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# U/ V% H% o4 B% uglobals6 J G+ D/ {! M# J1 C2 g' e
[+ V" d u3 l1 b) H w- X, M
max-grain
8 B! e n! t$ u- W# E9 d. u ?" V9 H$ ?- Y8 G6 O5 Q( z9 c
]
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! `' }, \5 |8 I% [patches-own
% U, K5 F' f, |4 \. e: [[( j3 y# [8 g! `* ?( a/ O1 B
grain-here , U. n2 T r6 p: a4 @0 |9 \
max-grain-here
/ Y3 |; o/ P, j]7 a, I, k# M' I0 j
& ]4 k, _* n) \/ a0 V( iturtles-own* X- t8 @# h7 F( {8 n
[
" t$ v% v. Y1 V% |( J4 n age 4 A( O& z1 O: f- z* G
wealth , g+ W H3 V3 t0 E" Q" o
life-expectancy 5 L2 u/ h3 D( ^( z( h' Y; @* |0 n8 J
metabolism
1 X- g" B) F: q vision
9 p1 \( o( A& t8 D' O inherited
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8 z0 n, x7 }; f1 l* e. k/ h. J
" a/ [' k! W6 ~3 x A7 I; X& u+ d
to setup9 T/ v& J& f! I% |+ d1 `2 v8 o
ca
! Q9 r! _( }3 H4 P" B: S' n, ^1 a9 ~ set max-grain 50# B4 | x: C7 l' S1 N9 U
setup-patches
1 l- d! A' d5 {' C setup-turtles
% }9 |, T. _# n# l+ s setup-plots
/ \* t1 v) |# p" L" W4 W update-plots
+ h( F+ e: z. K* |: T3 w' d, Cend) B& ?8 R: ^' K8 r: Y% A
to setup-patches8 O9 R# x$ _) v
ask patches: U5 n! X7 u) b6 O3 y/ D
[ set max-grain-here 0
+ @+ l" f& m: e6 @6 q if (random-float 100.0) <= percent-best-land p) P: b( n5 }* A7 r7 W+ X
[ set max-grain-here max-grain
4 B# l0 h& Y5 N7 ]1 _ set grain-here max-grain-here ] ]7 D1 }- _% h& A) q# P3 @) K
repeat 5 K+ ~+ C( F( t3 P) I
[ ask patches with [max-grain-here != 0]3 Z7 p7 Y9 _$ a# v- D
[ set grain-here max-grain-here ]
, g4 w6 r6 P7 s( l) }9 s! S7 f" q diffuse grain-here 0.5 ]
2 e5 h/ L: b% H0 p2 \* [ repeat 10* q0 p" @/ ~2 C* o& y
[ diffuse grain-here 0.5]
" k3 `; {1 M7 X ask patches" K7 Z) p7 ]4 ~8 R/ Z
[ set grain-here floor grain-here
" h! L2 q" X9 I8 ?0 u* [ set max-grain-here grain-here
6 T! N5 `$ Q0 p/ E* ?; b+ Q recolor-patch ]
3 K) d9 H8 h# A L' Q% E5 fend
6 @3 O" Y5 F, F. Qto recolor-patch
7 o% X$ {$ |, H# a1 M# P set pcolor scale-color sky grain-here 0 max-grain( K9 z4 k/ G! X! B. n5 F
end% q# [) n( A/ u ?/ r0 l
to setup-turtles7 H! |- G+ n% v( T/ {/ a0 V0 J9 Y& f3 S
set-default-shape turtles "person"
6 l2 a4 m# E# o2 D& s crt num-people
( E; V. [% \0 Q0 N; `! P [ move-to one-of patches * W4 }( ~4 d! u
set size 1.5
9 H! [$ @. g( v0 C/ E- u& r, r6 B set-initial-turtle-vars-age. H; u9 C; {, y& {, R
set-initial-turtle-vars-wealth
" b/ {. ?3 p, N+ s set age random life-expectancy ]& I: J/ X4 S; s6 \+ m5 S
recolor-turtles
# v* Q0 b; d( E- `! d% G8 eend- [8 [% \! `' i4 W# |3 R
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to set-initial-turtle-vars-age
& @5 Z8 V* I: u# m% ] B1 o& @7 E let max-wealth max [wealth] of turtles# T. v8 ^) Z3 T1 N( x
6 _& P! C; x4 {2 N
ifelse (wealth <= max-wealth / 3)
8 D3 Z0 z* L8 G4 o" [ [ set color red
- x% @! q. c( j9 D; G set age 0" m2 T' t3 e6 d
face one-of neighbors4
