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
3 N! @1 h. ?- [9 h+ b- T, E& \globals
) P, k; A g* U* F& O R$ Y[3 z4 d0 b* A, q, P+ w5 ^1 E7 ]
max-grain , V0 g% y+ W% U0 v: Q
2 D7 _; L7 o$ I* z% E5 c+ }]$ \ P: z J3 b
! \( Y; }0 l% v: N
patches-own
) Q9 C8 b" B u" p7 ?8 ]! z[
8 y' T( e) K' B1 [* w1 ^9 K! n. g grain-here 5 e8 q0 V! R: g# O) C5 G
max-grain-here
$ u3 y% \$ U! }]
5 M0 V0 _; I1 h3 z9 ?4 d9 ^; N
5 S0 g5 [% D6 V! o' V, q+ ?turtles-own; D% y+ `3 ]9 ^" k' L
[
6 a' n R, p$ ?1 l, d age
% E1 n0 P3 s2 Q: g$ g3 W& y wealth 5 t( l# f* Y- t2 K1 c# X0 H1 v
life-expectancy 3 s1 P" `8 g$ U
metabolism
% E9 u# _7 t7 I% J vision
' ~ c, B& V) G/ B( h. V inherited
& _& s" Z) o" _$ E h0 B# U. T6 ^: A]
6 Z5 n% W& O$ g$ ?4 q. @+ v6 ^8 L5 X5 T5 \
. n4 C' K# Y. m1 E9 T1 Kto setup6 ^+ Y4 p7 g2 |
ca2 C( f; \; z7 P. z2 x7 ^5 j
set max-grain 50
& \( d0 S$ x! r setup-patches
: x4 w! Q- }" y setup-turtles
/ e) P; ?% f; S% m( F setup-plots
2 C: S% s2 ~$ p! T update-plots
3 }4 h4 n2 y, \ u5 d5 v" |end
# q/ m" p5 Q- Zto setup-patches7 Y8 i2 S' i) P/ Y! B
ask patches
0 d2 V. \4 Y7 e, X+ p" `- a3 o# Z [ set max-grain-here 0) |% I! x+ `$ l* a( l
if (random-float 100.0) <= percent-best-land( a( h: [& x# z, r9 a7 b `4 R
[ set max-grain-here max-grain
- x% s) W- u& C- g# r set grain-here max-grain-here ] ]
$ w; n0 v4 b4 b5 C repeat 5# w* u7 U* t2 |; x2 P/ K5 m; M
[ ask patches with [max-grain-here != 0]& R; U$ P; A: e6 \, N
[ set grain-here max-grain-here ]
4 o8 \! X* I2 K7 o1 e3 A diffuse grain-here 0.5 ]& |. E. a: ~* `6 s; R
repeat 10- I/ [+ R) ^8 x% Y
[ diffuse grain-here 0.5] * Z4 |2 V6 x: K* K" q$ T
ask patches- X0 Z* i1 S- ` n" g) k
[ set grain-here floor grain-here
) \: c- _9 B# n+ g+ ?, B8 h set max-grain-here grain-here
& Q1 Z& f: h8 x0 P: W$ [ recolor-patch ]
3 D7 F* c: l* K9 h* y( D7 b7 Y) Fend
1 q) W- \' \2 t5 ito recolor-patch ' g8 C: M/ }) J; r" X6 b$ N
set pcolor scale-color sky grain-here 0 max-grain
" ]$ L! [, s+ P5 n: L$ m# e6 wend
( Q; N+ b, b7 V9 h) q+ W8 I$ l6 c- kto setup-turtles! R, {/ J% M% W# N! T
set-default-shape turtles "person"
. ?7 h- r& X5 E) }4 ` crt num-people
% u ^9 |" k* K6 L/ q [ move-to one-of patches * P1 L+ W$ W" |
set size 1.5
7 E: Y& Q z$ s3 I set-initial-turtle-vars-age
( l- ~ {9 w/ w7 h9 d set-initial-turtle-vars-wealth
% B0 u( N1 o i5 n; t7 F9 e! b; i set age random life-expectancy ]
" U. w- C$ |4 M. p3 u! M recolor-turtles4 J+ S* w* s) _0 q; i% Q( X; e' L
end! N/ @9 ^' {( x6 g4 N
; e5 b9 b6 U. @8 A; h5 K9 [. mto set-initial-turtle-vars-age
% [3 Y; b j$ ? let max-wealth max [wealth] of turtles% a! h# z# h* @6 ^; I
