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
7 l1 Q4 P; M# }" C. I1 ]globals
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8 I3 i: d( u$ N5 |$ H5 t max-grain $ ]7 l/ k' Z% G
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]4 B1 z: G$ M! {" c+ j
! J" D) s, y9 Vpatches-own& X7 ~6 g# Y* v( _9 ~6 R
[
0 u! h5 q4 F4 Q# L2 k% A2 T grain-here
# s4 Q6 h% R2 |( P max-grain-here
/ g& m) Z4 `3 `# s& ] J]( {: W; t9 a2 j/ I
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turtles-own
# M! a1 U/ H# X' _ n5 M[. U3 H) i# P; s0 y
age
# L, F% A% `, F2 W wealth
, @9 [5 s+ m" Q: \' } life-expectancy
6 w3 b! T' L! K' {4 E metabolism 3 D9 ]% X a* v3 I( l! }3 F' {
vision
* h3 P0 h1 Y" o inherited ! P' z2 U7 n/ A5 R+ L* [4 Q
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to setup
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! Q1 l0 m; r6 I' v set max-grain 50
M& I8 s+ a3 o4 G: m" W" C! z2 X setup-patches
9 i& w: v% x2 d: P% ~% k& Q setup-turtles- ]5 m4 I9 Z2 a7 y" F) L
setup-plots1 X6 e2 Q& n( C, G7 q) q
update-plots
: c' A! p6 {! iend% l1 f3 G( U$ C$ N5 [' E$ D
to setup-patches7 l% U( @' S- J+ e6 I( z" S
ask patches
$ _1 |: ?4 y: D* ^ [ set max-grain-here 0& V+ q9 N' f2 \) r- x
if (random-float 100.0) <= percent-best-land2 [& O; k, K( D4 q, d \2 l
[ set max-grain-here max-grain
( N6 d" E% d8 J& \5 [+ _/ f6 O set grain-here max-grain-here ] ]
9 K! K8 W/ }& r/ W repeat 5
. m2 Y- i+ j! P7 L4 w9 c [ ask patches with [max-grain-here != 0]- l3 A" E/ r3 Y! }3 T
[ set grain-here max-grain-here ]& X+ b( p+ Q& L% a
diffuse grain-here 0.5 ]$ t6 C6 s8 h) q. a2 P+ A ]; T
repeat 10
6 p p) a; F& e4 _+ U1 ^ [ diffuse grain-here 0.5] / T2 u- e, A" U: ^' |, m& v- J$ e
ask patches
: P- M5 O* z3 k# {) u( X( J- {' m [ set grain-here floor grain-here
& ]0 d1 \( `. z. z set max-grain-here grain-here $ ~, N- d$ h% K: q
recolor-patch ]! k x6 v7 W" y4 q4 M
end
$ Q4 d* U9 s3 F& s+ eto recolor-patch ) W) s; s9 ]% D/ m! d
set pcolor scale-color sky grain-here 0 max-grain
& X2 H( l7 c: S$ Aend2 h) S' Y! i8 w) o2 s
to setup-turtles5 e) Q& n5 x+ j
set-default-shape turtles "person"! V" |& z7 s7 y: L. m2 U
crt num-people: o% W V4 q! N) C _7 H
[ move-to one-of patches 5 D# y6 w6 _ c# a3 E; ~
set size 1.5
; C, `4 b. p( x1 w set-initial-turtle-vars-age
9 s+ o) v8 p% c9 z! f/ L set-initial-turtle-vars-wealth
% Y% H) \& a+ y/ V$ g# q set age random life-expectancy ]/ D' y: g, i8 S
recolor-turtles$ l* P/ H8 m5 _/ M" k. f9 A9 y
end6 {, f& n0 A- A( E5 q l) m
' @" N5 Y& n% @) j- {1 Qto set-initial-turtle-vars-age4 o. n8 \' U3 k7 ^& _% M) i
let max-wealth max [wealth] of turtles
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ifelse (wealth <= max-wealth / 3)
' d; E0 `+ ?+ f [ set color red
6 g/ B- q }1 Q) D( w set age 0$ {. n1 i! m" ~% W* I2 b" f
