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
6 h D; f) @1 `8 o+ nglobals
7 E% ^" ~" W, R5 H) j8 U6 f& b[) u9 @1 Q) i9 s% [. `
max-grain . z5 c6 S* Z7 ?8 G4 F- J5 @
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]
7 P Q H, F! x5 x f
5 K6 f" G$ T& ppatches-own
* o4 p+ p& Z* W. @0 ^) A9 H4 n$ y[# o+ {6 `1 Y9 O0 u! C2 v: q' m) y
grain-here
. z. F0 v& Y* l1 ^6 x* }$ z' S$ D" h max-grain-here * U, }( H, P* D: z( {; s
]; {6 z4 U0 @3 M, `+ U
: D% ?& b% \" ~( R' O: i% k6 Mturtles-own0 N& H/ h7 r% [0 z. B$ `/ ?
[! x& A; [5 z7 u' Y g3 |
age
) P% u0 w6 V' b+ Z g2 e wealth
$ c5 t# }/ D( M- E life-expectancy - K1 S0 {* P4 G/ W2 j2 r6 t$ E' m& N
metabolism 1 T8 Z! H4 I* z+ x! q- f% [+ B
vision
! ?2 u: b) b; Y' b9 k" z inherited ( C1 b4 S) g- l
]
" v; J# G7 E# p. Z/ P4 ]/ B: v1 \' B1 U! C6 {; Y9 \
9 b1 c% H }4 x, ?to setup
1 X# [/ \$ q* I# B& t ca7 x8 q, s) v: z$ P
set max-grain 50" v' `6 q9 f' \) J4 D/ S3 g
setup-patches. b' J) t( |# W
setup-turtles8 Q1 Q- X7 ?& ^2 c
setup-plots
/ Z/ ?& D$ c+ s1 N update-plots' O7 D ?: F6 X( T0 x1 X' e% I5 O& O: j
end- a6 E+ F% `; j* c) `7 R4 h
to setup-patches8 E( H( M# C$ D$ W8 }' b8 n
ask patches, O4 l& }5 k% i* m8 e% Q) W
[ set max-grain-here 0) W) Q ~1 X) T* v- T
if (random-float 100.0) <= percent-best-land+ F( N" C2 j6 h9 B! L
[ set max-grain-here max-grain
2 ]2 o3 N; x+ o4 ` set grain-here max-grain-here ] ]; o; L9 b8 V: e9 ]
repeat 5
+ {( r$ _7 H6 W% g# n [ ask patches with [max-grain-here != 0]- B$ D9 G* b# V Z( c: ]
[ set grain-here max-grain-here ]6 @: z1 q l* i1 r' V- ?
diffuse grain-here 0.5 ]
3 b7 }" f3 s" ] repeat 10
1 P% o! t! `0 @" j3 k; A j7 @/ U3 V! } [ diffuse grain-here 0.5]
6 |5 d# _$ n4 c5 a+ j { ask patches1 r: B- ?0 q8 I4 t4 x. O( I+ p
[ set grain-here floor grain-here 9 I* X) r W1 n: `, `8 N
set max-grain-here grain-here . `3 v# v) C) u- K$ C- I/ |7 m5 a
recolor-patch ]
, ` E% M7 |' v" D5 C; q; tend
( E. o+ ^ n+ Bto recolor-patch 2 w% c* w8 d0 o
set pcolor scale-color sky grain-here 0 max-grain
$ D% n1 k% v$ Qend
- M: t4 v, I9 Y# Y) s* G3 Jto setup-turtles" Z) B1 a2 v+ _0 H8 X
set-default-shape turtles "person"
% d7 ^5 F2 [& a0 A2 x crt num-people6 X' t/ p6 z, I- m' Z6 p
[ move-to one-of patches " N9 _5 Y1 }+ A4 | m* }8 S
set size 1.5 % B; h7 i2 @2 Y
set-initial-turtle-vars-age$ j. }; ^6 y8 x4 R1 S/ B
set-initial-turtle-vars-wealth
2 C8 J1 `, o( g( K set age random life-expectancy ]6 Y; z% P& c6 g+ K
recolor-turtles
