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
! p+ E$ m; ?6 |) s, pglobals2 f- \7 R! v+ a+ c
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max-grain
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]
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patches-own
: X8 J9 @9 J& \" V/ X$ n4 R[
6 z D2 B: k \1 L0 F' P grain-here
- V5 F- {2 t" @# ~# `/ p: ? max-grain-here
6 L4 |/ b) A% ?]
\0 y% q: [0 |" I3 F' G8 ?& s a H4 Z' C* c3 J: J& S
turtles-own
( b2 [" Y* B3 J( c0 e0 E' U[
/ v7 v6 Q0 S0 I# r age
5 v/ e8 s* B* A) A; e1 W wealth
7 g8 [: Z/ l! m' a life-expectancy
; G! B$ R' t# ?6 Q0 ]7 x0 D% L metabolism 6 E. R8 j' T, l1 {) B$ H+ U$ P# X# e
vision
/ b0 Z2 j/ ^: Z7 J1 P' o/ Y# r) T inherited % f4 f5 r2 X1 ^" @
]4 u. q7 }! X3 v+ @# S" }
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to setup4 J$ n. ?, h& S8 X: n& S
ca
1 K# C ^3 U$ _) u6 _8 G set max-grain 50
: J* P! a! e5 o& {7 w setup-patches
4 A0 j% u) W" p E* J' @ setup-turtles u- _1 j2 E x. E
setup-plots. E. \: k# e; \% t6 Z
update-plots
$ x' ]3 k9 Y, y; d" p/ |end$ x L: W) D) y: R" ~
to setup-patches
/ w3 {, G j) I- L3 ~ ask patches7 k* S, d; p- H5 F4 q1 e5 y
[ set max-grain-here 0( Y) e8 A+ V" L' l6 u9 J
if (random-float 100.0) <= percent-best-land
' ~, \2 J. A) l2 [ [ set max-grain-here max-grain
* f; P! [: m$ x9 b2 b; ?4 n set grain-here max-grain-here ] ]
* o7 D4 \1 I% y repeat 5
) D1 C1 j/ N8 I/ C% w [ ask patches with [max-grain-here != 0]
* R& Z! P1 F8 }9 ^% ^. k [ set grain-here max-grain-here ]
% o7 J4 G/ [' O( n" _. h" A- Q diffuse grain-here 0.5 ]
4 h* p( C1 z! b; _ repeat 10$ ]" A+ X% k8 K! M& b& U( `
[ diffuse grain-here 0.5] 9 J3 O0 U* P: v' G3 {( ?
ask patches
$ S- E+ y9 n! Y& r T) `9 S* a7 e [ set grain-here floor grain-here * o3 C! ^6 l4 V
set max-grain-here grain-here
5 O+ T* A$ S; W k" P9 l recolor-patch ] o( t8 a# Y) Y$ D
end
@6 r- K( D% d% X/ O: ato recolor-patch 5 w& n% ]# [3 @# ]8 D# B& C
set pcolor scale-color sky grain-here 0 max-grain
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to setup-turtles
6 v+ q; }, v, I set-default-shape turtles "person"
7 S* N9 ~3 L, {$ I+ ?1 k9 k crt num-people
- O* w: {! q" D$ B. I5 @ [ move-to one-of patches . M2 }& a: o, E! x' H, m
set size 1.5 7 q/ g9 v1 t0 s! u# T; y9 y: k1 s* ^" k
set-initial-turtle-vars-age
3 }- M8 Y7 Z" n: R+ c set-initial-turtle-vars-wealth; Q3 F& Q0 G, d5 r6 O
set age random life-expectancy ]1 A: v2 w/ s" f( }' }
recolor-turtles8 U( [1 G* V- G+ n9 B4 j3 ^. J
end" ]0 `& }6 z5 g( M; i
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to set-initial-turtle-vars-age+ [* R5 \2 J; A# b* F9 D; `, Y' U
let max-wealth max [wealth] of turtles
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ifelse (wealth <= max-wealth / 3)
