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7 ^ z. ?1 K3 D d6 m: g7 q
globals
( u5 o9 ]7 G9 _0 B[5 C7 O* J( ^9 M9 w: l, |, F+ W& ~
max-grain
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, b: S+ R3 Y1 f9 ?]8 `- P1 p+ P( C4 Y; I
4 d s$ G! Q" j3 npatches-own/ {0 I- P- c% r3 U- \0 |& |
[
$ X1 z7 s/ M8 v6 \+ J# H grain-here
' l7 Y7 ~& i0 e( d7 e4 H max-grain-here
7 R2 ?# C6 H1 q/ G1 m]9 F) D6 y1 p) E7 K) u3 Q F
% V3 r8 t( U* ^) f- |$ e& ?4 @ ]turtles-own
3 ^; a& w" ?/ ~[" x. ^& F" O2 `& r/ T' Z
age
2 Z; K: y Z( u; H! M wealth % [1 g+ h1 z! M7 h1 P( w
life-expectancy 0 t* z# I# }% G( m2 N2 n6 Z* C
metabolism
1 x% y. u' H; C+ T vision
9 |7 s/ W2 ]% l# m8 Q+ l% \8 z inherited
, x) A% ?7 U; `( r7 [% s]
% k: j1 \; h4 m) C- `
3 e/ o% `- g* R) ~1 u! F) C6 S1 ]# `5 _8 z; |: |6 h# E! `
to setup7 E# _2 Y8 M; K
ca
a1 N' `; }) S: a( @! R, h set max-grain 506 H2 \% w/ l$ a C/ i
setup-patches2 j c" X; o1 H; y7 r
setup-turtles* \* F4 k1 H% R: O8 [2 b. s* X2 f
setup-plots' j9 J, ~0 D1 B* O
update-plots5 j1 ]% _' O5 |4 d/ w
end6 l8 f U3 ~- }# R: \
to setup-patches+ w6 |( u3 j! k% w. K
ask patches
6 G2 z( M( j+ Z' i: h [ set max-grain-here 0
0 `3 s3 t$ e; b if (random-float 100.0) <= percent-best-land4 o! O' u7 S- s4 a! T. `
[ set max-grain-here max-grain
% {" b* j* v" B) Q set grain-here max-grain-here ] ]) B* G( {" I4 o# B, E U
repeat 5
7 d7 a: }; @$ k! @3 e+ h# y1 m [ ask patches with [max-grain-here != 0]8 J$ [/ [! H: Z+ h: d. ^$ K( o
[ set grain-here max-grain-here ]
) w9 g6 @, ^$ t' X& ~8 a diffuse grain-here 0.5 ]# ]# ?. \8 v, g; C0 W
repeat 10( V4 m/ O5 m, R; l% n* q5 z
[ diffuse grain-here 0.5]
. F6 l: H; k, F ask patches+ o; V4 `7 c& T; Z. [# B l
[ set grain-here floor grain-here ( d: @0 @4 |8 ?# B( G
set max-grain-here grain-here & X4 Q/ h$ t5 L7 X+ L, m3 P5 _, ~
recolor-patch ]2 M, R! X: Z& S x( h
end* I; Z8 Z* G: K
to recolor-patch
) [& l, z7 F7 V# g4 E* C set pcolor scale-color sky grain-here 0 max-grain
7 a ^& j) ^ z3 g; e5 V7 p- [end
1 {- Y9 u$ o% ]4 m4 P2 oto setup-turtles
8 N: Z8 ]+ K+ x$ u set-default-shape turtles "person"
: ]) t; N7 a4 c. O! X( c8 Y8 _ crt num-people2 t6 O e1 |+ }5 \1 T
[ move-to one-of patches d3 @( d" r1 f4 B
set size 1.5
/ h% q) J0 {& O; p9 g set-initial-turtle-vars-age
) |2 N' H! Z7 [2 I) x: H. K! r; \ set-initial-turtle-vars-wealth
4 Y. m: ]* Q0 o3 D set age random life-expectancy ]
$ V* \3 A ? i3 D: h, j recolor-turtles
5 B" v! W+ e5 j; ~( q" E, g# c' V( }end
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6 K1 }' ~7 l+ n+ Nto set-initial-turtle-vars-age
/ k9 o6 { e" U: K" }- I let max-wealth max [wealth] of turtles/ D4 V& r2 a D! m {
4 |/ I* |/ w, v) y3 b, ^ ifelse (wealth <= max-wealth / 3)
