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; J+ C7 o1 C/ L$ i, i) u
globals
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9 g4 Q6 y, w2 K- d+ {% j% o max-grain
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patches-own8 e5 i+ b, H. `6 T0 p, \& @
[6 V+ [' ?% M2 a
grain-here
& Z7 F- P9 Z8 D5 a2 N. f0 @; ^2 Y max-grain-here % H% P( d* A' ~' \+ t
]
1 D+ y6 @3 e" E) u- Y+ y! I' l' V% T
turtles-own
: X# |+ f _0 Q. s" m% X/ {& x[
: }+ z! v7 }; w" o9 L, q; {; o age
& p" T; P9 h5 L m+ }( T wealth ) r+ A6 C" w/ s; u. P" k, \0 E
life-expectancy 9 w2 E0 c G5 Y' Z' z7 R2 {1 V
metabolism 2 B! I* y0 e3 n% l
vision
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to setup4 T. Q5 Y5 `" i5 I) _9 K$ ^
ca
6 m# Q$ x% w. X9 _0 J' R set max-grain 50
" q! q, m. {* I- h9 j+ A setup-patches3 _6 d$ B1 Z/ H% N
setup-turtles
. I8 b8 t f: R# Y; |9 ~ setup-plots! A" x6 J" ^1 s4 w6 ]* S
update-plots
6 _ S6 ]0 J- I/ I( o7 S2 q- t& ]5 A; Nend- o8 Q1 p% ^& N& |
to setup-patches& D) N7 ]6 c' u: T
ask patches
. b) d$ X; D" j0 H& C [ set max-grain-here 0
6 _7 L6 g4 T8 h if (random-float 100.0) <= percent-best-land
' }+ ?" Q% E0 Z) T5 A [ set max-grain-here max-grain
4 t/ q4 e4 U N set grain-here max-grain-here ] ]
, S3 |3 d( T. D9 z) E. Y* v repeat 5
& A) S/ N/ ~* _% n/ p [ ask patches with [max-grain-here != 0]
9 {+ I- `( o; H [ set grain-here max-grain-here ]
& w, M7 X& P; p diffuse grain-here 0.5 ]
] C- ? t- G- \3 e8 b repeat 10
: Z. X$ |3 \+ D# H. x/ P3 z/ ] [ diffuse grain-here 0.5] 5 {! E0 C0 a6 O6 Q0 w
ask patches0 G+ |- T. J8 U, l) W' ~6 B4 p
[ set grain-here floor grain-here ! V S; {8 ~% R8 p! e3 G( R- P0 g
set max-grain-here grain-here
" v0 n! d! e% q9 K& X recolor-patch ]
* F* b- a& f: h+ k, m) `( eend
7 J* {4 C! n, J# `' V5 Dto recolor-patch
, U/ [* ~2 k1 x, u5 U6 q% }, u- g set pcolor scale-color sky grain-here 0 max-grain9 e6 ^' o" h' S7 U
end* r3 n, p* I- Q) o; } t* y0 A# z& Y
to setup-turtles
1 {7 g9 D- x' m% Q. P# j set-default-shape turtles "person". H) E5 w! U) ^7 T8 N7 S
crt num-people* j" i: j& e* q% n9 T
[ move-to one-of patches
! J8 X7 ], A* K! v; }1 K$ V set size 1.5
. u/ u/ b" p- T/ _" v set-initial-turtle-vars-age6 d" T8 K% J* q) z& T. |5 _9 X
set-initial-turtle-vars-wealth# G# _+ |2 L& t# M' _
set age random life-expectancy ]
8 z5 N6 p+ Y5 K- @2 Z recolor-turtles
3 T5 e, ~( `: S0 ]end& K. R* P9 M$ b0 e2 A
7 P5 |, H Z* \+ z* o2 w! |7 y7 u$ Xto set-initial-turtle-vars-age
6 Q: ]' t9 B8 r5 i let max-wealth max [wealth] of turtles% v% B: z2 t9 g8 J% u
