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0 i+ ~8 F1 q+ d5 U
globals
$ c/ ^7 `5 A1 K7 t. w K[
; Y4 D: t3 u5 r. g: I max-grain 2 s6 e- k+ y* \8 \! l
" Z; i" @) {7 m. Q7 t: ^0 l
]
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3 s3 R/ J: m2 A5 k0 S) x$ ?patches-own4 V4 Y( }5 _# z
[. ]. M) j, }1 f. }" ~7 T
grain-here * t/ `% o% H& t3 L9 r/ a% u
max-grain-here r. `9 z8 b: F4 q
]% R M- c& l2 V! p) v$ f5 x9 G7 d
9 h0 x: p3 O" u) X, Aturtles-own
$ B9 W5 U& F, U! D0 y# u2 g[
+ t$ K- g1 p5 y' b% F age 5 H z+ f' [. U( l
wealth
3 `4 B/ H7 H% s6 E% c0 `* m0 w life-expectancy
) z. N3 B: s0 Y. D9 `: i8 {2 ^ metabolism $ ?( W" s- @8 y3 x! |- o) G
vision& s; K. g1 x- X# M3 @* I+ H/ @: ~( Z; J* B
inherited : d- T+ Y6 F( n
]/ m% O2 Y/ F6 f
. p8 c& m% {) `6 J4 m) f N2 X! p8 o: u" P" h; _5 K
to setup8 q3 A" y3 s- w1 c& ~
ca( z7 b% {) e% l
set max-grain 50
% U: Y7 ?3 D/ I setup-patches3 s p0 I3 r6 Z) p; n, x
setup-turtles: @1 j8 t. q$ w9 }0 E8 \# _: B
setup-plots
7 H% h* K {# n* J, [. b update-plots
) \% u% k6 {6 |end" i j6 R; f& x$ a" a7 O
to setup-patches
- ?% A: c$ u) f1 B+ l! U ask patches
- }- O5 G6 e; o4 n g4 F [ set max-grain-here 0
1 O# y, O! \" x0 i if (random-float 100.0) <= percent-best-land
' T5 N# z Z8 x: t+ B [ set max-grain-here max-grain
8 M+ ]5 G5 |% w; u0 A' {! f set grain-here max-grain-here ] ]
2 |3 d6 I' U9 C2 S$ m5 n7 y repeat 5# O" |, Z/ X! U
[ ask patches with [max-grain-here != 0]4 y3 J8 {' J4 V+ {) w; S% N+ ]
[ set grain-here max-grain-here ]
6 m3 r, X; K1 ]% i% M6 Z diffuse grain-here 0.5 ]6 W$ W+ T% i- W
repeat 10. c+ G. J2 N$ G) c0 a' x
[ diffuse grain-here 0.5] 8 u8 ?& F, V6 Y2 y% g7 }' j- k
ask patches; ~0 I0 G Y& _) b0 {
[ set grain-here floor grain-here
! F7 w0 o7 u+ T2 g9 V set max-grain-here grain-here 0 ~" F% _1 a* z& `, o
recolor-patch ]
- X1 a1 e4 e( W: i( Wend2 V A. H8 P. J/ f8 ~0 f3 P5 U) T
to recolor-patch , a. B7 N; h# d1 ^4 m
set pcolor scale-color sky grain-here 0 max-grain+ Y5 ?1 o' B$ {; X( I5 y
end! ^# \- x: h: {/ a
to setup-turtles
6 `/ b6 H+ i& _( v+ Z6 b# o set-default-shape turtles "person"
# B3 y: M/ M2 W. E crt num-people% c- G- g$ i# u) v
[ move-to one-of patches ) n# D# E0 i" O& ~# g5 f
set size 1.5 6 e) \% H; J& e$ |$ o- Y4 G
set-initial-turtle-vars-age. ?# @& A8 M/ ^ s
set-initial-turtle-vars-wealth) y2 ]- l `3 `. H5 e) X
set age random life-expectancy ]( v2 [( v$ e. j% K
recolor-turtles6 t2 d9 t: h5 ?* @- Q3 f
end0 R+ C8 O6 X* h' q; Z% C
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to set-initial-turtle-vars-age
9 G; l+ P; Y. K* i' {# v let max-wealth max [wealth] of turtles8 \: v& m8 f- E( g& R
0 g/ }0 m9 C: T! W" X, z9 Z8 `# S' m ifelse (wealth <= max-wealth / 3)
* k9 G; A2 w+ y [ set color red
) u; H- n* C. h set age 0
9 x( v$ e) b3 l! z! R- J/ n face one-of neighbors4