face one-of neighbors4
- S6 N: _2 j, i( v" r2 m set life-expectancy life-expectancy-min +# H; ]" W- ]: t6 Z% i# E! Y( P
random life-expectancy-max 5 L* Y# q. x( |* M& z
set metabolism random 1 + metabolism-low' K' T3 h" @7 A7 E* W6 M
set wealth metabolism + random 30! ~3 p0 }/ B$ `3 r
set vision 1 + random max-vision
# E+ {8 c$ @: W! e/ a set wealth wealth + Wealth-inherited-low ]
! p/ P: T V8 h8 a+ v [ ifelse (wealth <= (max-wealth * 2 / 3))
c8 ~9 w' A b# Y* h9 X3 {& a2 D" C [ set color yellow
; r7 P8 y! c( i6 }" d7 ^ set age 0
. w9 v" O1 Z6 v) e7 M( E face one-of neighbors4 . h; n$ W% J+ g% E& @% d: k& |
set life-expectancy life-expectancy-min +/ y6 G- I; ]3 i; n, `4 A' Y2 g6 s
random life-expectancy-max + 12 m0 q+ _/ Q( M, K
set metabolism 1 + random metabolism-mid! z# @. M3 U3 Q% u1 U7 C
set wealth metabolism + random 30
4 ]) [, z2 h: C% @ set vision 3 + random max-vision
& C: j- S- C3 h5 W$ b set wealth wealth + Wealth-inherited-mid]: O h/ D: `1 L' @5 l+ T
[ set color green
' r! O. B) X+ @* ^% k" B. m$ |: O( Z set age 05 F1 K) A/ r' I4 y2 E
face one-of neighbors4
l/ O2 H& L1 f" b set life-expectancy life-expectancy-min +
$ k8 x- H l3 r F$ e random life-expectancy-max + 2- m' e4 \$ Z) Y& H0 N, y" I |
set metabolism 2 + random metabolism-up$ n7 v) x( C: G% L9 {/ V
set wealth metabolism + random 307 l7 a; q8 B5 {, ^5 S
set vision 3 + random max-vision0 s, t" `7 N9 W" z0 {+ W: P
set wealth wealth + Wealth-inherited-up ] ] ' d+ I9 j% e6 ?; |! A
, {. s4 Q9 X5 m5 m- f! send( U( a8 k, I! y0 O, \: n6 t
to set-initial-turtle-vars-wealth
4 {* a! X0 M r( j! O+ I let max-wealth max [wealth] of turtles9 z5 R! ], a: h6 s
set age 0
# ^9 w. J; m+ F4 @% g face one-of neighbors4
/ {7 x+ ~4 P0 h9 W/ U; u) u6 M$ ` set life-expectancy life-expectancy-min +2 K2 |# Q1 Y7 D
random life-expectancy-max ' q; u! N L% T: W+ R$ h- d
set metabolism 1 + random metabolism-up
, r, P* \3 l* k( Q set wealth metabolism + random 303 i8 E# L8 z' m3 z# E+ r
set vision 1 + random max-vision
C1 Z. M& e, `% z1 R# [end
3 ?# X; P; |) C- qto redistribution$ `+ E. M* F0 \; Z: U8 m/ y8 }
let max-wealth max [wealth] of turtles
* G% }- {* U9 A% u# h/ ?: H; rlet min-wealth min [wealth] of turtles
6 b( m' Q. b: q! d/ P$ ^1 `4 qif (wealth <= max-wealth / 3)
! Y) d/ H) d2 Z- h y% Z3 A [set wealth wealth + Low-income-protection ]
4 Q* u3 C4 W, J% vend7 x: ~# C* V' H( `( C) _+ @% j
+ j9 J& a% N8 f5 C- o& X+ kto recolor-turtles
) I9 E% J, E3 [' F5 W let max-wealth max [wealth] of turtles
' _8 p8 l% b; O c+ R8 z ask turtles
% D9 O. }6 A+ T0 n7 {( k7 l- P( C [ ifelse (wealth <= max-wealth / 3)% x, H4 ^& O( L
[ set color red ]
, O& Y* t* O Q; t' B: L$ S [ ifelse (wealth <= (max-wealth * 2 / 3))
* O+ v0 P. S* J7 x5 C8 r [ set color yellow ]/ O7 X% f) k& W2 g( X
[ set color green ] ] ]
