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9 q" _1 C9 b$ n' c9 A
globals% \6 j% G5 Y4 t% F; |
[
$ G n* k) y. P! M max-grain . M4 M# q8 F; ?& P5 K
+ E' R' r( \+ Q7 T3 T]. Q& W& z3 |* x, p# O
; R% d/ q( {' C& }( y
patches-own- w9 ~5 x& Z# y( `) P- ]1 b0 |
[2 l* L. w9 r5 w5 t# `' o8 b
grain-here
( M' `% {/ l; n3 s6 o/ m max-grain-here 5 b# [+ f G$ d8 s5 o& |: r" b
]
$ d1 w' m7 [7 i- ^4 q9 a; d
! I* Q' J: [. }turtles-own
7 B% P8 P% n5 e* j" O3 k6 ^" f- R( l[
, s& F1 V2 F5 v' _; o R' Q, ] age
1 {, P0 z) P3 w wealth
2 O* r- K- I: F+ z6 D. q7 E7 h# Z life-expectancy
7 U9 E' Y) X7 e$ I metabolism
" k% {& N. w' D' M8 W X* K; q vision
% ^$ {) q& n8 O3 z9 P1 Y$ w) X inherited 7 S: f1 ^5 W: Z) R- I# H+ N
]3 Q) w- J2 K Q9 j* Q
$ i: S( W/ Y3 |5 ^
9 e0 U, _; E' Dto setup( \0 O# S9 M2 Y. T8 Y6 p( C" G
ca
6 ?. U: s" l9 I; u3 } set max-grain 502 p2 K5 l/ r7 q
setup-patches$ G. W+ x: n: u
setup-turtles8 w' J' W6 v$ K. z" l
setup-plots/ o% T1 n: {4 ~. n5 ]! S/ P
update-plots
) ]6 s& f u# K$ } Kend0 I5 T5 P7 S4 C8 Z
to setup-patches
* K5 c1 D! x4 R0 G" |% M" n6 Y ask patches
3 n# y0 G2 @- V* T. A, t [ set max-grain-here 03 L" x$ J$ }+ ?& ]
if (random-float 100.0) <= percent-best-land
# @" ?1 _6 {: T) K- d* m [ set max-grain-here max-grain
" U8 D# ?0 s, q set grain-here max-grain-here ] ]
6 N) z& d; T0 q0 N( Q3 X repeat 5
3 j" C- B3 S+ ^2 s2 S: f( l* } [ ask patches with [max-grain-here != 0]6 W/ U% H- w! F
[ set grain-here max-grain-here ]
. _! H' @9 @8 M+ H" E0 C7 K diffuse grain-here 0.5 ]
/ G: J: y7 L4 S3 s1 @4 _ repeat 10
$ ` G: w2 I5 T$ Q1 s7 w+ W; S [ diffuse grain-here 0.5]
- L4 R/ \8 a5 ~/ i$ v9 t ask patches
3 R) G/ {2 @, o/ P7 c( d' | [ set grain-here floor grain-here % l' l+ j8 @# v" a# N- ^
set max-grain-here grain-here
# }6 v+ Y. a4 S: U z/ f recolor-patch ]
& V7 u6 Q. a2 e$ M$ @' t7 [end
# M \$ R7 f+ A: u$ t" Lto recolor-patch % P* M/ C( H# h
set pcolor scale-color sky grain-here 0 max-grain
6 _# h; _1 J! J" k( ]# }end+ D+ a0 E9 n2 O
to setup-turtles5 _7 S9 \, `8 v
set-default-shape turtles "person"