2 D" ?2 f4 d/ l1 S5 Z set life-expectancy life-expectancy-min +
: ?8 t* C2 q/ C( L% k random life-expectancy-max & o+ p5 ?* O5 y5 G' r0 c, L
set metabolism random 1 + metabolism-low q! h% w% j) ]. j5 w( Z8 B' p. ~
set wealth metabolism + random 30
9 p0 d% B5 @! \6 B* w& ~8 p' ] set vision 1 + random max-vision/ t3 B3 w y5 ]+ w9 [/ V% c
set wealth wealth + Wealth-inherited-low ]
1 y1 K5 z* B" _* X8 `- `- G [ ifelse (wealth <= (max-wealth * 2 / 3))+ G, a. U0 s& |2 a( I" \
[ set color yellow
5 c! G e( O/ r! @& ?) t set age 0
3 t- {! x. v2 R8 y% B. I8 @: R face one-of neighbors4
2 u/ ]& m) s& q2 u% ]5 ~8 T Z set life-expectancy life-expectancy-min +3 g1 J8 ]' @3 Z1 M$ x8 ?, a
random life-expectancy-max + 1- M! I3 |! i7 N u- d' s. b& ^
set metabolism 1 + random metabolism-mid
P7 y5 k1 n3 G% I( x set wealth metabolism + random 30
" b& c+ S5 L9 m9 \5 [ set vision 3 + random max-vision
! N+ O) ^. x$ K; ~7 ]8 ^+ u set wealth wealth + Wealth-inherited-mid]* x3 l& i* |5 ~1 O9 M. {
[ set color green
: K( K3 V$ \! x5 F% M- Y( _ set age 0+ @8 P2 ]0 y/ m0 ~/ C& T- b. }9 o
face one-of neighbors4
! l( g) H% K7 T set life-expectancy life-expectancy-min +. F" H1 E; W N+ I2 x
random life-expectancy-max + 2
# l: i! q. K5 V6 [* Y& d/ X set metabolism 2 + random metabolism-up6 x4 n: Z! K! \" A& d6 B. q
set wealth metabolism + random 30" x c$ n3 B9 Z ~% @) f
set vision 3 + random max-vision5 W! e' d. N( X, d
set wealth wealth + Wealth-inherited-up ] ]
: X& _) J7 m' F \# d) V
; y$ i7 Y- t2 ^) d5 f m) Hend
" W+ [* \) t4 ato set-initial-turtle-vars-wealth
/ }0 R, D* |( @4 H P1 H let max-wealth max [wealth] of turtles
6 \' l! N) ]' y# C; d set age 0% m( X) P* X4 ~6 \1 L
face one-of neighbors4 " w6 R" z! z8 y0 w8 f
set life-expectancy life-expectancy-min +7 x: [! [" S# ^
random life-expectancy-max
) \1 ~4 P0 V S$ c) D set metabolism 1 + random metabolism-up
; L9 i1 W! p6 E% D) z set wealth metabolism + random 30
" n0 A; Z, `" F set vision 1 + random max-vision
8 M, T$ [' w6 r: j& xend+ Z* \7 k6 v5 k
to redistribution
. X* G: S/ n# d( q9 H- Clet max-wealth max [wealth] of turtles
, u7 U/ z- X# t- `) a6 t/ W# Dlet min-wealth min [wealth] of turtles2 p- T" C' S/ n( x9 x( s3 f: ~
if (wealth <= max-wealth / 3)
! p5 y7 Y8 `+ v' i3 v" ` [set wealth wealth + Low-income-protection ]
- Q5 ]9 F% w9 nend: e6 z( r7 i. k1 b0 p0 ~- t
5 d6 v' Q6 K' ?- J( {, uto recolor-turtles
, e+ }" k, R2 S6 L @6 N let max-wealth max [wealth] of turtles
& E' n& ~* A# { z: p ask turtles
& |& E3 }( W- G. Y' ] [ ifelse (wealth <= max-wealth / 3)
5 C. U# I. a) x' j# J& F [ set color red ]2 ?0 k4 @. I' q( q
[ ifelse (wealth <= (max-wealth * 2 / 3))
% W* B% h& I: x; E [; E; A) K [ set color yellow ]
% l7 \' N, N8 ^2 ^6 {8 x' s [ set color green ] ] ]' U2 m' n3 v5 O
ask turtles [ifelse show-wealth?