" i+ ]+ h7 j# e1 F+ T# wend! R4 S2 b; C# q! p/ V# O
! \# }- o! \ I# _4 Y3 y
to set-initial-turtle-vars-age0 Y# I8 L, K( E6 J! {
let max-wealth max [wealth] of turtles; ^) {& F& Y5 k5 P" Q" ^1 N
+ [( n4 J) f3 ~9 [ ifelse (wealth <= max-wealth / 3)
/ b- w6 K6 W: {* a" S3 |! W( [. L( z [ set color red , x- e9 y/ }' ?, w& a( Z; i
set age 0
& s9 V" {2 `! Z5 r face one-of neighbors4
4 H6 X, C( t% J& H9 S: n set life-expectancy life-expectancy-min +
/ w& j p5 e- h9 Z' e9 w' U9 ^( L" @ random life-expectancy-max
( o5 a9 s; ^. k/ }( G set metabolism random 1 + metabolism-low/ s6 a( y0 i1 ^2 m) c
set wealth metabolism + random 30% e2 z# H K; F
set vision 1 + random max-vision( T. n8 ]& i( v& A2 Z/ W& m6 g; B
set wealth wealth + Wealth-inherited-low ]$ n+ _) _8 U" [) _( |
[ ifelse (wealth <= (max-wealth * 2 / 3))
5 a8 J: I* e7 `' a4 X4 i [ set color yellow
# k& v# W5 M* C; q set age 0
9 a; y" D$ M! t9 @' G1 d- ] face one-of neighbors4
u& p" S+ A% V4 O8 z- J: @ set life-expectancy life-expectancy-min +
^$ ]* t, H- } random life-expectancy-max + 1
* [* _9 Q" r7 O9 f& T6 H& G9 M set metabolism 1 + random metabolism-mid
2 A7 G- `( p3 {' Q* H' Y set wealth metabolism + random 30
0 L0 t+ f6 I% ?7 A set vision 3 + random max-vision
/ T$ k, g% v+ F6 A% h set wealth wealth + Wealth-inherited-mid]
: [/ ^: r2 C9 U4 k' v2 C+ Q [ set color green 2 i8 N( J; I% _; a: B
set age 0
$ b& Y2 @8 C; K# i$ W face one-of neighbors4
- k; g4 W1 j4 s! |* E9 d8 O, M set life-expectancy life-expectancy-min +
: `" ~$ `9 t# ]& F1 q$ A% g random life-expectancy-max + 24 l$ I7 A" T0 z& m% J7 |& h
set metabolism 2 + random metabolism-up
& ?: ?2 ^* ]3 g6 l set wealth metabolism + random 302 x; I! ]2 V S: i* d b
set vision 3 + random max-vision
5 U. g# d( G' x. |: r8 _ set wealth wealth + Wealth-inherited-up ] ]
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end
6 x- h; b+ X3 t; \. e$ _to set-initial-turtle-vars-wealth+ {4 ^. O/ K S" @( O
let max-wealth max [wealth] of turtles, m3 [, F2 @/ z& t7 E8 P
set age 09 B1 m t/ {6 k @
face one-of neighbors4 0 Z$ K- t0 t7 \1 L2 P
set life-expectancy life-expectancy-min +
0 a3 o4 T# R; k' | random life-expectancy-max
X9 F6 |! k+ j3 ] set metabolism 1 + random metabolism-up$ j4 O! ?) b8 g, }5 t$ E2 [' |4 D3 `2 y
set wealth metabolism + random 30( z% f/ ]6 q1 X& d
set vision 1 + random max-vision
" ~! e' W- U8 o( |6 i/ L0 Mend
- Y& K0 Y0 e8 G. qto redistribution e0 T" C9 K, T s% R; I2 K6 }