" y/ D X! t: ]; `" X& Y5 {2 S9 v( ` crt num-people
9 K+ w8 N4 |! j# S [ move-to one-of patches : t6 i" A2 A' ?
set size 1.5
- i& m# `( A, V e/ Z8 m2 ? set-initial-turtle-vars-age8 i8 e- d0 N( G- d. ]8 m) Z
set-initial-turtle-vars-wealth
* \8 ?4 {6 S1 Q7 r$ D# ^ set age random life-expectancy ]
1 D+ w& w, p0 c recolor-turtles' V3 q6 [$ D+ m D9 k5 _ B
end
/ y+ e0 I+ A. T* Q' Z4 R! p- U6 `! R3 S; U& E( X, }1 j& c, k
to set-initial-turtle-vars-age
9 |+ H3 |7 v) ~( G let max-wealth max [wealth] of turtles
; Q; G [' ]0 z; f) }" |, F; k
" f5 P' H9 C' W0 E; ?( V/ S ifelse (wealth <= max-wealth / 3)
3 {1 f) G2 |+ Q" a1 L/ B [ set color red 7 b" ?0 [! i6 A* j, g6 ^
set age 0
; ]" }" R: |9 c7 s' \ face one-of neighbors4
) v' B& ?! N/ J6 @ set life-expectancy life-expectancy-min +
' Z% T1 S, |9 S9 S; k, ?6 C5 o* q random life-expectancy-max
, O6 W- I6 l* x7 v! s0 v) e$ R set metabolism random 1 + metabolism-low- g/ J! K' }0 s+ _8 O
set wealth metabolism + random 30
% I# k, S( L/ R. n' E set vision 1 + random max-vision0 g0 P! W$ |* m. f7 l; p! v+ u4 m
set wealth wealth + Wealth-inherited-low ]
4 X+ R" l( N0 ~; U# ~% \4 y1 n [ ifelse (wealth <= (max-wealth * 2 / 3))
! J" n( T9 e* X1 \# Z [ set color yellow
6 G" u; t: i& s set age 0/ @; b# V& X1 _1 J" A
face one-of neighbors4
! [" F4 ?2 r/ T/ d8 K" } set life-expectancy life-expectancy-min +
2 m( g/ a9 N- G% N random life-expectancy-max + 1
" s+ }" Q4 ^4 @+ v1 M$ @* a7 ] E1 G set metabolism 1 + random metabolism-mid+ d# v! A& I3 P3 Q2 K
set wealth metabolism + random 30
' Y, ^5 B+ l a* y5 b9 r! E7 W set vision 3 + random max-vision
; }/ ^- f7 ^. [, M set wealth wealth + Wealth-inherited-mid]9 I2 o- O! P# E% ~
[ set color green
/ [ B; d8 k7 \; m' R% o, W% G4 `3 K set age 03 w/ l4 t8 D9 r- I) ~
face one-of neighbors4
9 J; k, @! K& w set life-expectancy life-expectancy-min +" ^& M! b- w/ h+ m- J3 ]2 n5 R$ Q, W
random life-expectancy-max + 2
# c0 h i% Y. e set metabolism 2 + random metabolism-up7 D$ \. u# `2 u
set wealth metabolism + random 30
$ Z+ u# @. `- s4 j9 g9 f set vision 3 + random max-vision
: y, n. b1 y$ J% j6 A1 W6 e set wealth wealth + Wealth-inherited-up ] ] * f) M/ G/ n' {
. r1 {7 {/ v& K! e! s" v
end
+ ~ Z: v9 D1 ^& ? oto set-initial-turtle-vars-wealth! s# u# ]$ N9 t
let max-wealth max [wealth] of turtles
) V0 D: R5 y; S% z9 g set age 0
+ E# z$ B7 U# C2 J* P face one-of neighbors4
4 @' f- P6 U" L set life-expectancy life-expectancy-min +
u" Y1 i" U& T/ K7 l0 l1 y D/ V+ B random life-expectancy-max / I; d% f* u9 e. M; s5 f$ u
set metabolism 1 + random metabolism-up! m N8 l4 s; W: N3 t1 n
set wealth metabolism + random 30+ g" C8 h4 _& w( D
set vision 1 + random max-vision $ p. }* ^4 M) Z2 a5 w' u2 Q
end
' R2 i. k5 e" }2 hto redistribution
' P2 f6 `2 c7 v- L: L0 h% U: }let max-wealth max [wealth] of turtles
3 H( X% Q- o1 D6 q( hlet min-wealth min [wealth] of turtles3 z9 H+ A/ U4 H; B+ U o4 E
if (wealth <= max-wealth / 3)4 t5 E5 E' p! t
[set wealth wealth + Low-income-protection ]0 I' c) S2 z( E6 \# n
end
, W/ L# u9 w4 A. W1 ?$ ]
, E2 n% v/ C, X) M, s+ ato recolor-turtles( C! `, Q4 n" @ `4 B5 f
let max-wealth max [wealth] of turtles) u+ ^6 ]! c( |# k# v: g
ask turtles
# s4 P+ a! F n* [' { w0 p9 D8 F0 f [ ifelse (wealth <= max-wealth / 3)& x0 S4 O0 u4 K& j
[ set color red ] |9 v0 N" R$ \
[ ifelse (wealth <= (max-wealth * 2 / 3))
' Z" K; @* E& D8 S+ s4 h1 W [ set color yellow ]6 B- [# J; j4 r, v6 V
[ set color green ] ] ]
- V; j+ z) F. _( t& g ask turtles [ifelse show-wealth?
