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
! ^% E; V3 P0 |9 [3 C8 j9 L. xglobals1 V: ]6 Y! L* w
[
/ o8 n) Z3 x7 u- r4 T max-grain
2 j6 a7 Z! g0 ~8 D) A# s7 z9 k5 Y5 U$ Q3 L( w9 c1 y
]
9 W% `1 N/ k* c/ t3 m. D8 N. }* f6 g! s1 s
/ J9 k2 g( d2 g8 ?# spatches-own1 F% ~" D6 E s* D6 n
[
5 f2 I) j. e1 i# `) C/ p grain-here
: P; m5 i' h2 A5 L max-grain-here
4 h" ^! D W, Y l4 t) b! G0 C]" j. z% H, b: y+ R. Y
% ]: [" ?$ W* S' x6 z6 w
turtles-own
4 S; o' k, |$ r" @5 v4 z[# h& I0 a7 k2 c9 E9 K0 ?8 }' p
age
/ | l0 u. S/ L4 V- `# R- c wealth
3 d% h. P9 R% `! P9 I life-expectancy / D' G1 T: O( I
metabolism + x( N) _0 [& T
vision7 v2 _) G) V' k, I# |
inherited : P6 w2 i- k4 c; C( `4 v0 b: f
]6 W* k, T; w4 I0 o+ D# E
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# B# O+ P- R b) [7 }+ m: \to setup, [/ i1 T" A) z3 P$ [$ {4 R3 j$ X9 r; S
ca, K5 R. Y, R$ x4 V6 g3 ? ?
set max-grain 50, W0 V' E6 j- l% @
setup-patches
6 h8 }9 v- ?; }+ ~& |4 O setup-turtles/ ?1 `6 |! E' p, h9 Q2 M
setup-plots" E( F- w& o" W; q0 {+ L
update-plots8 O+ A- I! R/ \1 m( Z6 f) @ K
end
7 C- C+ r% v! {: Q2 Q6 jto setup-patches
! d* o/ L( n* c( ~) H2 R ask patches
! |% S( R$ q- B0 i" p+ B [ set max-grain-here 0: G) _6 t8 ~* N; ~
if (random-float 100.0) <= percent-best-land6 F& f9 j' s0 ~3 [; f3 F
[ set max-grain-here max-grain
$ ?% g1 G9 u2 d9 G* e; G- P set grain-here max-grain-here ] ]
3 \ o8 |8 U& w1 V7 r repeat 5! S4 k: }& p5 Y+ X4 l$ m: l N
[ ask patches with [max-grain-here != 0]
4 M, {( C- {3 ^6 y6 g [ set grain-here max-grain-here ]" T0 J% j! s. e! w
diffuse grain-here 0.5 ]" F" D/ D7 ~" r
repeat 10% x0 _: m& O+ S
[ diffuse grain-here 0.5]
* E+ w( c6 B4 l8 I7 d7 N1 D3 Y* \ ask patches
; g( E6 v5 n1 Y: C% Q [ set grain-here floor grain-here
5 |1 [7 d) L5 k/ ~: B; D) U/ D' ~5 Z set max-grain-here grain-here 8 Q$ J" w) S7 ~* R0 |) ^; A, f
recolor-patch ]. `1 {, c; L( \8 ?
