 num-people
+ m' O& |4 ~, w% q set-current-plot "Class Histogram"
& u: P# c/ J" S2 P5 V set-plot-y-range 0 num-people
3 V9 Z7 y8 E. p9 y' ^& Nend3 b- N( y/ `$ q
0 J7 L4 B2 L4 P. e% f' F! t/ e
to update-plots
X+ s4 u' f3 j, p7 x update-class-plot) w% F9 U `3 j7 J$ x3 H4 O2 u
update-class-histogram
" m2 M, t) S+ y0 S$ h' p6 ? update-lorenz-and-gini-plots
* ^0 t$ O4 ?- ~/ |2 I/ Oend6 I6 m. n0 z- k
* M0 ?2 G5 o# e8 O' _3 Y: s, q
to update-class-plot9 W5 o8 d. x' r5 {' o# I+ c
set-current-plot "Class Plot"( X" [1 e$ o7 Y# y( t' O; b
set-current-plot-pen "low"0 ^% M" `$ J+ o' C! C K9 O
plot count turtles with [color = red]
3 D. O6 B2 d. b7 h. { set-current-plot-pen "mid"
# M$ B a6 \6 Y6 _1 r plot count turtles with [color = yellow]5 c9 A. q3 _. }+ ~# D8 c- d
set-current-plot-pen "up"" e) z# X$ K9 t
plot count turtles with [color = green]3 p) I8 | W. i! p2 c
end
. Q7 D, \3 e/ c( X+ I) R$ p
: ^! S5 C8 \2 ^8 _6 ^to update-class-histogram
% a7 ?7 h9 E# } set-current-plot "Class Histogram"2 N% s% ^) c K9 D8 {1 f0 g; h
plot-pen-reset6 n8 q2 `8 C9 d8 S0 j; r3 y
set-plot-pen-color red; [& ~, h7 T: k0 f
plot count turtles with [color = red]
+ J; |6 {% a, p6 g set-plot-pen-color yellow
6 t$ @" @3 x3 E plot count turtles with [color = yellow]
7 Y" O1 ~: J1 |9 h- E; S set-plot-pen-color green$ v5 e6 l3 T' A
plot count turtles with [color = green]
, B- K% e4 [: [7 u3 i0 I- i3 Uend* ]9 g: |& x) J0 o+ A
to update-lorenz-and-gini-plots
- W0 k# M) u$ y1 O( I5 @ set-current-plot "Lorenz Curve"
' ]* J. G3 z: l; A clear-plot- A; p( D% D. R9 }6 I) o( W& z0 J" f
0 J/ h/ u# q( J; t* e, ~
set-current-plot-pen "equal"# u+ e/ C! ~5 g
plot 08 ^% _& I9 ?4 T% g1 b; Q8 P9 t
plot 100
" r% X9 l# X3 t6 s* x- x: w
6 V& a( Z, k6 @0 M% h8 ^- S) P set-current-plot-pen "lorenz") I- }% T; m& p. ?
set-plot-pen-interval 100 / num-people
0 g& w3 G. X/ @! }) Y* F plot 0
2 M* X, r7 K1 e9 P1 t! C0 ]
/ s5 R/ t5 f/ N& K+ F. s- [' J let sorted-wealths sort [wealth] of turtles
: g# j4 c) f2 l' q2 ~7 Q let total-wealth sum sorted-wealths; e* a- Y, A, e& [( h/ }$ N
let wealth-sum-so-far 0
8 L, V) ]5 T) d5 f3 L let index 04 q/ d1 T k" w; J
let gini-index-reserve 0' x- [% H1 L [. c' `* n
) w! G$ [. X- X5 m) J8 N' {
repeat num-people [( _, v7 w2 c. Q% B! |7 L7 ]4 y* X% p
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
: y q$ y8 J2 W% ?' _8 C plot (wealth-sum-so-far / total-wealth) * 100
2 d2 P( M8 @8 o+ `5 G4 {6 n set index (index + 1) f. D( H0 d v4 C
set gini-index-reserve
( P( I0 o' m& R& W# E- v" Y gini-index-reserve +
- V; Z2 |$ R) v' [3 Y6 a (index / num-people) -1 k$ {+ I# A3 N5 t9 R
(wealth-sum-so-far / total-wealth)
! o: Q, c6 X6 v ]. M3 x b' g( j: r g; }) D4 r z
7 S% S& W, d& B3 q; d1 j, [
set-current-plot "Gini-Index v. Time"% p1 T9 x& S. Q& B2 D+ J& S: e8 L
plot (gini-index-reserve / num-people) / area-of-equality-triangle
) R! \- ^& v) t. Dend
( e/ O9 n8 b8 t. ^to-report area-of-equality-triangle: d! H8 j% c' C& z7 l* {) b
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)4 S+ F9 q6 o1 h) _9 ~7 p
end |