3 v7 h' u: Q- _9 f# T# N+ h+ c [ set label wealth ]
1 A7 L& ? u3 l9 T) h [ set label "" ]]( C. j, X% A- \7 e
end9 x8 t1 ?% b2 K# i" K/ c
3 T9 u; J7 S# y5 y2 F) Q yto go$ F0 d- P. d6 e
ask turtles( g; E$ w3 v9 z0 O. t
[ turn-towards-grain ]
/ w9 r7 t% r1 w* s' e, T% x: g; D! |8 {- ^ harvest
3 k9 x. Q) K% ^- ~- ` ask turtles
+ l8 M: ~: s- m3 y, o; ]% C [ move-eat-age-die ]
1 ^( x D$ ?+ @( l5 S C recolor-turtles. [/ |0 `9 @; z6 G6 w
if ticks mod grain-growth-interval = 0
0 y6 T9 d+ b8 C! Z4 z9 y5 k( O& `9 n [ ask patches [ grow-grain ] ]
3 H: o( t( t3 {' a b8 q# [ % R( r. v% K- Z1 ^ S y( Y
if ticks mod 11 = 0- e/ B) _5 m% Y) g B7 m' `) j& w
[ask turtles
5 U2 f) q5 E2 C) u; [ [ redistribution ]]+ W5 f7 i. Y( i
if ticks mod 5 = 0 |" S0 E7 q& ~3 V/ ?8 ?( e
[ask turtles
: N9 N8 G7 V8 X8 y1 e [ visions ]]
& U p5 e/ _0 ^! v W0 d! N+ i tick- g5 `) p( X# H! Q' z0 @" G# |1 _
update-plots" I5 |1 D& n2 W! T: R
end. G8 p }3 j& m5 d; O( w
to visions/ L6 E' A7 H$ H1 C. ~$ r9 \
set vision vision + 1 9 n# ?2 z/ r1 U: b8 m# f: B( \
end
" @$ N% e8 L, L9 M, @+ }% R: x, E8 u0 D) A6 U& E7 [$ r9 c
! `% D( u" G) p' }
0 ?: l2 t5 Q) ^, @6 M7 Q$ Dto turn-towards-grain : J1 Z! g7 ], b
set heading 01 F" u. v. P, [0 ?( K
let best-direction 0
* L% [8 f9 G' t let best-amount grain-ahead
5 C, I# ^: @9 ]$ F7 j& t. w F set heading 90
% r& Q0 F' Y+ r6 e1 B2 T) p6 o if (grain-ahead > best-amount)
- @. W( U6 n! r [ set best-direction 905 U$ l: z# A2 ~; ~2 }* C6 {+ |
set best-amount grain-ahead ]
& f$ }4 Q# W4 l3 ]9 B6 X set heading 1804 H6 x4 y% {5 |7 M! ~! E5 r+ [
if (grain-ahead > best-amount)
$ |" j" b3 {7 V- o% r% ] [ set best-direction 180, h2 G# w4 M& P7 `+ `" Y3 g
set best-amount grain-ahead ]
7 [3 B9 I$ K+ d& a8 D set heading 270
6 d$ J4 ]8 _7 I$ l if (grain-ahead > best-amount)
2 ?. f" |5 B' E+ X [ set best-direction 2709 h# ]# a7 ^8 V: M! Z: B, |0 B
set best-amount grain-ahead ]* O+ v1 E4 a# c6 E q0 ]
set heading best-direction0 ^* ]- _6 S1 t* j2 J- L) d
end7 @# J0 Q4 U2 P
& m' O4 N3 L z* w) b
v2 Z' e* ~ O) ]
to-report grain-ahead
3 R5 V3 T3 Q/ l7 R2 x let total 0
5 l( t4 W8 B+ Q6 r* g let how-far 1* L. w2 f! Y7 }' K8 v$ h5 o2 c( T; l
repeat vision( I8 r% y9 s& r% [: \% Y
