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
+ {8 _: k. H( v6 p% A9 j* }globals
6 S- j2 F) ]2 T/ H9 A[, D0 ]( m0 E4 v$ X9 C; K
max-grain - u: Q4 T8 U1 [2 N7 J- f! `
1 g5 M& {1 A8 _ h4 d+ t4 d1 h
]
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' D0 ~% \0 d& l& o- d% J" [1 dpatches-own
+ F8 A/ K5 k, M- f6 b3 n[
5 {" N5 F+ ^+ P, w grain-here
& W' Q' v' @7 H# y# g! J max-grain-here 6 ^% Q$ a* p9 I" c% i
]
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turtles-own
; \& Z. i+ C% U" R7 ]# q {5 D[
6 K+ ?1 B1 c9 \" D" f: G age
. Z8 p' g; Y$ V wealth 8 `6 C. | g! V
life-expectancy 7 H, T/ u+ ]: U# |* D7 K- x
metabolism 4 ^0 _6 c4 c, u: ?- L0 z
vision( }/ b% F8 Q4 f j* t
inherited
* U7 e. ^+ {$ \. N/ z" l: |6 w V]$ z7 V* @0 F5 N
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7 |1 x( a7 m8 a+ T
to setup0 R s2 p( c$ ^, D' L2 u0 g( `
ca! l4 }, S& g: l/ S8 }
set max-grain 502 X* n0 x* z7 P5 d, A J! p
setup-patches% M9 x% }" b' K* P, E9 ~% H; ^
setup-turtles
& L$ ^' u" [4 | setup-plots
8 {- |( z' f" i7 \$ H% O7 I update-plots# A% t0 g* C# d$ o4 m7 q
end( E1 J8 B. L, Y+ M( Q6 F1 y
to setup-patches
/ f7 m( c# `) |5 U7 ]* q! t ask patches
% Q9 u9 [! O3 @ [ set max-grain-here 0
) l1 S% b% e" ] if (random-float 100.0) <= percent-best-land
4 j; K/ U) Y* e% }. T [ set max-grain-here max-grain
- `+ O* L. n/ ^+ F- ~3 L, R2 i set grain-here max-grain-here ] ]
8 L- X; k: F3 J; a& A% k3 A repeat 5) i4 A- m' n# ]' e. v9 o
[ ask patches with [max-grain-here != 0]$ B8 y9 j$ ^$ v# t5 b( \, D+ M# L
[ set grain-here max-grain-here ]
* x0 L% W: ~3 F, p diffuse grain-here 0.5 ]
O0 A" l; G, H. t% J, l+ k repeat 10
/ f4 N8 h1 w7 e* k [ diffuse grain-here 0.5]
% U) M7 L9 f# T+ n ask patches" b! n/ e7 \3 ^! O
[ set grain-here floor grain-here
* Y- J2 M9 U6 Y( }) S& R set max-grain-here grain-here , q% L/ d" F/ b2 \* J+ \( V
recolor-patch ]
+ A( O/ }' {& Gend( T( |4 I. y5 {, i3 S% \, ^
to recolor-patch
/ `5 t$ N1 t1 Z" S set pcolor scale-color sky grain-here 0 max-grain
& L' E; s1 c, kend
! O/ w3 _' F# ]8 tto setup-turtles G3 L' M% B' s" m: f( [
set-default-shape turtles "person"+ T/ @% J( _/ M1 N( v9 e
crt num-people
! l: p4 z) o) S. k: A' e [ move-to one-of patches 6 E2 e& W, {6 X
set size 1.5 1 z, n2 a: D" ~ |" D1 S& `/ a
set-initial-turtle-vars-age7 T. [8 O, Y, i( T( X5 v4 r; W
set-initial-turtle-vars-wealth
2 v3 y8 K5 k. R7 p set age random life-expectancy ]
2 z" e x! X6 P recolor-turtles) q( ?8 e' P1 c8 r) G
end7 v! o" |7 \8 ~( @7 ^5 d! ?
