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( d* }# r0 W: X' O2 l0 [2 E
globals
, \+ W9 Z' g2 r6 A+ J6 p7 g, f[
6 b: a. I9 L V5 X6 C+ X max-grain 5 ]/ \# `) ]# m0 g
/ a( u% M7 e& u* Q2 S
]6 Q3 Y9 c I2 P
) T4 A' A3 y: q: @
patches-own5 ]; h7 s$ r- N! r; L, e
[% V, g0 Y+ c$ O" Y0 I1 K
grain-here
' e2 d9 K9 M& U: T' O# ? max-grain-here
. n. w1 H7 U* \) q& t]
$ |1 D& l2 A$ a. C, u4 r6 H* T- F& u, k5 Y7 N
turtles-own
3 [9 b1 o# q y6 y; v[
" J @# @) K4 y6 }0 C$ v) j4 W/ ~ age
& J; b. N' u5 _* i; t wealth
7 E1 s- q# G9 N, N+ f$ D* S0 ?! o life-expectancy
% p6 S: j+ S* V; S metabolism + Z- V; u O, s8 }) s
vision# c9 h; R( o' c' z4 R" r) g0 T5 [
inherited % c+ d! S8 }: I3 |4 n2 j$ r, u
], d/ P/ y+ _9 z- L9 w
3 j8 B" N& c, R: s
8 H2 J6 e8 l% t7 E7 E2 u! Uto setup
; a7 E% z6 W% n$ i ca
# k: u& {3 I$ ^5 r3 Z set max-grain 50
3 N0 v- [! t3 j# p7 e& U setup-patches
$ D+ h3 K. ?+ ?, b B6 P" e setup-turtles" h/ f. n3 F' X& b& y# j
setup-plots
+ P @& \7 ~; n0 M3 E update-plots
+ }, g& F# T/ N5 f: |3 s" vend: F2 g; t) I1 A6 a h
to setup-patches( d' i1 p9 t5 @) P" O8 C5 @! P+ w, n
ask patches
9 w. G$ k/ _* g' W; {6 o [ set max-grain-here 0
* c `0 [0 M$ _- \+ x& r if (random-float 100.0) <= percent-best-land9 b! U, R6 \! O; f6 C- E2 M* I9 @
[ set max-grain-here max-grain5 A, B" d8 H) ]7 b8 i+ x! K
set grain-here max-grain-here ] ]3 W6 b, n; V! W, v0 N: g
repeat 5$ @. y" Z7 g& f+ }& V
[ ask patches with [max-grain-here != 0]
" F% K4 g( O! |2 f* ^6 I+ y! D [ set grain-here max-grain-here ]5 i! d/ A0 J- t7 b! p
diffuse grain-here 0.5 ]
) k0 q( U% X- F: t+ w8 } repeat 106 ~8 y. v' z/ t% H
[ diffuse grain-here 0.5]
0 n+ D, Y+ c# l( y' } ask patches
$ k$ Z3 v; C) f [ set grain-here floor grain-here
+ T* n' l3 g+ x1 s set max-grain-here grain-here ! \/ ^2 h0 _9 {( `
recolor-patch ]
+ u+ e6 C. z: G' i! ~7 i: oend
( k! _, d1 M" r7 F" _: C. L! ^to recolor-patch
8 ?6 `$ J Z6 x% y0 `' f* x set pcolor scale-color sky grain-here 0 max-grain0 V% b4 t; r8 }; E, q0 t5 V
end
0 X4 l6 j4 J$ t/ y8 ^/ s' J/ d nto setup-turtles
" c# m0 R7 A! N4 n1 X7 ?* A set-default-shape turtles "person"( J% ~4 P4 J+ g" G2 a4 q
crt num-people4 B) Q2 \* X9 Z) ]7 l
[ move-to one-of patches 5 X) R, q: ? X+ b' s, P
set size 1.5
( z% G4 b/ i* V. k6 c0 M" X set-initial-turtle-vars-age9 Z9 K% e I$ e) l B5 |& s- j
set-initial-turtle-vars-wealth
# J6 g0 s* F9 [$ j6 W7 G" g set age random life-expectancy ]
. Z6 B! i3 p0 k3 `" j6 Q recolor-turtles
* j- T; J' Q; o7 [$ t7 wend
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to set-initial-turtle-vars-age
4 n; d D0 z# W# u$ G let max-wealth max [wealth] of turtles
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- w0 k3 O: R& _ ifelse (wealth <= max-wealth / 3)4 b% s: J! V* ?) S' V. g0 e$ d
[ set color red ; b% Z& {& B) q/ t: u
set age 0# P0 C6 G" q3 z. V