8 I8 }. z+ S# O7 G
ifelse (wealth <= max-wealth / 3)' o" r" P$ a0 n( c/ V
[ set color red
+ ]& n; ?" v ~, ` set age 0
( R* k) k" F' P9 S, y face one-of neighbors4 7 ^8 g) b4 F F4 L
set life-expectancy life-expectancy-min +, b( Q: I; Y/ S' V7 l
random life-expectancy-max
3 }) E. \) e: M3 a" P& k& ?* }6 o set metabolism random 1 + metabolism-low& S: ?- F1 ^" [8 K% u' f( L
set wealth metabolism + random 30
. }6 U: w7 e) `5 K6 h% r1 Z8 [$ Z set vision 1 + random max-vision
7 J" J% M" T1 {# C* \7 d5 Z set wealth wealth + Wealth-inherited-low ]; [3 H' L ~9 V: u/ ]: b$ n/ ^7 J2 Z1 o9 L
[ ifelse (wealth <= (max-wealth * 2 / 3))
2 H7 [: t5 D3 }/ {9 z$ q [ set color yellow
7 s" c( q( p2 O: j set age 0
) j+ u. [1 P. l' x. v* V+ E8 n/ \- Q face one-of neighbors4
6 F5 K3 G2 m! y ^$ l" ^5 ] set life-expectancy life-expectancy-min +
) h9 G4 P. ^( P1 N random life-expectancy-max + 1
$ R: {4 o0 \) X+ g set metabolism 1 + random metabolism-mid
1 @* f7 n# `6 L Q set wealth metabolism + random 30, o0 I- S% i2 w1 \
set vision 3 + random max-vision
9 E5 N( c! @6 } set wealth wealth + Wealth-inherited-mid]
1 h2 l6 a1 m' z' z. ^5 E [ set color green
9 P9 ]" M' _( k$ @/ T set age 0
/ m" a& ]; f- W* H5 d; W- }6 _ face one-of neighbors4
" U4 V4 t2 F' ]. n0 E set life-expectancy life-expectancy-min +0 v0 V) r+ B+ f0 z1 W* z
random life-expectancy-max + 2- z/ Q# T7 v4 u9 t6 E2 m7 a
set metabolism 2 + random metabolism-up9 L+ y4 I; ^: r A% g5 |7 f7 x6 ^5 e
set wealth metabolism + random 30
4 I6 I5 {& m5 d! J set vision 3 + random max-vision- [/ Q, P, \' a2 |
set wealth wealth + Wealth-inherited-up ] ]
6 f; {; V1 x+ j3 B: @ 6 x& P) F" p; f! m ]4 h& b {& V" ^
end2 y& f! h9 ~, ~4 T# _
to set-initial-turtle-vars-wealth, u9 x) M$ H% I4 f! m( \: t7 i
let max-wealth max [wealth] of turtles
8 Z6 ^7 `& z& ?; D9 v1 E$ N set age 0. z/ j% {2 G/ X; Q' y# `4 z
face one-of neighbors4
( y# a( [" `6 ^- r. `- d b set life-expectancy life-expectancy-min +, Z- c. o$ Z( }" T' D
random life-expectancy-max
* B$ x7 D) ?0 L O6 w2 j) d set metabolism 1 + random metabolism-up' h- G+ a3 W7 [6 q0 v9 R8 J" d! Q
set wealth metabolism + random 30) q. E& ]6 c+ `* j
set vision 1 + random max-vision ' g/ Z: l& W8 U7 J+ b
end' Y$ k% w% X! E
to redistribution
% }/ E8 l- v! G, T8 Y9 u; Rlet max-wealth max [wealth] of turtles
+ r/ a2 k' z/ G* N- \! M$ ^let min-wealth min [wealth] of turtles; Y. h" B; p M; c: ~1 {# t
if (wealth <= max-wealth / 3)
* S, l5 r( o$ d. z( \" S2 L) i [set wealth wealth + Low-income-protection ]' d1 ?" Y- F! H7 A% q! e
end. c0 d% C# x4 ~! `+ V# {
