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
2 a w' h" Z" c4 V5 K' e/ P) @+ S4 Rglobals2 d: _6 K. l! w( j* t n
[) B. B. q4 Q9 E2 \& R4 t
max-grain
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]
5 W# j2 y, [ X. ?! t
4 R+ D% e$ b9 A# o, D( rpatches-own4 ^; N8 n+ j! K, X# \) N1 I: G' Y
[
I3 |( S4 S0 d# p grain-here ! [3 z) l3 d& Z! A
max-grain-here 1 S' r q! `" k0 t
]" o* T3 B- E6 J$ W0 Q1 a
* t; H# @% _+ P# P% o% `2 ~turtles-own
# M" l: p3 `7 R3 c7 |1 b[
! n z$ M, m6 o: q' L$ v& x age
# ~5 y, A/ v I0 A: H wealth
# Q! @: k) [2 h life-expectancy
/ g7 g/ r6 `3 `& c$ k metabolism # T l: g3 f8 P, Z- S, l
vision6 ]" v; N; v; Z. N6 r, m
inherited ; f7 t2 t* w2 h8 l
]- `5 J4 R+ E. g, F& V% @2 }
C5 {& I6 Q% O8 C
7 Q& V6 L( _4 |7 n9 ^to setup2 t# s4 t' {3 G+ U9 n) n
ca7 l; G5 T8 P. I- c
set max-grain 501 z# w! O! w; T
setup-patches4 j! O2 [1 O& C8 |
setup-turtles9 M/ K+ B4 {. X ^5 ^+ N
setup-plots( g- s4 Z6 P" X/ \
update-plots
2 L L% ?+ C6 V; o6 C$ w/ jend
/ k3 H6 l6 a9 G7 o! s6 n2 X# p3 h" jto setup-patches1 i! T5 o J) A2 v) R+ i
ask patches! [9 g; L5 }( S- ]/ `4 X/ ^- k* D
[ set max-grain-here 03 o4 Y' x# y) X! h6 k! b |
if (random-float 100.0) <= percent-best-land% h( v7 ]9 U9 T6 p, l2 q
[ set max-grain-here max-grain
2 [1 } Q8 [" r6 U set grain-here max-grain-here ] ]
: ?/ K+ A1 A) p. B, J' F repeat 5
% B/ k6 I6 c8 t( d: f1 Y [ ask patches with [max-grain-here != 0]* X; x: ^( P' W; l6 A
[ set grain-here max-grain-here ]
$ a D2 J& \: Q2 d- K+ ~ diffuse grain-here 0.5 ]
# {( |2 d- i; c2 ^' H repeat 10
# ~- R# b- ]% b3 P7 R [ diffuse grain-here 0.5]
, e" L( a- K) _1 C1 w ask patches9 G! G: e0 w" a3 P4 {
[ set grain-here floor grain-here
. b6 i- q8 ]( S; z9 c set max-grain-here grain-here
a( s2 _/ L s/ g8 } recolor-patch ]
8 F$ ]) |# p' j' Z Zend$ [. P, _. u. x1 {/ }6 H$ u6 g
to recolor-patch
& Q [/ t( W. J2 X set pcolor scale-color sky grain-here 0 max-grain
! z8 A3 \9 P( Vend( o. ^% f/ i2 `, _2 s# I* ], n5 p
to setup-turtles
$ T5 e; M5 @' Z set-default-shape turtles "person"# E$ }8 i( [8 V2 r" Y2 q5 S
crt num-people/ p* k! P4 f% d$ I/ ~) t
[ move-to one-of patches
' T8 T( i! L9 j, k& a; K# h1 H set size 1.5
2 w0 M2 N( C# ^) _) I( @ set-initial-turtle-vars-age+ M. N) o( \+ x
set-initial-turtle-vars-wealth9 M6 a& [' w. l. C+ n1 E9 F. s# o
set age random life-expectancy ]
; J8 `5 W. v3 F1 s* ?0 W( n1 w recolor-turtles
- F# D. o% y( h% W# |. Mend
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to set-initial-turtle-vars-age; J# b3 B/ R; W8 k
let max-wealth max [wealth] of turtles3 A( X% N2 |4 @) \7 W# L
( A5 M5 \$ [1 v+ a& I$ \
ifelse (wealth <= max-wealth / 3)
" [. _+ k4 D: K/ A. e" z [ set color red # i9 K5 y& O( ?
