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) H( i% }8 R% J1 Y
globals
% R' V, G- {8 ?( E5 z[6 k- a8 N6 ~1 C) ~5 \
max-grain ' ^* d- v# O' s0 j- g# W
0 K6 c. ?, @" f
]4 F/ p: R7 i- }: m* H
9 o3 G: ~( v% G! Z* l+ u h* |patches-own; T5 k" R1 r: [9 |7 I; y1 R
[
) o* c$ L; f& w grain-here
7 n3 _" r( F& L/ Y8 K max-grain-here
* ~4 A$ p# T! C( U]- C$ w3 Q0 o* B3 f- ]; ~# X
7 \) Y2 ^# k' x' j% Q
turtles-own, V$ Q* X8 z3 w! W; [7 X
[8 j! e# |3 d# o* t
age + a' H" G1 m' H, C; ~2 Y
wealth
6 R( m6 [/ g/ z( |: s' g8 U life-expectancy 5 d/ y, L# s# @
metabolism
" R* @& `; c1 _+ e8 k) [ vision& M: D% Q0 I$ I3 g/ P
inherited
5 P! k4 _ K8 e]
* w( {5 V4 g% [( Q+ Q- a
# T1 x; _( N/ Y( c) T+ \) E4 Z) i+ a4 A% \& v
to setup/ O4 I7 S( V2 t
ca& U" c0 q: G) l, O; U7 W0 _, N
set max-grain 50
7 @% z( a4 }2 n- f8 Z0 V k1 c setup-patches7 R6 E& r1 w) T! X4 d5 ]: g
setup-turtles
" c W E( F" c' } setup-plots
' `5 J- N' u. I. [% N* u8 ~ update-plots) N! G, ]- H" I; \8 O
end3 y: J' T0 d$ L
to setup-patches
! j; L3 U4 ?" q. J# b$ n% M ask patches
/ @. l3 ]$ O. j% ^( ?6 w- Q1 P [ set max-grain-here 0
" ^& r% i8 O& v6 r% j$ n; j% N9 o if (random-float 100.0) <= percent-best-land5 h: O0 K& x- \8 V M+ f! z
[ set max-grain-here max-grain; L6 W7 T, `. D. X2 }# n. }/ R* h8 }2 T
set grain-here max-grain-here ] ]. W9 L2 ]9 L3 O/ e
repeat 5. d3 T1 W" K: S3 N/ k6 C7 @4 ^
[ ask patches with [max-grain-here != 0]
* x6 p3 r3 H2 E1 Q [ set grain-here max-grain-here ]
p5 X4 ]2 g+ S8 C r2 A# }( q diffuse grain-here 0.5 ]
% T. X/ b' s' A! f K+ T repeat 101 o4 h$ o$ Z# T/ v Q& C% A
[ diffuse grain-here 0.5]
# j6 N! O+ r: H2 ^ ask patches( A) T( a C+ {# C6 q T
[ set grain-here floor grain-here
5 y5 T6 K' R" x1 c5 y: d set max-grain-here grain-here
' {; q, U6 A( E9 O% p recolor-patch ]: i8 y/ {! T4 z# z; K8 X
end U& r; d; Q; ?, V8 @ Y# h
to recolor-patch % N; j! } O8 |* ^. S
set pcolor scale-color sky grain-here 0 max-grain2 U5 j5 H' y9 E
end
" W8 R& W8 z. f) k& m( ^to setup-turtles6 D& O3 U- C5 ^8 i) I% g U
set-default-shape turtles "person"
* j) h9 R- v! e ]+ C$ Y G3 f crt num-people; D1 M2 M4 u+ ?' l9 @5 t3 C
[ move-to one-of patches
6 z6 `9 y0 K+ ^- J5 n set size 1.5
6 z- g9 E! ]5 B& j$ H) [ set-initial-turtle-vars-age) Q5 K2 n2 x2 F) D" a/ I
set-initial-turtle-vars-wealth
, M, W4 b! o) M set age random life-expectancy ]- W* E& U+ k) Y( o6 m# H3 t
recolor-turtles
. l5 V+ f( k- M' Xend
& N5 C( }/ C0 m8 i* a' _+ x( |# o. a( v: ?2 a/ ~8 h
to set-initial-turtle-vars-age
, r6 I9 Q; a1 G0 _: ^ let max-wealth max [wealth] of turtles7 X' N1 a2 Z4 d0 e2 V% t
) d4 p- u# Z% O0 H7 i ifelse (wealth <= max-wealth / 3): o1 \0 t/ F7 t" Z' V
[ set color red
( W; r! x' ~- [6 r) Q set age 0
6 l" O; x0 |: E% N+ n face one-of neighbors4