face one-of neighbors4
5 L/ R& J0 S' c. d, ^+ f set life-expectancy life-expectancy-min +; a+ w' {" M* d" q7 E/ f$ B
random life-expectancy-max
# C$ R; k* S- k8 f- X% x set metabolism random 1 + metabolism-low
! V9 T( k: d D- X set wealth metabolism + random 30( A& H* U m, O8 }( \
set vision 1 + random max-vision
# V2 M4 l. q. X: |0 G set wealth wealth + Wealth-inherited-low ]0 J% h8 }$ P& P! @& e
[ ifelse (wealth <= (max-wealth * 2 / 3))
% P, w4 a7 {- D% _7 J7 ? [ set color yellow
( F1 Y* H( d( ^" ~: t/ J9 U set age 0, b7 h$ O7 U% k$ ^8 Y6 y; d
face one-of neighbors4 - ~2 S* ^ k! z' c N, a2 l
set life-expectancy life-expectancy-min +
7 I$ F3 z* Q# k( ]# c: O random life-expectancy-max + 1& U; e0 i! l+ c7 r* y
set metabolism 1 + random metabolism-mid
1 H2 z9 t% ~8 } set wealth metabolism + random 30
% F. M+ M# ~7 g* o' } set vision 3 + random max-vision1 S: R6 l% |) z4 _# Q3 ^& |
set wealth wealth + Wealth-inherited-mid]+ q- i& b L9 [9 F
[ set color green # K. p& Z9 X- |8 W# _' O
set age 0, U# c$ E% `4 _# e
face one-of neighbors4 * y6 _/ y/ v% D; \% u0 R; _ L
set life-expectancy life-expectancy-min +9 I+ j- C3 O7 B9 D, B
random life-expectancy-max + 2- f- T; v+ o0 X( Y5 A Z' t
set metabolism 2 + random metabolism-up
! Z0 g3 W$ X* _ F; V/ w% ^ set wealth metabolism + random 303 ~/ W! b/ `- p4 }
set vision 3 + random max-vision2 Q( q1 Y4 v- o
set wealth wealth + Wealth-inherited-up ] ]
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+ c9 P9 Y) R% V) t/ N/ ~* C5 Iend& y& }3 F2 w) c. M6 j5 {1 h: w7 s) x
to set-initial-turtle-vars-wealth, t5 j# T7 e7 `4 r
let max-wealth max [wealth] of turtles
8 e4 @) ?% T- ^' p. l set age 0
, w, n$ w, u3 G5 n face one-of neighbors4
8 n: W2 u- k; P7 [% a set life-expectancy life-expectancy-min ++ l' d# D+ X& i
random life-expectancy-max
S: }7 {/ O+ `& M* P" _) m set metabolism 1 + random metabolism-up
( g; T; W) e9 f4 ~) S/ H E+ ` set wealth metabolism + random 30
" d- i& v2 L' N3 X6 G set vision 1 + random max-vision
6 P- ]' x0 x& n4 m. E, ^end9 Z; K7 f% V* |1 T, i, {
to redistribution
; ]+ H7 U0 T8 g- E( P; |let max-wealth max [wealth] of turtles
; g/ J( \2 r, }4 X+ g* ^5 Blet min-wealth min [wealth] of turtles4 K/ K' X, Z2 Z2 u, {2 _1 b9 y D( p
if (wealth <= max-wealth / 3)
: M! w6 x/ R9 O v [set wealth wealth + Low-income-protection ]& D/ r; ~9 d3 s7 W& q' T# D
end
; k q& ]% n7 F" u
3 G* {- F- ^* F7 Y7 u. Dto recolor-turtles9 z0 U7 l. K5 D4 w0 ~2 Q
let max-wealth max [wealth] of turtles
$ C5 [4 W6 i5 o4 ?8 i4 V+ O ask turtles
* m6 O/ X6 Z, z [ ifelse (wealth <= max-wealth / 3)
9 r/ ~- A2 z: D5 u T. T [ set color red ]
" l8 g* m! ~# ]0 _ [ ifelse (wealth <= (max-wealth * 2 / 3))
! g' Q7 y6 Y: `) G* ?. X2 U8 X; z [ set color yellow ]
6 g: s; {. J* s' t5 S( G- ~ [ set color green ] ] ]
8 b* o5 O% a5 Y ask turtles [ifelse show-wealth?