let max-wealth max [wealth] of turtles, J1 e% B! O/ h3 [! K
let min-wealth min [wealth] of turtles
$ }5 o/ ^4 h& u& V2 ?" H- Oif (wealth <= max-wealth / 3)
9 h9 G9 K1 q9 p, S- v [set wealth wealth + Low-income-protection ]8 @3 e3 \# b' {7 n
end9 [- m! a& b r5 U s
+ p! I& X4 m$ z9 J/ `
to recolor-turtles
! T$ l8 [1 B$ V0 ~. D' N let max-wealth max [wealth] of turtles
2 }3 U1 x$ [+ S3 L% _ q6 E1 N ask turtles" F* g0 k6 M6 T9 f1 h4 L
[ ifelse (wealth <= max-wealth / 3)
7 m7 V4 R" M1 \5 U [ set color red ]. x$ m0 G* i$ {* [- V! \
[ ifelse (wealth <= (max-wealth * 2 / 3))$ C' h3 g; c6 j+ R/ A
[ set color yellow ]
! d: Q& R' P7 |; B4 K2 o [ set color green ] ] ]
+ n. z, O3 d5 A) U ask turtles [ifelse show-wealth?/ }" f* Z: I w$ G( t' Z
[ set label wealth ]
# _. J4 T+ H3 E0 o [ set label "" ]]
$ l, _( h7 z/ ~, f) gend0 y0 S& z3 a0 R6 t* ~7 x
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to go+ j) [4 G' C( [6 I5 W7 B7 b+ v6 x5 y
ask turtles, |3 R1 ]# |+ ^0 ^
[ turn-towards-grain ]
5 j4 }2 e+ H% o; ~% X Y) h5 X harvest6 [7 i6 B M6 l0 \, Y* K& T
ask turtles
0 p; o- k' ?5 f& d% o% |# h [ move-eat-age-die ]
9 {% d, J- C! D A/ u recolor-turtles. X; H0 Z, c) ^8 f2 B
if ticks mod grain-growth-interval = 0
- Z+ s$ m( e1 H' O6 F [ ask patches [ grow-grain ] ]7 P& C- D; H `0 Z( P y0 D
4 r5 [ Z8 N- v D
if ticks mod 11 = 0& v( K/ \; K8 a c Q Y
[ask turtles
( S' S1 h. d' g- R [ redistribution ]]
% `- g) h7 q6 ]% k+ N, L4 Q if ticks mod 5 = 0
$ N4 ^% E, V) O; q6 s; ^+ Q5 y# m Q ^0 f [ask turtles
~) D/ Y$ ]) O2 p [ visions ]]9 Y6 p2 a4 t# S; y
tick
1 d$ x+ s+ C3 T% a9 h8 y update-plots
! \* | f0 L+ ] C% Iend- y- y0 P! H, V' S
to visions+ r+ q. w& B, r" M
set vision vision + 1
6 N$ Y; @# |* T2 t: Lend
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/ j, I; F: `( I9 ]! A& m
9 Z" C$ G! J4 Y' ]
to turn-towards-grain
/ c. |" d1 c, O; b set heading 0
* N `& o! Y1 ~/ k2 t5 Z+ R6 ? let best-direction 0
$ D2 Q7 m1 Q) d6 y, A let best-amount grain-ahead
T8 t( E9 N" T; |" h. c8 C2 R set heading 90
$ E$ U8 Y; ~7 v2 e9 }" G1 Z if (grain-ahead > best-amount)
" C" g: r, p6 v& p- V6 S7 @ [ set best-direction 90
* ]( C; I9 j& |% z9 p set best-amount grain-ahead ]) F+ Q# ~. b* p# A8 N5 }, `
set heading 180
+ l, U0 L9 p+ a" N; _% p$ ? if (grain-ahead > best-amount), R! _: ]) J; Z
[ set best-direction 180
2 {) Q5 Y4 L! M0 x- `! z set best-amount grain-ahead ]* c+ x: q4 b! f ^* u+ e
set heading 270 p) x5 P, t% T2 Q