' c; ^1 D* @2 D" x; ^9 [5 ^7 } ?) Q [ set color red
' k- w) F4 |& W" g set age 03 I/ H/ C: X# u5 w! _7 t( S9 k+ Z
face one-of neighbors4 3 _6 P8 f. c0 x
set life-expectancy life-expectancy-min + o% q( M3 J0 Y8 i. g0 p( a
random life-expectancy-max & ?- f2 {- }4 H% q& S0 c) q
set metabolism random 1 + metabolism-low
5 ~+ Y/ n! D1 [8 T. k2 F3 ?& x set wealth metabolism + random 309 a6 U/ f7 T, G; i7 @. K) s" J
set vision 1 + random max-vision
. e8 f5 `% D3 C set wealth wealth + Wealth-inherited-low ], G, V' S1 ^/ T, `) t
[ ifelse (wealth <= (max-wealth * 2 / 3))
9 Z9 v: H$ K# |! j& l. E [ set color yellow 5 ^ p$ j4 H) K& V. b0 b: Q! D
set age 0: f: ~$ c7 H6 }8 v2 `
face one-of neighbors4 $ W3 `# ~8 Z+ c$ x! g( Y9 k
set life-expectancy life-expectancy-min +
9 C* ^' h6 v7 Y+ Y random life-expectancy-max + 1/ m. v' m, x& R+ r% s+ O
set metabolism 1 + random metabolism-mid
0 W- T; U& k! f9 q' k$ x3 f4 I set wealth metabolism + random 30
5 U/ n: j1 _" Z6 E& R set vision 3 + random max-vision: Y; `, b! f% s5 Y: r+ `5 O
set wealth wealth + Wealth-inherited-mid]
* C9 x* G. z- p1 r0 L8 p; F [ set color green ; n0 S. o+ [1 J
set age 0
2 u0 o5 h4 ^" w) |, W z* G {. Z face one-of neighbors4 : `( |8 A$ C8 {+ B' T; @
set life-expectancy life-expectancy-min +
% I3 [/ X3 ~6 y+ \1 I+ g0 o: k" y" z# z random life-expectancy-max + 2* G) l! t1 N! s5 E$ \- C
set metabolism 2 + random metabolism-up* c2 N: x* c) E! i m0 H
set wealth metabolism + random 30
, Q9 B+ b. t" K( J set vision 3 + random max-vision3 {# f- u/ v# R
set wealth wealth + Wealth-inherited-up ] ] & V6 g: c, Q7 M {& W5 N: N
# b2 G5 @5 S3 C4 {( r" I/ \# _. z1 g* a
end% O& X; Y) a% }; J
to set-initial-turtle-vars-wealth
. M. O" _: }+ }% u, ~6 n7 z7 J; q let max-wealth max [wealth] of turtles) D) f: z. b7 z% h$ y
set age 0
% ^' @& J8 P3 _# B face one-of neighbors4
2 Z0 _+ R2 q \" O$ c set life-expectancy life-expectancy-min + v& ^( _3 D5 H% `. q0 [' D
random life-expectancy-max : ~( a) A/ J4 Y# z9 W
set metabolism 1 + random metabolism-up
, S( a. d. N. `2 H. m1 Y set wealth metabolism + random 30( n. B/ \5 S6 X" }+ _
set vision 1 + random max-vision - ?; u `3 ?7 O( i) T. P4 ^$ V
end6 J, ]' F# V+ b, ]; C' K
to redistribution7 \6 X1 G3 q: r9 a
let max-wealth max [wealth] of turtles2 P+ a1 ^% I# R' ^* X# L# Y
let min-wealth min [wealth] of turtles& d" c p' H* O' \. \
if (wealth <= max-wealth / 3)) k* h$ k( W2 Z; b, k+ w
[set wealth wealth + Low-income-protection ]
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to recolor-turtles% k& g: E8 s: }# D: L
let max-wealth max [wealth] of turtles5 e( o' l9 X" @( y" k( c
ask turtles# G5 f) @1 ~- U& `
[ ifelse (wealth <= max-wealth / 3)1 l" _# Y9 i- q
[ set color red ]
- ^" a! } [1 c8 a: u" [9 w2 q [ ifelse (wealth <= (max-wealth * 2 / 3))
