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
( b. s0 j( H0 d) G3 Oglobals
% }9 e' B Y9 ]2 w[3 O( R, t; q n* Z: I U) ?
max-grain
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]
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patches-own
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grain-here 6 I/ \2 C- C/ n" Z6 a' p
max-grain-here
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turtles-own; C' K" B3 u9 w& ]& d4 A* X
[
3 i, N2 ?/ h" O age ; ~; a) U* M) f; H0 q- p" q
wealth
0 h) J" m0 M# z7 L. e/ i' n life-expectancy
+ @: `/ |) `- o* E; H& k+ o metabolism $ d0 D! `6 U9 |' u" H' B
vision& \$ B7 K6 \& o5 L0 O
inherited
& t3 s2 ~2 F- P/ ^8 V]) m& \7 h+ Q( d
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& C. M$ O! K% r& [7 dto setup4 {( z1 \5 f- U; v5 Z0 l/ q0 y
ca3 o5 m3 ^, y P4 ?9 O) l$ ^
set max-grain 509 i' z) G4 X4 P. q$ \" g1 S. ^
setup-patches
Y8 T" k l! h/ c& j7 Y% R setup-turtles
) g9 @9 `, V3 r) B2 P3 L setup-plots% Z- L5 Y" q7 d% G2 _* _
update-plots
# s+ V1 B; R2 e M1 J* Z* M& Jend
- d4 i; w; F# _- I, O! \9 pto setup-patches
t3 g+ G- v; S. @7 d' ~+ c; j ask patches2 E1 X) _; L1 y- `
[ set max-grain-here 0
5 J {+ `, F* m# `& f0 a h if (random-float 100.0) <= percent-best-land8 K2 @0 v" T" U( u
[ set max-grain-here max-grain) F' U. `. U3 c0 F7 h2 ~
set grain-here max-grain-here ] ]
: ]7 G: V9 {, j, p2 F repeat 5
' Y6 e0 R! w( q& I( P4 z( U( E& w [ ask patches with [max-grain-here != 0]
2 Q# B# [( m1 W8 J [ set grain-here max-grain-here ]
: U4 q/ e% i: K diffuse grain-here 0.5 ]" j9 ?+ m! ^* ^/ G* i: h
repeat 10
# Z7 H- W. b, g# |, H [ diffuse grain-here 0.5] * q& K4 k$ k' L
ask patches
1 _- L; ~: h( _; {% ] [ set grain-here floor grain-here
# n4 Z# ~4 e7 F, O6 R1 t2 P set max-grain-here grain-here 0 Y1 Z$ ~9 I) K- C9 `. j. x
recolor-patch ]; G0 C- A) {: h, s
end* @; D0 z5 F* d, o: Y& l' U
to recolor-patch & s. O: m# w# U: F) C
set pcolor scale-color sky grain-here 0 max-grain- ?+ m7 H3 E q" A. E
end& Z+ j9 P* O5 F2 r: S- X4 J; y
to setup-turtles
, h' b1 W. z- M" c8 k- ]% `/ ? set-default-shape turtles "person"
# A$ b& N* A" f) k: P) u Q8 o' a crt num-people2 M# B6 z9 O8 J* B O" }- t
[ move-to one-of patches 5 l9 O+ ~; X0 g) J7 H& p0 z
set size 1.5 ( v+ ]- {; f0 `9 q' J
set-initial-turtle-vars-age
/ |" n9 ]( k$ a6 U( a4 { set-initial-turtle-vars-wealth
) S. K, h3 q, c4 p+ h1 s; k+ Q$ v set age random life-expectancy ]
9 [" J# O% T/ Q1 v recolor-turtles- O2 q5 z# T _- t4 s1 ~
end
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0 n {1 K5 [# J% pto set-initial-turtle-vars-age
" v/ |8 x, ?5 p! G+ Q* x& B let max-wealth max [wealth] of turtles- q0 R* L9 K. K# K- r" d
L& E2 O. j9 {6 V' z7 h) y) v" K ifelse (wealth <= max-wealth / 3)1 D+ h! S: C0 L0 ?5 z
[ set color red
0 f( s! m, m3 q; V6 o% N2 }% m$ l. y$ { set age 0