if (grain-ahead > best-amount)
% h, H& d0 s+ C" c8 n* o [ set best-direction 2707 E" D6 U( r; m
set best-amount grain-ahead ]4 x2 A: e! w6 i, f0 ^
set heading best-direction" l) L! I7 P% L: U1 {/ S2 s4 c
end
- [- a3 z0 c+ o. e
! l$ o8 t4 I" \/ a, q g2 T) y
7 N+ D0 @9 U# Q- j. c0 Rto-report grain-ahead
$ g, u9 H1 A4 Z- {3 O let total 0% }( l/ T0 O) x1 U; V5 J/ L
let how-far 14 K6 }& v0 o4 p
repeat vision
6 ~* o) N+ C0 R) D [ set total total + [grain-here] of patch-ahead how-far6 t/ Q- W/ n" m: u) Z2 n
set how-far how-far + 1 ]$ N! }% ]' G u6 D# d
report total: ~; C; x/ C H6 q5 ^# A: \7 C
end) n/ s; _' T( r5 Z4 o! X. U/ D
& q2 y! @; N; z
to grow-grain
' c! D4 s) ^3 U6 M9 s, C if (grain-here < max-grain-here)% Z0 U! L( L; A! V" N
[ set grain-here grain-here + num-grain-grown
5 C& f/ G! R8 G; ~5 u3 }6 u7 I if (grain-here > max-grain-here)
2 T3 z# [' j/ l6 n [ set grain-here max-grain-here ]
' F# p0 H7 v/ M0 v0 ^ recolor-patch ]$ v" J9 u6 I8 \! O' b, ^
end/ ]" J7 ]: q0 T$ L8 x# W! S. Z* M
to harvest% S4 Q/ H% q9 A$ g8 V$ I% @; y
ask turtles+ y3 |* F' E% I+ C: e
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]6 v) S. M6 @/ Q$ Y+ y
ask turtles
2 d$ W& Q3 d# D6 J# M [ set grain-here 06 c, C, q4 b* K) ?4 p M
recolor-patch ]5 Q1 d1 q5 f+ x' G9 g, X( L
6 J" b8 w" {9 Q1 e% e$ g, L! qend: _5 V* @+ t C; X' y8 _' v, N6 k
- [, A8 B" N# F' r/ @to move-eat-age-die
* {, r/ l9 y" E) c fd 1/ V6 |2 u4 D Z) G" u
set wealth (wealth - metabolism)
( ~$ i, L5 E5 S) [ set age (age + 1)) n2 o+ B; c, C4 w
if (age >= life-expectancy)
6 H9 F$ U/ z e2 H+ J! r( t, V3 s [ set-initial-turtle-vars-age ]+ Y* t3 O' S; \# U+ x* o
if (wealth < 0)
+ A+ c, i/ K2 I! U G1 E( v [ set-initial-turtle-vars-wealth ]0 a" H% G7 L4 T- `1 U1 n$ ?! {
: R: v) o2 Z; V* g" [end
8 t1 V k4 J/ H. N3 V
8 e: x5 W9 n1 P* n7 Z$ e! t1 |' z7 v& R9 d
to setup-plots: A1 @# R/ M, h3 w& h
set-current-plot "Class Plot"& C( r7 R0 T5 `& \' ?, H
set-plot-y-range 0 num-people& w8 U+ D4 q# F2 S1 w' R z
set-current-plot "Class Histogram"9 y. d* [$ c' g9 t4 `, ] u
set-plot-y-range 0 num-people% O9 d& E! y, R7 t' V3 E
end
1 z- r8 z# [9 A4 ?7 B: Q I+ P; V4 A( }
to update-plots
+ G9 s5 t" p/ p& y- F2 b update-class-plot
* X& {8 m+ [' s0 f7 B update-class-histogram! W1 u. J) V: y6 V
update-lorenz-and-gini-plots
$ x {- ]3 b0 Dend- \: b+ C9 D& i' [. X
/ x1 L6 M3 C/ S1 Q3 g6 p
to update-class-plot
& G; n6 K6 v+ [! D. ?* Q set-current-plot "Class Plot"