; q) ]9 S E- I [ set color red
/ c' Q: Q8 o' i set age 0. u- @; Z0 q+ I- y5 v9 C
face one-of neighbors4 % R; s7 t2 c5 }0 `' L2 V7 ^
set life-expectancy life-expectancy-min +
! U7 ?, V+ ]) Z. M4 x, F4 `6 K9 h/ R random life-expectancy-max 5 z) h( J9 n5 t4 N" Y/ W y
set metabolism random 1 + metabolism-low$ N" O" [ y1 Y
set wealth metabolism + random 30/ Y% i4 N4 S" C, o; `
set vision 1 + random max-vision
& T3 J* W0 f1 y* ? set wealth wealth + Wealth-inherited-low ]
: T( E2 G! b& @; ]; b; N [ ifelse (wealth <= (max-wealth * 2 / 3))
) o/ a% c, e% l/ w" ~- \ [ set color yellow
$ ~: @7 A3 R$ v+ _0 G set age 0
) q( v7 ]' u0 |! N/ Z1 F' s face one-of neighbors4 $ a. W D) T. W
set life-expectancy life-expectancy-min +" i+ d" ?0 P+ a q
random life-expectancy-max + 1
2 M% l: H1 g: `9 \% A) i set metabolism 1 + random metabolism-mid
/ D/ w, q1 ^/ i" L set wealth metabolism + random 30
3 Z+ n2 x& S a, I: y( e set vision 3 + random max-vision
4 z% @+ n' ?+ ]6 D6 y& }4 [. ` set wealth wealth + Wealth-inherited-mid]
: Y6 L! ~4 r! R* q, y# t8 a V [ set color green ; W. z' e9 A2 y" `% N: `7 |
set age 0
( K& S; M, j1 {7 [ face one-of neighbors4 . c, q9 T* W' M: M
set life-expectancy life-expectancy-min +
1 B5 ^" o5 e/ u/ ?8 j) x. ^ random life-expectancy-max + 2+ T) q( E& s4 k* E- H! P
set metabolism 2 + random metabolism-up
* `# u- |& {' R/ H: `# d) T+ l8 Y( c7 Y set wealth metabolism + random 30
; c) q1 O, r0 i3 t' d set vision 3 + random max-vision
4 h/ f1 N6 l& q9 k5 m7 n set wealth wealth + Wealth-inherited-up ] ]
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end
9 e$ \5 M. j2 }$ ?( Ato set-initial-turtle-vars-wealth3 t6 q \9 |' b2 E% k
let max-wealth max [wealth] of turtles
; w! \5 C+ H5 i* Y# F a set age 0
* W. u) C5 L! C; _% \6 j4 m face one-of neighbors4 , T) f6 M6 j1 H$ G4 J- h1 ]# Z
set life-expectancy life-expectancy-min +
: b# `. F7 E7 q; o% Q1 S S- @ random life-expectancy-max 1 g+ ]& j8 f. m& g8 u
set metabolism 1 + random metabolism-up
# _( T( v) b# k set wealth metabolism + random 30* r r( m. \( X [3 T
set vision 1 + random max-vision 8 ]7 ]# y8 R1 Z3 U# t7 {% ?; c# z
end" q/ ~6 y, v, k# F
to redistribution' Y# K! O# {8 i% q( \" p" _" a
let max-wealth max [wealth] of turtles) b% P3 r5 F& t, j; H
let min-wealth min [wealth] of turtles
$ j+ g: k% R! K# \; O% T+ Tif (wealth <= max-wealth / 3)2 v N- f7 C& K5 F
[set wealth wealth + Low-income-protection ]
6 S: q9 q# a1 O3 p" Q6 l/ ^2 Cend& O% D1 A$ r( o. o5 l0 T* t. p5 y8 t
3 g7 s: J. i X( b. `3 H0 x1 B& \# f
to recolor-turtles( A0 Z" u5 k( v( l+ T" @6 J
let max-wealth max [wealth] of turtles
3 b- w0 J5 m0 S0 ^# H) O ask turtles. {5 r' j6 @% g6 ?
