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 F8 W5 T, O" V$ b$ iglobals# t% \. B4 K& E! D" R% }9 o
[
) v0 u6 ^5 o2 C' Z0 Q f max-grain 7 ^4 @+ ^$ l/ I+ u1 t
, Y$ b; h- k. r; X6 o]2 ?4 ^4 a+ t) h m. y
1 T5 {* d: N5 ]+ W& C% D
patches-own
: p0 g" X8 m, ^5 ], \- Z* {[
& Z4 n- C" @2 T grain-here
: ^5 ?9 C5 A' O# c5 O. k4 Z) c max-grain-here 4 {' J) s: t0 [* W) [5 Q
]/ y+ B/ v) {# @- f& T( B2 F
1 K% O7 Z% P% \ X$ v* k6 N4 Rturtles-own
4 T' n' W9 |4 s8 L[0 b& L0 r" j. O! I0 Q5 J Y: A
age J9 y4 ?# c/ O1 k" t Q6 l( k* e) e
wealth
]8 B3 p% b1 ~, ] life-expectancy 7 s8 o( G: l, \% v$ V# p
metabolism
2 U# {) D" |6 r6 e vision9 N0 L% R1 M; ^" N
inherited 2 t0 {2 R8 M6 z
]/ N5 C0 b2 T2 q6 @
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to setup$ q t2 b0 K4 ?; B
ca& Z3 l" ~" K; v5 |& U
set max-grain 50
- @; _ M+ G- r$ e( ^) M3 ~4 o setup-patches) u/ r/ l5 J# u5 b8 }& K
setup-turtles
0 y; J% F0 L4 t. ?: i- ]3 Q. J/ o setup-plots9 W( x3 B8 L3 i; b
update-plots
+ e$ }- {7 [& d* U# |) Lend
x5 @4 y1 Z" J) B bto setup-patches
7 y( K Z5 M: u1 c ask patches$ D$ Y- T3 L/ I- q7 Z) O
[ set max-grain-here 0
7 B) P) u5 H* z; Y& s0 W9 C if (random-float 100.0) <= percent-best-land
: y7 V( h F4 e [ set max-grain-here max-grain
# ]4 [; L; p( `+ W5 C# b set grain-here max-grain-here ] ]2 D7 q% a+ W% @" Y1 O
repeat 5
% e9 m8 A& S( c) m. I [ ask patches with [max-grain-here != 0]# l! |* u. B6 m, d
[ set grain-here max-grain-here ]
]' r6 w0 m# S4 k diffuse grain-here 0.5 ]
: Q, R0 k* [- a( P repeat 10+ W& @! J7 T# \
[ diffuse grain-here 0.5] . h4 e) W6 ~9 o7 j5 S9 R( [
ask patches/ j+ i- X, `" W8 g& w
[ set grain-here floor grain-here / Q7 J3 }/ u" [: T7 e' K. {
set max-grain-here grain-here ; z/ v/ L1 D( d& a6 C. I" F
recolor-patch ]
2 ]" d) g; m0 w" I% Z8 }end8 u9 M* E; g; M- T
to recolor-patch
1 u t0 q* x9 o" ]8 B, n, ? set pcolor scale-color sky grain-here 0 max-grain0 P" @ ]# a/ P9 X- V! ^. a* c- J9 H
end
" E) |. @6 w9 r: M# K+ Ato setup-turtles
8 U+ C8 z- ~. [) c w set-default-shape turtles "person"3 `1 H" V2 T+ I) ~- K6 T) Y0 L
crt num-people+ W& Q/ q- Z6 m2 Y
[ move-to one-of patches ! ] A6 O! I9 O3 K
set size 1.5
5 q) ^. ]& Y/ `6 c set-initial-turtle-vars-age
& _) J1 n/ w. [) Z! P6 X+ ` set-initial-turtle-vars-wealth6 a. v5 q8 B% z* U
set age random life-expectancy ]
+ c3 s* Y8 o1 t- O recolor-turtles- j6 L1 Z( T$ X
end
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to set-initial-turtle-vars-age& n, g8 o* ]3 ~9 k- R- a& W9 h
let max-wealth max [wealth] of turtles
- A9 r5 N8 c+ T
; \& l5 d1 w/ B7 ?( o6 W ifelse (wealth <= max-wealth / 3)
7 {! [6 f3 |5 v' T5 S" a" u [ set color red 8 Q, ?2 b5 T/ M" x! P
set age 0
3 U7 h, L+ @ e% E! b8 w4 J0 K: z* Y face one-of neighbors4 ; B V+ r; U1 X8 e; j, V3 [% m