1 n5 U- `9 ?1 ` set-current-plot-pen "low"0 [9 |" I3 ?: l4 | a
plot count turtles with [color = red]
5 x* X- G7 [& `$ {* O! s set-current-plot-pen "mid"7 m" l6 X8 l1 C8 h) r
plot count turtles with [color = yellow]
% Q. Y/ ~, ?( \& u9 _ set-current-plot-pen "up"7 A; g: M9 M# g. H+ @
plot count turtles with [color = green]1 s, G& v4 q# I9 A: q2 Y
end
. p% V% A6 u& p6 d4 J9 R2 `
* a( `- g8 Y6 b- X8 {5 M% z8 Vto update-class-histogram
3 j% h5 N. F3 Y1 f set-current-plot "Class Histogram"
+ @+ b3 F' i: O4 Y" X; V plot-pen-reset. p) n3 s+ T( c" ?* _! \
set-plot-pen-color red. l0 ?/ S6 O9 {" G2 _; l" O
plot count turtles with [color = red]
) ?! |8 e3 y# z4 N- t set-plot-pen-color yellow
1 s# p' x( [% K/ M( t, J- y( s plot count turtles with [color = yellow]
: k' }0 q( k9 u set-plot-pen-color green
2 h ], I$ H* k7 m, W plot count turtles with [color = green]
; s$ k' v: S, Z5 ^& jend& K* \7 X3 Y& \4 _) _
to update-lorenz-and-gini-plots
8 V: k9 p; y! O. u& w7 g1 K8 v set-current-plot "Lorenz Curve"" ?5 U. S3 ~, H1 P& o
clear-plot4 ]( U, _' m8 I6 Q6 Z# `7 c5 k
* B& ?/ A+ Y- a$ \0 w* y" b
set-current-plot-pen "equal" R$ l. _3 Y0 E6 K( A- |
plot 0% d, F+ n& R" ]/ g: |
plot 1009 P( P$ X4 Y& i
2 i; ~$ P n; N
set-current-plot-pen "lorenz", Q% {/ G3 j; l8 D! d8 ]
set-plot-pen-interval 100 / num-people
* V$ c! ?# B, y4 T5 f, g y8 L plot 0
; C D: m0 W. \3 u3 A; X+ ~8 I+ \' e, o
let sorted-wealths sort [wealth] of turtles9 j# [5 j4 G/ z' W9 s
let total-wealth sum sorted-wealths1 b3 W9 a$ `2 |1 g% Q
let wealth-sum-so-far 03 b/ {& X; d0 Q- T' u
let index 0
: e7 i: ?( R4 S; x let gini-index-reserve 0' `# ^: H* q/ [0 S! j, ~" A, I
) B. {+ W b c0 c: l- t/ Z repeat num-people [
1 ]) J5 P! y# J# v" |7 M+ P5 v set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)7 J" X, ~* X. ^/ D
plot (wealth-sum-so-far / total-wealth) * 1003 i5 s0 v. q! g
set index (index + 1)
% e- }! x2 J3 I4 b2 w set gini-index-reserve7 L; \- ~4 P) V, ^0 g! t+ F2 p
gini-index-reserve +) u N5 [- O7 p. m# }
(index / num-people) -
4 m! |2 S3 S7 P! C. k9 B, H (wealth-sum-so-far / total-wealth)6 Q H a8 Z: _; r
]. T# d; V$ C0 N
3 N! ~' C# e l- s4 [" L: W8 | t7 a set-current-plot "Gini-Index v. Time"
. T, w- Q$ @7 B7 B+ m# m plot (gini-index-reserve / num-people) / area-of-equality-triangle
7 t+ A o6 W) u3 Qend# |' A% m% G9 X- Q
to-report area-of-equality-triangle# ?, G( L3 `; g3 p- i8 d; m+ t
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)3 f: z) U8 m) f/ G+ I
end |