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ifelse (wealth <= max-wealth / 3)
" J4 o" E/ Y+ v7 O0 Z3 Z [ set color red
" z4 k* B% v- C. q; c( C$ w5 P set age 0& x& U& j1 p- X \2 H S! z9 E
face one-of neighbors4
, I u2 ~6 h$ P1 O set life-expectancy life-expectancy-min + D! _" h2 Y G L! U
random life-expectancy-max 1 D% n9 f c3 ], q: T
set metabolism random 1 + metabolism-low" w2 K" ~- B7 _% t9 f: `
set wealth metabolism + random 30
1 t& q2 G$ i' y c set vision 1 + random max-vision2 C6 ~$ o7 J9 T2 B1 j, g
set wealth wealth + Wealth-inherited-low ]
# I6 Q% Z' ^# g [ ifelse (wealth <= (max-wealth * 2 / 3))
! q g& i6 r3 I7 v; K [ set color yellow : `. V% a- W. q
set age 0
: ^9 ^( Q# z! h face one-of neighbors4
0 U3 U( P6 M1 J1 | set life-expectancy life-expectancy-min +
$ b0 Q3 b/ \' ~ random life-expectancy-max + 1
7 B& x! y3 a! K. m set metabolism 1 + random metabolism-mid
# O v$ u/ @# E5 h( ?0 d4 C set wealth metabolism + random 30
' B' k; j. P/ Q) Q0 D/ L1 i0 g set vision 3 + random max-vision2 p) c6 _- r/ ]8 H
set wealth wealth + Wealth-inherited-mid]
6 [# ]: a3 i/ N- n* } [ set color green ; R1 l/ f+ Y( B3 i; N, C5 l
set age 0+ p# K# Y( f& J- B7 `. v
face one-of neighbors4 " u$ n. |/ k6 V4 z) _
set life-expectancy life-expectancy-min +0 D4 G; F; C+ i! Z9 N4 Z) F% M( u- W
random life-expectancy-max + 24 W! L8 n; l' N3 m3 ^
set metabolism 2 + random metabolism-up2 f$ @: y2 d0 b9 f8 V9 C
set wealth metabolism + random 30
& X8 ]6 Y4 i% s set vision 3 + random max-vision
' ^, m" q- S+ k1 W5 V( B! n" V set wealth wealth + Wealth-inherited-up ] ]
+ r3 Z j! R0 n1 }& F: `, N$ D 3 L( w! u* e! @
end
, p! z% B( |: I6 g5 O, M) Kto set-initial-turtle-vars-wealth' Y" e. x8 ~, _9 Q" a
let max-wealth max [wealth] of turtles
* M+ R" v! f+ p1 C; l set age 0 R0 L1 Y' U' p5 Z' i
face one-of neighbors4 * G) x" C/ g9 L5 w9 G8 o- k* h' f, I ~* J& Y
set life-expectancy life-expectancy-min +$ v" E% y) K) S2 `
random life-expectancy-max
! W6 i p$ J- s; \) a set metabolism 1 + random metabolism-up7 N0 B! J* m9 G1 \6 \9 G$ w" g/ a
set wealth metabolism + random 309 R( i2 ~% p6 `2 _' ~# Y
set vision 1 + random max-vision , m) w6 ~% Y" K: h2 B( x
end- I/ _4 Q D- p
to redistribution1 }4 Q8 n( M% {9 f5 q
let max-wealth max [wealth] of turtles& I* p1 n, T% c# r
let min-wealth min [wealth] of turtles6 N, B- p" w; P1 W4 G9 e k
if (wealth <= max-wealth / 3)
7 P9 g' Y5 }0 d5 d; W [set wealth wealth + Low-income-protection ]* [5 u1 p" T" ~1 ]* `% B
end
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to recolor-turtles7 j* e( H o: t! n: ?- |