set age 0
) d) U8 O# Y. P face one-of neighbors4 , k( j) p- o5 n# o
set life-expectancy life-expectancy-min +
0 s- [5 d+ Y0 @3 L- q random life-expectancy-max - |. }/ L8 `3 ^
set metabolism random 1 + metabolism-low
; m" N& d5 T2 I" A set wealth metabolism + random 306 F* i' V4 {& s; ?2 a& g
set vision 1 + random max-vision
o: @+ B7 M3 t. `' u+ ~1 G set wealth wealth + Wealth-inherited-low ]) D+ m5 q3 d4 n0 u% \0 k
[ ifelse (wealth <= (max-wealth * 2 / 3)). k5 ]5 l: h, v- Q) I5 O9 l
[ set color yellow $ x2 p3 C- N, G& D0 v- K$ o
set age 0
& j# M" F0 v# G8 C4 w) \" y1 U/ g' _ face one-of neighbors4 & `1 I! c& E" X. X
set life-expectancy life-expectancy-min +
$ e7 B/ a# l* f- u4 V2 [ random life-expectancy-max + 1# r* C9 S& D: T! N4 p; x- f( Y
set metabolism 1 + random metabolism-mid
{" m+ r) Q4 \8 _( c2 k set wealth metabolism + random 30
' _, g, j5 @. M1 h- o5 t, ? set vision 3 + random max-vision. J6 ]) ?0 m; Q" e+ F
set wealth wealth + Wealth-inherited-mid]0 W. ]3 j* K) u2 i7 s7 A- ?3 l
[ set color green / [8 q, }: b" i: W. U0 _
set age 0
9 V* Z7 \ L$ ?9 L# L face one-of neighbors4
5 ` G$ _$ h, t& y set life-expectancy life-expectancy-min +
& V5 y9 i- k( Z: Z! Y random life-expectancy-max + 2! N p; v( D- k# U7 w8 E
set metabolism 2 + random metabolism-up
( p/ b2 }& i8 o* ?5 X1 z% s set wealth metabolism + random 30
8 \5 [9 N2 ^; _6 r set vision 3 + random max-vision& w# r/ J4 O. Q1 |# z0 v
set wealth wealth + Wealth-inherited-up ] ]
. a6 ]4 H% Z/ `& \ ; y$ A: j+ q$ c. D! o. k, u; U/ R
end
; y, L: C3 p' Hto set-initial-turtle-vars-wealth
. ~" |0 O5 P9 v6 D H let max-wealth max [wealth] of turtles* P6 w# i- p4 d
set age 0
( X7 Y" N+ e" ~2 k i7 } face one-of neighbors4
. d% R' E9 a$ S; N set life-expectancy life-expectancy-min +
" W$ u+ W! E$ ^' C* `, u random life-expectancy-max
! W$ M7 F5 ]) v7 {) e set metabolism 1 + random metabolism-up7 {- L6 |4 y' A
set wealth metabolism + random 30% \# {) E6 \3 O
set vision 1 + random max-vision 2 y+ Q8 E5 U6 C0 n
end
. I) D+ S1 S4 {to redistribution
4 J0 z. [, Y3 D. D$ f8 S% J% r/ @$ glet max-wealth max [wealth] of turtles
* Q6 k7 t M. O, W; L: k- z8 a9 Ylet min-wealth min [wealth] of turtles
2 v8 q- i6 P; G! ]- m) v* Jif (wealth <= max-wealth / 3)- s3 a, l8 l+ k: @7 r/ B. I
[set wealth wealth + Low-income-protection ]
$ C2 s. \" {9 ?0 ]3 m bend
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4 I. e2 l- e" ~3 \to recolor-turtles