end
3 V) t3 W! A5 d7 R- Q4 d% mto recolor-patch 9 W+ g3 L; T/ P$ {- V$ h3 ~9 E
set pcolor scale-color sky grain-here 0 max-grain
- D/ F! |5 Y& _5 r6 aend# Q" Z/ e( A) h p; ~8 c
to setup-turtles
! o9 I$ E( a5 H- V set-default-shape turtles "person"( X& g4 n( E$ N% V
crt num-people
: \1 F z m7 d; Q. V [ move-to one-of patches * u' P6 q5 P3 c) R$ q
set size 1.5
5 }3 m$ @" \% J0 t0 S6 p0 \ set-initial-turtle-vars-age7 e6 R/ c8 D: [' ~. J5 C4 U
set-initial-turtle-vars-wealth
7 L: U* a* a0 q9 }6 x1 W set age random life-expectancy ]
7 \4 g8 r/ j- M R; G recolor-turtles; L1 {* V$ z' @' n1 D( O8 H2 q
end
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to set-initial-turtle-vars-age8 u7 Q; N5 h) ^
let max-wealth max [wealth] of turtles
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ifelse (wealth <= max-wealth / 3)
7 L1 r2 J: J2 @' c$ ~% k% ?: _ [ set color red
/ h4 `0 G2 ?- N# x set age 0
F$ Z4 Y; [# o: @$ t face one-of neighbors4
) T2 k% Z, O+ Z. G2 |8 f set life-expectancy life-expectancy-min +) R/ ?6 ]# C, a/ q# _& ^
random life-expectancy-max
9 N i) n. r) H+ p4 ?, W set metabolism random 1 + metabolism-low
+ J5 ~6 N2 _/ ]# i" }! H1 s set wealth metabolism + random 30
7 n- x1 g/ Y6 `# p7 x7 o set vision 1 + random max-vision
* k+ q" q P# ?# b set wealth wealth + Wealth-inherited-low ]9 j7 c5 ~- x! N& W' u. h5 o
[ ifelse (wealth <= (max-wealth * 2 / 3)): I% G& J; ]/ R. A# X& I
[ set color yellow $ z6 r. S! A/ z' P4 r
set age 0; ~' e }: r+ k. V3 Y# L1 z! ~" Z
face one-of neighbors4 ! x$ x; a. l! y3 [
set life-expectancy life-expectancy-min +) n6 B7 O# b! _8 w H! c
random life-expectancy-max + 1
6 A9 _4 z4 \: \/ g, B set metabolism 1 + random metabolism-mid
2 F* @- F- A7 c8 ^4 q6 } set wealth metabolism + random 304 g" K) w% b8 d" k4 [$ |
set vision 3 + random max-vision
/ W5 ]5 j8 U; q$ d+ ? set wealth wealth + Wealth-inherited-mid]& ~5 P B8 z1 ]* X4 Q. d
[ set color green
8 i1 v: p3 l! b9 E2 U6 K, r set age 0
- T# _% o( j3 ~7 [ face one-of neighbors4
% y) z; z+ A1 M set life-expectancy life-expectancy-min +6 Q- g0 Q: E" e! [4 G
random life-expectancy-max + 2
9 ^3 ?' H! w) I& E set metabolism 2 + random metabolism-up
0 e& X _% B v F+ W set wealth metabolism + random 30; o: ?5 [( U G/ y, L8 e
set vision 3 + random max-vision- }& L. V% f! y: ^
set wealth wealth + Wealth-inherited-up ] ] r$ V2 h+ D6 ~; B7 S% L
6 D. R$ h4 K3 x; Q* L
end
9 ` X0 t/ t4 B1 r) S* Y# S' {5 Lto set-initial-turtle-vars-wealth" i3 ]" Y" k# ~8 c! V- S