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to set-initial-turtle-vars-age
8 R+ i4 r- i* J* C2 G5 e: p" t let max-wealth max [wealth] of turtles- k6 m* a* s# s$ M' Y
+ A! m* _& V4 l1 {) @) h, H
ifelse (wealth <= max-wealth / 3)# o: e4 b% ` g
[ set color red 2 m. k% Z/ y$ z) [5 j
set age 0
' Q8 [" r* y/ d$ i( t face one-of neighbors4
/ [7 t$ D, M+ X0 k7 p$ K8 l set life-expectancy life-expectancy-min ++ f C% l' U/ ]- q" _6 A8 Q1 G
random life-expectancy-max
8 x# Y4 |) q5 `9 L+ f& { set metabolism random 1 + metabolism-low
6 t. u& g8 R. Q+ R" G' i set wealth metabolism + random 30
: M3 y2 a* t, ` set vision 1 + random max-vision0 v$ S8 ], Z7 e
set wealth wealth + Wealth-inherited-low ]
9 M! i( O" m6 D) F5 s6 P7 E# } [ ifelse (wealth <= (max-wealth * 2 / 3))- O5 Q. u! M. T' Q! K
[ set color yellow
' @4 j# L" M' x, i set age 0! n! t D2 M+ o
face one-of neighbors4 , |( @8 M+ }! u- p" I
set life-expectancy life-expectancy-min +9 L6 @; G* m: G) |/ A: h' I: ]
random life-expectancy-max + 1. N; L, a! g; ?; p
set metabolism 1 + random metabolism-mid
" j8 z/ V% y; I( M# d5 F1 d+ ` set wealth metabolism + random 30
( A/ f$ P# B/ v# D* T set vision 3 + random max-vision
( \1 Q7 f6 h, X- w# H" X$ b set wealth wealth + Wealth-inherited-mid]7 D, d0 Q# m; K" }- ?! P
[ set color green
2 y5 y4 o3 e V' l: p- y. b set age 0: J& m- q8 i% G6 N
face one-of neighbors4
' q5 [# R. A }4 X } set life-expectancy life-expectancy-min +
4 U& E2 T: u9 G" T" k8 c4 j random life-expectancy-max + 2# I' r: F; g. p
set metabolism 2 + random metabolism-up
0 x; P9 T6 d) M set wealth metabolism + random 309 _, N- o1 C. e0 x
set vision 3 + random max-vision
: d6 ?2 P+ [) I+ ^9 X set wealth wealth + Wealth-inherited-up ] ]
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* ?* U- F4 p6 }) i: A+ u+ h5 gend* w% @, R2 j$ y7 v
to set-initial-turtle-vars-wealth" U K+ Z! P) Q0 X- c
let max-wealth max [wealth] of turtles
# M1 H' P% T) [+ o1 e set age 02 r4 s& k2 C; R$ N1 R x4 b; K7 \0 d7 Y; K1 x
face one-of neighbors4
5 @) Z2 F4 |5 c set life-expectancy life-expectancy-min +$ N5 j# A- D0 z& ^6 k2 F
random life-expectancy-max
3 H; p/ ^2 Q6 F6 F3 I* b- n set metabolism 1 + random metabolism-up m4 w6 k* \/ p: }* S
set wealth metabolism + random 30
8 d1 T( [6 T1 Q$ g set vision 1 + random max-vision
3 y! [2 {! y v. Gend# _; W, v4 }- M7 M, y# {
to redistribution0 i# M5 o/ w+ m) t
let max-wealth max [wealth] of turtles
# Q2 W0 D2 Y7 F' slet min-wealth min [wealth] of turtles2 x( s7 S" f/ q2 F. f% H. y& H! |' T
if (wealth <= max-wealth / 3)3 E9 i' c; ^, \( r) P0 C
[set wealth wealth + Low-income-protection ]
2 c, u2 a, z; ]1 f! Nend1 b0 _' J ?; l5 u! n5 C" u) ]
7 A1 A6 B2 ]+ @8 F" `( g2 I
to recolor-turtles
& P+ f; D' X1 q5 Z let max-wealth max [wealth] of turtles
) E$ A- a7 W3 V( M- W ask turtles) w0 Q; Q1 _, h# k8 h' `
[ ifelse (wealth <= max-wealth / 3)6 F5 L4 J% F" S _. X3 T L
[ set color red ], z: L: }- W( O: I b7 H# _
[ ifelse (wealth <= (max-wealth * 2 / 3)): `' Z- F. b; s5 W. u
[ set color yellow ]
8 a- [5 S' J# U. b# ~6 _ [ set color green ] ] ]
% y2 Q7 n/ |2 U: B; s/ D ask turtles [ifelse show-wealth?