; ` a7 m- |; T let max-wealth max [wealth] of turtles& D9 d9 G; }$ k" D4 P1 ]
ask turtles+ a( K4 V5 W0 f K
[ ifelse (wealth <= max-wealth / 3)
3 P ]3 L0 i/ t2 c5 R" Q, }# f; r: g [ set color red ]
. D/ T: v1 {$ J6 @7 u. p9 u1 F' G [ ifelse (wealth <= (max-wealth * 2 / 3))
( f1 S0 ], j3 ?7 C+ {# M [ set color yellow ]
9 m) a' w. J" f& s# k [ set color green ] ] ]
( N; w% E! W, Q; R2 t& z% a1 z ask turtles [ifelse show-wealth?1 @ M* A( K' m# r; X7 S: i
[ set label wealth ]
: G1 |" c7 F8 }. F [ set label "" ]]
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; V2 \# y/ |8 c# j0 jto go, @: [6 P& ~# @) V, d/ ?: B! Z
ask turtles
2 z1 H" i A* [3 B& I" x [ turn-towards-grain ]
" m% p' O1 U Y3 }& i3 V harvest8 o! T. ?1 F6 u2 f/ }
ask turtles! N9 x" _& X* V; R$ v* ? g
[ move-eat-age-die ]
6 z! s, U% K F recolor-turtles
$ N6 h) @% j+ |7 x+ m if ticks mod grain-growth-interval = 0% l1 ?6 v) l2 u9 ]2 M* ]) w1 f2 X
[ ask patches [ grow-grain ] ]- z' r( [# c. q$ }! }& {8 P* q- y$ t
W9 ` x- Q4 d& ^9 H
if ticks mod 11 = 0
0 u# n4 h( d; r% P+ z8 l+ C# u! @7 z [ask turtles
6 W/ b% M' R3 A5 ?6 r [ redistribution ]]" B9 [" W0 _6 j4 c
if ticks mod 5 = 02 A' V$ c* N$ U3 G
[ask turtles
/ u, @' |& y! Z: ]- Y [ visions ]]8 E' G0 L+ y/ u
tick
6 N& ?5 C# C' Q }) k$ e update-plots. b9 d0 B) T% ?) z v
end+ C$ I: v5 X) |0 z2 h; I
to visions
/ I. A% g4 Y, X4 {9 x( d set vision vision + 1 ! ]$ l3 u: x, j6 U: B! S
end
% `) a; i) H/ E8 g% Y5 E- }5 ]6 O
{+ @; A! t8 a7 V- d" E
! z1 L$ @1 t# }9 l7 H$ Y# Z* w, m+ k: \2 q+ O) ~" w5 c2 q
to turn-towards-grain 1 ]$ o' w6 m- N7 R$ y& W( x ^
set heading 0
, t& }5 ~' N7 f7 Q1 b7 b0 m let best-direction 0* ?4 }" I9 o: ^8 R6 R% I
let best-amount grain-ahead
. c. r4 f2 w& I4 e7 r) D7 W. T: w" w6 Q! v set heading 90
: P+ C' U' [+ K if (grain-ahead > best-amount)8 F" ]5 f' G. i) X* A
[ set best-direction 90$ r* L( d" y1 K" C* }2 X4 p. T" g
set best-amount grain-ahead ]9 O0 \9 s; x1 G$ a0 F# ?4 I7 E
set heading 180
2 Q4 w% z, p: |; P, q4 s/ z, T if (grain-ahead > best-amount) Q$ y. p# v' D5 L" U0 v
[ set best-direction 180$ J* Y0 Z9 t- C, v3 k* a
set best-amount grain-ahead ]
, o* t& T- o5 f* R set heading 270) @( k, @2 M1 C F% W2 f, }
if (grain-ahead > best-amount)1 d' s* ^* d5 l& \6 P
[ set best-direction 270+ c" o7 L" k% u. q
set best-amount grain-ahead ]2 J f4 [! ~) c( g
set heading best-direction
. L4 R5 D2 n2 T6 O- ?end