; h, `) y; Y @1 C" w face one-of neighbors4 $ j5 b/ Y7 X' L! Y
set life-expectancy life-expectancy-min +4 G: N0 a! n; S9 O9 C% P/ V
random life-expectancy-max ]& }& q2 J- I) G8 M. c; x
set metabolism random 1 + metabolism-low
- Q6 T V9 @0 A. H! W set wealth metabolism + random 30
+ u1 |8 M" x) _, B2 I# n set vision 1 + random max-vision
0 A( N& a/ I3 N set wealth wealth + Wealth-inherited-low ]1 g+ I3 d/ g, j# A
[ ifelse (wealth <= (max-wealth * 2 / 3))
) U$ E- {4 P+ f) H" w8 a5 V$ l/ T; {% e [ set color yellow g% p4 g& S M, ~
set age 0
; M* l$ s y; n2 Z) {6 ~$ t, S1 y face one-of neighbors4
4 ]5 k) p+ v+ X! h8 \ set life-expectancy life-expectancy-min +
9 {3 U) C# \. w random life-expectancy-max + 1
* h _( \6 B* g set metabolism 1 + random metabolism-mid3 m8 c* y, U- [8 A" ~" t, W" O
set wealth metabolism + random 30
' G, e W) W4 e c set vision 3 + random max-vision/ G' g: O! D V5 h
set wealth wealth + Wealth-inherited-mid]
! C. ]" L3 P% u* G) v& }5 j X0 A [ set color green
* Q( e9 v' z4 n- o8 [( @- T set age 0
+ r" l8 W5 z: R0 a3 ^8 A q) c+ K. V face one-of neighbors4 + N4 R, E2 y9 F
set life-expectancy life-expectancy-min + g6 c r' e, O5 E. k
random life-expectancy-max + 2
6 Y) V; u5 x# J9 @7 y% y4 \ set metabolism 2 + random metabolism-up
& ?* ]/ B7 j: G! } set wealth metabolism + random 309 ]* F( N7 b% |% e, n" u" h7 }
set vision 3 + random max-vision
7 i, M0 G0 {8 z7 v8 @+ W set wealth wealth + Wealth-inherited-up ] ]
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end7 D: D* N+ I6 z# H/ q) E! x2 P
to set-initial-turtle-vars-wealth8 W! a2 m% q% J( `/ x6 T0 Q
let max-wealth max [wealth] of turtles
& Z$ L: k8 i, ?" }3 h; ~ set age 0
w2 n$ ]2 H. g1 C# t f6 S0 m face one-of neighbors4
- g% S o6 K' T$ Z6 O: E' }6 [( ] set life-expectancy life-expectancy-min +
$ N/ L$ v0 Q9 U7 _0 g5 ~ random life-expectancy-max 3 J' {8 l4 }. O$ j9 M8 F) D+ V- ?# p
set metabolism 1 + random metabolism-up8 [4 X5 r( s- K$ i% p# D) a7 i% o
set wealth metabolism + random 30! B& [3 R7 m: ?; C+ R
set vision 1 + random max-vision
* @- D# U7 q- D0 r+ qend
@: [) V; ^- B9 Mto redistribution$ o# \8 M' j" d! G( f, Q8 |
let max-wealth max [wealth] of turtles
# O2 P" R8 S, |6 x( x( O/ ?7 Q3 {let min-wealth min [wealth] of turtles, ~& V. r% k( I
if (wealth <= max-wealth / 3)
; W/ i$ i8 U' }! L- E e: [; _ [set wealth wealth + Low-income-protection ]8 r' b$ h8 y: g* V
end- O+ s& w: O# U8 \! b5 z
7 p+ [0 |# \3 a+ z$ qto recolor-turtles1 x; [: T3 C* ]$ [
let max-wealth max [wealth] of turtles
' i; X1 R U# i* W ask turtles1 v7 u0 G( @: R! P3 E; C
[ ifelse (wealth <= max-wealth / 3)
- O# \5 r; U! |0 h. j: I" C: n. U [ set color red ]' C* R2 V6 Y; c ] v8 v+ u
[ ifelse (wealth <= (max-wealth * 2 / 3))! c% N9 U4 J" W" y# E
[ set color yellow ]
, ]# }! a# U. W# D [ set color green ] ] ]: K) { D# N0 J: S7 j
ask turtles [ifelse show-wealth?