[ ifelse (wealth <= max-wealth / 3)
$ i1 C- I' }& V6 N8 L [ set color red ]
% E2 _0 q( L( m- G5 v Q3 k, V [ ifelse (wealth <= (max-wealth * 2 / 3))6 c9 m. @7 I5 A( _7 h0 C
[ set color yellow ]; H% ^8 M5 d0 e" W9 `
[ set color green ] ] ]
- m: i! ?) q( U" u0 o8 d# H ask turtles [ifelse show-wealth?
+ N, `. {2 Z% Y% c [ set label wealth ]- d& _2 w5 A* `# s/ L- o) ~
[ set label "" ]]
" a9 O' S: r8 O: C2 J% f: y0 lend" l8 r7 J6 s z6 a7 a! Z
' V2 V, v1 l9 u/ K" ~( P) a" sto go
# j' e' Q& R! M ask turtles
4 v6 J. `: T. w [ turn-towards-grain ]
+ s& f+ H& c/ L harvest' h' R2 U6 s/ c) b* w; C% K, E
ask turtles
7 ]7 |/ o+ j% i& Z: A [ move-eat-age-die ]
- i" H* j& z! z9 A7 W9 R7 c recolor-turtles
6 V" X4 ~" X4 V8 j8 X if ticks mod grain-growth-interval = 0; G; _7 Y# ]0 D- ~6 x& X4 i9 w
[ ask patches [ grow-grain ] ]
! W3 W/ E6 w& ~9 K4 p; [" h ) i* J2 c$ _' T0 S- y3 T* w
if ticks mod 11 = 0
$ Y# B' U. M) `) `: L9 L [ask turtles% T0 o& q) X$ w1 H) s- @$ r/ j
[ redistribution ]]0 v; @1 |* ^' ~# Q8 u' b
if ticks mod 5 = 07 h3 T) P6 e' D3 h* ]
[ask turtles5 V. V) F- f w" E
[ visions ]]
- e$ y0 ?" z9 n7 s* k1 e tick
' w d; S3 C8 Q3 S. \$ K+ G update-plots
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to visions8 n- Y5 }. W& o
set vision vision + 1
' z1 m9 i' f& p0 H xend: O, V$ f% B0 K9 ~7 O h A) O
0 ?* j" e# B, ^+ g8 }6 @
3 @1 f0 f* u8 S0 z
! a- {. k+ _/ u$ @to turn-towards-grain : x7 |- T) q3 M9 o* t/ M2 H3 N
set heading 0! ]+ r3 E: {% M& U! I2 O8 \, B8 e u
let best-direction 06 T- c* I* P1 I/ X. Q! L6 f+ C7 `
let best-amount grain-ahead
# n( Y: r& ]( E/ V* ]$ L set heading 90
3 H) E) `3 i7 @- [2 @* f! j if (grain-ahead > best-amount)% T ?! A* Z K; O
[ set best-direction 90" u* s2 U. s+ P* x* k
set best-amount grain-ahead ]
- `/ P3 W, t' M6 U6 @$ b0 W set heading 180
9 w( R4 M, N, p if (grain-ahead > best-amount)
* l4 n0 b {- |% P* }( a0 E5 e. e- J [ set best-direction 180
) s0 T3 f8 h2 H& T' @ set best-amount grain-ahead ]
1 V% q) S# p0 z& z set heading 270
8 _% K& O. I9 \ if (grain-ahead > best-amount)
* P5 W2 `8 g# H: D/ Q2 h W [ set best-direction 270& _* n; M: O) h6 V! Z/ a9 Q" x
set best-amount grain-ahead ]
2 @4 k `9 M9 S) B `- p set heading best-direction
( s7 J) J4 m6 b. z4 R! {: Aend( S: Y1 |4 I {. |
4 I$ h: M t# u/ G% l; Q
" D- _2 Y' q% _/ ^: A' E* w7 N4 Uto-report grain-ahead
# a$ z9 Z& I- i% p8 D let total 0
" D7 G5 p$ ?" V0 t( Y0 p let how-far 1/ b4 r' x. s. D) ~( M: R o! C
repeat vision