! m5 ]& N" N( h* X1 I# b [ set color yellow ]
) H6 b0 A- r# w3 d) I [ set color green ] ] ]
, [0 ?0 x& A5 E$ D4 ?* f ask turtles [ifelse show-wealth?- T9 R0 V- R- H8 o" {; ^5 F+ B' J, v
[ set label wealth ]
5 B) y+ ? ^& m" z5 M7 ?/ ]: r [ set label "" ]]
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L: _0 l: c% C+ Cto go; p, ?0 n, Q2 r; c0 m6 u
ask turtles
' n- j3 \ ~# o' Y5 n [ turn-towards-grain ] 1 Y, y8 D2 O, T, c- q, [
harvest9 I2 X0 l2 S2 a
ask turtles# @% `; x" q5 u& ]+ U0 ]! x3 M
[ move-eat-age-die ]4 T% Q6 j' ~( x& e6 f
recolor-turtles
' ?) p6 d6 u- R. V; b& g5 p+ t1 a if ticks mod grain-growth-interval = 04 \9 Q. T+ Z* U: U
[ ask patches [ grow-grain ] ]
# a( x& T+ |4 S, P& U6 X8 ^: i
, q7 Q/ i' f% B" T3 e if ticks mod 11 = 0% r1 S# S$ U) X1 F/ h: a! w6 G& u3 m
[ask turtles
0 W5 e+ |& K& g) o1 K- |; h [ redistribution ]]) Y- S: w+ R& x. f. S( E: S: l) @
if ticks mod 5 = 02 e+ w1 U1 G b7 @+ h1 E) a
[ask turtles* O: s4 [" f9 L) _6 v( Q
[ visions ]]
, }( I% @7 t+ a tick$ g5 K; @5 h2 D$ a( d
update-plots
6 S, t: I! t$ ?3 P: v. a% s Eend
3 Y9 ?9 X7 n. ~) a1 ~to visions
) I6 c, ^, K- {. d7 X* \ set vision vision + 1
8 c! y, D$ u' A3 L! O, k/ n" Eend9 V2 P4 o5 J1 \ c% K4 x! y2 V& F' R) {
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$ E+ Z. T4 e/ w r1 b& p2 Fto turn-towards-grain
P% d' i7 g3 @ F' z: r0 x set heading 0
: v9 s/ w8 z- B+ r5 S: q* @ let best-direction 0
: i5 q) y7 P2 @+ l, B let best-amount grain-ahead* a% a& T$ J0 d0 d8 A# X
set heading 90
" T" A5 U3 i1 v! }4 C if (grain-ahead > best-amount)
9 k: U8 c: b; @, u+ [" N [ set best-direction 90' h5 p9 {$ J& v! t4 B* C7 a
set best-amount grain-ahead ]
) `( T# r! D1 a. ]# H% n y set heading 180
& k$ d! z. k3 k) G: ? if (grain-ahead > best-amount)
R7 t ]8 Q$ c4 R6 z$ [ [ set best-direction 180
2 K9 `$ K9 I. x0 ]4 e( m set best-amount grain-ahead ]
) D5 ~. R% }5 i) r set heading 270
K! G" P7 ^# |2 K! i* `6 F; U if (grain-ahead > best-amount)
6 D1 ~& a: i2 Z6 H2 D [ set best-direction 270
9 A8 e ^9 H! u: { ~ j' C set best-amount grain-ahead ]
. D [( c& }9 B( z' C, ~ set heading best-direction
$ s3 a" c9 `7 U! F Uend
& ~/ z- f7 @" l. L7 U" K/ B; l1 D x" o$ h* k
/ L* o/ m/ v+ Q {% Oto-report grain-ahead 9 b+ C3 B7 U6 G, `) I+ S; S: @
let total 0
* J+ t( L6 }% h/ O let how-far 13 G9 A6 G! D, K) f- M$ _" P) {
repeat vision
2 w2 ?4 j6 W! O# Z. B8 M4 p4 H7 G; V* | [ set total total + [grain-here] of patch-ahead how-far' G% W9 J2 U \/ @
set how-far how-far + 1 ]. `" o6 H9 k$ N; }& X4 n/ E
report total
3 h3 e" w' \8 B1 n" Hend
- Z w2 k) X N2 m
5 a4 R/ q- o" S! [! `0 ?to grow-grain
( e' q6 R. z4 q( W. T* z9 t# e if (grain-here < max-grain-here)
/ X; n4 I9 K7 p0 P [ set grain-here grain-here + num-grain-grown6 ]/ f/ B1 g; A) @: ?
