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 x# ~' }0 U' L y0 g4 Y
globals
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max-grain
9 q6 j- A4 n3 U9 _
! G( E& P) K5 g( {- H9 r. G3 c] N- ~; R/ f* t8 Z2 d
; B3 J2 b( F+ n2 U' h6 q/ b3 s% Opatches-own
) O7 Q" w3 ~3 y6 c% |/ }) h# ^- h[9 J$ F8 I. _2 n+ G
grain-here / y; m8 [: F- A8 B7 _6 T
max-grain-here * x/ @2 E9 g! F& q
]
, p6 d8 c _, c8 g5 H* e7 G- I! d$ e2 y4 E) I0 H* I
turtles-own
/ Q, j' ?/ e- {- S$ `' `# R- E[* a9 K' r7 Z6 u' W3 o& ~% _
age
3 ~4 i R0 r. ?; ^' i8 i wealth ( E$ `& n- W! R% P) v
life-expectancy ! C7 H/ d1 f. J0 d2 `8 ]
metabolism ) {) Q8 r$ `1 j2 U5 S* I5 I; C6 ]9 w
vision2 p9 l, a& T4 b5 S# \
inherited
% }- k6 Q( Y" R( v' O]% D4 L! a3 J' M: _
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; ]0 u- w, v) N3 G4 [to setup
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$ c( L3 ^( B. Y9 Y' c* U; u set max-grain 50$ k" R9 k3 Q( \' C
setup-patches6 {% q5 F9 [; T
setup-turtles( n4 Y! L4 A# h% D( P) I
setup-plots
6 f' L% Q/ J! d P! \+ Y update-plots t& U7 j( C4 e; y* Z0 |( S7 h) m
end
. ?% w: v5 i' S. Uto setup-patches$ i# J1 X: w% s' v- E% |# E
ask patches4 X+ M( @8 l5 _ o3 x1 c+ i
[ set max-grain-here 0
1 ~) i. ^7 L* W if (random-float 100.0) <= percent-best-land* t5 `( f% c/ ?4 ]/ [
[ set max-grain-here max-grain
. R7 A2 ]+ p/ ^7 f9 t% N3 j: M( d set grain-here max-grain-here ] ]3 U/ \1 Q& T' Z1 d: H/ J
repeat 5& l5 G2 g; _% g2 H: F3 K o
[ ask patches with [max-grain-here != 0]
6 O1 q! {9 y- P% ` [ set grain-here max-grain-here ]7 H$ I" j# `) G6 a4 n1 h5 Q
diffuse grain-here 0.5 ]/ C. d* ]1 y: {6 e. D4 t
repeat 10# d% ? X- v- ?; c8 y
[ diffuse grain-here 0.5]
2 `3 c& ^! l! c) a* t ask patches9 X) ]" m. ^) Z1 x% ~0 S. ]
[ set grain-here floor grain-here
- l, |( A2 `) _" ?$ Q- t4 H( Q set max-grain-here grain-here
# Q: i3 Z( }# s4 D, e4 |, j5 b recolor-patch ]6 H" K6 t' O/ ?( B) T- G
end
) ?- }% n* v3 V. pto recolor-patch / `* @/ g$ z3 u( G3 G) O W
set pcolor scale-color sky grain-here 0 max-grain( s5 ]2 X+ j, K0 y$ c
end$ ?. l4 P; t- j0 E! b4 \& F0 _
to setup-turtles
) r: y; D; i6 Y. E1 x+ ]; } set-default-shape turtles "person"3 L3 o9 `& O9 U n6 ~
crt num-people
( N" v* |. d- M5 s. r& x( B [ move-to one-of patches 6 W g/ c2 W' t* \5 F9 ?