let max-wealth max [wealth] of turtles! D# J: v h m$ T6 y
set age 0( q2 V9 ~' c/ Y Q6 Q0 k- h' ~
face one-of neighbors4 2 u* @/ ~( H3 u; z& T9 `
set life-expectancy life-expectancy-min +
) o% o, Q/ w' }" w random life-expectancy-max
4 m' [/ R) E; w0 g4 D$ x* v9 [ set metabolism 1 + random metabolism-up# v& O: W$ `, n; g9 z9 D: `
set wealth metabolism + random 30
" c5 i3 n, N$ m set vision 1 + random max-vision 4 e. C" v7 L4 u5 O
end
1 h% r4 n/ h' e" G* g) Q! Sto redistribution# R1 I+ r% ^$ v
let max-wealth max [wealth] of turtles
e2 V% d! u- {+ y2 j4 }% Clet min-wealth min [wealth] of turtles; b& E) |0 L0 y% i0 p* J
if (wealth <= max-wealth / 3)
3 }* J# I+ O. o [set wealth wealth + Low-income-protection ]
7 o A3 I& U/ G9 l7 w5 i' Uend" g6 b2 o0 [. b2 A8 y) S* y- N
4 w( r) u* }) }7 Y5 k9 [0 S& `to recolor-turtles
0 n8 \$ |6 ?! Y8 k let max-wealth max [wealth] of turtles) }& u$ C: O# c! }
ask turtles
# u! l. \$ E5 `3 n6 o. A$ b* T, N& a" N# Z/ _ [ ifelse (wealth <= max-wealth / 3)% Y! d. ] `. I! Q: G
[ set color red ]( \2 v" f2 H _, y
[ ifelse (wealth <= (max-wealth * 2 / 3))% |& I3 B( k0 F$ A4 I" ^4 `4 f
[ set color yellow ]# a2 N. u3 R9 \9 I
[ set color green ] ] ]
: [- v9 J9 K- n. c$ C! \; N; ? ask turtles [ifelse show-wealth?* X( O6 q: B/ W! h' g6 j" Y
[ set label wealth ]
; g: t6 O z7 n0 }9 ^3 O( q M [ set label "" ]]
0 |- D {; }; k; _end
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to go
9 n& E) c/ B% c; W. u ask turtles8 h% p& b: I: c+ d. T3 U
[ turn-towards-grain ]
3 L$ f0 e% O0 }/ u5 T$ h ^& P6 J harvest5 P3 w) m* |3 l. m/ d) W- \
ask turtles& `5 u, b( {4 U( t: `
[ move-eat-age-die ]' v V; G& Y0 B1 k) L/ d
recolor-turtles& M" E( X1 ]5 y% l
if ticks mod grain-growth-interval = 0! j% E4 |* |7 d* u) f" c U2 T, A, R
[ ask patches [ grow-grain ] ]
, e1 D. O( q& s
. B2 I6 `# v: O, E3 E if ticks mod 11 = 07 v6 |3 n- k8 v7 t1 l
[ask turtles
2 ^- O* t. B, h' m5 ]& O [ redistribution ]]. Z, \4 v* j: z* _- M. w0 m, ^
if ticks mod 5 = 02 o4 @6 j) |8 \+ ]* v2 y- x5 [- `
[ask turtles
' o) ~1 K4 o% Y! |9 G# y2 t [ visions ]]
. z! {2 S6 J5 v1 @( ^% d/ D6 v3 o tick
+ D `8 @- N: [6 e$ f* g update-plots& t/ ]8 n" Q R2 C S& E: l
end
* [% O& O/ U# y9 ^8 f6 l* e! Ato visions+ v, x% n/ j9 q6 Y+ {$ C
set vision vision + 1
5 `0 b. [6 p; F% `- D8 \7 i& [0 Aend! U8 d- t: `7 j; T
1 [$ w$ E7 X* K7 d# Z+ ^2 u2 Y+ \* c- K7 Q
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to turn-towards-grain 8 r; a: r. U! ~/ G/ U# f& ?
