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
/ ]. t- w, y$ X0 B3 E# g/ yglobals
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max-grain
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]- \# x( `# T6 F4 Y6 C2 i
: \( ?* P$ W- C3 F! m, upatches-own
\! L9 j& W/ U% r4 @[- s# r5 d( a3 W4 H' f; ]: E( s
grain-here * w$ s4 e; w% D$ N+ j
max-grain-here
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turtles-own7 I1 u! {3 s: `0 `2 ?
[3 K* k5 d5 d( ]6 k
age : f) ~1 E2 T" h8 E$ x( e ^
wealth
& l4 g( o3 E G Y life-expectancy w, E( S; L+ w
metabolism
: I" g; Y+ j+ ?" i/ V vision2 }* c/ v6 Y6 ?0 c, l4 w+ x
inherited 4 Y6 v( D4 P6 r4 }9 c$ w& y- Q
]
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3 O8 s! ^: b% s: ~3 l( @to setup" \3 j" z! k- g" v/ D' Y! H* T: g
ca
, S7 Q% r5 ]1 a set max-grain 50 t( B9 ] p' d& c- f
setup-patches T7 o& n6 H' p$ y
setup-turtles' E7 t' Q% v! |
setup-plots
' i# n9 |. ~3 h5 h! F, m update-plots Z, X1 n0 u1 _
end
' y2 n" f1 }! R; J M, Fto setup-patches0 G$ `6 U, V0 v1 w/ Z% \
ask patches* l! j( b9 K8 m" G V
[ set max-grain-here 07 O y7 Y* i/ _+ @* b6 F
if (random-float 100.0) <= percent-best-land4 }8 N/ s \. d" D2 x. b
[ set max-grain-here max-grain
$ E7 V3 a! c# t: R9 e, O set grain-here max-grain-here ] ]
9 }* ~8 }5 M# @" {/ K repeat 5
' f& W5 z" Z, P! `" k0 g [ ask patches with [max-grain-here != 0], ~2 G2 ]3 `5 V' n I
[ set grain-here max-grain-here ]) [" w/ i/ r1 L4 {3 Y
diffuse grain-here 0.5 ]
$ C! \* w7 j% l2 @9 x repeat 10
+ u; L+ Y! s5 T8 x( e [ diffuse grain-here 0.5]
1 o: G6 H1 B2 T G" E; V ask patches- I% m: {; s4 o S
[ set grain-here floor grain-here 8 U% W; X. w D+ s1 x" z9 {7 d1 c4 v9 O
set max-grain-here grain-here 8 ~( P2 _4 O0 ~- Q2 c
recolor-patch ]6 z" _: Y" }1 A0 H! K
end
3 _# _/ ~6 y1 fto recolor-patch 6 r3 d( j9 q: R- u% E* S
set pcolor scale-color sky grain-here 0 max-grain
& d" g3 j0 Y- w( o5 X7 [: |end
$ b. A$ v c2 F4 b) F. tto setup-turtles+ p9 O2 \" t. u8 h/ n7 ^
set-default-shape turtles "person"
! e0 R( K- F/ w2 E$ D1 Y crt num-people
' p, h( l& U! j [ move-to one-of patches 5 V F0 {( A' e. U7 A& `9 F/ f
set size 1.5 Q( e! s2 U/ B
set-initial-turtle-vars-age
% G& t7 r* J% \: f& _! p set-initial-turtle-vars-wealth
* m2 S' [8 y6 ?+ H set age random life-expectancy ]
6 a1 f/ Q9 ^+ }( \/ @1 u9 B1 L$ j6 ]8 Q recolor-turtles
. l6 T2 R' j4 v! u! O' nend+ P3 B( a! v$ b6 b$ o
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to set-initial-turtle-vars-age
+ ~! R2 ~% O& o( u- _; n9 `1 n9 b let max-wealth max [wealth] of turtles, T; h4 z$ z. C- m5 Y5 _7 L% n
- r$ k; k4 G; N ifelse (wealth <= max-wealth / 3)
: s7 Y3 |( y, r! R; K [ set color red
+ J; Y& T5 D( T8 f( Y: ^: z set age 0
6 B9 N0 t7 q* p; W8 ]( W8 N3 J face one-of neighbors4 2 u+ ?- X' ?% Y$ v+ H+ F0 ]/ F: m
set life-expectancy life-expectancy-min +
! N- z# m" @' E$ J; r m random life-expectancy-max . @+ z' u( b! C7 y
set metabolism random 1 + metabolism-low
" {# ^% O# L* |$ ~0 h set wealth metabolism + random 306 @8 }5 B- {8 P! R
set vision 1 + random max-vision2 Z1 `, X4 a; n6 C1 s
set wealth wealth + Wealth-inherited-low ]
- c x& P- e8 a0 U+ s% | [ ifelse (wealth <= (max-wealth * 2 / 3))