7 B6 s7 v' _& S4 A- v: e3 o
to recolor-turtles
: V: g5 \8 |& D2 |! b1 o, U let max-wealth max [wealth] of turtles
) ^9 H3 l: |4 c7 S ask turtles
; i/ k2 {' Y0 X! p [ ifelse (wealth <= max-wealth / 3)1 }$ q6 i5 q$ s& X' P; J2 w
[ set color red ]
/ o1 t! Y" |3 H* T, {* h0 ` [ ifelse (wealth <= (max-wealth * 2 / 3))
6 H- K( {8 E/ I& I [ set color yellow ]3 C3 E3 g$ h; T# G! R3 x
[ set color green ] ] ]
1 u0 U* B% K, G7 p# L% \ ask turtles [ifelse show-wealth?6 n6 G( F0 q; C- x7 ]' r$ {
[ set label wealth ]% }+ }$ N; H9 E
[ set label "" ]]& B+ M' ?# T7 p
end
3 N; I" d, a9 Y: h, {; R9 B. E
/ v8 q! h! K% n0 K! W3 V" qto go
# v/ P1 y0 G& h2 l ask turtles) Y8 N" h% C3 c g) P" k3 a/ @
[ turn-towards-grain ]
5 n( R; D6 r, A' P& u' P( q- w harvest2 W' U: y$ |- q' n7 C
ask turtles
2 q: g I2 A( M. y [ move-eat-age-die ]
! z8 k/ q$ V5 i! p6 C recolor-turtles" Y* A- y5 X) N$ V7 D
if ticks mod grain-growth-interval = 0
\' a: L4 c) P [ ask patches [ grow-grain ] ]; g, p* ?% g3 g3 g5 x. G5 u
( J- ~9 X# ]- Q' s6 n5 P! `2 t
if ticks mod 11 = 0& w2 u" V+ I% m( O
[ask turtles2 Z% [1 m: j* U
[ redistribution ]]
; S% L2 u: b" s' j# ^ v# Q if ticks mod 5 = 00 N) M9 J0 U5 z/ [) w
[ask turtles5 v( M( e0 x7 Y' o- s' _$ }
[ visions ]]# q* E6 @; X8 w5 a1 Y. j/ X* J0 p
tick8 H6 w5 U% g( i: b4 I
update-plots& J# X/ e! L6 J6 P) O7 @# R+ h
end
1 h, r1 [( \ |: v A# m u9 S- bto visions; p& O8 A" Z0 t# Q) x" [+ m
set vision vision + 1
$ h& G( M, \+ e- e# vend: B/ L2 `. H. L5 M% z4 G" k
' X F" w9 m2 t- d
( R' w# N6 P# e
) B1 [" b$ L- r. d4 tto turn-towards-grain " A$ v# j0 W. J6 B
set heading 01 q a* Q, D) |- F
let best-direction 0
+ |: F/ k7 i0 g- G9 `; f let best-amount grain-ahead
/ I( K& R! A ~& |$ N set heading 901 K6 `* u6 b6 |7 a
if (grain-ahead > best-amount)
3 t+ p W1 [& F% R [ set best-direction 90* n! I) n' x9 |9 w; w) P
set best-amount grain-ahead ]
% V }1 J0 H5 ^3 M. \2 m set heading 1807 ~+ K2 T4 U0 P. @/ \1 [4 q* Y9 M# K
if (grain-ahead > best-amount)
/ q0 k% `* g) c/ m* M0 x! {8 ]' { [ set best-direction 180( _; J3 j% J. U$ j* E
set best-amount grain-ahead ]0 z5 g+ X+ U8 `. _, Z& s
set heading 2700 l* m: q- U! |' N
if (grain-ahead > best-amount)
" Z7 p; w( E* D. Q+ e& Z [ set best-direction 270
3 T8 v- c2 D* w: T set best-amount grain-ahead ]9 J' \- A/ U6 |
set heading best-direction
j9 M. o3 z$ q! F! bend
7 }* l9 g6 n, G8 e1 N( O+ F$ j4 ?' H4 ?1 |
( L- u6 k" b$ ?- X+ X
to-report grain-ahead
3 ]; Q6 j$ h4 E0 U let total 01 k+ _- o: c, v7 k' T5 I2 V
let how-far 1
" ]0 D0 {2 B: \2 G+ r( K* y* \* N2 Z repeat vision