if (grain-here > max-grain-here) " X5 c4 l- j+ F# z
[ set grain-here max-grain-here ]
5 ^" X8 U0 G M1 k% \4 b recolor-patch ]
8 c/ k; r- N- N1 D) Eend
: z/ J5 Q) g F" ?9 F) }( eto harvest
5 B6 @7 w& C+ m6 v4 ~6 V% C# Y2 b ask turtles
& @1 V! K* V2 G1 W [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
. O1 |' }" B5 {% x/ P. p* r ask turtles# A b4 T2 A% g2 f: t( o
[ set grain-here 06 a+ L) e& O- D/ B4 a \3 u6 u
recolor-patch ]* @( T% a) O' y- T& J q
" ^+ Y. ?( {5 g b v0 z* [end( v: o0 D7 a8 ~' ?# E
$ ^8 ]+ h. P( q+ g
to move-eat-age-die ' g1 ?8 z2 u, ]( k+ Q, o: N
fd 1
, Z: `3 P- Q$ [" E! ?, h set wealth (wealth - metabolism)2 }% B3 |' A7 N
set age (age + 1)
~ O! B0 R O- w if (age >= life-expectancy), y( X/ r' D6 }3 B9 W: |
[ set-initial-turtle-vars-age ]" l4 m1 b) @5 ]# e2 z; T7 m
if (wealth < 0)
7 m% d+ _; i. [0 V# v, M9 F1 Z6 x [ set-initial-turtle-vars-wealth ]
1 r7 [9 H; i/ `6 {4 |9 Q 4 d1 i+ Q0 J0 U" Z9 l k) w6 G. d
end
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& |' D1 U3 n' j0 W, z- E+ Y+ I8 T8 `' h" v/ \' ]
to setup-plots
( W0 g5 w, `& s) m+ K set-current-plot "Class Plot"
2 g8 q) c3 k. N' D \( i4 B" |7 p set-plot-y-range 0 num-people2 h) ^; s3 E/ y" `0 m6 Q4 o
set-current-plot "Class Histogram"
6 A+ V8 d2 W( H" v* R. I! o set-plot-y-range 0 num-people
, V# l7 F; Y6 l2 G- w* Xend0 ~& Q3 o4 t, k! |! X4 F+ H. z3 |) _7 K
3 Y( k- A+ Q, M, o( X8 qto update-plots- \* ~( o' P) A* P9 E' g* O* J; v
update-class-plot' Q# z- n2 v7 l% I$ z
update-class-histogram
4 y: J( f+ U: r* Z+ [ update-lorenz-and-gini-plots
; [# Z+ D( ]1 f5 [, \: yend* V" Y2 c) s, C# G7 z
( [1 X! Y* }. `8 b% u* i b
to update-class-plot2 [# ?1 S& T, r5 M# ~7 a
set-current-plot "Class Plot"
& h: l$ I8 N/ R2 R: a& Y2 Q/ t set-current-plot-pen "low"$ T! y6 E- m" T& J1 T! c4 y; K- L
plot count turtles with [color = red]
7 K' k- E9 n- I( j! P, B set-current-plot-pen "mid"' F. |1 R, M) `8 ]
plot count turtles with [color = yellow]
8 Q& Z. }: h5 |# \- E+ N$ u$ X set-current-plot-pen "up"$ ]0 }$ E: n; M& w( ]! K
plot count turtles with [color = green]8 Q ^! G8 h) j1 T6 o2 K