set size 1.5 2 `" x! u4 _: J! y% Z, ^& C3 a
set-initial-turtle-vars-age
* _) W# f8 j1 N9 c2 Q6 y set-initial-turtle-vars-wealth
8 t2 W" Y' L* [/ |! }* B8 D0 l; S+ [ set age random life-expectancy ]
/ Q, O6 v1 I/ \: B recolor-turtles
6 q9 {3 u7 _6 O, h3 Aend
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! I1 J( ^% L/ Nto set-initial-turtle-vars-age: v. {+ F( x* `3 F2 U
let max-wealth max [wealth] of turtles
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# X! |6 V5 ] P% `/ y2 P ifelse (wealth <= max-wealth / 3)1 O! z. r9 |/ L% o' p" V3 g" }
[ set color red 6 f) m: U8 k/ I! F
set age 09 _; b* i# P( d) f" K7 k' u, a
face one-of neighbors4
8 a1 o; t1 Y `4 s5 n R' F3 n set life-expectancy life-expectancy-min +. O+ B- Y8 w; e) M3 [3 }
random life-expectancy-max . ?8 P+ e7 K2 [$ Q1 P2 K, X ?( a y
set metabolism random 1 + metabolism-low
8 G$ I# l/ Y4 z! `7 M8 l9 C+ z8 i set wealth metabolism + random 30
4 X. }: E- M& e9 _# w% Y set vision 1 + random max-vision
2 J( B+ D7 i6 t# e2 H! l! ` set wealth wealth + Wealth-inherited-low ]
) {* b) M2 ?7 C( Q3 S2 Q7 y( H3 G [ ifelse (wealth <= (max-wealth * 2 / 3))
" o3 ?4 r) a u/ {) r5 d3 v [ set color yellow
1 J8 g9 ^" |0 M2 t set age 0) l1 j5 p9 Z; d# r Q" U
face one-of neighbors4
2 T7 {" D$ Q' p5 d# s s; N set life-expectancy life-expectancy-min +2 T; \/ t& P& U, q
random life-expectancy-max + 1$ H2 l7 Q0 [2 k8 x) L/ S
set metabolism 1 + random metabolism-mid
2 d9 H5 d0 W7 |: C- ] set wealth metabolism + random 30
3 z5 R8 H/ n( Z+ Y# z! d2 J- F! K set vision 3 + random max-vision5 T/ n \ W: r' n
set wealth wealth + Wealth-inherited-mid]
; T- d3 m. x, @0 P+ m3 ?$ ` [ set color green
p$ ^8 Q2 T' Z# G. \. v0 y# b. [ set age 00 e$ \* j5 i. C3 y2 g# z
face one-of neighbors4
0 `" \' S+ v; M$ N5 X set life-expectancy life-expectancy-min +: h4 n1 R( p. j6 ]9 f$ ?
random life-expectancy-max + 2- q T& f [- Y: B1 S
set metabolism 2 + random metabolism-up
* u: c' M* f2 v2 z set wealth metabolism + random 30
- A/ P. K" |1 |% w3 x4 j set vision 3 + random max-vision
8 m6 S4 \# }' [. b: L set wealth wealth + Wealth-inherited-up ] ] + Z4 l5 B# ^* g; ~
, b; n& \2 n2 a# w1 c, ~8 z8 I6 }end: g1 V0 f" S3 z( m9 A
to set-initial-turtle-vars-wealth+ L7 p4 K3 f% }8 q/ V
let max-wealth max [wealth] of turtles
% B/ |; j, O, R7 _8 Y set age 0
' L0 A% R: k/ ~9 v# I% y face one-of neighbors4 # v3 j4 \8 |0 R; K2 R. j
set life-expectancy life-expectancy-min +" k; g0 ^. V6 T" [$ C- X& A" ]& e1 n
random life-expectancy-max
' G& Q8 O+ [- @1 q# y6 l# a4 T* L set metabolism 1 + random metabolism-up
: B/ U8 U* C! m set wealth metabolism + random 30/ J6 \# D' C3 m) R* r
set vision 1 + random max-vision 3 C# }7 |/ d. o! E3 `3 O1 j
end' i- x6 K, ?+ D; R2 s3 z# V1 `
to redistribution
, }& a2 K& _; ~let max-wealth max [wealth] of turtles% k. n+ S& r9 r4 \3 \8 ?, ?* R
let min-wealth min [wealth] of turtles
% N n3 }( P5 g9 Zif (wealth <= max-wealth / 3)
, ]/ \1 v" V; \& y7 d6 e# |% r" X [set wealth wealth + Low-income-protection ]3 c& r( M' ]3 [6 |
end; c- s4 m$ A& Z* q: u
) X5 W9 ^! [' [( t6 n8 jto recolor-turtles
" W% c! Y+ g0 u! W/ X! E let max-wealth max [wealth] of turtles5 R+ w% B/ J* f8 ^! L. h
ask turtles8 n. n) v! [# g. e, v5 G3 z
[ ifelse (wealth <= max-wealth / 3)" b; d; ~; r0 L' A
[ set color red ]' b7 c) F; L% t
[ ifelse (wealth <= (max-wealth * 2 / 3))' y! f+ @3 f H, ?" I; u- D N
[ set color yellow ]4 _% c' J6 t7 t+ A2 v/ i+ ] l
[ set color green ] ] ]& l! E; W4 g2 a4 J: v" X
ask turtles [ifelse show-wealth?