8 a6 d; r! P+ X6 F set life-expectancy life-expectancy-min +4 y8 n# z. T- M$ \* `
random life-expectancy-max & K) }) M( {; u! G2 {
set metabolism random 1 + metabolism-low
. c8 s3 u* l! U& i2 W set wealth metabolism + random 30
, a; D* A4 w m: B1 K5 i set vision 1 + random max-vision* O# D& u* A7 ]
set wealth wealth + Wealth-inherited-low ]( J U1 I& }, {$ \0 s4 a
[ ifelse (wealth <= (max-wealth * 2 / 3))# Z$ m8 ?. w0 \! Q' S+ z2 m E
[ set color yellow ) i d* |* x# A7 e! [
set age 0
2 V4 ]: [1 u( j9 A' A% f# x face one-of neighbors4
6 O3 k% w7 ?$ O: _0 p: i$ ]" x set life-expectancy life-expectancy-min + T2 _( \8 ]1 A" c7 ~/ `; c
random life-expectancy-max + 1
& Y. D) w( [/ k. x/ y set metabolism 1 + random metabolism-mid) w9 V$ v( I D% V
set wealth metabolism + random 30
+ @. N& z/ _& ~ ]# j5 T5 Q set vision 3 + random max-vision4 n- |! ?' `: ^7 k, t
set wealth wealth + Wealth-inherited-mid]
( [- v$ G9 c1 C [. N1 ] [ set color green , O3 K9 o/ |! c
set age 0
' U1 H" f9 k2 p1 h/ q face one-of neighbors4 7 T: s0 D5 B( f
set life-expectancy life-expectancy-min +1 G# @) F# a8 f$ M0 S; v
random life-expectancy-max + 2
8 T# m2 h b) l( t# q+ X set metabolism 2 + random metabolism-up0 t- g/ Q# B# X# S8 c" r, E
set wealth metabolism + random 30. \. X) L4 Y+ \0 y, X
set vision 3 + random max-vision* ]* B3 z8 u2 x! S- J
set wealth wealth + Wealth-inherited-up ] ] ! L$ V( V: ~5 w N
" q$ E& q. s: @" I9 L% g& I; w
end
) X( K5 }5 _$ g, O8 j L# G3 c, W" tto set-initial-turtle-vars-wealth
/ {# H( h6 D8 H5 ? let max-wealth max [wealth] of turtles
+ ]: l) {; A8 V5 c set age 0
4 E. R& c0 U/ e$ ], T) \ face one-of neighbors4
8 Z+ I% G1 }, E& U d$ k set life-expectancy life-expectancy-min +
( \. l& w9 R& ^: h) }# a) z7 I random life-expectancy-max 3 U; ?9 s* I* }$ g, V* Q
set metabolism 1 + random metabolism-up) H4 s( h; |& H
set wealth metabolism + random 30
& e, j* A I8 r& ]# Z; F2 v# X. p set vision 1 + random max-vision
: X- [, e8 \) v* Mend1 Y; S w ?4 l5 N" f7 v! _
to redistribution
) q# h; w& w3 slet max-wealth max [wealth] of turtles
) m+ ^) U& y) Rlet min-wealth min [wealth] of turtles
# o Z- w( B5 V, Dif (wealth <= max-wealth / 3)$ D8 h# |4 M" g1 r& w$ z
[set wealth wealth + Low-income-protection ]
9 m6 w2 A" N; |+ ~: ?' ^/ P# Kend5 B7 q' P! B) R) r: o7 `$ v5 |# v
" p6 o4 Z0 n! J+ z
to recolor-turtles9 Z0 y* l( x: [( c% x8 m! A& E
let max-wealth max [wealth] of turtles$ ~7 F5 Y9 Q9 P" z8 `! }! l
ask turtles5 V& @. J# L1 t4 v/ n, z+ x
[ ifelse (wealth <= max-wealth / 3)& p/ i- R# m8 p7 l4 N9 M" F
[ set color red ]
, b9 W' v! k' B [ ifelse (wealth <= (max-wealth * 2 / 3))2 ^; i; q' A7 W
[ set color yellow ]0 t# Z5 ]% ~; M# y( e
[ set color green ] ] ]
" D$ h/ q6 u# f2 }7 l ask turtles [ifelse show-wealth?