let max-wealth max [wealth] of turtles
/ S3 j1 ]$ [! g ask turtles Z- j5 B! `/ }# S, G2 Y8 Z% _
[ ifelse (wealth <= max-wealth / 3)
( j( Q# d& p; b [ set color red ]
5 u" M7 J" `2 b/ d/ J% c [ ifelse (wealth <= (max-wealth * 2 / 3))
$ [. J& z6 c) @/ x4 h/ f [ set color yellow ]
. A+ Z% N5 m w8 s$ @& | [ set color green ] ] ]8 V; C* F5 n. @9 M- k0 O6 l
ask turtles [ifelse show-wealth?; p$ X, h. c, |2 p9 l+ A N/ I
[ set label wealth ]+ g3 D @ N; g
[ set label "" ]]1 e' Y# c& `2 s! r1 L4 n L- s
end% `( C& {7 e. w) i9 k: E
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to go9 ?: J5 w1 R$ q* {( F! U$ q
ask turtles3 n+ U4 C* b1 p' h- K! e
[ turn-towards-grain ] : a$ C$ T+ y! d
harvest
) v6 ~3 _9 y" F0 k/ a' n3 W; { ask turtles( p) s3 A! x7 w8 k
[ move-eat-age-die ]+ d0 D1 R, E9 _$ \' x. {
recolor-turtles- x& P. @) r' d9 J. h- C
if ticks mod grain-growth-interval = 0
5 ?. y" Y- a: W4 E( C* c( g( B* M9 C! q [ ask patches [ grow-grain ] ]6 L9 P0 g3 e# w, ~
- z; x2 f7 e6 h) t! p4 S* ~ _; E1 ~ if ticks mod 11 = 0
. P: v, N$ j% z# I# ^ ]. C [ask turtles/ K& I6 k6 {: q8 m2 P% M
[ redistribution ]]
' ^6 C( K2 V& y; S8 o" ^* F r if ticks mod 5 = 0# C. W) p) ]/ F- O2 u$ I
[ask turtles
# B9 a! H' w, b1 W3 l* X0 ~5 r" n [ visions ]]
" _4 o0 y. s( \$ V# ] tick
% P! o, v' I) ?- W7 k( i update-plots
% L! g. e3 V$ o# R+ Nend7 v. I) t, E3 j! G$ @
to visions8 _/ q( F. q1 g& R% Y
set vision vision + 1
3 {6 x% c" [% E( ?0 o( _4 s: z9 gend y3 B' j0 ^0 U9 `
: o6 H( [( h- K" d% Q, g8 u. C2 T" i# p$ V. V2 B0 y4 R" a2 m
6 j+ D5 I7 d: r$ tto turn-towards-grain 3 R P+ T6 i7 g3 J, R8 |; A
set heading 0: d* I& @9 m5 R1 U5 q
let best-direction 0
# O- z( B e) a8 | let best-amount grain-ahead, D9 Y! [3 _4 {: b- ?$ k
set heading 90
5 _8 q( j8 Y% M( L: F$ I, t% G7 T if (grain-ahead > best-amount)7 [& @4 y9 }0 W
[ set best-direction 908 X+ h9 j5 L$ k+ O
set best-amount grain-ahead ]# H5 {1 G! F, t& A! ~
set heading 180
9 p3 c& v. r6 F- e if (grain-ahead > best-amount)6 q: [, g+ t; S- s& S9 D0 p
[ set best-direction 180
# U' r7 e" q9 ^' Q set best-amount grain-ahead ]
* D; w0 t/ D: u) ?+ ^" i set heading 270
5 l* w. P" K& | w if (grain-ahead > best-amount)
) G5 S6 B8 R' ? [ set best-direction 270
$ a. r: u7 d& j& X. Q0 _ set best-amount grain-ahead ]
$ ~3 f& C" M7 q7 p set heading best-direction
8 a! p. M3 `) w, U2 P. R) R! gend; k0 a3 n! k) J* d
6 j) b5 G: E; |0 k2 q* m% {# s
5 R4 X7 E& {, u! Bto-report grain-ahead
& C5 _' \* [- _" x3 n5 a+ x: X let total 0" ~4 V, H$ v3 E7 ~% _
let how-far 1
! E% M: O6 V+ ~( U/ B repeat vision) V: h) {' x# w9 m, V& C, ?