, ~0 b/ q# x: C' t# ^ [ set label wealth ]0 p0 c( Z" p! K0 D
[ set label "" ]]- p9 W$ ?8 _! ?+ S# K) q- H
end
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9 T- N n: R. `, Sto go
3 f. ]- X% W7 W9 P4 N5 W- E ask turtles! |* t$ }5 Z: {* D
[ turn-towards-grain ] 1 A# v) b/ o( _" ~' E- W* g1 k
harvest! V' j0 Z5 r) x. m+ J, J0 v
ask turtles
7 T) Y8 A( }! V% h J+ L [ move-eat-age-die ]
& u; q) p" _- T, y recolor-turtles
: _: m3 I- [3 G/ v: q$ z if ticks mod grain-growth-interval = 0% ~' w0 w* t- C, P; [4 B8 T
[ ask patches [ grow-grain ] ]
, A3 s5 J9 H% s: l v
/ J2 i9 ~9 P. A8 D if ticks mod 11 = 0! C5 B3 g4 ]8 g, k5 p* d
[ask turtles* u$ K+ w0 H5 K ?: z& T
[ redistribution ]]
% q) j& I. r% ^$ L& @" l) g7 N& n if ticks mod 5 = 01 q K0 r" w% `: f5 a. L
[ask turtles) P4 d- c r& r* N! {0 b( w
[ visions ]]
5 S6 K; @" b' ]5 y3 m' L tick7 A( m9 r& ^$ j$ O0 A( K6 K X& F
update-plots6 F1 Q( F3 K4 x | _+ ~6 r
end
( H: C" [6 E* ^, }) f+ ^& u& N1 Z* H# P( lto visions- t" P2 n( z: C' u/ l
set vision vision + 1 ( B/ l8 Y* F$ h! }$ w& O
end
7 \' J* L0 h4 ]& M% f0 A, }
8 W# I, o" I0 e# o
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to turn-towards-grain
1 {( A) t3 y g% { set heading 0
4 a" S# ]6 U) N, ] let best-direction 0 c4 ^) ?/ }% W4 \
let best-amount grain-ahead
$ `) d! n3 Z8 k$ c( \- l, u% ?! a) I set heading 90' F7 V+ X! E5 j( s5 T
if (grain-ahead > best-amount)
. x5 `2 s% e0 Q5 Y; ?% P [ set best-direction 90& l7 q' J9 y3 [
set best-amount grain-ahead ]' z/ J: k$ B6 F; k2 C; n; F
set heading 1801 O4 i/ R Q6 n. k5 ~
if (grain-ahead > best-amount)+ `% I3 _ f+ Z+ e( ~7 l
[ set best-direction 1801 n: ]' D3 w( Z8 M6 [# s9 t; R
set best-amount grain-ahead ]
. J& _1 G+ R0 o2 t: X set heading 270
/ z8 x+ x* ?2 {- d! C7 R if (grain-ahead > best-amount)! U8 w" u/ ^* n) G; |
[ set best-direction 270
: n. B$ s t! P set best-amount grain-ahead ]% t2 |- H0 B$ u3 V5 O! |
set heading best-direction
7 C& W3 |; Z# B5 f* iend
$ }6 r) Z* N) b l6 H% ~ b8 S9 O: e6 t# j
7 _, i7 H! R, h* e( G: w
to-report grain-ahead 3 C! h5 r& G2 i7 w
let total 0. k, l$ F; Z( B9 O2 O6 J& V3 c
let how-far 1$ p" e9 [4 L9 ^. P( Q- m8 O
repeat vision
/ T4 S& x5 |8 g" n S A8 k [ set total total + [grain-here] of patch-ahead how-far s$ m+ C+ y' W