* f- O$ U! c4 X& C) A [ set color yellow , t1 g) F/ b ]+ g; S% r8 C0 }
set age 0& u i# S" a' [) k
face one-of neighbors4
/ d9 S1 v6 b6 ^6 [& F4 E! n set life-expectancy life-expectancy-min +
. B3 u' i' D; L' J: K random life-expectancy-max + 1 G8 m- ~- t* o
set metabolism 1 + random metabolism-mid# D. u7 z6 N+ o( g% Z
set wealth metabolism + random 30
( W {6 s7 ^) ~' ~9 O set vision 3 + random max-vision1 A$ t R+ |' I% [4 ?3 V
set wealth wealth + Wealth-inherited-mid]
$ K" o8 n4 l/ v+ A9 t; s; h2 z [ set color green
6 R7 j9 d4 A7 z1 @ N8 ^1 Y set age 0
! @- h1 w7 e% i$ K! G3 o- |$ o* V$ u face one-of neighbors4
3 A$ K. \8 y: j. k; g- Z1 C set life-expectancy life-expectancy-min +% n- a: l. n( R" e
random life-expectancy-max + 26 ?: q/ u# j4 P% A5 p% F9 s
set metabolism 2 + random metabolism-up
! c1 Z! W1 K1 T$ L& Y( z7 ]5 E set wealth metabolism + random 30! T$ f- i; b2 ]
set vision 3 + random max-vision- K5 i2 w- J* |
set wealth wealth + Wealth-inherited-up ] ] ( ?! O* R$ j# b( m& G o& J
W3 s* w& V9 _6 d5 e3 o
end
$ q6 F4 _0 |8 D# G0 hto set-initial-turtle-vars-wealth' i. l. l/ t" t! e
let max-wealth max [wealth] of turtles
. T: F& c" T6 W( O# J* ^ set age 0, O( q9 N* j l4 k( G$ M$ O
face one-of neighbors4 % W. Z. M2 b5 a% K! V
set life-expectancy life-expectancy-min +7 Q4 z9 ^! Z& J, s" h: {
random life-expectancy-max
' L2 s$ @8 p+ R3 M4 w set metabolism 1 + random metabolism-up
" H7 d/ s' E6 O$ [- L6 Q- i set wealth metabolism + random 305 A/ q+ O! G3 Q' u/ R
set vision 1 + random max-vision $ q. \+ d9 K6 q9 a! g
end
; ^5 u: S2 S) y! Cto redistribution/ O8 Q/ e3 e6 Q7 n
let max-wealth max [wealth] of turtles
; b7 F" \ ], Z6 ^: A3 vlet min-wealth min [wealth] of turtles C: i& c2 a4 ?. L7 y& O8 ]
if (wealth <= max-wealth / 3)
: ], W! u6 M! T" d [set wealth wealth + Low-income-protection ]
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to recolor-turtles
; K, s- Q2 I. ~* N) e let max-wealth max [wealth] of turtles% S) o( \9 O6 r0 @. O
ask turtles! d) G% a" C3 o& \6 R; Y
[ ifelse (wealth <= max-wealth / 3)
* J% v/ c. d/ V) J: } [ set color red ]
* u& f8 ]4 [; a @2 p4 O [ ifelse (wealth <= (max-wealth * 2 / 3))
0 E! U% g) `/ j( f$ P) E [ set color yellow ]
3 p* ?/ s! ]# `% k* N7 T) s/ g6 A# [ [ set color green ] ] ]
' H% h- y! O8 A$ w: J# N" B6 x ask turtles [ifelse show-wealth?
/ v. d9 C, x9 e: h1 }+ y9 C [ set label wealth ]4 C, y% y* Q- @0 ~0 N9 h7 |
[ set label "" ]]& H( D- I, d( y7 s
end
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to go+ w0 l0 U4 j, ^3 x! C& t
ask turtles) v: g8 |8 l6 |; d
[ turn-towards-grain ]
" K1 x/ k9 P7 L: B harvest
) d, p% I0 k# h& [9 T# z' L ask turtles
) E* E# F2 u1 i9 T; b [ move-eat-age-die ]
4 W( z5 D/ n: q, d4 | recolor-turtles
" }& f/ l/ `& [8 Y if ticks mod grain-growth-interval = 07 s2 a) ~4 E" ~2 C% A5 n' d
[ ask patches [ grow-grain ] ]
2 C* o; j" y9 ?. W$ J" A 2 z5 o- u" E" T: H$ g/ X: r1 u" x
if ticks mod 11 = 0
) E" e1 U6 J8 r* ]% j8 G [ask turtles9 P' O' L: n K( u" b: s0 m
[ redistribution ]]
; Z+ S% T* K% z- D# [: O' B1 ]: P if ticks mod 5 = 0
. B$ i4 s* p/ B5 }8 \) A [ask turtles. e% K% p4 N4 a. r. S
[ visions ]], N9 Y B+ G5 b0 ^ ~0 a
tick/ A5 y: G' I, m* d+ N# ?