: u( z: w) o/ j! R- L6 \6 k G
, q) d; H' s- z; n5 \1 m- d
0 a H' Y& ]) G, p Oto-report grain-ahead & v! W M/ w, R" G+ M
let total 0
! f1 v2 g0 w+ D/ h9 h3 j let how-far 1
( {9 P: j/ e* n repeat vision
' V/ Z& `" F$ F8 V9 G [ set total total + [grain-here] of patch-ahead how-far
: b, A t3 n5 c# b5 |! Q# |% S. d5 ~ set how-far how-far + 1 ]( C1 }5 l; j1 t$ m& L- z4 R
report total
' D# K$ k( Q& R9 Z3 _end2 L! K. ~. W6 N4 v& s" u
- k/ \2 U0 q, Q* A* Y
to grow-grain Q+ v4 L& T; D
if (grain-here < max-grain-here)' w5 X; ^1 V- b# e% Y* o
[ set grain-here grain-here + num-grain-grown
: I% J! T8 y7 t% \) K! s5 x. x if (grain-here > max-grain-here)
7 h' u/ G8 F. c3 v [ set grain-here max-grain-here ]+ h; r1 Y1 M, k* _" O
recolor-patch ]3 A0 j0 m8 d# v' f
end1 A: y ]0 a# {6 y# `
to harvest1 a- W5 H4 G! p3 h2 {
ask turtles
+ d3 J* m3 h5 e, H2 H9 T( `" F [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]& m# S+ }9 [- \7 X. U2 `
ask turtles
! H, j8 g& @ G& G( r' @9 v [ set grain-here 0
. r, d* g) a4 u& _$ H( a recolor-patch ]
2 D( t- y8 A1 C7 r) j% f, s8 v
; Y" r* h# |2 w+ |2 f7 Y- }end
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to move-eat-age-die , o8 ]- O) Z; b- b* l9 D. S
fd 16 H6 o* ]5 Z% X
set wealth (wealth - metabolism)6 R9 p6 Q0 T# _+ _6 I7 ~
set age (age + 1)6 M0 i9 R5 S. ^, J V7 n7 n
if (age >= life-expectancy); W7 {" ?" m8 u7 ]* e
[ set-initial-turtle-vars-age ]
. Y1 C$ B4 P$ S1 \ if (wealth < 0)
; ^& y- P5 O; J [ set-initial-turtle-vars-wealth ]( S: h2 V9 J4 B# W2 N7 n
0 t# a- p; s+ ^. D
end
) Q6 H" a( b: J1 K: s
! M1 ^, u2 a: q9 p2 o. o
( j" s A u9 ~9 [to setup-plots
" T6 s, G. ?+ V5 z set-current-plot "Class Plot"3 _/ h1 H2 T' C2 ?1 Y
set-plot-y-range 0 num-people
/ n) ^5 i1 p+ M" v$ H6 K set-current-plot "Class Histogram"
]: Y" F% ~( K% _5 b* d! e set-plot-y-range 0 num-people4 @* L8 x; H0 J, t1 y
end( i+ p# |4 L% c# C/ d6 t$ _5 j. W
% \- h/ v, c$ a, ?to update-plots) F& f; O9 F+ f
update-class-plot6 R& i7 I0 _" u4 |5 O6 r
update-class-histogram
1 ~0 F& G- e& l) n, v update-lorenz-and-gini-plots" X: ~9 _2 V7 m& I- j7 ?' \
end
) ~# a. C' K4 M s8 D8 F3 U* z/ u. S0 k8 I! H4 F/ f1 [
to update-class-plot: o' `- r( G" [% _' E1 ^% g
set-current-plot "Class Plot"- C: M2 i6 c4 J) D
set-current-plot-pen "low"
7 F4 {( ?: n2 j; l3 |- h+ R: M9 S# z plot count turtles with [color = red]2 {7 M. h4 d; V; e9 T/ Z
set-current-plot-pen "mid"