[ set total total + [grain-here] of patch-ahead how-far* Z F7 ?6 D$ k; j% J
set how-far how-far + 1 ]
; l% [" d+ A. ~ report total
; c u1 X/ f" z8 C& M/ \end
" u; ~/ ?$ F* |* z/ t
A, N) {/ c2 }to grow-grain " B1 R# v3 E. G- Z
if (grain-here < max-grain-here)) [- p3 N, u3 U$ y7 n$ m1 X3 C
[ set grain-here grain-here + num-grain-grown. s K g2 T, G
if (grain-here > max-grain-here) , N8 k' X! }$ n2 k2 r
[ set grain-here max-grain-here ]
. Z; L% I/ O* [; e2 a& [ recolor-patch ]5 g1 _0 W& y$ D0 t( `7 h
end
; u' ~1 T# d0 O! J6 [to harvest7 C! s8 P( N2 [( o/ e$ B
ask turtles7 ~8 _7 `: `( A6 _9 J& z
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]5 x6 Y; Q7 x$ A: V1 L$ X* f
ask turtles* M& D7 p) D0 @8 |) J7 S( v
[ set grain-here 0( q9 P: t. f0 s- K4 w- n$ @* R* ~
recolor-patch ]
5 a; i# i3 v, y* I) f
1 p% w2 v; O+ Vend" c/ l' z# r* z2 Q% C. A
6 Z2 x. U) j) K4 b& D8 B/ Dto move-eat-age-die ' e3 ^* a3 I- ^& d3 C4 |
fd 1; X. a4 f1 O0 \3 O0 a- t- `6 Y$ g
set wealth (wealth - metabolism)
8 s- @, c4 p; e3 m set age (age + 1)! C: H* p3 _" C* C Z* ]
if (age >= life-expectancy)" w5 o* }* }, k1 `2 F+ @1 V
[ set-initial-turtle-vars-age ]
& E$ H/ P2 r" p( L* a- U" b if (wealth < 0)
}: J2 m6 k/ L: Y) U [ set-initial-turtle-vars-wealth ]2 Z$ F: c% O/ ^: d
# y% A2 j' x; N8 w
end8 t, p. [6 |5 [8 ~4 [
& `9 H( e+ Z3 h3 z( r. B0 ]$ f2 J2 k0 G
to setup-plots
1 n1 A5 S! _2 X. n3 v set-current-plot "Class Plot"
( P# \& D) O( q K' r, |* G* _7 T set-plot-y-range 0 num-people
7 G" k' i) ~9 \ set-current-plot "Class Histogram"
9 S* n8 [4 ?& m) I* ] set-plot-y-range 0 num-people
9 C' W/ f* H9 m1 Kend5 @/ f( @: c; S. O
4 L! B6 v; T6 W7 j0 I1 N) W: ?7 Eto update-plots
7 ]; L6 l# ~6 \2 ?2 w+ S update-class-plot* q8 G2 i9 E2 w
update-class-histogram5 l7 k7 s6 b% }, n+ j, {
update-lorenz-and-gini-plots
. @5 r; Q1 S' o1 |end
- H4 S, c2 }" d- S6 v: ?8 e. m; C1 ?; h, R
to update-class-plot
' `9 ]* `( g1 R set-current-plot "Class Plot"
9 ~) X, d: X6 Z! d% t set-current-plot-pen "low"' O) M' x( w7 n0 n2 _7 r
plot count turtles with [color = red]
# C" v4 Y4 g8 r set-current-plot-pen "mid"
6 F' a& y0 q' \; \( a: z) C/ \ [ plot count turtles with [color = yellow]! f; R5 ~: c# F
set-current-plot-pen "up"