9 m) M' X0 R; H) S' J, e set life-expectancy life-expectancy-min +# n4 v0 I/ E: Q4 d/ i5 Z6 p1 i$ Y
random life-expectancy-max ' R' q- R1 b, U
set metabolism random 1 + metabolism-low
~/ J2 @# x* S0 I$ {* }# F8 P3 D set wealth metabolism + random 302 ?3 y( C2 T# _$ t& u
set vision 1 + random max-vision
+ x6 \% [: z: t0 E" O+ N set wealth wealth + Wealth-inherited-low ]
~: Q# `3 W/ w5 |* {4 ` [ ifelse (wealth <= (max-wealth * 2 / 3))
. n; N; k8 V, m' g [ set color yellow * g0 I$ ~* l) i' U' i
set age 00 V) I( [! d! H" y4 o' o% t
face one-of neighbors4
% p1 j" |5 M* F, _! m' l0 q1 b( P set life-expectancy life-expectancy-min +
. o5 W |" [) M; S, s& \3 N random life-expectancy-max + 1
l3 G6 j% w* q1 f1 [4 m* U! w0 x0 K set metabolism 1 + random metabolism-mid+ T( P e* R3 F" D4 s
set wealth metabolism + random 30, q( F% C5 r5 s+ p' M& }
set vision 3 + random max-vision& i2 Q; X0 t* K" Y5 o/ S5 A) R6 n
set wealth wealth + Wealth-inherited-mid]
" j9 ?6 Z- D$ e9 V: [ [ set color green . i8 Q! w. j, d
set age 0
' M9 R6 s; @5 [. Z face one-of neighbors4
& `& l2 u: m2 }, i5 M3 o7 U set life-expectancy life-expectancy-min +
?$ R, Q9 Y# W0 m random life-expectancy-max + 2% f* s) I/ t/ g' t" q1 C5 F0 w
set metabolism 2 + random metabolism-up9 k- L/ E, x) i/ C3 ?
set wealth metabolism + random 30! t9 L' S% E7 M& I) k* i
set vision 3 + random max-vision' q5 h+ V1 g2 |. w7 A
set wealth wealth + Wealth-inherited-up ] ]
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2 R$ q/ |6 z) V( N7 q' v0 g9 ]end* }- V. P$ S9 T% F- a: t
to set-initial-turtle-vars-wealth
! m" H0 R J8 O* g* u D let max-wealth max [wealth] of turtles
) f) X7 e2 _0 z' n5 n# i set age 07 J$ ^, L4 A& d+ s+ e" W
face one-of neighbors4 + Q F/ g6 \0 F8 L7 J) B8 U
set life-expectancy life-expectancy-min +" C T+ j3 ?+ @2 U4 [( |/ Q4 j
random life-expectancy-max 5 Z) V3 \0 V8 f. Q) y4 m
set metabolism 1 + random metabolism-up
g! Z8 K$ m" z8 t3 o8 Q* P6 ] set wealth metabolism + random 300 }/ @; {! x/ F8 [ s
set vision 1 + random max-vision
, v( v; [8 @0 z/ j2 c) ?# T' ]end0 n+ z3 }, P% |+ F5 ^- b" V
to redistribution
7 P4 W8 I# d" I0 H7 u; `& hlet max-wealth max [wealth] of turtles# ^4 |: O+ V& g3 W7 b: g+ n/ I
let min-wealth min [wealth] of turtles+ n% T9 W* e0 x- _; t3 h1 U6 s
if (wealth <= max-wealth / 3)
' i; h7 A: V, P5 Z! d1 }; Z [set wealth wealth + Low-income-protection ]6 v0 z0 D8 Y* x$ Q0 c
end
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3 q: P% L8 ]2 S7 `7 G' tto recolor-turtles
, m) ]/ Q" {1 E( U9 @7 g& i& G! z let max-wealth max [wealth] of turtles
* _$ s. B1 A6 N# d2 e8 r! V ask turtles
& a5 ?2 e4 z3 i+ R- Y9 n [ ifelse (wealth <= max-wealth / 3)
+ U: A4 C3 T4 @9 R1 W. f [ set color red ]
1 k! y% E; _: H/ y J3 i* k [ ifelse (wealth <= (max-wealth * 2 / 3))
( S% ~( C3 p0 ?8 P1 p- m [ set color yellow ]9 _$ H9 v. i; J( _- c
[ set color green ] ] ]