5 o3 j- ^! m1 ]6 d4 V plot count turtles with [color = yellow]5 d) `( {2 f# M6 x, I/ c. w3 d
set-current-plot-pen "up"
9 Z# c l) A& h3 O# S/ } plot count turtles with [color = green]
9 \. [& G) }" W* S$ a! T2 Aend- o3 h% ?5 N5 r: ^0 y
. y& H# [2 y; |
to update-class-histogram
+ Z1 C |, P$ a% G/ \ set-current-plot "Class Histogram"
: A- v _' o* Q& W& n, `$ Y/ N plot-pen-reset& v& |# c1 q6 C: T; ~. K
set-plot-pen-color red
9 U# [ Y& C$ t i) j( k: \ plot count turtles with [color = red]) ~/ m; A3 L6 E% }; N& O- v
set-plot-pen-color yellow
% I9 D. o" o1 Z4 `; G- P4 n2 E, m7 e# o plot count turtles with [color = yellow]" u0 ?# j5 |. {- a6 \& Z. _/ m
set-plot-pen-color green8 V8 M" X9 r9 {- [3 Q
plot count turtles with [color = green]( C* S% g4 t! q
end. r) e5 U0 c7 h1 x4 V; ~
to update-lorenz-and-gini-plots9 O& L* E* I/ ~' v% }
set-current-plot "Lorenz Curve"
9 n( E5 H. p. w4 f clear-plot: i. P/ ^ m- `6 }& ?
: d; l6 w5 @# r6 w; N* J set-current-plot-pen "equal"# w6 _ W* a8 W: Z8 e$ I8 b& q
plot 02 X/ k5 V! z0 z
plot 1007 q9 W! X+ z! k- v
, a C2 n; q- Q# z0 }9 j5 j9 R set-current-plot-pen "lorenz"
0 N( ?' c7 i3 E, }8 E# c set-plot-pen-interval 100 / num-people
$ I- b- x6 q/ l. Y4 h& ^: e plot 0% ?4 Z/ x6 Q& C$ a' b: Z, b3 \
! r8 X$ |+ f& a$ Y* ?4 _
let sorted-wealths sort [wealth] of turtles
# w9 h9 I6 V! h( N$ t let total-wealth sum sorted-wealths, V# `$ w' C5 \. `( |, J# D5 k
let wealth-sum-so-far 0
' ~2 Y+ ]0 v# \& ?! r let index 0
: R3 _7 O: |1 q/ B' I let gini-index-reserve 0! z6 q4 x8 h4 r7 e* |3 |& ?
( S4 Q( A( O+ M; d5 f) J4 |
repeat num-people [8 \& j$ F5 z' G+ I" o
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)- T, V! }1 R0 p& H7 p
plot (wealth-sum-so-far / total-wealth) * 100
f+ U4 `. E1 c. w: v/ N+ ]2 b set index (index + 1)5 D/ t4 n4 o3 e" U! y
set gini-index-reserve
% j1 ^6 {+ k6 A" q$ n0 U; M" _. P3 t gini-index-reserve +
7 M" T. g& V! m7 [2 E- p+ m6 ] (index / num-people) -1 }9 x# W- Y, A+ I6 ?
(wealth-sum-so-far / total-wealth)
* D4 u% X, N0 [9 U' E Y6 L) g4 m ]; G$ Y4 `0 I% w' G
4 C L" G" J3 u2 T) D/ W2 V% h
set-current-plot "Gini-Index v. Time"
D& W) `! r$ w5 J5 _ plot (gini-index-reserve / num-people) / area-of-equality-triangle) N# N9 B& ^% c# p# P
end% k2 ]' a2 B% M6 z& _3 T
to-report area-of-equality-triangle
0 x! o) p/ D# V- u: i! m report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
/ s% h, s- t& t9 w2 q4 F- S; _end |