. b7 o, G! _' n. T& j( ? plot count turtles with [color = green]4 ^( b1 _! n/ o4 t
end
1 F Y. t- |$ s, j f7 @7 e7 f$ F% H, u# E
to update-class-histogram
: P( P4 |% X0 c; i5 z9 D set-current-plot "Class Histogram"' w* t) v. Z5 q7 C8 H& C& A
plot-pen-reset% R+ x2 k x0 d. F2 l0 K
set-plot-pen-color red% t& Q; ~6 {5 G9 Q3 K4 @9 |0 Y
plot count turtles with [color = red]
, h' o5 d8 @1 k6 q5 c0 i6 Q set-plot-pen-color yellow
! N S* T, l' X: l4 w3 ]5 m plot count turtles with [color = yellow]* r, I5 D4 _: q4 C
set-plot-pen-color green
) s9 n1 ^) t) }; w9 w+ _ plot count turtles with [color = green]
$ I8 x1 ?" }0 p/ x. v/ r4 {- L" Tend, c& {1 X& n' _' }; }$ [
to update-lorenz-and-gini-plots
% P: {; [8 j. X3 n4 q$ D set-current-plot "Lorenz Curve"
8 e' S9 j2 w- V8 A$ ` clear-plot
, d0 @4 ~" z' e* M# d+ _ [
, `' m; |5 Y" i$ o set-current-plot-pen "equal"; N* T* c" J: W- S
plot 0
/ `% {) s$ F( M; N- b/ J7 U: S plot 100; B5 i6 j0 f: }& k3 z$ S* _
5 v, N$ Z: u. g) e m* | set-current-plot-pen "lorenz"
, | W5 t$ S) s$ a! @% }! f set-plot-pen-interval 100 / num-people. A' @, E- O, T
plot 0" g' J* o' E% Y: v9 x
{% R- y( y9 e G/ W let sorted-wealths sort [wealth] of turtles
4 Y9 O8 a3 W2 u: \ let total-wealth sum sorted-wealths# ]) d: x( y' u( _5 p) G
let wealth-sum-so-far 0
( i$ D) H! L% z, z- Y1 Q let index 0
9 O Z* |. x& i+ l2 { H let gini-index-reserve 0
, A u+ v* f/ h! Z& }5 I# ~& p. l1 o8 h; J6 N9 g2 h9 O; v& n% ?4 ^
repeat num-people [$ X( g) s, P/ X, _3 k+ }2 g
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)/ N' |# H" _3 i9 W+ Y# ^
plot (wealth-sum-so-far / total-wealth) * 100
4 c$ @# t, s, ^ Y set index (index + 1); r& W3 w$ y& a; A) C
set gini-index-reserve) N% U8 c8 n, a1 c' I9 _: {* L9 d
gini-index-reserve +/ J1 z: H: e2 \9 o' U
(index / num-people) -) l% K8 a& E3 N8 ]
(wealth-sum-so-far / total-wealth)( n+ S/ y7 C2 U& Y% M
]
4 ]+ E6 K6 W9 S; N' }! ]1 y# Y0 |6 W
set-current-plot "Gini-Index v. Time"6 t& z) _( K% V0 i
plot (gini-index-reserve / num-people) / area-of-equality-triangle
; }- Y f6 R& l& \( T b3 Tend5 {" N. Q2 N; t0 ^
to-report area-of-equality-triangle/ h! T- @) l0 `. G% A6 _
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
. [: U" T+ F h/ @; b6 {+ v$ ?end |