set life-expectancy life-expectancy-min +4 U( i8 O/ M1 t; K2 j( Y
random life-expectancy-max 8 q( A' y* ^4 | r/ v9 w
set metabolism random 1 + metabolism-low N# w4 R2 B5 ]' l: a$ D* ^( O v
set wealth metabolism + random 30
$ j8 L* c, r& u6 Z4 A9 d5 S8 ?7 \ set vision 1 + random max-vision& |: E8 o( }1 c8 Z
set wealth wealth + Wealth-inherited-low ]
" H3 `! w5 ^- r: w' _( f( ~* X$ m [ ifelse (wealth <= (max-wealth * 2 / 3))$ m% t& U/ v5 a) E2 n9 n6 ?3 h
[ set color yellow 9 ?2 W8 S: r$ ^ k; f4 H9 f
set age 0
5 ^4 r7 R( T3 y' @ face one-of neighbors4
0 B" s5 y* ?; o( X# [( A2 ~& V5 u set life-expectancy life-expectancy-min +; a( U9 X: C; O, b8 E0 n
random life-expectancy-max + 1, E4 q+ ~& U1 N
set metabolism 1 + random metabolism-mid# P# F6 U1 p5 o5 `: i
set wealth metabolism + random 302 t6 @5 D4 k: T& F9 k4 @2 K
set vision 3 + random max-vision {9 g) o# @0 F# c
set wealth wealth + Wealth-inherited-mid]
: s4 K" i8 @* K' r" d [ set color green ! K% T4 q+ f% C( i5 @
set age 0; v7 E( c! F9 s! W
face one-of neighbors4
, [% w7 z# Y& O- I set life-expectancy life-expectancy-min +
- ^- e2 E4 K" A% w2 P) N% k( N2 p/ ~ random life-expectancy-max + 2+ H1 ^+ C& E; C5 J& E$ Q
set metabolism 2 + random metabolism-up
3 K V; a) ^' N' B set wealth metabolism + random 30
4 n7 q( d3 R( R& z* q4 `7 }; X# d& c- K set vision 3 + random max-vision
$ J- f4 c& u2 [+ Y8 t+ S' @ set wealth wealth + Wealth-inherited-up ] ]
" _9 w/ M# N' l6 X ! E; L; N0 E) V( n: G
end
) Y& }3 y! `1 p" l# Kto set-initial-turtle-vars-wealth
1 n/ g# s2 f) @ let max-wealth max [wealth] of turtles
+ P( p3 t* h7 |, B- i2 i set age 0
% H: A+ g+ }" _7 v S face one-of neighbors4
& h7 X& ]2 X$ x; {% |$ w1 d3 V4 c8 Q set life-expectancy life-expectancy-min +
! r$ q+ U. f) X+ I! R random life-expectancy-max ( z5 M3 M2 e# d* T8 r5 f* \+ z4 P
set metabolism 1 + random metabolism-up) X9 U) j5 A9 B, P5 V
set wealth metabolism + random 30
0 S+ z0 Q" q. H! P7 H' n set vision 1 + random max-vision / N0 V8 n' [& [) W5 L
end8 j1 u! k/ }, N) Y7 s
to redistribution% F; D8 t; n0 W+ [3 m7 W8 K0 M& ?3 x! a& S! L
let max-wealth max [wealth] of turtles
6 A: w+ J6 F9 V y" q0 Ylet min-wealth min [wealth] of turtles0 m$ L9 C& }& I6 y) J
if (wealth <= max-wealth / 3)
2 `: j8 j( y& S0 ^ [set wealth wealth + Low-income-protection ]- \8 J% [. b' x4 G3 J0 S
end+ P5 H$ O4 M- `' i! z" S/ [
4 ?& N9 ]& X1 A- T( z3 h- i
to recolor-turtles
4 ~& k% E4 P$ o: W let max-wealth max [wealth] of turtles
' h. V E4 @) [8 V: M7 g- \ ask turtles
$ D5 `7 H0 q: \2 r& |; j0 C) u [ ifelse (wealth <= max-wealth / 3)
G& w7 A+ s1 ]5 T' B5 F" y [ set color red ]1 j0 ^0 s n* r& T( @
[ ifelse (wealth <= (max-wealth * 2 / 3))) u/ O2 D2 n h/ L% [- e
[ set color yellow ]1 ?+ @+ B W' ^( B
[ set color green ] ] ]
6 _/ F) }8 Y# z2 A- D+ h6 G ask turtles [ifelse show-wealth?