, T/ ~! T1 T6 `' H; d3 o3 e3 C, e [ set label wealth ]
" Q% g8 c6 g% @* l2 e1 R [ set label "" ]]
5 I7 s4 y, c8 k5 w! oend$ B% u$ G3 p+ M9 S
: X+ t+ \1 I. L% k Y9 s1 K7 Yto go& v9 L3 w5 X8 W
ask turtles
( k9 f8 J: f! T. z6 ~9 A1 ~- o9 j9 U% F [ turn-towards-grain ] # U8 ~4 z+ ?) _& n
harvest5 v6 U$ @, r" k2 y# b
ask turtles
0 e5 h* h c. M. i7 \8 L [ move-eat-age-die ]
/ g2 d# F* E( s0 ^: j6 G" q recolor-turtles3 ]7 ^4 [( c# J0 r* G
if ticks mod grain-growth-interval = 0% T% a; X4 Y/ a' q" s# Q! ]8 Q
[ ask patches [ grow-grain ] ]
2 }0 v( ~; E; B5 Y
4 r" B, d+ X ?. n- e if ticks mod 11 = 0) G+ ?9 H+ i# S0 o3 m# K& s
[ask turtles
( y! C; G3 s, @( G/ u3 l/ P [ redistribution ]]4 b+ I+ b) S" ~7 t: w
if ticks mod 5 = 04 g9 a, U2 n$ x6 k
[ask turtles' |) Q9 m* d" F7 l% L$ c' |* q1 z
[ visions ]]" e+ b% D! T$ K1 _# r# [ B& Y
tick
7 X7 ~4 D" n% f, n! V update-plots0 I7 z. Y0 w6 W) B4 a
end2 q2 N+ U' |1 X0 \1 t; ]
to visions
/ M! _& R$ x' v4 @ set vision vision + 1
, P% e: d6 I; M% W. g/ l# Hend
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2 \8 @* |6 m9 t/ N2 q
/ o+ N- z% I n0 o7 dto turn-towards-grain
3 _( n2 U3 N( P, ]) r; s% R set heading 0
) D! h# w" s1 q! f U7 Q let best-direction 0! d8 ^. P1 b& Q8 [
let best-amount grain-ahead1 s- e- {- v5 o3 l5 A& d7 @1 c
set heading 902 y' T; v) H. }
if (grain-ahead > best-amount)
( a2 j2 y1 T% `5 O [ set best-direction 90
( ^! y! d6 k/ M( U set best-amount grain-ahead ]
) z# f: r8 w9 j9 N5 e! K- n set heading 180) O) E5 }2 O& a' P/ g" \2 o
if (grain-ahead > best-amount)# n( p: g1 C2 d9 |7 u5 ^
[ set best-direction 180
# P, V5 t/ N$ Z$ ^0 \ set best-amount grain-ahead ]% b0 U G' U3 c/ \
set heading 270
* [! y6 W2 m3 a( Q( N if (grain-ahead > best-amount)0 ?2 P$ _- l( D' d1 f2 x8 g
[ set best-direction 270
4 W# G( Q: t! S1 `( g0 d. s set best-amount grain-ahead ]5 K3 n2 j5 G. X7 g7 M9 ^/ I% K
set heading best-direction
/ u) s) u6 R2 h! O5 Wend& e4 J5 Z0 m3 _7 Q. {0 ]
4 `( U- y% `, w$ D
$ ?& J; p1 a8 [- R; w! u
to-report grain-ahead
' q- K" r& g/ E- |, |& _: f4 A let total 0
7 {4 |. e& O; ^ _6 W5 E let how-far 1
+ D* _6 O5 z( L u; {7 h) y* b repeat vision
! s: f# ^5 R( O* ] [ set total total + [grain-here] of patch-ahead how-far6 @) c4 Q! u' e* V; h0 I% b; o