# G8 T* Q; _) d6 w5 N! c ask turtles [ifelse show-wealth?
! C3 z" ?1 y" ? [ set label wealth ]
9 r' N2 d S. W3 I2 Z+ B [ set label "" ]]
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to go7 @7 [* p; r8 K: Q) W, B" d. |- l
ask turtles
4 ~8 Y- t! |! R [ turn-towards-grain ] ' }3 e) V }# i0 M4 P
harvest
+ |% G# d; X6 A+ t4 H S! B( F ask turtles
* l! x4 R5 G( c2 ^% U* x [ move-eat-age-die ]
7 D* i7 R/ L" D% b% @2 ? recolor-turtles, [( }* S2 a* u o3 n
if ticks mod grain-growth-interval = 0
7 a8 R; W7 Z+ p( u- E, L; H$ [) O0 K [ ask patches [ grow-grain ] ]" ?, Q4 H$ I: G0 C; _7 f: l
$ K+ z% r/ o! O" _* i if ticks mod 11 = 0- e/ x" R0 w1 s* G
[ask turtles( H# \* W7 L1 N9 l' l# o6 q7 C
[ redistribution ]]) l7 \/ y7 J: P/ |7 g% ]& T& y- ~9 p e
if ticks mod 5 = 0# j% A' B' ]5 V4 ]1 ]
[ask turtles6 v; B- G/ Z! c6 f, g9 s. L5 [" Y+ m
[ visions ]]
! Z& F' a1 j ]; `/ N tick; H6 h2 ]3 d9 p1 n
update-plots
" H7 Y+ h3 y, m7 zend
& e$ J, r" v8 N* ]6 E& b$ `) K9 ito visions
' d$ G+ }. P0 U set vision vision + 1
" {% u1 u& r6 Y I2 Send1 O; r/ ?2 f7 C, a9 ?8 T8 e# m
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1 T L2 d, w. Cto turn-towards-grain & R5 p2 y6 w! y/ S+ ^+ Q
set heading 0
: K( u1 i, r% n let best-direction 0: ~0 o, `7 F# T+ {1 t
let best-amount grain-ahead
3 z1 H- Z D$ B2 A$ g( d set heading 90
1 z; ~& w( I) i3 o U' c) q if (grain-ahead > best-amount)
* r) S [- t) D0 j( k& E# q [ set best-direction 90/ I& }" p9 R7 L# P. z
set best-amount grain-ahead ]1 A& {4 e' ~; _' }! K% Y+ C
set heading 180/ b! x/ J: t# M1 M! j
if (grain-ahead > best-amount)
6 K$ P4 p6 o% u [ set best-direction 180( ?% J, O! U) u- Y
set best-amount grain-ahead ]
" t3 @! {! o- ^3 ]. W/ |+ g1 O set heading 2705 M. f( w# A" l$ R/ r+ F- n
if (grain-ahead > best-amount)
, `1 Y) K0 N8 ]* ~: L [ set best-direction 270
6 u' n* H" [1 F7 V! O5 y2 T set best-amount grain-ahead ]
! G! Q2 y3 T# b; x z0 A4 I$ } set heading best-direction
9 B# G* m& x) v( r- L4 i, [7 C' zend
2 _. @3 Y# B x* \) b+ z+ l% K& W8 f! l, {/ K6 Z$ u" E b
4 h6 F' E+ d/ g& Mto-report grain-ahead
! P, T4 A% K t( x! Y2 x. \ let total 0) \/ X0 h: t+ n# _; L+ A# y
let how-far 1" A t# R! W2 P7 ~
repeat vision/ y( l( J* \; j0 U7 M! [
[ set total total + [grain-here] of patch-ahead how-far; H3 ?6 M; |% j; b