9 G8 z3 T# l+ b4 m. e7 D9 ` [ set total total + [grain-here] of patch-ahead how-far# D; e% ~* k& E. g
set how-far how-far + 1 ]! D# i! f/ e: F: h8 q% g" t. j
report total
+ a8 X" Q/ h$ K$ I% k) oend
b1 M% U0 v, |, S/ ^$ \" D6 n# l
0 F! s4 x9 S1 i* Fto grow-grain
/ I1 M p% i- f+ f3 M if (grain-here < max-grain-here)
5 x1 y' z4 r' r [ set grain-here grain-here + num-grain-grown
A3 `9 z( h5 \7 w ]* \ if (grain-here > max-grain-here) ! h* r, p/ `! I1 k' k- p" T! L
[ set grain-here max-grain-here ]
' t7 h0 g V h$ c) l Q" j8 a recolor-patch ]
, A$ E9 A# n/ k4 l4 E# ]( Gend- u g3 q& I/ s8 h. W
to harvest
$ Y' l% e4 w* m* g) _# ^: Y ask turtles1 s8 R2 M* z3 y0 s7 s1 R$ F
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]( p1 _4 @$ ^: v4 m8 M5 c2 F5 q
ask turtles! f0 y' z) [- T( G% B
[ set grain-here 0, e- ?/ b" {" z+ H0 N
recolor-patch ]
# `$ ?* b, a7 o6 X. w6 Y! i
* {5 h, g2 `% I) w+ r; y. Pend. L% o% [7 ]5 i% K
4 `1 _( J% o) z" V* T
to move-eat-age-die
0 R. Y; B, J' u1 x1 W fd 1
% ?/ ~" U: F/ Q- ]7 d& H7 f set wealth (wealth - metabolism)* g1 U! e7 }/ W; A* I* d, _
set age (age + 1)& Z9 I" F: C* I) Y
if (age >= life-expectancy)
$ C, n. j% R" K! l Y [ set-initial-turtle-vars-age ] I9 }1 ]3 A f6 x- j% o) G: F" Q% V: v
if (wealth < 0)
8 t0 n% `! V7 k# A [ set-initial-turtle-vars-wealth ]0 B2 _7 y% Q& \( [8 Y% [
& i( D7 B- o0 d, M# \) Z
end
: B* E$ F& w& t
# {( t. W# N ?. n# b$ Q; {$ a6 i+ {/ Z! V& e, {' J
to setup-plots
/ L$ e9 F: I, z0 l# A; p, J set-current-plot "Class Plot"
9 `4 X. H' I& w) c7 e' ~2 r* h2 Z set-plot-y-range 0 num-people# Z# A, y) X. X5 f( Y& f8 ^
set-current-plot "Class Histogram"8 B4 v4 i1 Q( g) L3 f L
set-plot-y-range 0 num-people- W! x# a* j: j- R8 B2 V
end
) M" {; S) J) n) i- F
7 Z. H- a* O0 J1 A$ ]! U' n6 Hto update-plots
* V: t7 P- |$ ~4 w) _5 @ update-class-plot
8 K7 O! G. c: s4 A% s( J update-class-histogram
$ X% y' x; l+ o0 c update-lorenz-and-gini-plots
/ K) H; {- n; g8 r( M. r; Fend2 W4 _. Y. C/ C) t; w( B+ ?( M
- Z1 q/ d: d& u# y0 L# y; _% ~0 Oto update-class-plot( \! r9 f3 p( }
set-current-plot "Class Plot"
% g8 G5 k; w" Z, M# @ l set-current-plot-pen "low"
& W, X6 A3 J# Z( V plot count turtles with [color = red]
4 H5 r. x* j' y, r9 c set-current-plot-pen "mid"
$ D# ?+ Z% q, n# U4 ~; b( ~- T plot count turtles with [color = yellow]
S6 `0 x$ S: q4 b' m: b0 d set-current-plot-pen "up"3 V8 s! K4 a5 r, [
plot count turtles with [color = green]$ J% X; Q$ W% T4 V0 [/ F8 ?