update-plots
# x% r1 n/ S( F3 m- }end
/ x7 J% c) @+ Xto visions+ F! Y- Z, q% P" Z. {5 X* {
set vision vision + 1
; @2 A0 b2 f- k: Cend
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0 s$ o6 y: u3 c, t
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to turn-towards-grain
) ]0 u- z1 J+ l. ?3 g. B0 s set heading 0 Z) h' h' @: G
let best-direction 0' j$ X( W$ [* X( o q [3 L
let best-amount grain-ahead# v5 G s9 {3 k2 G" E3 _7 q
set heading 904 {5 s- k4 M- H& ~8 O+ X% ]* q" K
if (grain-ahead > best-amount)
/ y# `7 W) I3 b1 y [ set best-direction 90$ e1 k7 m) o. M" V9 q8 A2 a$ ~3 n
set best-amount grain-ahead ]
& z. t( J) u$ ^ set heading 180' U; {' c/ I) x& m
if (grain-ahead > best-amount)
! j+ \6 @* G& u2 B) { [ set best-direction 180
; [7 E! q9 L( H2 O9 a V2 W% s N set best-amount grain-ahead ]
8 r0 y6 u! ^4 k3 {! x set heading 270
5 d i* k: g/ {8 P1 N if (grain-ahead > best-amount)) s9 m# T: q7 I
[ set best-direction 270
8 T# ~ I& T+ G2 ?/ H set best-amount grain-ahead ]( r' {1 j7 m- O: `# i/ \4 j6 e% g
set heading best-direction
8 S2 i/ ^, d& K' S. send! \9 p6 r3 B3 R! G$ R, @
/ x! G4 p7 G8 Y% e7 E0 E
) I F) H5 c5 bto-report grain-ahead 3 H& G( ]* v8 u5 H
let total 0
) j6 y8 a+ m/ Q& o let how-far 1* Y& r# x" B% Z% V
repeat vision
+ o0 C# n6 P& ]) [) L8 g4 Z [ set total total + [grain-here] of patch-ahead how-far
& z8 J+ H+ S4 Z5 y: Z; |5 I set how-far how-far + 1 ]
* t7 t8 ~5 b2 b$ d( {0 v$ i3 O5 _' t report total" V# m+ T- g( v4 W
end
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to grow-grain 2 ~+ a+ T9 M; _4 O
if (grain-here < max-grain-here)# M' h W" ?, Q: v
[ set grain-here grain-here + num-grain-grown! V0 {' O3 Y$ b1 A. a$ o" ^' g) X5 H
if (grain-here > max-grain-here) 3 |: w- P$ V' `3 u3 u. Q5 V
[ set grain-here max-grain-here ]: x+ C, i. N) k( q4 R9 k
recolor-patch ]
% m2 C# I" l8 n% E$ oend) U6 H8 I6 u' x9 v$ J! r
to harvest
, c! A0 B' y' E' r ask turtles6 q' c+ A* ?3 d6 y) c; L7 K4 t
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]1 O0 F; G: J$ C: O6 k# `
ask turtles* e3 w$ a, O& @" L0 X! Y. Z
[ set grain-here 0$ G1 u2 |! q/ T. \ w
recolor-patch ]
& y; F9 i. Y" z4 I5 e4 T : i, H3 G# I; W$ {4 @+ e6 y$ u+ t
end3 o# s L5 E X
9 c# \! o: @7 h: a' D- Qto move-eat-age-die
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set wealth (wealth - metabolism)) D5 n9 q' _8 x: _5 v7 s- V/ Y
set age (age + 1)
- W* D0 q: I/ \ if (age >= life-expectancy)
6 ^3 O7 {4 k4 f. L1 p7 W% S [ set-initial-turtle-vars-age ]
C/ o! F1 B* j0 `0 P if (wealth < 0)- A; d+ b" s! Y7 M" g
[ set-initial-turtle-vars-wealth ]" @+ P, c1 n; s) h
2 Y0 B9 H* |% N& J, S5 D
end
# g+ ^+ \) }! m. y
h3 Y) B2 p# m8 u
' M# O% }/ T3 p: M" O+ u4 Wto setup-plots6 m: x% i0 L, z- f: b' X
set-current-plot "Class Plot"
9 i( Q7 F7 r3 y1 t set-plot-y-range 0 num-people
& s* @7 i) t% a( a0 A set-current-plot "Class Histogram"