' @: H% R; O% z8 N3 x/ F' } [ set label wealth ]+ Z. Y: o! v* g
[ set label "" ]]
8 i z. B9 J( ^8 gend% Q* D$ { O# P$ [. ]9 B
7 U2 t6 P! f# T- n
to go
7 f/ ^8 z+ D% S& v ask turtles" T8 W/ ^% L' j( a
[ turn-towards-grain ]
0 m# h* [' F2 P8 Z# M ^' X1 T' j harvest
, k, Z) G& S3 ~0 y ask turtles. U% x& X6 R+ W$ H5 t
[ move-eat-age-die ]5 J' }$ A0 e5 o- f# k/ ~; C2 J
recolor-turtles+ V9 M \: G2 F7 m. [) }/ n
if ticks mod grain-growth-interval = 00 P1 Y' J" I' R
[ ask patches [ grow-grain ] ]- e. y* u, V7 t: G2 i, ~
( {# [1 ~4 _; ^& e3 ]
if ticks mod 11 = 0( X; t" R$ ]; s; f6 r4 r g( I
[ask turtles. V8 A2 q8 z+ K2 ]* c2 z
[ redistribution ]]- p$ t F6 E f. P0 C; F
if ticks mod 5 = 0& j8 o5 @" r0 y: m' A
[ask turtles
# t- X9 A0 n/ K* T6 g7 J [ visions ]]! V$ r+ j. {$ P# ~
tick: ~# N" O- E% Q; _, r; `
update-plots5 J" p2 T* l; N- i
end
% p& v: n& k4 ~8 \9 yto visions2 i; |! B% F, E H1 L, F
set vision vision + 1
* ? Q8 o+ C+ K. Bend
) p2 {7 \# {2 O+ N! ?: m
1 ^4 _2 C! w( E
! p( n4 W" B8 ^& t: B1 ^
% W; O- B7 P/ T: H6 Z) S1 V9 i9 Dto turn-towards-grain 7 [" k, l1 S8 p, ~2 \, ^, F0 K. v& W
set heading 0
0 x9 T! C# u( s: x8 X B9 h let best-direction 05 T( d6 s- u& ~4 p$ L5 Q( V7 }
let best-amount grain-ahead4 `# ?: U/ \( G' H2 D% P3 j9 |# P
set heading 907 }) f& I2 K9 ^, C
if (grain-ahead > best-amount)0 R2 f8 B7 X; b! D3 P- \' R
[ set best-direction 90% x* j6 N+ G& r% Q& a5 F- p
set best-amount grain-ahead ]
/ c0 T2 n+ L9 f$ ~$ r set heading 180- y- s# {+ {1 y V) V" [
if (grain-ahead > best-amount)
/ ]) X9 a! a9 w [ set best-direction 180
1 i; s; m; y1 d set best-amount grain-ahead ]) G% C* c" v, \$ |
set heading 270' J! D6 J. Y; r: m0 H& Q& y+ W% y$ I
if (grain-ahead > best-amount)