, A3 W, M& o4 W5 u, Z4 k% k. q [ set label wealth ]
3 D. I7 \2 g( _& w& e/ P3 v/ l4 Y [ set label "" ]]
, O" W' v& D5 ]! c$ l+ N. Send
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; G) H/ c1 r( ?! T) D, r; h3 Xto go5 R! c" g1 ]5 i) M8 L4 w9 v
ask turtles
+ u- Y2 J6 x/ ^. ^0 e0 I [ turn-towards-grain ]
, O1 k& \' K% j. p harvest
* A0 A7 s0 ~" G" a! h ask turtles& b' u% N2 U+ |2 i, N
[ move-eat-age-die ], o" t* b4 b9 K& S: v: ^0 L+ m
recolor-turtles
* Q9 |- B' j3 w! } if ticks mod grain-growth-interval = 0* L3 H8 s, C: ]' i: o' d
[ ask patches [ grow-grain ] ]
9 m* m1 Q9 A, W+ N: [' B 7 T) ]& @8 U4 T! D# }* I ?- J
if ticks mod 11 = 0
8 [7 |, o# `2 `( t4 l+ l6 u [ask turtles# y1 N& |& B$ Z7 x9 I
[ redistribution ]]* H6 y/ @( I+ k, g3 w2 ^; n6 H' p2 ?
if ticks mod 5 = 0
* i7 R0 F. l+ ? [ask turtles
' V; |8 B/ O4 c+ b; ?, j0 @ [ visions ]]
: p) r* P! r! @ tick
+ Y _4 g- t s, k- f; f/ u. |; a, o update-plots8 B3 e7 a% x: R' w& [+ N4 @# S/ `
end( G( J Y/ \) E f( q# `! l( X
to visions1 m9 _% J. b, ? c& j
set vision vision + 1 - v6 Q( v0 p2 X/ G3 Z5 M
end
2 l6 `! r& u# r9 r: N2 `6 k3 I
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: W* F# R& s+ j1 X! @5 I- }
to turn-towards-grain + \7 ~6 ~" ~: Y1 E" I
set heading 0/ k3 g3 f0 Z8 T; v2 }
let best-direction 0
0 _; z& O: G2 p let best-amount grain-ahead7 a3 x. L2 X1 ~3 i
set heading 90
! n8 e6 S2 g: y- K5 s2 f" ^$ L if (grain-ahead > best-amount)$ Q9 ^- W- M" ]4 M0 X3 Y9 i& a; x
[ set best-direction 909 ]5 L( y+ q9 f1 z2 b2 d- ]: b* u6 Z" S
set best-amount grain-ahead ]
( e$ T* x* l+ I1 W0 S' D; U set heading 180- b6 n* n4 L8 W: k" z0 e
if (grain-ahead > best-amount)4 e& N7 j* m* ?) z4 A
[ set best-direction 180
* w5 b# ^" D# w' Q6 U, B set best-amount grain-ahead ]
: X( Y/ G" U: J N set heading 270* i3 Z$ n. C& m3 B; p4 I
if (grain-ahead > best-amount)
' J+ Z) n. d' o- ?1 U0 O) N3 W [ set best-direction 270( S0 ` Q% v- V: n
set best-amount grain-ahead ]% k$ B: }7 F" p6 w7 b
set heading best-direction
7 m" g+ t) s7 @; }end
8 z2 f9 C9 ]+ z& ^7 u# E0 p, ^
- p- A2 d5 Y- O y) K% \% d7 _$ _! H( w% [
to-report grain-ahead
2 W: X7 z/ }$ d! x- m let total 07 u$ H) q; G( j. c, i$ Z5 X3 s
let how-far 1. I, g/ N. A) T8 O6 F
repeat vision4 G; M: C$ m2 l5 L2 E