set heading 0
7 J1 J- R. I( `. }" P let best-direction 0
3 T6 y$ [9 V) A- U let best-amount grain-ahead
* F' h: b) ~# H set heading 90# Z2 E7 g; M0 W8 O O3 v
if (grain-ahead > best-amount)
) R) W0 T/ l* V- ] [ set best-direction 90
* w0 g6 n Q, z$ V0 s set best-amount grain-ahead ]: ~. Y8 h$ r, g9 q" ]+ G
set heading 180
/ H& P/ n7 S% h: E) _ if (grain-ahead > best-amount)* a4 f6 a! e& s
[ set best-direction 1806 P3 s' Z- J1 y$ Z: o! L& k
set best-amount grain-ahead ]. f5 d t. K4 m P2 h& T. z6 p
set heading 270- Y( x' J- t* ]
if (grain-ahead > best-amount)
" b; ]9 W6 ^! G5 W; } [ set best-direction 270* Y z9 t+ E/ r% d' u& `
set best-amount grain-ahead ]& u+ Q4 U& n: s' ?+ V
set heading best-direction& L* z4 W; r- U0 g: T6 f7 H
end
. a: j- ^* N* k
, L& \5 e$ w) b- z6 A! |# ~0 B" k% F7 y/ z5 C0 f0 h
to-report grain-ahead 5 I a7 ~) e: i3 o
let total 0% j! C9 Y% X2 a* ]9 C( \
let how-far 1 D* U1 @ }0 E; M, z2 M
repeat vision) f( Q+ l' h4 v& Q
[ set total total + [grain-here] of patch-ahead how-far
6 Q: c1 O- D5 [0 E, s e1 ^ set how-far how-far + 1 ]
# s6 K; g" j' C) T report total
% f( _/ m+ m' l8 Y1 R1 I/ Jend2 q5 o# d, p: t, `
" Q. U% ^. g; X
to grow-grain
9 U! H/ V9 U8 L if (grain-here < max-grain-here)' Y* ^6 F1 A2 T: }0 f
[ set grain-here grain-here + num-grain-grown# G! p1 V* K" j+ w9 g! E
if (grain-here > max-grain-here) : ~* p- b+ q- W/ b: q! D
[ set grain-here max-grain-here ]& H7 b, h1 L1 _
recolor-patch ]
. p# R+ R$ l, E% W( v, gend
: B" l1 q' e. Sto harvest
/ B( U" @5 W: w- ]5 w' D ask turtles5 v: k2 Z2 `/ \7 ~. n
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
( U8 H' Y( j* S9 l( F% z) G2 Q ask turtles
) g: ~- m5 S2 J' E; g5 d2 {# z [ set grain-here 05 y7 B7 y9 m8 d' i& m- ^5 g& B
recolor-patch ]6 M9 |/ y3 O6 K3 G" ?, F. {
: y7 F/ `3 P- m
end$ L& v- I6 _1 m* R b' u. ~2 v3 Q
3 d, c' X+ @4 Z, y F0 p# v; t
to move-eat-age-die 2 ]. [0 f1 V5 C' X% E5 z& U
fd 1
% r) o, v5 s6 t6 k0 z7 S6 C set wealth (wealth - metabolism)
* Q A( U7 m0 x" \$ T3 S set age (age + 1)
& K6 c) Z# o( w if (age >= life-expectancy)# n( G, `% s. o. p2 `, c
[ set-initial-turtle-vars-age ]
: c; {" _) C" J0 \2 ] if (wealth < 0)6 t1 K- t8 y& N; |2 w
[ set-initial-turtle-vars-wealth ]! ?$ \; e! Q$ x1 d
! N0 M+ z' q9 O
end6 B$ S! [) {* c% x! M
5 m* h; Q3 M: A
) A3 R: Y0 G6 P) z5 _ lto setup-plots
2 y' |6 I- g K5 i+ O: z set-current-plot "Class Plot"
, j) s+ d' q1 G% N set-plot-y-range 0 num-people
0 z* x; M) i6 @ set-current-plot "Class Histogram"! x H0 ^5 o4 g
set-plot-y-range 0 num-people6 O/ |1 l+ Q* n6 q7 S- W7 t
end3 R6 k7 g4 m$ b* C& d
. Z! u& ^5 F8 M/ Ito update-plots9 z/ s% [4 p z% u' ?! v& Y