[ set total total + [grain-here] of patch-ahead how-far1 }1 ]8 b' K2 H" X
set how-far how-far + 1 ]
8 j B& W q5 p* d3 u3 \ report total# W+ R& F: j s; U6 x
end1 m- A, {) u- l& h2 P
7 F/ P. Y8 d' tto grow-grain
$ Q$ p+ W0 x& W% R if (grain-here < max-grain-here)9 H8 x. P& `4 A* Q! p7 U0 [
[ set grain-here grain-here + num-grain-grown/ o7 r! I/ N" j8 X& a
if (grain-here > max-grain-here)
9 `5 D9 k" r2 s' h' `6 O3 G4 w [ set grain-here max-grain-here ]: }5 c# }+ q& ], c% s
recolor-patch ]
4 ~4 K7 s' r/ m' b! ?( g4 Iend
5 I* z4 c; w; C Jto harvest/ {8 ^+ r' `3 K( U
ask turtles
3 R: @% ^8 e- g. m [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
; G9 k& [9 Q8 w0 r ask turtles
: P) P& Q! i/ x$ F3 t# x( P [ set grain-here 0' u# K( w; u, n* s
recolor-patch ]
$ q! M8 V; O7 t: D7 n3 z0 B8 x- s ! u1 x% C( _( u7 A9 K
end& ^4 Q$ Z. g0 d( Q+ c
& I2 m6 N! m8 y' `# Dto move-eat-age-die 0 R$ ]/ z! U# v4 |' i
fd 1
: T0 K- k0 u! { set wealth (wealth - metabolism)9 w7 ?5 R0 Y* \
set age (age + 1)
' L" _% k+ O# \0 M3 o8 l if (age >= life-expectancy)/ R3 J. O4 ]9 e( u; Q. z) h7 b
[ set-initial-turtle-vars-age ], e6 D; c% q& W" L& `- V
if (wealth < 0)6 r) P1 I( o1 F& i. o
[ set-initial-turtle-vars-wealth ]
+ w% I# ?% t) J" S+ | 3 _) i/ d+ u' C8 e2 x$ f
end
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, \- i6 G$ v- B6 s& z. q) `$ `
to setup-plots
' r" B. I' _5 }1 g$ o2 _0 v0 ^# I set-current-plot "Class Plot": g& ~) {; K3 q
set-plot-y-range 0 num-people
4 ?( G! \5 X4 V7 ?7 A* {" p, v# l set-current-plot "Class Histogram"* e; \: A9 B2 \6 Z
set-plot-y-range 0 num-people
) l. S0 g/ d& b% `# Q8 ~end. A! [: z# ?9 y. }& e
/ p7 _* F* U* b
to update-plots. d* m! u7 i4 d
update-class-plot. B9 p% H- G) g+ }
update-class-histogram
9 y. K( ]4 x8 q) U3 N* v8 j update-lorenz-and-gini-plots
1 u3 I" u* \+ H( w, Hend
: A0 Y4 _; j2 q3 y$ ?* o1 K5 q/ t7 R7 ]4 G& Z
to update-class-plot' J$ @6 |: Q. A2 |: j( ~9 ?1 U2 E
set-current-plot "Class Plot"
9 p$ h0 R9 { F! r+ m- G/ u4 A9 v set-current-plot-pen "low"" `9 |: a& D8 [! U
plot count turtles with [color = red]
! b9 a8 y. \0 c0 T2 [' R- E1 T3 Y set-current-plot-pen "mid"# Q$ o) F+ h! |) S/ `; R2 T
plot count turtles with [color = yellow]/ a. m, s# v7 M. i. _- m2 _