[ set total total + [grain-here] of patch-ahead how-far
5 e* Y+ J# e3 M- X+ D6 g8 v set how-far how-far + 1 ]
/ F) M9 R/ s1 N% z& ^ report total
8 o1 x; e% y. d& Fend
# m3 p$ u, {! A3 y3 E9 Y6 n4 V2 `3 ]
to grow-grain & l$ _; [5 h4 v0 B
if (grain-here < max-grain-here)0 |2 T% e2 X: o5 W( a- f
[ set grain-here grain-here + num-grain-grown
8 Z( ~$ h% d3 G; [* e9 r/ G* F if (grain-here > max-grain-here) 2 ?+ L% {& _8 O/ e2 Z& I( n% E
[ set grain-here max-grain-here ]8 c- Y- z1 Y( _( a) U# D; Q2 i4 n5 x) r! t
recolor-patch ]% Z( _: H5 Z* U" z
end- ^, _9 s5 |* t5 o) S
to harvest8 `# ^5 G/ R5 b
ask turtles4 C, E# q: g; }: q, _. D
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]/ a4 m& g" o+ y
ask turtles; O- P9 ]" ?1 O9 f
[ set grain-here 0
( b3 }6 s$ E! W& \! n8 S( A recolor-patch ]) a& b5 [& H# a% M
: o3 [- W# C( _* ?' }
end* t! ?, A o- h+ w
" w1 {! \2 I) n% [# J7 E
to move-eat-age-die
# e1 u& V" B7 g fd 1
1 L% L# _" f% w3 e+ N set wealth (wealth - metabolism)
# _4 H9 Q0 A2 I5 e set age (age + 1)
7 Z8 v; B6 F ^" S; X7 Q+ | if (age >= life-expectancy)
% V7 `9 I, \2 B+ y! { [ set-initial-turtle-vars-age ]
! ^8 x7 w4 j& e( z3 Q! z if (wealth < 0)
* m! T" I6 u; D* v' f2 u8 O [ set-initial-turtle-vars-wealth ]
! P9 F0 O; Z2 z1 s5 y; a
% L1 U+ E) Y' x1 O- Y' q, [5 Xend
6 J5 C: I: e; m+ {! t6 x
& f o ?' q- W0 u/ e+ {& N* L8 y9 a9 y8 H# j# T! M% b
to setup-plots' A' { D4 V/ O, c, z4 N
set-current-plot "Class Plot"9 _7 e2 ]( {( r S6 k% X
set-plot-y-range 0 num-people
% M, p) w1 C3 z6 N3 f5 N( c" f set-current-plot "Class Histogram"+ |) P: Z% D J( W( ~0 m: K
set-plot-y-range 0 num-people( c1 e+ D9 h% R4 v$ j8 D0 P$ [3 Z
end1 q7 l- a( Q) k( P: E3 ]: P
$ t$ a4 W% s- P L- N
to update-plots, k' ~6 h: n7 F# [
update-class-plot, c1 |8 D) }% q9 f$ N/ A
update-class-histogram, l* J( h4 ^ r ?+ U% Q
update-lorenz-and-gini-plots
$ x! ~& a. c# T9 r' w$ f1 `end
+ x& I- {! V: J9 x- y& [4 m9 m* ~/ f4 d
to update-class-plot
6 o8 Z' K; R8 ?/ h. [ set-current-plot "Class Plot"
3 ~; t8 x3 M) S8 z- Y0 { set-current-plot-pen "low"; u& w' R* L- a" |9 w4 h/ Z. L7 U- P
plot count turtles with [color = red]
1 K: d* t4 }9 d. a" }' ~ set-current-plot-pen "mid"
) m, ` o- i7 D plot count turtles with [color = yellow]' N8 j* n' n* f1 c, T
set-current-plot-pen "up"