1 }9 P4 O! p2 l. i4 H1 N [ set total total + [grain-here] of patch-ahead how-far- m3 \% z1 s! Z; Q- a- o
set how-far how-far + 1 ]
3 S4 Q2 Q0 @' I/ Y" p3 [, F- E report total
' B, v. y @% e# `8 nend
6 N& {# ]9 ~$ f2 l& t8 l% }# U$ e% a( l. _% r3 a
to grow-grain / v4 D! I" F$ E3 }# B% Z- P
if (grain-here < max-grain-here)
5 ~: W4 k$ m9 ?) b/ H) l/ q [ set grain-here grain-here + num-grain-grown
, r. _& o; ]! k if (grain-here > max-grain-here)
; l' v2 ^* ]- Z% M$ a. M0 \ [ set grain-here max-grain-here ]
# n2 x( a h2 [2 l- k0 k recolor-patch ]5 q9 d# b: B8 p% u2 i/ ^- f
end
9 L- g; k; k/ p& @; G0 e: c9 }6 Tto harvest
3 c8 l+ r. A( I0 ?" r; c ask turtles
! a" ~# C* E5 O9 \/ z, M: H [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
) G% c: x6 P, Z; g p; L ask turtles4 p# e2 ^8 X3 M* v
[ set grain-here 0
6 N# }* k, y4 n; J+ ?# a recolor-patch ]
) a H' f' u0 ~0 l$ Z2 R 9 }( f. t+ |# v
end
3 Y( d% R7 x3 B. G0 }* y6 t: n( t) s, O
to move-eat-age-die
, a' R& { ?. s5 A( e fd 1* k1 {" m0 F& ^6 h$ d
set wealth (wealth - metabolism)
) @; O2 t* R, Q- B set age (age + 1)
) k/ B2 u. E% L. S* f if (age >= life-expectancy)
8 D! {; k! r, @- T) T5 M [ set-initial-turtle-vars-age ]! ~, t4 `/ L; k! R$ l, M2 g
if (wealth < 0)
" d+ {+ [& r+ C5 c. B [ set-initial-turtle-vars-wealth ]. F+ M. i, |! C j& C" P
( \# |! @0 H+ Z Eend
: N# Y3 r3 \5 f% B
% X' u5 m4 D$ e( i. k2 U: {7 g$ v" z( T4 o4 I
to setup-plots) U; ^1 h' y9 n, S* b
set-current-plot "Class Plot"
# d& E! F2 p6 H# l" T ] set-plot-y-range 0 num-people
% Q: Z9 T o0 n# g set-current-plot "Class Histogram"
6 g4 d" M+ g. j* @" E set-plot-y-range 0 num-people
( {5 t# ^. m( W9 I* G5 P1 X9 Wend' a7 K- u; _- s: Q9 S/ A/ v
# d' z# a7 }; j* L: @' e
to update-plots
- D& \* \3 z" i6 q( r+ y# w' _ update-class-plot t- r5 B/ {; ]* H; K/ u! H3 I+ j
update-class-histogram
6 z C( p& D. @ update-lorenz-and-gini-plots' s$ i6 e8 S. f4 C3 q
end
. D- g8 w9 k/ ^. e2 x0 h5 K: ]- Y1 u$ l
to update-class-plot
* c5 Z5 g. @# M2 z8 m* U set-current-plot "Class Plot": @. n b* j/ f1 J. z% X
set-current-plot-pen "low"! a9 P( U- _' Z( Z
plot count turtles with [color = red]+ ]& p2 z8 N* t. o
set-current-plot-pen "mid"
$ A) Q% S4 F3 S9 B. F% h( V. D plot count turtles with [color = yellow]" r/ m1 G& c3 r( R4 {4 v; F
set-current-plot-pen "up"- @+ g3 ^7 S5 |
plot count turtles with [color = green]; @5 u- H; o- g; g: G; o$ F3 `" k
end
7 A5 A6 J$ a# E! C. j8 K' Q
; K6 T" Y9 R! g% f( I$ B0 Dto update-class-histogram7 P" o3 S& f7 F! G2 s% `
set-current-plot "Class Histogram"% }" K, d1 G. t( y K+ L9 \, R
plot-pen-reset2 Z" H& f! A' K* l; ?