set-current-plot-pen "up"5 V! H& B8 g2 E7 t* X( K$ b1 ~- D7 `
plot count turtles with [color = green]
" W o# F3 h. g( D: U5 O& Zend
" m6 D5 t) g* |$ @6 S3 H' _
5 M# M5 H, H+ j( ~! O6 k) M( @' eto update-class-histogram
+ `' y( U, E1 l# a set-current-plot "Class Histogram"
+ b7 K5 @- \6 c+ Q- i) Q+ ] plot-pen-reset3 }- \ m: E( u" Y7 _: d) {, L
set-plot-pen-color red
7 [9 O! \4 ]6 s' K; W, q; Y5 i u plot count turtles with [color = red]
7 F: V$ }# J9 W+ T' k ^ set-plot-pen-color yellow
x6 Z' T6 x0 ` plot count turtles with [color = yellow]
; ?7 J* m1 L7 X3 a) c$ g! l# [; E set-plot-pen-color green% T- H1 ~! |) Y$ D
plot count turtles with [color = green]
7 q/ }1 P. B9 Jend) g. O* D0 k' R$ n3 }9 C$ w7 o- d
to update-lorenz-and-gini-plots. M7 c& m& ?' ^$ Q
set-current-plot "Lorenz Curve"
1 [0 W" a ^7 h6 d! o clear-plot, |& N2 Q- q9 P( V( l( E
+ R$ ?% }1 C" s* o
set-current-plot-pen "equal"
, O+ h1 n- K+ \; r# J/ ]4 Z plot 0
) h4 V+ x( C q6 O/ O plot 1004 h" c \5 @9 K
' C& M2 o7 D% D1 L* C8 l' b
set-current-plot-pen "lorenz"
/ a' k% N1 f( P) w4 ` N set-plot-pen-interval 100 / num-people
* A- Z2 B4 g' m* Q plot 02 W6 Z$ Q; ^" O6 r
& A5 v* _+ o$ |+ ]8 P4 Y: S
let sorted-wealths sort [wealth] of turtles
" E7 G w7 K/ S9 l) G let total-wealth sum sorted-wealths
1 \/ y& g: ?6 _& |) H$ W F let wealth-sum-so-far 04 m6 |* w0 a0 G6 ~7 p K, _
let index 04 r6 h+ Z3 `- ]# `% `- z
let gini-index-reserve 0
2 m1 W6 l* F/ K3 w; N8 ^; y7 N+ t
0 j. ~! v$ }' l& s5 S* ^6 P repeat num-people [4 H) O$ n3 J6 E1 K9 ]
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
: u+ \0 G) r7 P- C% N plot (wealth-sum-so-far / total-wealth) * 100
; X5 R3 X0 C; O set index (index + 1)
6 x, D6 S& P# W set gini-index-reserve' K0 v$ @; B( o9 o6 G
gini-index-reserve +
3 }! u1 @( A. i" A (index / num-people) -
" M% a0 @( _. c" S2 [ (wealth-sum-so-far / total-wealth)
/ Y5 \; A7 e$ j6 j" W! p ]: m2 c- W: z% ^8 J+ s' B! d
2 P. C' Q& E0 l
set-current-plot "Gini-Index v. Time"
( N! Z4 l: `, f$ u9 K plot (gini-index-reserve / num-people) / area-of-equality-triangle
) B# [/ w9 s" q2 @8 z" ?. U" Nend
/ l' J6 ] W; a6 ?9 N% q0 hto-report area-of-equality-triangle9 j7 M6 H4 _- _3 ~: z
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
9 b- s5 k3 A b" ^; aend |