set how-far how-far + 1 ]
0 o8 ^1 |0 H7 b+ m2 J9 m report total
7 I) Y3 ?* B' `* k: g. X) Nend
- ~$ U! C/ I# @8 j# E
}/ l9 ?9 _6 V1 @& ]: b+ u3 ^to grow-grain
3 b8 ^% i) c5 ~* N1 s9 ^/ K' F if (grain-here < max-grain-here)% ]7 I9 u2 \3 I& h5 _8 N
[ set grain-here grain-here + num-grain-grown
+ A# b8 T+ B8 y( o, T6 d4 |; P' X if (grain-here > max-grain-here)
0 f& U- B0 a; m$ a0 E# _* s [ set grain-here max-grain-here ]
: v3 f J5 n! \7 y recolor-patch ]
& e& ]3 p( R' V. v6 lend
+ t4 e, \3 q3 T8 z* M% Bto harvest+ U2 T# x1 `5 \6 w7 j3 I
ask turtles* f' D- k: s1 T, u0 _: A
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
# X6 M! ^6 E0 b2 ] l9 H ask turtles
. S- c' U5 y8 K6 f1 x5 p9 i/ o7 b [ set grain-here 0
6 `; }: k. ?2 L7 U5 w3 R3 r+ T recolor-patch ]
2 Y% ]# W" C; Z* w' K+ Q
' Z, B0 C7 v, M2 i6 qend$ H6 Y& s/ P1 c$ J, }
+ v- c# s7 H- {% @" m( Gto move-eat-age-die / F/ f: L2 s/ j7 U/ X
fd 1
6 c, q9 D7 y9 ?( V; G7 h4 c5 F set wealth (wealth - metabolism)" T3 Y+ M% ~0 c: L* A( s
set age (age + 1)! D3 v- C: t* F6 g% P
if (age >= life-expectancy)! ^- U; \+ c, h9 i, M l- ]/ Q
[ set-initial-turtle-vars-age ]! N, n1 L) a; t0 t/ T
if (wealth < 0)) ^% K; L1 ^$ @- |8 E8 w5 H
[ set-initial-turtle-vars-wealth ]
, m& r$ m& c6 w4 f, n0 a
% D( S& c' r& [% o- X( u, gend
+ b' R7 J. b8 E/ D) D: O- U9 I! u R8 g9 Z' X
# k1 n& H: a# ], t8 ?; X
to setup-plots- R, X* F5 g* U0 B5 H; T
set-current-plot "Class Plot"
; \0 ` l) }2 q2 D3 d set-plot-y-range 0 num-people
7 M0 j' M0 q% _/ b$ [0 v set-current-plot "Class Histogram"9 V- `6 R) ^/ v! t
set-plot-y-range 0 num-people. b+ P6 V& O1 z) ~
end+ M$ V2 e& k' Z0 X/ A. p4 E
4 N! @* n( w: c% m8 `( V, z
to update-plots. v; ~! q' s8 b% n. D
update-class-plot8 @/ ~+ n8 m5 M1 l7 |+ ]5 g* R
update-class-histogram7 Y" `! A, d1 Q+ u) w
update-lorenz-and-gini-plots
5 C$ v* r% h) \9 a: Aend: P' Y7 y1 ?! ~2 @3 i
) k8 w/ T3 D% B" s( s, ^
to update-class-plot8 G/ D2 T6 X" V" f) J- l5 }$ @
set-current-plot "Class Plot"
7 h) C _' }" T( r7 w" }1 n set-current-plot-pen "low"7 |( j# ]2 N# C7 y
plot count turtles with [color = red]3 s5 G/ A) j: `7 Z
set-current-plot-pen "mid"
3 T$ f9 ~8 |2 S |# A* ~: O k plot count turtles with [color = yellow]