& ?7 t: R* l8 n7 U8 V$ ?6 N [ set label wealth ]
& e( i ^6 B8 Q5 M ?" ~ [ set label "" ]]
% C6 L# `! f* t* G' B/ l4 z# Rend
$ b7 `* n* y' K; ?2 X2 D% O
# @6 R# x, m5 h3 l: a$ L# L" _# Yto go
0 Z1 Y7 U$ `1 y" Q( K ] ask turtles
+ `) t9 s$ l U5 f# j1 {5 k- A [ turn-towards-grain ] ' |! a, Y8 F9 e
harvest. ^( V: @& m( `8 k- d. n3 Q" i
ask turtles7 T1 ]& _; L" E+ R( ^$ E9 @5 Y6 {' ]
[ move-eat-age-die ]
/ d2 i& y6 l8 h! S! k! Q recolor-turtles
$ C$ M; P- c+ n9 E4 K6 \7 C if ticks mod grain-growth-interval = 0! D9 E6 ~8 l3 K B$ @9 ?5 f
[ ask patches [ grow-grain ] ]
^7 V( y2 _- f0 K, J 7 Y k; Q/ e" D( D6 I. o* W& c
if ticks mod 11 = 0, |5 v" D) K. ^# `7 J+ j4 a1 t0 K
[ask turtles
0 k4 u2 M* l! G$ A [ redistribution ]]
9 |* \0 ?% b! K4 l- R; s if ticks mod 5 = 0
: p& F" K1 S D2 n5 B3 S( @. j) ` [ask turtles
; t5 H; [, D# F: ~ [ visions ]]7 X5 M, m2 g0 g2 V
tick( W( f; g0 f% Y; M, Z. c8 Z4 j
update-plots& X7 q* G( s' @. Y8 b
end4 B- @. u6 B% j6 z- ]
to visions& S1 {. y/ @# }: o9 I
set vision vision + 1
/ _5 y( Z% \4 a, E6 H( @% v- Xend E; `/ g# R; N/ ^# P! U
3 w# b$ i5 g" W5 Z7 p: @
9 S" p# ?" k, K% B* c$ W) M6 s! @, _/ v* Z% R5 j
to turn-towards-grain ( ~; T- [" `! x- k! A: X
set heading 0
; P$ m2 v `' R: s6 K let best-direction 0
5 |6 p' N: M) J3 S2 h let best-amount grain-ahead2 K; ~' r8 W0 ~ _) Y
set heading 90* O& X; L- j& c; R7 G S
if (grain-ahead > best-amount), y" C: @0 f$ t7 t" C+ `
[ set best-direction 90; u% p4 k! W- q
set best-amount grain-ahead ]
; A1 H3 g1 U5 X. r: L1 q+ M set heading 180
) r; _1 q! K4 l if (grain-ahead > best-amount)) z/ \2 b G5 ]+ g' T- w
[ set best-direction 180! E, U% m2 ~7 N( A( Y9 C# h6 o
set best-amount grain-ahead ]' D2 ?' }1 i! [) j/ F6 j8 W
set heading 270& C1 G3 T' K0 {; O7 w
if (grain-ahead > best-amount)+ T( g4 Q- q: V4 Z- y o( y" _
[ set best-direction 2702 M; S1 w( T2 N' q2 I N
set best-amount grain-ahead ]6 V% ?/ \8 ~5 S$ U& u- e
set heading best-direction7 U& H1 Q) F; v/ d
end
. l" u$ c; n% j$ R( V/ e
3 @, ?/ u; \" O& I) r8 } R0 N5 n. n6 G5 z3 ]
to-report grain-ahead
8 M! T4 o9 S+ j( T4 h. P. Q let total 0& m2 \1 D. r, h6 H$ W
let how-far 1
: q. T7 s$ P5 ^/ v6 k repeat vision
2 S3 _2 k& i4 H0 M$ z7 z [ set total total + [grain-here] of patch-ahead how-far) m- r; a. x, a' ^# K8 ]