/ |( h! A) O: } [ set label wealth ]
# s' H! v% n" F0 m4 o* H2 ~! X/ P p [ set label "" ]]
* x; q. Y5 \% d5 D" ~0 aend& m3 W* f, B$ h j& G4 V' E3 n$ v
* h( n% o3 ?/ ]to go
6 o$ ]$ A y: ?' K" p: m8 C ask turtles
V, x# ^- S4 t( S1 H6 M+ ]. u W [ turn-towards-grain ] ! y5 z b/ n8 _% j
harvest, I% ~8 H1 @3 ?3 Z9 ~
ask turtles, ?9 A+ R3 V" ?
[ move-eat-age-die ], e4 |! y# `% O8 q, E6 D1 {: B+ h+ I
recolor-turtles1 ~0 `( {6 U) ?/ M0 \- O6 z: P
if ticks mod grain-growth-interval = 0
+ j" @) w! M L: M8 m6 r [ ask patches [ grow-grain ] ]
* f: D; q) D9 E& {3 E
$ ^$ j c( q5 ^7 Q% @ if ticks mod 11 = 0
. {: q# l! Z" z! N g1 `, W [ask turtles
+ u& l0 C8 x" z* K [ redistribution ]]0 V& n4 @3 n! S4 p: N
if ticks mod 5 = 0
' Z$ J5 d# C+ k' F- y7 O [ask turtles
. W& b, g% V0 W9 f9 C2 v$ E [ visions ]]
7 }8 b$ o' C# m1 f' m tick& Z, k2 ]. l$ E/ V- n
update-plots
& r$ P' |# I. C4 z9 ~end
- R; u; _+ a U5 x/ yto visions+ ]0 `! C( w9 _% ~6 S
set vision vision + 1
v& f5 X! `$ A* l$ q( g7 @- Y) Mend
2 B+ \( L2 p% p8 b9 q0 X* q2 u9 l' h7 W. `& B4 d
" H: | B- @& X1 q2 W
& L3 d# ~" |5 v: C1 r
to turn-towards-grain
- W. I, u9 k/ P6 T$ { set heading 0
2 L5 W3 }$ u) p' q7 h4 a let best-direction 0
W/ i+ o. w6 z, Q; a let best-amount grain-ahead2 ?: ~9 ~3 e* s9 C
set heading 90% K' P4 j3 C% J9 ]3 T: H3 ]
if (grain-ahead > best-amount)
4 b, }5 v% g0 B0 ]3 ] [ set best-direction 90/ f, f: ?) J" M8 n. _5 m+ h2 \ _
set best-amount grain-ahead ]
6 A3 `7 p0 o( y! P# `1 `9 R8 ]+ ? set heading 1800 }1 Y5 C8 a/ R
if (grain-ahead > best-amount)
" S: w7 H7 W! X) B! p# I [ set best-direction 180
2 `0 W: z, E. F* x/ |# j; a set best-amount grain-ahead ]
9 ]: g" j# Z) m5 }( R! c set heading 2700 X1 b* t9 r, z4 j/ [7 W* ?, W- J
if (grain-ahead > best-amount)