6 Y# A2 }4 k3 V$ d5 j( E& {+ M ask turtles [ifelse show-wealth?
3 a! Q" V+ m/ |' n9 G [ set label wealth ]0 w! p+ O& i2 z$ V5 V2 U1 V+ K
[ set label "" ]]
/ g }# J% u0 Send
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to go
; O+ R, j/ M$ I ask turtles
! H$ B+ I$ U, }# z [ turn-towards-grain ] & f" Q- a- \$ p) q2 s: e' s/ a
harvest) ~ p- _2 B; L( F3 N
ask turtles
; [& B. C* C a [ move-eat-age-die ]# N* ^+ }3 B& X' L4 V9 L: v9 B
recolor-turtles5 W% w+ H* q) v# H+ j8 f& i* M
if ticks mod grain-growth-interval = 0
# O" j+ a3 I$ h* i [ ask patches [ grow-grain ] ]8 R/ b! B" x5 G. m& f
6 I. [7 [) l4 C" }
if ticks mod 11 = 05 W5 f% `% `8 j2 o! }- T- I8 J
[ask turtles
! B( {7 ~1 V! m+ R. E9 ~4 {$ m% O, T8 b/ h [ redistribution ]]
/ t' L& u& E8 I% W( L. } if ticks mod 5 = 0
" S- ?; _# l) ^, C" ^ [ask turtles& s2 y: K& a7 X' T) R) R/ s
[ visions ]]
+ X$ Q5 j c: i tick
8 T* z7 W+ D% T3 D3 Z& S3 Z) r update-plots
! E3 j* M7 v0 k1 b1 Q0 c8 Mend5 h% g4 Q* `7 V; H6 b+ l
to visions
; y+ e6 A8 Y! E( N' r) _ set vision vision + 1 , V8 ^; h. S3 e: I& E' ^
end
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- w" c) A- G; v# H& n* E2 X
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to turn-towards-grain 6 s6 M; A! R5 y( P3 m
set heading 0
- J4 z2 g' C1 z0 U let best-direction 0
! W4 }: \+ Y2 l let best-amount grain-ahead3 ^% Y% G3 V+ ~1 {* j7 P0 v/ q& X3 n# M
set heading 90
0 c7 j2 r! Q0 | if (grain-ahead > best-amount)
8 w, X3 z6 r8 ^+ r [ set best-direction 90* ?( s+ E; F) ^
set best-amount grain-ahead ]* F1 T# ~( `+ D3 i6 q
set heading 180
; D2 r0 d, p' i if (grain-ahead > best-amount)
* B) _) J* ]3 m% | [ set best-direction 180
1 I& V) U @8 e9 j( } set best-amount grain-ahead ]
. |& I7 o# ?" M2 J, O5 g3 I set heading 270 N* [2 l- i8 z; R
if (grain-ahead > best-amount): P3 ]! e- }- q8 b' q+ C
[ set best-direction 270
/ h. i" ]2 H$ O% p2 { set best-amount grain-ahead ]
. N( P4 }; i, `: Q- ] set heading best-direction
( \# o6 e5 c: {4 @) g: h yend
3 \) Q8 ~2 D9 h8 ] C2 q
0 k3 B V$ u' d8 P, j4 |+ A
) M8 u6 N: S! |! Q1 Xto-report grain-ahead
2 |, o1 A* M. c let total 0" k! q4 |5 \6 Z9 E7 O
let how-far 1
+ s7 G9 S4 S2 d repeat vision. v0 V- F' m4 v
[ set total total + [grain-here] of patch-ahead how-far. Q/ `$ s; F; h