set how-far how-far + 1 ]
; D* ~" w$ Y" u! ? report total
- k5 z! L3 s' u+ eend- q8 o; C- [+ N/ G, i" L: x
* C' f2 a9 h! y7 ?5 Yto grow-grain & z; v; t* q! `4 {
if (grain-here < max-grain-here)
9 a0 @. w/ C7 a" c1 V- ] [ set grain-here grain-here + num-grain-grown: @5 X0 D6 V: A6 _5 ]0 N
if (grain-here > max-grain-here)
4 H x9 S+ A3 b2 n$ [2 _6 v [ set grain-here max-grain-here ]' C) [& g, v4 f, j3 \
recolor-patch ]3 O$ z, @9 X# ?* r9 k( L0 J
end
: ~1 X5 E; K9 P0 ` Jto harvest
9 t/ {8 I2 V& S. A ask turtles) n; z2 {; G, {9 j+ ~0 G
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]5 z1 Z, l: \* L! ]* G0 y
ask turtles/ f! I" N" A4 ^7 F5 v
[ set grain-here 0
4 |' F1 M5 K& Y0 o recolor-patch ]) W" I6 B4 }: X1 G: {% X6 K; l
0 T! i2 S$ G' d& ?
end
: r; E* v% l6 b9 `/ p& b8 T. l
2 @7 ?0 j4 W w2 H% q- Wto move-eat-age-die
3 ]) a+ C& S- Q: A. i4 Q9 d# C fd 14 }/ r7 n$ S) J5 P, `, F
set wealth (wealth - metabolism)' ^, X. p# C/ q& t& k+ @5 M, r
set age (age + 1)- `5 ]7 O1 G7 f2 B9 u6 b0 D0 L
if (age >= life-expectancy)( O5 B! h0 q% u3 B5 p5 ?" o6 b
[ set-initial-turtle-vars-age ] v3 U0 a1 y% T8 I
if (wealth < 0)
: z- F& s. `+ i4 e- ` s) k( S3 @" i [ set-initial-turtle-vars-wealth ]
9 P3 k+ N; G; R( L& i' b
0 n! j, n6 w& x, w$ e7 j7 u' N8 `end4 E: \& \( Z% h4 n1 h+ x2 ]
) }3 z& R4 T6 i+ Q: T9 A3 O) t) r r# R
to setup-plots
- \, c$ n R, q2 j5 ~ set-current-plot "Class Plot"
/ r- e+ a8 {6 w v8 Q' u set-plot-y-range 0 num-people
) z/ T" `" i. c$ w$ W set-current-plot "Class Histogram"7 e9 ^5 @2 g! ?8 o
set-plot-y-range 0 num-people
D/ a5 l+ t. ^. v; d; Aend
1 j* u5 g& i+ Q& l! o$ V. H
, j* P% _% K2 B" w9 nto update-plots
5 C0 T" v2 r9 _0 [/ ?5 B% a0 Y5 t update-class-plot
( u( b! A. [8 s: N' S update-class-histogram
8 a% n, U, \2 X; i$ Z& U update-lorenz-and-gini-plots" ^8 \( ]( r" b1 Z# e0 i
end
0 c' c* H2 G$ ]9 y/ r
( Q% T) C+ T F$ N0 i' E E `to update-class-plot
% U+ [ G% o9 Y2 d6 z set-current-plot "Class Plot"
+ F! B9 ^! _4 i; `/ S, O; ^ set-current-plot-pen "low"
, X! N$ s0 J& h plot count turtles with [color = red]4 X7 G0 C+ M" i8 P3 a
set-current-plot-pen "mid"# F4 M/ g, _2 w/ Q+ n* G# e4 r
plot count turtles with [color = yellow]% O3 _0 J' J b
set-current-plot-pen "up"