set how-far how-far + 1 ]3 C: {! d: g% l1 s
report total, I( I+ h& J" E
end
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to grow-grain
+ \) ^! V' Q- w* O if (grain-here < max-grain-here)
/ `- h; [3 K% I ~, n [ set grain-here grain-here + num-grain-grown) F7 ~) {6 p2 T
if (grain-here > max-grain-here) 9 O3 z% p, Y; p, X
[ set grain-here max-grain-here ]& {9 c& j3 g T7 N& j" T& f9 I9 r
recolor-patch ], w, f. M0 P$ n
end2 o- N Q( d9 _' P$ E# a/ H
to harvest
+ u1 C# ]7 f% E) w1 ] ask turtles
$ `# d+ g& N: ?, @ [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
6 e' a, X7 u4 i E. T4 o$ F ask turtles5 [3 D" I4 i4 M# C4 c8 B9 o) n7 L* L
[ set grain-here 0
3 L; u# k3 o4 P& T3 n f- A recolor-patch ]& L+ j4 U R1 L8 p7 ^ z3 w
# J8 ~" F$ G# N- D* O/ Wend$ r2 o/ N8 _( C: R6 Q8 c6 K8 B
) Y: ?% w( Y# a# Q6 H0 ^* \to move-eat-age-die
$ r/ m# Q: j* n fd 12 M9 B/ J, d4 n6 k/ C) B6 V1 `$ y
set wealth (wealth - metabolism)# h* H2 z J) E, ^4 j9 R
set age (age + 1)
1 ~( M5 q- N9 l if (age >= life-expectancy)* G2 h/ l3 M1 O. N3 Z9 N" X
[ set-initial-turtle-vars-age ]% Y5 n7 F6 ?+ e; E$ W. A, M
if (wealth < 0)
p! ?0 |2 @' R) Z( H [ set-initial-turtle-vars-wealth ]
. E, E6 S) A7 U+ m/ ~$ J- z, _ " x9 _5 L6 K2 ?; `4 h+ c6 D& ?
end& r- K$ y5 c% C9 ~
+ T, N. s6 h, B% d8 p- o
4 y# O7 k2 b5 Qto setup-plots
& n& y/ {$ X8 ]' d set-current-plot "Class Plot"
J7 D9 |( j& E6 X- D# ~$ M set-plot-y-range 0 num-people
$ J$ G% z4 Z3 ]% U) ] set-current-plot "Class Histogram". d a. y7 X. a, ~3 A3 J+ s4 m
set-plot-y-range 0 num-people
( A# t% ~. n. E7 c# m$ e3 ]# dend( ~) u, ?5 g$ h) O2 Q" k$ u l
2 f) ]4 f5 c- |8 H3 [; Jto update-plots
! I! r" P! p( t; n B4 }/ Y update-class-plot; V; q, M; W! J
update-class-histogram) R7 w. t( g" J5 Z+ l- J
update-lorenz-and-gini-plots) X/ z! t: ?& T; l1 o% Q; R& j
end
9 j4 Q* Q+ f& L# @! O; ?! C4 Z2 R) Y
to update-class-plot
( d! U8 m. ~" s p0 B set-current-plot "Class Plot"
. }5 D2 C# i9 E8 x$ c9 `/ j set-current-plot-pen "low"- J5 i: z p, K* L
plot count turtles with [color = red]9 G. r. f4 A! T1 m% Z! c0 g) y' T+ y
set-current-plot-pen "mid"
. R$ Y$ v5 `3 _( V plot count turtles with [color = yellow]