, f g% b& C3 a3 b; ` set-plot-y-range 0 num-people9 \* B. @2 |1 V- r" B$ x: U
end, l% e3 q% r" m8 z0 }
7 I8 d/ R4 s/ y2 J+ u* U" f$ Eto update-plots
4 s2 Y5 ?) j% A5 j$ v6 R& Y update-class-plot6 N Y% ]3 C2 H( Z
update-class-histogram
# m9 U. o$ Y5 `) @1 E$ X update-lorenz-and-gini-plots
0 B$ [" ?& @! n& O8 x3 Lend i r* O- T! \
; S1 k8 p7 i5 g! Jto update-class-plot/ [+ q _9 J2 G0 c& O& `
set-current-plot "Class Plot". z. v' }5 P& @$ j; |% t
set-current-plot-pen "low"( j3 T: n+ n& X
plot count turtles with [color = red]
+ i! P0 Q( S& z) Z ~7 D& ?: V set-current-plot-pen "mid"7 I$ A, D4 O2 `. B( t
plot count turtles with [color = yellow]
. G' M ]- n8 o7 b. ?. b/ L set-current-plot-pen "up"
7 h2 a3 f, J# N% p plot count turtles with [color = green]
8 [2 N9 }1 Z, M send% G. v9 X0 O0 O2 g- n
- l( {' |4 M7 v' o7 vto update-class-histogram
" N/ |( L+ r1 B/ }# `* Y set-current-plot "Class Histogram"
! y3 |& u9 y* Z" @, J& h0 E, W plot-pen-reset
2 o: d- v* U$ U$ z set-plot-pen-color red& u4 U& j6 T# O8 u. m& Y( W
plot count turtles with [color = red], Y% P. B: d3 G- s7 ~# @
set-plot-pen-color yellow
* q' W9 [9 u1 S- p% \* I S) H0 _ plot count turtles with [color = yellow]9 B3 P- Z, J2 @! \$ @. ?
set-plot-pen-color green
2 f* J0 L0 L. o7 E& i plot count turtles with [color = green]. L+ i& G' v% o! W) ]' p
end
9 R# [: a8 v! U( j4 x7 pto update-lorenz-and-gini-plots
( z* u, d# o7 c" B set-current-plot "Lorenz Curve"
, l3 K8 j& S w6 l clear-plot
, L* U$ D1 L. ]2 W8 J* e" e, H n6 H& `) i3 e
set-current-plot-pen "equal"
, ?! z" Y5 T) u4 X* z$ D0 [ plot 0! o6 K. e! S# f/ }2 A
plot 100
( J$ Y3 }! W7 d! o6 Q
" }/ m7 _9 o7 U2 ? set-current-plot-pen "lorenz"
! N, `7 q! @8 |' D7 H- ?% G4 B set-plot-pen-interval 100 / num-people2 t$ G5 ]8 x9 H& l8 O& L
plot 0- \8 t, u. c. _/ T
3 M/ q5 `- Q7 z0 z8 G/ w
let sorted-wealths sort [wealth] of turtles
" C& G4 ?# v1 }/ |& |1 L let total-wealth sum sorted-wealths
/ E: |+ ^# ?; t: A: c" d/ M2 F let wealth-sum-so-far 0: o% U% D) M! ?% `/ T/ l2 P# ] L2 @
let index 0( x& x( ^5 J9 V, a5 ]' a
let gini-index-reserve 0
% d d; i; r: Z, a- i& `* V' r5 }6 T) K3 ^1 b0 k7 Z
repeat num-people [
7 Z4 Y. i, ?7 K6 \ set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
" c' F: k, H0 N! e plot (wealth-sum-so-far / total-wealth) * 100
1 ]; T7 B. A6 |. \$ q) A0 u set index (index + 1)
) M N0 { |/ \; _; D4 { y set gini-index-reserve
2 a& K% w4 ~0 g7 k gini-index-reserve +
& ^: @0 y4 @& f (index / num-people) -
& J2 s( L( O, |5 g (wealth-sum-so-far / total-wealth)
9 R8 @4 h; Q( C) b+ i ]6 v: B, H! j0 i' |! D$ \/ H% N
2 M! G& K; ?( ?( ]6 R set-current-plot "Gini-Index v. Time"
& V6 N& ^8 e* Y! S9 l3 I plot (gini-index-reserve / num-people) / area-of-equality-triangle
% S. h7 O+ F2 y' eend
9 p$ n" e* c% z, n* Y9 Oto-report area-of-equality-triangle! f3 \, N7 Q O1 ~' V5 v4 b
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)1 \6 q! ?" i& }' @: B
end |