end; p+ M! ^; i7 |5 i8 q
$ z: s% ]. w8 n. K- P0 b
to update-class-histogram9 N# q( C1 e) K2 U
set-current-plot "Class Histogram"
! t- |5 W$ G5 ~( ^8 u# ?) H plot-pen-reset$ t' t% C. ~3 v
set-plot-pen-color red: B3 o, M+ i- n
plot count turtles with [color = red]
" C* p- Y3 u& {3 O8 V, M; O9 R set-plot-pen-color yellow, H6 G, o9 Z* P
plot count turtles with [color = yellow]' w9 Y4 ?- V% q) H- B7 t
set-plot-pen-color green% M) i, e2 y. H: \" E
plot count turtles with [color = green]) z9 d3 j+ H' c6 [
end
+ P; H% L# T1 Tto update-lorenz-and-gini-plots! H5 p* n" f m) g, |; \
set-current-plot "Lorenz Curve"
: ^( I# I, ~, P a% J clear-plot4 q& p! |) [: L
* g. a+ ^. Y$ A( w4 o, S0 D: E# D
set-current-plot-pen "equal"
' P3 u5 R- |& M+ [# J( e# C plot 0
' B/ w" ]* w% A plot 100
1 y4 x- O) G$ {9 h4 L6 I- Z" m; N: }
set-current-plot-pen "lorenz"
" Q% v' f0 g+ D' y) X8 B set-plot-pen-interval 100 / num-people
6 p( [/ l& o$ x" n2 R plot 00 L+ b3 l( h+ I
& k7 ?/ T: `+ [6 A) K( U( G7 c8 V
let sorted-wealths sort [wealth] of turtles0 {6 z2 k( Y1 p, ?! Q- `; j
let total-wealth sum sorted-wealths" n8 b. f( u+ Z" K9 O; L
let wealth-sum-so-far 09 k" ]+ V" t: [! L& \9 T/ O$ w" b
let index 01 A8 h+ l/ S9 x
let gini-index-reserve 0- c N; m: C6 l( ?. W) N* I/ g% p
) r8 T2 o- j& ]& V5 [' L
repeat num-people [
( Y- S: j2 t4 k1 J set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)! I7 R, J0 J7 @0 U3 \
plot (wealth-sum-so-far / total-wealth) * 100# ?& T M+ u) g
set index (index + 1)
; J5 z9 R5 k+ D) V/ d& c set gini-index-reserve8 H" e# j- Z9 k
gini-index-reserve +
" G; M5 X: P( e ]; c (index / num-people) -, [; B' W. Z/ |" |! }2 S, q
(wealth-sum-so-far / total-wealth)
8 g3 o) _: r" Y. M/ b! m4 f) }4 @+ A ]- a* i5 f. b2 c& Q3 K
, w* X( I! X# v* P8 g; s6 ^$ [' U set-current-plot "Gini-Index v. Time"; t6 v+ @/ z+ ]3 c- Y! f+ u
plot (gini-index-reserve / num-people) / area-of-equality-triangle
( x; ~7 Z2 {. {( `8 |% R% Z/ H. rend
7 b; L" X( T1 r$ y' x/ vto-report area-of-equality-triangle- G- H/ |9 b$ G6 N
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)6 I$ I A3 M" M6 L$ x
end |