8 ^- T* `! o4 |6 Q [ set best-direction 2704 P0 F4 F% _# G
set best-amount grain-ahead ]+ x+ R+ h/ z, l
set heading best-direction- Q! g" H: d' p2 n3 @' q4 ~' i
end* N& y' \. Q' q- b) H
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' ? {* g* V- v4 O& E: O& d8 E
to-report grain-ahead
5 V( K1 ^% V4 t1 z3 y0 r) `5 Q( L, m0 x let total 0+ M' k. u# ]% O& u6 `7 W" r
let how-far 1
6 N$ ~6 G& K( k( E repeat vision
" `( ~1 y6 \# {5 M3 y [ set total total + [grain-here] of patch-ahead how-far
8 C2 L: Z$ _* {2 ^* m7 r3 B$ r set how-far how-far + 1 ]
* v0 o8 }' Z4 B/ D/ x9 ` report total2 H+ m- R0 l3 K
end7 ^/ l M( `; }; a! O3 L. c
3 }# \0 E G2 K
to grow-grain * X' p- ]0 k* K U6 R5 q0 |. t+ C5 ~
if (grain-here < max-grain-here)
" |% _$ n( V" I: } [ set grain-here grain-here + num-grain-grown6 H' z! w) D! l1 Q+ N7 R# _( o3 E- p
if (grain-here > max-grain-here)
- p6 }# i1 U/ ?; G/ U3 D# U [ set grain-here max-grain-here ]1 d6 X0 P' q" c- U- `2 Y; U
recolor-patch ]
6 V }; [) d. G' R" S: J v- oend+ S3 t5 P5 k c8 K6 Y5 r
to harvest
7 ?3 n Z8 B& Y% U ask turtles
1 R, Q. v4 d" I8 P2 u [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]" ?: h: w2 j- `7 i5 U+ ?
ask turtles
7 c% b8 M9 q" r6 `8 U [ set grain-here 0- Q9 ?0 `6 N. L$ E
recolor-patch ]/ ~4 N9 ~6 P2 H' L' y7 k! ?1 }
9 ]' M! B6 t/ E. P, Tend
" s! X0 X9 Z. {" ]- C% R7 V4 K. f/ ?5 Y; W1 p. ]3 c
to move-eat-age-die 5 v! C7 z! o0 E. A( X3 ^7 x
fd 1
4 C( e& w9 H1 I. W& X6 N set wealth (wealth - metabolism)2 s8 n+ p; g9 J
set age (age + 1)
# E4 ]- R$ p3 z- @# u if (age >= life-expectancy)6 O9 H7 W6 m, Z3 B8 }
[ set-initial-turtle-vars-age ]
# {& W/ q5 n) E3 U" e9 i3 E% r- X) }( f if (wealth < 0)
+ R% U9 j: ]! f+ x0 [$ `8 a- ]9 c9 l [ set-initial-turtle-vars-wealth ]. C/ F0 y+ A5 V' t, @# B( W# o& ?