# N/ k- [( ?1 M; v6 L* I [ set best-direction 270
2 X* |; u8 \7 g$ g, N+ a. A' ` set best-amount grain-ahead ]$ K: ~4 k; ^6 o: ?
set heading best-direction
7 e7 A6 e W! Mend1 r+ ^+ l3 m2 H/ r4 [3 Z/ `
# e: m! W+ g2 X! ^! F9 f
6 F. F( N _" J8 |7 ~5 Lto-report grain-ahead ! C; u |' b8 t: m% u% v
let total 0
# e+ Z! S6 `" F* X) i% C/ T let how-far 10 n. P' h F7 j0 e! n
repeat vision/ C! g1 }) a) n0 E3 v5 f
[ set total total + [grain-here] of patch-ahead how-far5 I' }7 m% F' v! ?9 n
set how-far how-far + 1 ]* l7 H) M/ X# D8 P! S V" q" y
report total+ _, e3 Z+ Y; b7 l; C% P' g: e. i
end
0 |: h/ |8 {2 c3 z
. ]7 U p m# `to grow-grain
5 n* @, k3 A% p) Q" J3 l5 g% n% T if (grain-here < max-grain-here)
1 l0 Y6 K9 Y$ {$ \ [ set grain-here grain-here + num-grain-grown
1 ^' ~5 d3 {2 @: l2 n; ~* w& B if (grain-here > max-grain-here) 0 H! D M/ `: {0 s3 W
[ set grain-here max-grain-here ]# E- t7 N3 ?- l3 v) S7 j l
recolor-patch ], ?4 V- ]% M7 |0 A
end; m& Y7 y0 z% ^) o/ o
to harvest
1 K5 l0 k3 Z% x( |- y+ r$ ? ask turtles
4 ?" V6 p+ G& O2 [ [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
% I; k! T. k5 b% e8 B ask turtles: _$ X: X* M" L1 U% j! y2 D
[ set grain-here 0
+ s( ?( w6 D7 k recolor-patch ]: j5 W/ t8 z" ] x, k8 M
3 t2 B$ j; _/ c+ ?, S/ [
end! d1 w+ `5 u, r& {% t0 ?
9 L2 S6 Q4 l& A8 ]2 G
to move-eat-age-die
( c) N+ F, s/ @: E* f$ q) L1 z fd 1
6 u1 Q1 Y2 X) d( R set wealth (wealth - metabolism)- q, C6 @" N+ H& J8 _2 O" j
set age (age + 1)
4 }; E/ x6 m; l9 N. u8 B! t: ?/ L if (age >= life-expectancy)
0 A. l% K e1 G. t+ U% V9 Q [ set-initial-turtle-vars-age ]
. J( i/ d; C$ d. B if (wealth < 0) k5 X" T* W5 y# a- J
[ set-initial-turtle-vars-wealth ]2 {2 N0 m: E( g6 u, Z8 G
0 V" n O8 J% K
end
! T, E$ e- a) O
3 J' \# h* _4 {0 u; o$ f# L) k# Q
to setup-plots
; B' k0 v7 Z" Q4 X+ n X set-current-plot "Class Plot"
# w: c& q) ]. ~6 M1 D5 c set-plot-y-range 0 num-people
7 B8 [5 \! a# X set-current-plot "Class Histogram", \3 U+ I3 d+ ?: L0 ^( C% |1 h
set-plot-y-range 0 num-people
: b; L4 G/ H- m! T( ~; s9 oend+ `) P3 E! g3 {
5 _# X( M$ [0 O
to update-plots
, h2 a' C& |/ W( R6 a0 R/ T update-class-plot* S. t4 r; m7 B/ B) F
update-class-histogram
8 O7 a, k3 r* s2 Q( }1 v9 [7 n% D' s update-lorenz-and-gini-plots# j: Z2 z1 j: D2 u; q
end# U# W: S% k: P+ h+ O1 X, E
% @, K1 s0 o. v% ]* c$ [
to update-class-plot
% f8 X8 [, F* w5 \, l; A. T set-current-plot "Class Plot"
- [9 Y5 n3 J2 A1 M2 K( a set-current-plot-pen "low"+ u8 W* ?$ ~, I+ @) z! m& o