set how-far how-far + 1 ]% S1 {; V8 s; h2 |& p4 x
report total
* g. P3 j+ F0 hend9 {( [6 p3 l# X* ^# h/ w6 Q$ m0 c
% ?3 h& n2 W- _: C& |' X0 Kto grow-grain # v7 z* f' M5 E, G$ e2 L, T, g( @
if (grain-here < max-grain-here)
. R ~; q; R. _3 h2 u$ t+ p [ set grain-here grain-here + num-grain-grown
/ A- F* S f) P2 H! r5 e if (grain-here > max-grain-here)
% n4 \' A% T: k+ R/ e. N [ set grain-here max-grain-here ]
O8 {& z1 f+ R: v+ D recolor-patch ]
" [% [/ _: }6 n9 b8 Nend( i0 e7 s: r' @% z/ N4 H
to harvest2 D5 y" I; N( ?, T. {# y) `
ask turtles. X0 W6 F. {% Y4 X; ~
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
) l6 G2 \) G7 g- T* ]* m8 L ask turtles- Y/ A+ y+ [3 A1 r8 f+ T# l% k
[ set grain-here 0& I. q" R; @, h( ~) o) ^ }( h8 w7 R7 o
recolor-patch ]7 T8 D2 v, f* z$ U3 s* f
& c; ` w2 C. ~2 x9 G$ i% U6 ^$ w
end( _3 n3 P+ C" @
3 g$ p- `) n7 ]! Z& I+ yto move-eat-age-die " D2 ?' }1 @; a. C
fd 1
9 I/ U9 t' V; S set wealth (wealth - metabolism)
3 D8 g! ^( N, E8 T6 _ set age (age + 1)( M0 ~/ w) T+ I7 \, A* R
if (age >= life-expectancy)# I3 u% M6 v, m1 N _
[ set-initial-turtle-vars-age ]8 B9 L, e1 B- Q f
if (wealth < 0)+ V- A0 a* t, U' ]
[ set-initial-turtle-vars-wealth ]; O7 G6 h$ r* x2 { I: H
' H9 X$ Q1 F3 `- N9 h. y
end6 y' c E! D1 {$ k/ A' N7 i
% }6 H8 F% ~) B
2 k: [4 ^# \4 Lto setup-plots
- @! J) V2 t/ y7 o set-current-plot "Class Plot"
0 Y* N8 A4 P9 B. O- j1 h, k set-plot-y-range 0 num-people
3 f$ Z* R3 L$ a5 N set-current-plot "Class Histogram"! E6 |+ b- p+ G9 x: L8 Z" b2 _
set-plot-y-range 0 num-people% y6 E2 b) `/ y6 y- S
end7 ~ b" i% F/ T9 |6 p, ]
: Z2 U/ y9 x+ @# e
to update-plots
$ B* \1 U" e3 ?! p) h6 l+ y" e# N( I w update-class-plot
8 V5 ~2 a- K4 ~. J0 g4 B update-class-histogram# k! X3 z+ A1 ]6 T8 ~$ i! P9 a
update-lorenz-and-gini-plots
8 L' R8 V* S/ |& X- W% Q, |; p6 e8 Gend/ |* [& t* M! {. q% [
7 @) ?2 x$ X- K2 A( u$ y
to update-class-plot
3 S1 K% Z& O: c set-current-plot "Class Plot"' U+ C B% W. I, r9 A2 r1 U
set-current-plot-pen "low"
; w/ b- d" u. F' {' l0 G- k plot count turtles with [color = red]( B9 c8 o- L' U2 Y2 s4 x5 F$ G) T
set-current-plot-pen "mid"
; u$ n) i: Y" b plot count turtles with [color = yellow]