7 o* L" ` a+ s0 b
end9 l6 p- z) L9 F! z9 a5 x
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# F8 S" u" e5 f4 \- x" n0 [# Z' B* W
to setup-plots" V) f9 @; H0 L* \* w
set-current-plot "Class Plot"
6 w0 F" _' \# H$ A+ V. j set-plot-y-range 0 num-people9 e3 b+ h6 F; G+ {3 R
set-current-plot "Class Histogram"! j. H z8 ~7 l5 L$ N& L0 C4 G8 A# ]
set-plot-y-range 0 num-people
( T# m5 E: w4 ^- U' Lend- d0 j: w% w# }: \% R
: z7 {9 z+ |2 t1 zto update-plots
' K* Y' E* m; b" Q$ j update-class-plot
4 i; c+ U9 R6 ?: b) I, s update-class-histogram
! A `$ C( N4 |$ b" z update-lorenz-and-gini-plots' O3 c7 S, P" e$ m
end% t5 |& Q; a& [3 C; N
8 L% I5 j1 q& b7 q# i4 H2 {- [7 M
to update-class-plot
7 P# H) d" ~; }5 g. e set-current-plot "Class Plot"
+ W m# p4 W1 c5 b6 i) k set-current-plot-pen "low"/ `- l) \& H' `/ M: i
plot count turtles with [color = red]
6 c& E% C' G+ N5 { set-current-plot-pen "mid"
3 q; e0 A0 j7 c& V( ]5 A plot count turtles with [color = yellow]1 T4 V6 v2 h( }/ V" p7 C! S; W
set-current-plot-pen "up"
, \& P* P5 C7 a _" s0 `' R plot count turtles with [color = green]1 W2 s: K; W4 D, U. p2 o" E0 X
end8 F8 \0 Q: Y% Z2 t& ~+ x
: z7 G3 a7 A0 u2 t+ u3 t1 D0 yto update-class-histogram
. m" h8 b* m% Q set-current-plot "Class Histogram"$ Q4 m! s( {* b. @+ g! q J4 ]
plot-pen-reset9 w/ z6 R; I5 _7 @4 A
set-plot-pen-color red
% c7 V5 D. O% u, x plot count turtles with [color = red]
, J6 e9 M _2 ?, ^# G2 m! M* f set-plot-pen-color yellow
, B B% b+ h! l) o plot count turtles with [color = yellow]0 M# U' Z7 A! A4 k H2 \, e5 c( w
set-plot-pen-color green, r* N; T/ n# i# O5 H$ t
plot count turtles with [color = green]
; A) O7 A8 C5 [end
' P2 Q) I& Y% Q x! O3 N. Mto update-lorenz-and-gini-plots
W3 O5 e% t* o) l; W set-current-plot "Lorenz Curve"# v5 d0 S7 ^ k. T) x% _' I$ S
clear-plot2 @# \! B# y( c1 |* ?; o6 @( ^
$ ]- v; v6 ]) f1 F set-current-plot-pen "equal"
, o' J8 h* D4 t( g plot 05 r( H# k/ u x3 i1 c3 g" [; e/ ]( @
plot 100! W# L X0 p1 u3 H% u N9 f
, r. }: V. @$ ~" t$ a; H# q ]
set-current-plot-pen "lorenz"/ Y1 C* C8 _8 Y1 i# t: n# ^; _. k
set-plot-pen-interval 100 / num-people
' P; ]: b! g \+ H9 x" B plot 06 }8 [3 w4 W9 _
0 a! r' q6 L/ T4 Z) g9 t5 F let sorted-wealths sort [wealth] of turtles
: H5 A, s7 B; Z let total-wealth sum sorted-wealths# K8 o0 D$ j, T& {
let wealth-sum-so-far 0
5 b0 J& r6 @6 P( ~0 j, c3 y let index 0" E3 d( S7 `# o; \4 L- A
let gini-index-reserve 0# C- A! @0 T- a% K2 J; d
1 W3 S, B! ]; H, } [" z# R+ v5 Z
repeat num-people [) k k5 w% _% ^9 U$ }; r# @% h
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
7 S7 Y$ r5 u& {+ M7 F: Y: \% r plot (wealth-sum-so-far / total-wealth) * 100
* O1 \' H. r' K6 q set index (index + 1)8 i& n3 A5 z, @- b" g7 r& H6 i! t
set gini-index-reserve
: M& V1 h" W/ J$ j6 ^9 O* l gini-index-reserve +( r8 u- L6 Y% f1 V. X
(index / num-people) -
; ?& g: A; G, | v! H (wealth-sum-so-far / total-wealth)# `( S0 G* A8 m
]
* P8 z# _4 H- u! ]# m/ ^# ~( Z
: ?6 ~+ r& q8 {* k/ L5 g2 D set-current-plot "Gini-Index v. Time"
, \8 ^: T7 D" M4 ^2 L1 _9 K' | plot (gini-index-reserve / num-people) / area-of-equality-triangle4 ]/ F# x) K7 T" o( u- g
end4 ?1 f( N2 m4 l/ n4 | J/ Z. e
to-report area-of-equality-triangle
7 r( ~' v4 ~6 J4 |" _, ^- U, p report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
! e: V$ l5 j8 Q' d2 T7 j) tend |