& K( D" L, f+ o. P& T- K: p1 J- j [ set label wealth ]9 A# D5 T8 d! g
[ set label "" ]]' p x2 Y5 p) T" T& H2 R) B
end! _# x: T+ h% b1 Z5 Y. o
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to go
, |1 d' l. x! `: m ask turtles
; u8 h: R, W/ \- [: Z" c [ turn-towards-grain ] ( K3 Z+ B g z8 ~7 o) E& s
harvest
- s/ C8 }4 d+ j3 z ask turtles) ]6 `# b2 X5 [. `3 X" O( @, Z
[ move-eat-age-die ]/ i9 C! w3 D/ x7 w l2 u% o: U( ^) [3 `. `
recolor-turtles
; k+ ^" k/ s- \) P; S4 @ if ticks mod grain-growth-interval = 0
, w! S7 B+ R7 _' J Z- M1 O2 p* A [ ask patches [ grow-grain ] ]3 m5 y W3 D" h/ J2 e
+ n- e5 _0 F5 w6 |' E if ticks mod 11 = 0( i% z' K/ o% o% E
[ask turtles
% q* F/ r! u' p) o8 c7 g( T) s& N [ redistribution ]]
0 M2 ~. Y* R6 q* J# V' W6 W) W if ticks mod 5 = 0% r2 S4 s9 n% {) [- ^' a7 }3 I) ]6 O3 A
[ask turtles8 d- a3 K0 ^% _# J& h1 P6 R
[ visions ]]
7 D g9 K$ M1 ?) ~2 ` tick
: l% f& }/ d9 T: q) P3 Q update-plots$ C# A$ k4 u& m" q
end2 R& v5 h" w- X% S1 d
to visions
6 `. x5 v5 z+ M7 p& u set vision vision + 1
8 K6 W, k7 H7 r9 e, d' {end* o$ k8 ]9 o; I. @! I( y( W
8 _) |6 x- N Q
6 x2 R5 m- i7 g. a
0 Z8 t% Z4 w( ?to turn-towards-grain 3 P3 b. g5 ^0 Z+ T" l
set heading 0, V7 H6 A" H, f3 a
let best-direction 02 N/ H( G A9 P; _) G. ~
let best-amount grain-ahead6 @* Q) R0 y/ C6 C* L
set heading 90
2 z7 u+ p X5 {( P5 M2 S+ B3 B if (grain-ahead > best-amount)6 B$ \- c8 k/ x: [, T& A
[ set best-direction 90
# N) b$ I; C2 |+ l! u set best-amount grain-ahead ], E2 d+ e# t- W
set heading 180
4 E. r5 x3 s( D& b" D7 y' T if (grain-ahead > best-amount)1 g6 U" Z( R: `8 c) w3 e/ j, j, G
[ set best-direction 180
/ Z& p2 U$ o8 ]- z" ^/ e$ w set best-amount grain-ahead ]
8 v D6 v. O+ N; R$ X4 y set heading 270
1 O& w7 c& l! O if (grain-ahead > best-amount)
4 j4 G1 @2 ~( ?2 i- m$ N5 } [ set best-direction 270
5 E( o3 E) B( v T) L set best-amount grain-ahead ], U! S3 R( p, p
set heading best-direction
: @7 N7 D% r+ x' r+ n4 Nend
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) k0 H3 s% V' n9 g+ U- Q8 v2 h' i* Y* C
to-report grain-ahead , ~6 q9 U3 R! p" r) I( C
let total 0
7 m8 T0 c) s' ] let how-far 1
$ k% a' U _. A( M* x7 o repeat vision