. t$ J! V, H" c plot count turtles with [color = green]
6 D2 i$ @1 j9 c8 N$ R0 zend4 o0 {0 E1 G4 y
6 |* G. z$ Q0 f4 d- @& r
to update-class-histogram
3 }6 H6 K6 a! m set-current-plot "Class Histogram"
( U8 v- g% X9 y3 R: M# X* G5 x) @ plot-pen-reset5 p+ Z. I8 r7 h* L
set-plot-pen-color red& w5 o0 B/ | \3 C
plot count turtles with [color = red]
2 T, Q( S' U/ G4 ]( Y E F* p/ @ set-plot-pen-color yellow
+ C9 f; s$ a& t3 }0 X plot count turtles with [color = yellow]: D7 X3 e% m a0 m, O
set-plot-pen-color green
+ R6 s2 n) u0 ^3 Z# g8 J plot count turtles with [color = green]) V3 p4 ~9 x; n4 F& c/ D; p# X
end
1 I+ L1 X( T" Gto update-lorenz-and-gini-plots
, }# x2 Y* O, m9 L set-current-plot "Lorenz Curve"
" J) X7 W D3 Y" o3 a$ r clear-plot3 ]) \/ ]0 T- T \ b% L
q& L: Z1 X/ F$ ^- `7 ?6 @% p set-current-plot-pen "equal". ^' `1 K4 N$ ~( F# p) V
plot 0
) g6 n- Q/ \, B( I, }/ ] plot 100 J& f# k. u% s
* C& X" K5 T! K( n
set-current-plot-pen "lorenz"8 D% `' V7 B; D, [5 V% P2 b, [
set-plot-pen-interval 100 / num-people- U, J2 H9 \+ e: ?
plot 0% ?8 w; c6 r3 G- N
9 ]; D4 @8 j5 L% Y& b6 z
let sorted-wealths sort [wealth] of turtles& y8 k3 C" K( I# U; J6 A
let total-wealth sum sorted-wealths) W8 ^2 h4 ^9 h% C0 D! H$ N. h
let wealth-sum-so-far 0
, F4 B* Y/ Q# E' `- v" K( P let index 0
4 d! H f) V/ S3 |; ^" J4 ?) f let gini-index-reserve 0
0 C8 \1 P' ]6 F4 W' Z( S; G: m0 S) q" U R+ n& G$ g6 {8 f
repeat num-people [
( {3 n* e( D/ Z7 q' g set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
3 E p6 ]- A9 e6 o+ R. v4 u4 `; Z' N0 ^9 H plot (wealth-sum-so-far / total-wealth) * 100- L5 ?$ _2 i9 \. A# |1 V! v
set index (index + 1)
9 A1 ~: W4 K7 e9 a# n set gini-index-reserve
9 `& n E' ~' ^4 O* A- o7 ] gini-index-reserve +
% D3 W! ]3 a0 i (index / num-people) -
$ U+ f( o9 \4 [' j (wealth-sum-so-far / total-wealth). e5 l$ t. K( _5 F u: {6 y' t
]* H# X" t# y$ f' l# B3 X
! Q) g* L6 }' U+ p1 {# ?) k: N set-current-plot "Gini-Index v. Time"" l. d. |% G8 E4 J) u2 i/ u2 c
plot (gini-index-reserve / num-people) / area-of-equality-triangle
" F! R- l4 M$ b! s$ t4 Wend( R/ C3 |6 l! V5 I- \) D
to-report area-of-equality-triangle" L9 |' H. X* R( h; `/ [$ r9 i
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)* ?2 m8 J8 T& z( G
end |