plot count turtles with [color = red]% N, v7 H. O1 d, r( h# _1 x1 E# x
set-current-plot-pen "mid"* W/ r* t7 H0 x
plot count turtles with [color = yellow]+ C1 p. j y, Y2 {5 R6 X9 |
set-current-plot-pen "up"1 t, q1 b' K8 f0 n& V0 [6 s4 A
plot count turtles with [color = green]# G; X: Y1 m. D) s
end" p' }- o$ G3 E
) K5 W' X+ W! A o. Oto update-class-histogram! T# L8 K5 G' n9 |' D- ~
set-current-plot "Class Histogram"
: U% f- R3 B: H plot-pen-reset. N4 X$ u+ z$ P! q' B( |6 w( y
set-plot-pen-color red
/ H# O; m9 @$ T; o* o plot count turtles with [color = red]% ~1 f4 Q! m# e1 b9 s* t7 B
set-plot-pen-color yellow0 V2 q* f3 M' F r8 r4 V$ x
plot count turtles with [color = yellow]) d' b. ?$ `5 X2 a
set-plot-pen-color green" C0 I$ @$ r2 }
plot count turtles with [color = green], \4 g8 n+ Q. L1 w# ^) G! \
end
! Q" f" c6 l7 K) e% h" t( Dto update-lorenz-and-gini-plots
; E" b- ]4 P. _1 }- Y set-current-plot "Lorenz Curve"
" P. d) n' A2 n) ~ clear-plot* ]2 Z" R% s+ X. d
+ v% R" O" @5 I
set-current-plot-pen "equal"
- S4 j2 J% B6 ]9 t0 F3 q7 x8 H plot 0
: Y3 ]# Y: z+ \0 p plot 100
& P3 }+ V- s" `% ^( x/ H( K7 s# l& B
set-current-plot-pen "lorenz"
" l! {0 J0 @% J, l8 e8 f set-plot-pen-interval 100 / num-people
1 k) s# C( U4 k" r3 A plot 08 ~$ z4 }' N1 r% }" G
* L J0 P1 N- f- L let sorted-wealths sort [wealth] of turtles
3 p5 y& }0 z t; p# ^ let total-wealth sum sorted-wealths5 b: V( m/ |0 ~' Z) y, D
let wealth-sum-so-far 0
: |, O# I( T* W' W& u5 n let index 0& ~) u" `3 b/ y& B" t7 @' ^: h1 m
let gini-index-reserve 0
, l: |, F O3 t, @0 u0 Y* k7 M/ C: ?' } P$ G; J2 n# n1 H: a& I& g6 \8 N
repeat num-people [
" e; \" g6 o6 m0 ~. n set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)/ E# A3 ^9 m- V
plot (wealth-sum-so-far / total-wealth) * 100! R/ _* B8 X4 G# a' J G
set index (index + 1)8 H* o: t2 f2 P6 ?# F
set gini-index-reserve% d! N! w# {4 B+ R5 H% A
gini-index-reserve +1 I' F) J2 P# Z7 N8 H1 ]' n
(index / num-people) -/ Q8 r8 ]2 d/ U
(wealth-sum-so-far / total-wealth)5 o" U7 |( {2 A- X6 g
]. c5 e/ M& H. \$ k* Y3 j
5 ?6 g8 f4 B9 j1 a8 a! Z set-current-plot "Gini-Index v. Time"9 y2 z$ L. a5 ]( P. e" X- B' Q9 B2 b
plot (gini-index-reserve / num-people) / area-of-equality-triangle
. y8 z( n3 f/ V) Z1 gend& ?4 N0 d4 h$ L n
to-report area-of-equality-triangle
3 b: ~4 ^: y5 G( S report (num-people * (num-people - 1) / 2) / (num-people ^ 2)* g! R+ r. O# ?& N2 b* C1 A5 g
end |