2 C% }4 J; G. R0 V7 Q set-current-plot-pen "up": V ~9 h/ L) h2 l% |9 z
plot count turtles with [color = green]
& r8 u1 j3 G9 f0 [/ V2 Bend2 M+ O! V: e8 h/ B: Q a8 G3 y
, o8 |, i% g m0 }' E* U
to update-class-histogram% O5 |5 S% {: }" v
set-current-plot "Class Histogram"
5 z e7 B& G/ w0 G* ?( b plot-pen-reset5 V1 Y4 z: i& F, Y9 {
set-plot-pen-color red
$ b7 t9 Z. h9 m( k( t3 i5 H& W plot count turtles with [color = red]
5 N. r0 |, I! v$ A set-plot-pen-color yellow
T" q" R& p, U1 @ plot count turtles with [color = yellow]
, _+ ~9 J, `1 k set-plot-pen-color green
6 V9 @0 c2 G9 t6 R9 n) z plot count turtles with [color = green]% E& Z: b( _, u( U
end& d& @9 j! G }! _1 @3 b1 R9 ~
to update-lorenz-and-gini-plots
4 d( |" J/ I' D- `/ E set-current-plot "Lorenz Curve"+ B; P; D# P) V6 s
clear-plot
E9 ^) E. L9 \3 J$ g9 h7 o k: G8 D+ A' c) p3 |$ p% {
set-current-plot-pen "equal"
, L& K, {0 I" C5 |' E plot 0
+ n4 @' i# a+ H: x8 K plot 100+ V$ p6 \3 M+ u6 ^+ }
4 N4 B+ {. H2 [) i9 B
set-current-plot-pen "lorenz"
- p5 e0 ^: o4 H8 P! @) G, ~, A set-plot-pen-interval 100 / num-people( s+ \. b, B$ |
plot 0% C& h3 R4 n- f# }2 b" @5 I
/ |& U% B9 m6 s let sorted-wealths sort [wealth] of turtles6 p# D8 C4 {4 Y/ \. Q, N
let total-wealth sum sorted-wealths
" s) ~' g* N$ F/ T- _7 d9 m let wealth-sum-so-far 0
' d! y, R9 q1 Y6 @ let index 0- x8 P" c) S2 C9 V4 j0 K
let gini-index-reserve 0" L" R$ F7 Q) H0 z" X& O
4 z4 N4 ~1 S# ]# {: i repeat num-people [
! ^. ^& y6 N0 {/ R2 v set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)# x4 o# M3 i, v
plot (wealth-sum-so-far / total-wealth) * 100
+ I6 p% c/ P" F1 R) Y' [ set index (index + 1)5 Q K- ], ]8 C) Q3 X
set gini-index-reserve
" k0 D, q @. t& O gini-index-reserve +% \3 f- U# X. y5 b$ U& Y
(index / num-people) -% N$ e! Z" d1 S. s2 z- H2 v. s
(wealth-sum-so-far / total-wealth); C+ [" M3 | ]' T0 A- Z2 [) N
]
+ Q$ f! p4 i( D/ ]+ }. [: I& e5 F) r" f) B6 ?$ d, A
set-current-plot "Gini-Index v. Time"
; E+ E1 c6 \; T7 Y0 W plot (gini-index-reserve / num-people) / area-of-equality-triangle, ~% O; v3 k$ ?+ L% Z3 N
end
c3 T+ s n) b/ e' L8 i/ X* bto-report area-of-equality-triangle2 G1 @! R: V5 x$ s5 Q t
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
% d# S) r1 h" A( z# R9 @. nend |