% H6 {+ i( H3 G& D7 f# }- _. q set-current-plot-pen "up"4 l4 o" b' M6 n" Q3 G4 G
plot count turtles with [color = green]
* v8 r8 A8 J, S6 X& r; v5 c7 Fend
6 I3 s; w) ~7 N7 Y
( s. h# x/ m1 q$ oto update-class-histogram
6 }: f( d, G g set-current-plot "Class Histogram"! D7 `) t: o3 T0 w8 B# Q
plot-pen-reset
) z- Y; O! x! n5 l set-plot-pen-color red
) o# _8 T( i5 y( o' }+ V9 q plot count turtles with [color = red]' K9 \7 O9 z, [/ B6 l& Z
set-plot-pen-color yellow
" `1 f: }+ {6 y6 f0 | plot count turtles with [color = yellow] _9 t j' [- J: x- D% G" k. N
set-plot-pen-color green
" Z) U O! L( l. Z6 _ plot count turtles with [color = green]
@! l/ [# L7 d8 r* {. Hend
8 B/ O4 w/ t& n2 M0 K% mto update-lorenz-and-gini-plots
- I: j) W1 B4 A1 u5 b1 l set-current-plot "Lorenz Curve"/ a4 e. |6 l9 ]
clear-plot
2 ]6 v4 m. v6 A2 V x. h* i
" x8 v( Q& z3 F( N& ] set-current-plot-pen "equal"
2 o+ K5 w4 a( }' r: A$ ]4 x plot 0
/ }5 W0 W) p+ T V$ q4 e+ d+ b plot 100" g1 W o1 N! O! ~
, c. S1 V5 ~8 K& B set-current-plot-pen "lorenz". s/ I9 z: O- c7 [" A, `6 J
set-plot-pen-interval 100 / num-people1 X2 `. h4 W% x* i8 _# S3 W( ?
plot 0
3 o m+ D4 Z! d1 T8 N$ B& g" R
# G* o2 W3 i7 a) C/ j6 s let sorted-wealths sort [wealth] of turtles* V& Y" j% n) x! n
let total-wealth sum sorted-wealths. r3 J% M* w* ^) Z
let wealth-sum-so-far 0/ J/ X/ }- \0 Y
let index 0: x1 l* R+ {( T% \8 ~& ^/ m
let gini-index-reserve 0. C( N2 ?8 C' e
$ Y, j5 m& x( D# G9 A! q
repeat num-people [
3 q# C H0 o- \! [ set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
: {% Q" I+ N+ Y+ L6 \- H plot (wealth-sum-so-far / total-wealth) * 100
7 l) k9 {2 }9 T set index (index + 1)- o. R O( M) M8 ^* H; j" j( E
set gini-index-reserve/ k( C, L6 \" E! n" ~! {! Z
gini-index-reserve +) U& I$ J5 d0 [ R6 J* n6 h
(index / num-people) -
1 K( [/ i; X! O1 h# }( l0 | (wealth-sum-so-far / total-wealth)
% B' b6 Y; P6 c6 u' s# U ]4 R& E" y! s a/ f6 ~1 a
# e+ F0 c( p* j! J7 L( K+ H set-current-plot "Gini-Index v. Time"
" t/ U3 q# d' b6 T6 S plot (gini-index-reserve / num-people) / area-of-equality-triangle
, E' d+ u/ a6 R6 u+ F8 yend
: O! U+ u7 ^3 C6 U1 Bto-report area-of-equality-triangle
. R! e! m' @& f! B report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
# z% [) j- X/ x2 i3 a( S/ @+ C2 Z# dend |