update-class-plot [) D; }. N6 b. Y( E: |
update-class-histogram% _6 {+ \. ~5 W+ W y
update-lorenz-and-gini-plots
* I& c% }+ E5 k2 ], j6 ~! Fend
x1 R+ v* `# h. g! Q, w2 j: f+ E; R; L
to update-class-plot: @ m) b- x" Y; m1 X
set-current-plot "Class Plot"8 N4 z' c- ^- z% E9 N# {) e! K4 S7 L
set-current-plot-pen "low"
( h q) M- L0 u2 A( D plot count turtles with [color = red]
8 F3 Z/ c( L2 W F u+ q set-current-plot-pen "mid"
+ t3 P0 D! h7 p% j# C plot count turtles with [color = yellow]
- g- Q. A! u% L1 X set-current-plot-pen "up"
: `4 ~$ F A/ D3 U3 x3 _+ P plot count turtles with [color = green]
' q6 k2 _2 l! j0 t8 Rend
) S: ^; c; f% y1 o- ~0 Y {- Y+ u/ h- }6 ~) ^8 J
to update-class-histogram
" h' S; ]- Z. _$ ] set-current-plot "Class Histogram"
1 y2 u( d/ _, }2 s plot-pen-reset7 ~8 x* @$ m6 c* e9 e
set-plot-pen-color red* B6 t" [7 C8 q0 X; Q3 i- Q
plot count turtles with [color = red]
7 }. U6 x0 m0 P: _* B/ z set-plot-pen-color yellow+ o( g3 U7 ]3 B) S
plot count turtles with [color = yellow]
8 t+ s( q1 t+ D: a! x. Q set-plot-pen-color green) x: p8 K+ T) K) G
plot count turtles with [color = green]# K8 B/ }8 W/ i. Y
end
6 `* T* ]- Y* H" t2 G2 z8 Cto update-lorenz-and-gini-plots
! f! {, \: Q) d% p8 W5 k* S+ r set-current-plot "Lorenz Curve"
9 q1 {: Z4 {$ T7 t. g clear-plot
; T1 Y0 c6 u8 L+ {% ?/ @8 V( l# ~+ i$ i+ ?4 _
set-current-plot-pen "equal"
! B: ]" F4 B! L) D! C# V plot 0+ k, M# X1 X) g
plot 100
. A/ F1 t5 Q+ G" ]3 l5 N8 S8 L7 M1 n1 Z
set-current-plot-pen "lorenz") P A; K+ @+ Y
set-plot-pen-interval 100 / num-people
4 m$ T9 ^" W5 K _3 F plot 06 f( u' c; [( r
2 [3 K ^! J# |; f7 B let sorted-wealths sort [wealth] of turtles) n0 A& e! w- G7 E
let total-wealth sum sorted-wealths
" q p, Q% S; Y6 { let wealth-sum-so-far 0
/ r8 r) s& ~* \ let index 09 H# Z" x% W1 t( T
let gini-index-reserve 0, R4 M7 X& z& l3 c' a
" p, @; ~: P; i% o o repeat num-people [) S" H% ?9 _4 Z% ^# m: k- E
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)- [! R5 B" k0 s
plot (wealth-sum-so-far / total-wealth) * 100' t- y4 g* }9 K7 M5 j
set index (index + 1)
; Y# B' u1 D2 X set gini-index-reserve
' M, M! c/ D* H3 U gini-index-reserve +: u1 ~9 j3 m* w# T7 ?- `
(index / num-people) -
8 H3 O3 @! n5 K% O (wealth-sum-so-far / total-wealth)) v$ m3 a1 i2 F6 z P
]5 _# r3 w: {8 D2 B0 e
. q- A9 L+ I1 o. ?
set-current-plot "Gini-Index v. Time"
0 H6 Q* u0 M% H plot (gini-index-reserve / num-people) / area-of-equality-triangle$ Y& V, N9 w7 X2 b
end* j) R3 @( f6 ~+ ?
to-report area-of-equality-triangle
. i z+ D# y: a0 s7 r( K report (num-people * (num-people - 1) / 2) / (num-people ^ 2)5 V( W; s. ] n3 }7 b* `
end |