( T, a$ _& ?3 h1 D, V n5 L plot count turtles with [color = green]
9 x) [ I5 N% S7 v' W9 H" {9 bend
. |. v8 P& F' ^: b2 g1 V1 W4 m6 T! A5 r: Q; j6 H
to update-class-histogram6 R+ U( }8 @4 x1 v; M, z4 w5 j
set-current-plot "Class Histogram"
7 f4 h. W8 `- F) H5 |0 v; ? plot-pen-reset
4 d/ `2 _2 Q, u: S set-plot-pen-color red2 D6 @* i" w5 K& G
plot count turtles with [color = red]2 l. z1 ^' j9 L5 R
set-plot-pen-color yellow7 G% F& A3 o1 e# ^
plot count turtles with [color = yellow]7 y. b$ {1 Y; N! Z3 r8 [
set-plot-pen-color green( M0 I$ ^ m' G% @5 k( L7 S& N
plot count turtles with [color = green]
, a/ ~8 c' D; N: [/ x; ]end
( T, v9 X& Q9 Uto update-lorenz-and-gini-plots& S9 p# O3 F) z& L' |9 S& M
set-current-plot "Lorenz Curve"& } D1 X5 ?' u1 m0 A6 m
clear-plot/ T, N4 Q: V8 `. a* W' z, o9 v( G/ J
$ p* V: W% u7 t; B* B7 }& e7 n set-current-plot-pen "equal"
- g- W# | q3 e% ~5 f plot 0
! ^/ ]+ R- X$ {, } o% l plot 100& B! C8 c2 j% D1 w5 w2 J
; r5 D$ y& r7 l4 W5 o! {: q
set-current-plot-pen "lorenz"
7 {+ r0 v# g# B7 ?# D4 h4 ?8 | set-plot-pen-interval 100 / num-people
5 n; O6 R& C$ ]0 f3 n0 h plot 02 b, H. ~. {1 L- P7 C
1 G& ?. Q$ C6 x5 r- S let sorted-wealths sort [wealth] of turtles
- o% N% K" T7 g# X$ K let total-wealth sum sorted-wealths G' h7 T* q! X8 I+ [* N
let wealth-sum-so-far 0
$ p) _5 V3 z( P; U9 F) _ let index 0, P' l0 K& b4 r' q4 l3 G
let gini-index-reserve 01 P' h3 L% P* |6 ]& B- `1 C$ L
$ _3 t, e$ p5 i& s F repeat num-people [4 _0 U# I% s2 i3 I
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths) c8 @0 p5 y v8 g% i5 O% O9 ^% E) O* N
plot (wealth-sum-so-far / total-wealth) * 100* m3 U+ x$ ]& q4 _5 x3 g( k* f
set index (index + 1)
% ?1 g- E& K8 |/ j0 i5 w$ Y set gini-index-reserve5 W1 }5 s$ [* q9 c
gini-index-reserve +/ k- E" ~: T* i7 p) c
(index / num-people) -8 A- |8 s+ d5 X2 X7 i* d8 O
(wealth-sum-so-far / total-wealth)- i {1 R- d4 c3 ^7 v
]: U4 E; _1 R) {0 a2 i, _. Y
% m2 {& O3 B! M
set-current-plot "Gini-Index v. Time"* f( T7 m5 D4 r I% u7 T$ e
plot (gini-index-reserve / num-people) / area-of-equality-triangle. M2 @- @9 m: \1 A: y4 p4 q
end6 }8 c* P4 r) {* m! o! X$ o' h* B
to-report area-of-equality-triangle. `9 q4 G) j: }& N
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)$ C# d N' ]+ ]6 l
end |