set how-far how-far + 1 ]
1 D6 M8 `: Z/ K6 A# V4 U- n* u1 H/ d report total6 C& T A5 q* j- A2 t" Z
end
9 K6 h. M3 N2 E' } M1 L! X* K
- X9 c" `" K, q A1 U5 R. S' o8 `8 Ato grow-grain
2 k7 n! |; F, k' c' ?! p* s' n! R if (grain-here < max-grain-here)
+ M" E2 r j$ d' _* Y& v [ set grain-here grain-here + num-grain-grown
' E% O; L( N! ]: f if (grain-here > max-grain-here)
) Q3 p% X3 z* d [ set grain-here max-grain-here ]
4 W4 @' b- `! F7 \5 V' X+ h recolor-patch ]( N. K1 [5 g4 F5 M! q% j( [; ?
end' I5 Q+ h5 a/ M1 d
to harvest2 | g: R9 c; {* E) f2 y( N* s! Z3 q
ask turtles
" S" R0 M2 B4 g. S; c- w" I6 W [ set wealth floor (wealth + (grain-here / (count turtles-here))) ] {3 t- i! ~0 R, n( B7 {
ask turtles, {$ Z' v S4 f4 _4 a3 i' i
[ set grain-here 0
" J0 a2 V6 h' I3 \2 g1 |: R& l6 w recolor-patch ]; w) x1 ^+ F9 q
$ _! E1 {3 \! @( G: k# }
end Q( Q; h: M- U2 n
: Y: C! o9 l) X" B* q+ K
to move-eat-age-die % W# u6 E! a* I9 n
fd 12 J4 a4 P- k" r( n# \2 x
set wealth (wealth - metabolism)
: z1 L/ b: |6 x set age (age + 1)
+ x2 t/ ~) Y& M* C+ ?( g9 N0 R if (age >= life-expectancy): j4 u( T1 j z9 i; k
[ set-initial-turtle-vars-age ]
8 j/ B; N" E1 h) t9 [% K( ? if (wealth < 0)( w9 ?# U; ~' C1 M7 u- f2 T4 M# c, W
[ set-initial-turtle-vars-wealth ]4 X2 L Q8 x/ v" u9 ]. X$ N; d
' Y% w; p% }! n0 {0 }* |5 E
end, B2 C6 q$ O, _, F
! v- C7 d$ H/ g, X4 k
K! Y0 C6 b1 r; g2 L; e
to setup-plots. C3 m1 E4 ?5 w D9 F3 q
set-current-plot "Class Plot"
$ m S. u4 s( S/ m set-plot-y-range 0 num-people
5 G K7 S; n. \8 w, j set-current-plot "Class Histogram"
5 d! x8 T# `6 ~1 V5 z( B; d set-plot-y-range 0 num-people
, V# z. d, R6 L8 [end
$ e4 y# s0 w+ @# M
- s! V H' T8 r: K2 M: ]to update-plots
9 z B1 M: h. W" `3 d* L update-class-plot
3 E, I8 r4 }. ?6 b% e8 h update-class-histogram. E( O$ G( Z8 t3 V+ t
update-lorenz-and-gini-plots. N% Y1 a# M$ C! V- M/ D% I, _
end
' @ |9 M( {& }& V3 Y( t: E: _* ~
. q4 }. l+ X; T8 N% Oto update-class-plot
# y+ G7 ~2 Z0 G+ u set-current-plot "Class Plot"+ _0 U' j; f+ R9 a
set-current-plot-pen "low"" S1 x" {0 C' {( \+ ?7 N' A
plot count turtles with [color = red]+ i* l: r. G0 \) o2 o/ @# ~
set-current-plot-pen "mid"
$ R3 P; h$ r2 @" q9 A B: K plot count turtles with [color = yellow]% o% ^; e! E! u9 y N: I+ Y