4 ~6 {1 G8 G" c3 w+ Z M [ set total total + [grain-here] of patch-ahead how-far; j1 a* @+ s6 N, `. j
set how-far how-far + 1 ]3 J b' N( T; f' {# ]: ]2 J
report total; y: D. v. k' t
end
( F7 ]" V! Z0 k( Z# `7 `1 w& H
`' Q% q0 f Y2 e/ w/ S! V, \to grow-grain 7 d2 r* K1 g+ i# j8 a
if (grain-here < max-grain-here)
8 |. H2 \5 f' t$ Z4 J( b3 v7 H [ set grain-here grain-here + num-grain-grown
6 r1 f( b# \8 D3 F4 ]! a if (grain-here > max-grain-here)
9 q1 I$ x$ l7 v) x$ Y [ set grain-here max-grain-here ]
# T- ?! ~4 J* Z$ \ recolor-patch ]+ c7 V2 y! h# Y0 g
end/ A$ M# p. Z+ G- }' t9 k* L
to harvest0 e% [- Q7 g6 L, I. |$ N' A0 [
ask turtles
& g1 K4 E" T6 M: d+ Z$ X1 l [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
% n4 E }# a. r: B v1 ~2 ]0 x ask turtles. E9 t. r: M# Q$ I! y; w, N
[ set grain-here 0' P2 ~7 s; h- {
recolor-patch ]0 w% g, q z8 t
. ~( y. n3 j- E& X* A. N% Lend! d" m8 r1 ?% ~7 j: \
! D( c2 I& E7 zto move-eat-age-die
( O" W( f9 b" n0 j fd 1
/ r! \5 ^2 z+ N. |, x set wealth (wealth - metabolism)
3 }. {9 a1 f: K" {; B$ y set age (age + 1)
4 M+ b% |/ y6 w4 [ if (age >= life-expectancy)$ K: d) d$ Y. A$ y6 L$ b
[ set-initial-turtle-vars-age ]
3 T. Q% C$ r4 ?9 G4 B if (wealth < 0)) _" y/ i- q: O, H/ }6 s; z
[ set-initial-turtle-vars-wealth ]# e, J {" L- h8 r! p
. f* t4 j5 r) P# Hend$ r+ p* i1 u! i5 l) Q
0 q d* ?9 G/ J j. `; \2 S! [$ Z# y- w( {5 w$ ]* ]. [. j: s1 D$ p
to setup-plots
0 S5 c% U; | ~ set-current-plot "Class Plot"
% M9 s- e! K4 \$ Y/ D+ B set-plot-y-range 0 num-people
/ G7 r; w' t& e9 m5 C9 l, T, \4 A set-current-plot "Class Histogram"
5 K* D- F/ Y6 `/ ^ set-plot-y-range 0 num-people
& @: _+ a. A$ k1 Fend
3 d x) A7 i. j5 Q$ I& F. T& u6 k; x9 O" N" o- W3 W# w a% V# V
to update-plots
: g: d8 Y7 K3 e; V' D f update-class-plot
2 ]1 J5 X7 }1 o6 D* Q- `; N update-class-histogram, r4 q* F' U3 M6 ]# x" K6 t4 \
update-lorenz-and-gini-plots
, Y$ |/ @. y: v4 k" [4 |end- N' D( [6 U2 p6 Y9 A, u
1 k0 p8 x. i6 N
to update-class-plot# y) F8 ^" ~- N1 K
set-current-plot "Class Plot"
3 Q2 h K8 w! o, J set-current-plot-pen "low"
5 T6 P& V! u+ y plot count turtles with [color = red]% g* S. q/ e7 }
set-current-plot-pen "mid"- V/ L" V3 l/ Y, w2 A# ~
plot count turtles with [color = yellow]2 [0 j% D1 _: R% s& d" N