end9 y1 P2 C+ C, T. N! x' l7 }6 Q
$ C. ~# n( l& k' Z
to update-class-histogram$ W( e' |) T, X" s4 z& h3 M
set-current-plot "Class Histogram"0 S1 B2 J0 ^1 k2 S& ~+ s
plot-pen-reset; a1 G6 Y8 {: J
set-plot-pen-color red
2 X/ C: R9 n" U( s* [$ D plot count turtles with [color = red]
. k( a3 J2 ?$ o# ]0 S, q! [& G set-plot-pen-color yellow
, m- U- v4 y" s3 f# w, c plot count turtles with [color = yellow]
( N; K3 g& }& X4 c set-plot-pen-color green, {- A' S% o/ ]# P; [/ n, u. h
plot count turtles with [color = green]: Q- I }$ ?6 x& X+ \
end
; Y3 p1 B9 j7 }& oto update-lorenz-and-gini-plots" N- W0 O" N% Q+ q$ L% B
set-current-plot "Lorenz Curve"
( c5 \: j4 l# {4 z- b0 ^: ] clear-plot6 F7 z% i0 t( V% h* t
- w# y) I$ j. U: p
set-current-plot-pen "equal"% {7 q0 x: H9 h2 Y' [
plot 0
1 @7 u8 x; D7 V; g6 I plot 100
( o# l) u0 m9 s+ e$ ^/ N( _+ d0 R2 G* j
set-current-plot-pen "lorenz"& n( i% m9 u9 v% l
set-plot-pen-interval 100 / num-people
* ~* u9 Z; E( L& p+ I plot 0
' K8 ]" V& F( F' e0 E% i: q, w: h5 m; M
let sorted-wealths sort [wealth] of turtles
) A1 Z* v1 N" X& C: r let total-wealth sum sorted-wealths
9 e; H6 Z* O4 D0 m* F let wealth-sum-so-far 0' ^6 |2 H$ C$ @ A$ P
let index 02 ^$ S2 \. D; m! U' A* `! d9 u8 j0 _
let gini-index-reserve 0- ] O y# k3 T* j) U, G! z4 `
- d3 k: F4 X3 f, R3 K9 u repeat num-people [
( x9 t, U! P& m. n set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)& ~; R% G/ [* ~! F
plot (wealth-sum-so-far / total-wealth) * 100
8 C3 A$ w7 }. ^% K$ U$ C5 ^ set index (index + 1)
p% e7 R( S0 B- k set gini-index-reserve
3 @' ^7 g# o* ^- P$ D( Z6 ~ gini-index-reserve +
9 X8 }4 |3 g* M$ W! K; l (index / num-people) -
+ i5 z6 T5 T/ Y" d$ p (wealth-sum-so-far / total-wealth)# |$ z) O6 z$ r! e p
]
# a1 X3 L. G# T8 _$ l1 s `
# E4 q0 H9 _: ^. w set-current-plot "Gini-Index v. Time"/ R0 V6 h) j& v) x4 B
plot (gini-index-reserve / num-people) / area-of-equality-triangle
9 d4 J" P5 I! o5 dend; k* O, z, v) L$ {4 u; F3 G: D$ g; {
to-report area-of-equality-triangle
* `& t% E. p5 x' a" @7 S report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
1 t* K2 E* y9 Y% R& _end |