set-plot-pen-color red
% b) f4 g) l K* F plot count turtles with [color = red]
% Y7 s7 Y: B$ W" W6 l. b% u set-plot-pen-color yellow
?7 e3 p) k& F q0 o" q. t9 a2 [ plot count turtles with [color = yellow]
1 K0 \! r2 e5 R$ q) H set-plot-pen-color green3 _& _) S" ^+ }/ ~- j% m
plot count turtles with [color = green]0 G7 F7 h+ e6 [) s+ k
end
+ S0 V# C& _) D6 dto update-lorenz-and-gini-plots
& s4 J: t' Q) g9 Q5 c2 G8 h8 r set-current-plot "Lorenz Curve"6 ~/ J2 O) h! [3 G/ r" k
clear-plot
) H$ z: c4 n! W% f# |- i6 e' \) J i# a, K9 J- Y/ y9 e* ^5 |6 X
set-current-plot-pen "equal", t' I0 [! Q ]# j+ I9 ?
plot 0
3 L! Y R# c/ D/ r; `& T0 @& c plot 100
; M2 N% X6 M0 m- i3 }" ~# ?; w. x. Y; i) y9 f+ \4 ? Y
set-current-plot-pen "lorenz"$ T" }8 V; k$ P% V8 m! o
set-plot-pen-interval 100 / num-people) L2 w; y( \) }1 Y, N) g
plot 0
- w# T+ L5 H7 h$ {" m8 v. n' Y y. Y9 b: }0 B% P; o1 h4 M
let sorted-wealths sort [wealth] of turtles
7 U# h, P# A9 d' g# A% G8 z let total-wealth sum sorted-wealths
% K% A+ l, A9 J9 @; |5 N" R let wealth-sum-so-far 0
% ?4 w8 P' J N5 E# s let index 00 _# \; L8 [. D3 e
let gini-index-reserve 0
; G" I9 C [2 T1 Z" Z1 u" ]- P+ h5 O) ^1 T& d1 b
repeat num-people [8 _! U% i# ~0 R. r. P9 D4 p) b
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)6 C. m- E5 D$ a( S$ A7 _ @
plot (wealth-sum-so-far / total-wealth) * 100 E. H4 ?* U- t; ^1 {. W3 A
set index (index + 1)7 r" l3 q0 h7 W+ e* g- T
set gini-index-reserve
0 L; C$ M* y4 u gini-index-reserve +
0 ^# D3 n6 D/ {2 j( i0 | (index / num-people) -6 V. n- k* i; N) u
(wealth-sum-so-far / total-wealth)
+ F: I9 R" r( K1 ] ], c$ ], k# C) ~5 ^- V
6 @; r9 i0 V2 G$ V2 m) i+ k set-current-plot "Gini-Index v. Time"2 j7 i% H* m+ R& B
plot (gini-index-reserve / num-people) / area-of-equality-triangle% p+ K% @0 _* q* p
end
: i4 |. |% K2 }' Pto-report area-of-equality-triangle# `, c, O, y4 {5 h; m; m+ x
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)/ q* t; l+ ~5 }
end |