set-current-plot-pen "up"
4 z% m+ W4 B$ [# l" X plot count turtles with [color = green]' M7 e7 S4 D6 D% y* G" M4 E
end8 m6 I/ V }4 @1 e& _
/ R# y* f: _8 f' U, j4 w4 mto update-class-histogram- [$ J4 k; P+ O, a( G
set-current-plot "Class Histogram"
5 ?' \! I" S& |1 ~ plot-pen-reset" Z. y3 k9 k8 B
set-plot-pen-color red
: Z9 Z% X7 A% X& c/ X plot count turtles with [color = red]
' g9 u% a& m9 E set-plot-pen-color yellow9 L4 p3 B+ Y+ S, i4 h9 }; p
plot count turtles with [color = yellow]
0 r) K: d, I, d6 Z) \ set-plot-pen-color green
" Z5 M& f9 w' I plot count turtles with [color = green]& o, J0 j! f& A) t* P4 ` b
end) K6 v" B- ]# Q
to update-lorenz-and-gini-plots- ^- H* R( Y- p/ t9 F+ y6 x
set-current-plot "Lorenz Curve"
( v: _% q; Z9 Z- A4 r. s/ m' h9 T7 p clear-plot, I# k$ v$ D; p" Z6 H0 h
3 r& i3 V5 l1 ^# N& l$ T& l% l
set-current-plot-pen "equal"
; v# C( J0 q/ ?# v, R5 W2 C; i" V plot 0
' t- \' _: B' s! m, m% h. l: }, b plot 100
A2 X' ?, @. A, c; B5 O! M1 z9 I
5 U1 m$ }2 O3 W set-current-plot-pen "lorenz", c2 m. \' l8 k5 H& ~0 Y- F
set-plot-pen-interval 100 / num-people
/ \4 j# d1 Q' O- F* ` C2 v4 P( B plot 06 l: v* F2 K- A% u
9 d+ u2 M4 i# k4 F1 V/ ?
let sorted-wealths sort [wealth] of turtles
' L* l1 P- K* p let total-wealth sum sorted-wealths
/ Q% P; Y# _2 i( S let wealth-sum-so-far 0
7 ]2 T1 n' J5 @& T let index 0: O, z5 X# H `* P _9 V
let gini-index-reserve 0/ ?7 F( u; `$ |1 E& I
0 t1 b0 ~& Z# H0 Y& Y' t6 D repeat num-people [
2 u. h7 x0 ]5 N9 o/ c set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)" {( K9 A) Y: J( H& b
plot (wealth-sum-so-far / total-wealth) * 100# m+ b) E7 ?4 p- A
set index (index + 1)$ n0 c& @* } Z, Z" I; M
set gini-index-reserve# V/ d1 r. \+ H
gini-index-reserve +: Z8 \1 p5 a- D D6 H: u) ~
(index / num-people) -
, A& g7 s$ b. B' \ (wealth-sum-so-far / total-wealth)
+ ?+ ^- D# ]2 B5 ?2 ]( D ]% }3 P* t; |: P* ]
9 Z5 ~! t3 k0 U# h set-current-plot "Gini-Index v. Time"# g1 s1 O; ] \
plot (gini-index-reserve / num-people) / area-of-equality-triangle
3 i$ ?3 f i9 Z$ xend
! ^: {1 s3 H1 w# Wto-report area-of-equality-triangle1 R/ g# B$ x! x2 l" ^+ i
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)+ U4 I6 X | g( ]. i# R
end |