set-current-plot-pen "up"$ _, x$ M1 `- \' I& D d
plot count turtles with [color = green]
8 _5 P f+ ?6 x% E4 @& Nend
$ a' Z1 R; z/ t& Z7 @3 V$ h- {3 N6 `6 p5 @6 T& N
to update-class-histogram
4 l3 M8 F" A/ x7 S set-current-plot "Class Histogram"
3 z R4 S: F0 Q plot-pen-reset _" y4 w3 k: S4 c
set-plot-pen-color red, W& m. c( w- M2 \) Z) a6 c9 x5 p9 } v
plot count turtles with [color = red]
& G* A8 f! x+ _+ d9 P& [- \/ O set-plot-pen-color yellow* o( N) E( f2 W! e" l; B
plot count turtles with [color = yellow]4 u& Z. Y/ L! |1 \
set-plot-pen-color green
1 e* ~5 Q T( W4 _" x" W( _ plot count turtles with [color = green]: n5 Z7 b! u7 O( M% ?4 L' m
end/ U/ j! |: C$ _- D# g
to update-lorenz-and-gini-plots' V9 y9 B8 k7 a# j/ M
set-current-plot "Lorenz Curve"1 `, L8 M: G; I1 f1 C ]
clear-plot
4 L, n" C& p: i W% i
) ~( c. w2 k+ e f# q5 g( t# u set-current-plot-pen "equal"
5 ?2 z) H- s9 h0 {4 g plot 0% I; R0 _. c/ f6 T( y; Y6 X; F h
plot 1006 r) H$ J$ z, {" s& i
3 ~3 n, G5 k+ T% f; }# Z2 k9 V
set-current-plot-pen "lorenz"
8 U. n0 |& T# U' g$ X6 Q set-plot-pen-interval 100 / num-people
0 `8 G7 r4 X! T0 ?) v plot 0/ ] U U% k9 V' M2 t# q
; \0 O3 m3 |) p, s' ]( R& r let sorted-wealths sort [wealth] of turtles
: K- K0 P2 j0 G a1 Y9 x5 b9 B let total-wealth sum sorted-wealths' v! G. G: R5 J N
let wealth-sum-so-far 0 i' r9 K& d# s" u e
let index 07 I) W) F/ y1 B: F5 y# s# z' O. D
let gini-index-reserve 0 B# ]) y5 K/ X& {0 d) Y
: Q8 h/ C. j2 A+ L4 y7 Q) k repeat num-people [
/ f; P( l# i+ k% d: \( d2 k set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
7 A5 L9 |5 c( e5 ^& p3 u plot (wealth-sum-so-far / total-wealth) * 100
- d+ e0 L- @$ U set index (index + 1)4 O2 d' C/ f, o7 v1 p
set gini-index-reserve
% Q) H: G% A) X! t/ S7 X% r0 c gini-index-reserve +8 \$ G+ Z% X9 E0 I6 z- T' q
(index / num-people) -/ ^3 j6 p; P# z* p' Z( v B/ Z
(wealth-sum-so-far / total-wealth)
! G# o; S* I4 F ]' E5 o/ V. l* |8 I6 L+ L
- `0 g: E1 s) `7 N set-current-plot "Gini-Index v. Time"
2 d( k; g5 [& w0 U( T( w plot (gini-index-reserve / num-people) / area-of-equality-triangle( i( p0 [7 U. @
end; s0 q, V0 A$ |' y- X* N; F
to-report area-of-equality-triangle. _: l( h+ p( u
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)$ A% a. D( y& J; C8 O7 h$ \
end |