V4 X/ B7 y9 D3 ` set-current-plot-pen "up"
, S4 J- f7 y0 Q; r3 m5 P plot count turtles with [color = green]
8 w% ]& l' P+ f. a- Dend% S; |' t! w* g( Y
1 R0 T: m; q2 T( N9 [9 u3 Q
to update-class-histogram* N* y+ [) n, g, c% G
set-current-plot "Class Histogram": \$ t( k2 g, t% f1 f8 }
plot-pen-reset5 o7 }5 k) t' C
set-plot-pen-color red5 {# B; A/ p5 C& n3 \) n0 ~
plot count turtles with [color = red]: q+ g* n; K+ H0 T
set-plot-pen-color yellow. M% ^% b6 d; _- ^! @! h
plot count turtles with [color = yellow]
- H1 j" B' u9 j/ B7 ? A7 ^ set-plot-pen-color green
& e, F9 ^3 J4 P. o" r5 ^ plot count turtles with [color = green]
( g8 F' L: E% J$ M/ nend
% U/ ~6 V7 l C% Y' N; Q N, }to update-lorenz-and-gini-plots
" w& k" a' \, C2 l set-current-plot "Lorenz Curve"
' u' n1 \8 V! X7 Z; b9 ` clear-plot
- p. m; t5 Y' i1 h& b- L4 N- r7 _4 E2 U2 F
set-current-plot-pen "equal"* j; C2 }- ~; c! ~8 ?) E7 X" p
plot 0! ^" p" G1 T# {+ x# d6 O/ j
plot 100: C Q' G$ T" _+ @2 y
2 {( b: T- B$ Y9 W ~
set-current-plot-pen "lorenz"
( ?0 S- p, X* V d M. q set-plot-pen-interval 100 / num-people
5 S; X; R. x. X5 k( S plot 0
5 I& n9 G, o r% ]3 @7 o/ y+ Z
. Q. v d1 F5 ] let sorted-wealths sort [wealth] of turtles
0 j2 [( C( F% O6 a" Y let total-wealth sum sorted-wealths4 J. ~; O8 M* R' F
let wealth-sum-so-far 0
% a8 s) E7 G, T( W% H9 O2 A& r: R let index 0
3 M# b# v4 N4 v& x( R let gini-index-reserve 00 v* Z% f Y2 p. }. Z& y0 S
0 T3 F( S* q/ v! H- ]
repeat num-people [
6 ~4 D0 Y( M U, o* T set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)/ o; \" i0 t( d" R- K1 \7 B S
plot (wealth-sum-so-far / total-wealth) * 100
' o' p6 c+ c7 X, v4 f: a5 l set index (index + 1)6 Z, m8 `/ o& N( j
set gini-index-reserve4 p3 l$ f6 e: t4 U2 ^ K
gini-index-reserve +
' V" S, a4 [6 z/ l/ F! ^ (index / num-people) -
! r L: ^6 i) z- \ (wealth-sum-so-far / total-wealth)( B# _/ |7 ^! J/ \( N) v$ m6 W
]; ]3 z- H r" ~8 E+ Z
1 `& K1 ^$ ?, S. h set-current-plot "Gini-Index v. Time": A f' v4 ?/ X. I
plot (gini-index-reserve / num-people) / area-of-equality-triangle( y8 g- V; ~1 O, I0 r3 o3 v8 V
end' m, F/ x' [& e8 F) K
to-report area-of-equality-triangle
. z/ x+ K, D+ Q$ D report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
5 b* T! z5 }: x' t9 e/ U, ?end |