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; N1 O2 \3 O5 ~globals
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0 J4 M$ q* B6 K: d2 y9 } max-grain $ K( ?) O$ R5 y! L+ T
& p4 a; d3 m5 k/ i]( Z7 a" Y1 |9 o. H+ f
4 X; X* d; h4 h( S
patches-own9 G) `$ T" t9 o3 ]! a! X H- b* j
[
. p4 z! o: s, e$ D9 f grain-here ; G$ j( |% ]6 b
max-grain-here # U, V0 A) P) _! S3 t$ C$ O
]. G( ~8 G& s) c& {
& d) V% U. _( M5 g" y& Cturtles-own: S& T2 Z# j' K H* M
[' R8 @6 f. X1 Y& t7 \$ l r* X
age + {6 }0 n) u4 z D& ?6 R
wealth ( B7 R6 ?5 y) O) [# ~
life-expectancy + R6 H! w1 M' Q( l
metabolism ' s7 @$ n5 c: Y; n; y
vision+ R. S9 m2 W' i$ L
inherited 7 ~ _6 ] J& u9 A: i& J U
]
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to setup% e3 k7 h: J% x1 n" j
ca- s6 X7 H" w4 W" `/ @9 L. c
set max-grain 50
" `9 X# O! d, H8 o, q setup-patches9 I& H: y2 b D( h' K# P
setup-turtles
5 Y' I8 I$ x$ T- f) x9 N# X# M1 R setup-plots4 W0 \# j0 X. y2 i6 ]: K$ |& {
update-plots
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to setup-patches
8 ?2 c: r/ [& Y' {" Z ask patches; ~. C) G" C- _" ~$ o5 m
[ set max-grain-here 0
+ F3 M) Q& |8 l3 v. x if (random-float 100.0) <= percent-best-land
- ~. t& _5 Z1 Z [ set max-grain-here max-grain. I' p1 `/ l- `3 E
set grain-here max-grain-here ] ]6 c9 \: X! M3 G
repeat 58 K1 k( V! Z) ?
[ ask patches with [max-grain-here != 0]9 Z" K. c X7 v( T& F, w' p3 B
[ set grain-here max-grain-here ]
2 y p' F2 u% T+ M* _. E diffuse grain-here 0.5 ]
! v: _& X1 {: f# M4 o: @ repeat 10' X0 ^0 E' h0 B6 J# k- w3 a9 R
[ diffuse grain-here 0.5]
3 E R( \7 L5 i! \ e ask patches+ i4 o4 k% x8 W$ r) c6 g: }$ @
[ set grain-here floor grain-here ) W% W# ~- n0 T
set max-grain-here grain-here
" V1 F5 D7 ~ p2 Y5 R recolor-patch ]
4 R( ~! S# T, l1 Z5 \end1 h+ K: \ d4 Q) `2 O
to recolor-patch
5 w: q/ h5 j1 y7 \2 G4 o& I+ x m set pcolor scale-color sky grain-here 0 max-grain$ G' V* k- X6 U$ N) t" S' \ K
end% o6 G6 j Q: Z1 x8 \8 |. Y, _
to setup-turtles+ Y, n( g' S& e; y4 K
set-default-shape turtles "person"
# j4 c# P/ l& Q3 r T) `8 | crt num-people
; \3 E; r, O# D) ` [ move-to one-of patches
# ^: X7 D7 ~% g: r' `1 g7 L* o set size 1.5
) [3 D- O2 s1 |7 N0 O+ H# L( P2 M6 \ set-initial-turtle-vars-age7 d# P8 Q/ s8 A& B) P
set-initial-turtle-vars-wealth
. Q. x! {" J" Z/ R9 S8 F( b4 Q! k9 Q set age random life-expectancy ]7 ? S" A% \ S" L
recolor-turtles
) ^0 X% h7 V! j9 a' X3 {end
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to set-initial-turtle-vars-age
4 B# O. X. N) X; ?1 P let max-wealth max [wealth] of turtles
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ifelse (wealth <= max-wealth / 3)8 W% z* ^* X" o2 b4 W# f
[ set color red 4 N+ G3 u# m; W9 \3 K) I
set age 01 G# W0 v; l5 O/ G% C
face one-of neighbors4 . k# p' x( T# V4 l% H( X
set life-expectancy life-expectancy-min +
+ F. H8 w) F$ d, I random life-expectancy-max
/ A" A) m7 q2 h* [" x set metabolism random 1 + metabolism-low
( P- Y! X. r4 _5 U; k( r! K5 H set wealth metabolism + random 30
% f" G, T# _9 Z) Q! M R5 ? set vision 1 + random max-vision* |/ Q! r! J/ w6 x, q; Q+ [
set wealth wealth + Wealth-inherited-low ]
9 s M1 w* R0 {1 ] [ ifelse (wealth <= (max-wealth * 2 / 3))
. l' F6 D4 l% k9 [7 F% N [ set color yellow
" m, _ F! W n9 T' U6 w. Z1 Q set age 0+ p% q- V' q0 m. G; j
face one-of neighbors4
- \- a! J5 i R# B( \4 Q" n7 Q( T set life-expectancy life-expectancy-min +
6 T4 g: H3 G$ l: c" j* @7 P random life-expectancy-max + 18 \1 x: C7 i+ ~( i, A; B
set metabolism 1 + random metabolism-mid
@ X8 h) m w/ o set wealth metabolism + random 30- B/ [& o5 b6 `' z+ j' S! M% x H B
set vision 3 + random max-vision
7 v% c% n+ z( K1 d set wealth wealth + Wealth-inherited-mid]
" `; G) N+ ^* A4 h- R) H: O [ set color green
0 M, S/ G \2 q( C set age 0/ [" o) M6 ~& `& c# J8 V
face one-of neighbors4
8 D+ d6 S4 ?. L8 G3 Q set life-expectancy life-expectancy-min +
) y) _, y. y5 D) B/ N# G, G* s random life-expectancy-max + 2
+ s# }. O& L0 [: t4 {' Z. G set metabolism 2 + random metabolism-up) r" b$ v6 V( Y
set wealth metabolism + random 30
6 e! c/ J2 E) E: b7 l set vision 3 + random max-vision
; X' b0 j2 B- U set wealth wealth + Wealth-inherited-up ] ]
6 D9 R% I8 d1 a" k/ r
3 z2 M, t- Q# N. ~& lend
: K3 W5 ]- C6 u: @" ^to set-initial-turtle-vars-wealth
" {% w" J& z+ o; `* C) O: j let max-wealth max [wealth] of turtles
& G+ r1 q4 d. M$ V; x5 V% c9 K set age 06 p1 |& B, U# C; V- }( ?" j! }
face one-of neighbors4 # o. B1 T# {: H
set life-expectancy life-expectancy-min +
& O& R( X1 v" O% Q6 T random life-expectancy-max
6 B, m2 U8 J( H) X' W$ A% ^* m set metabolism 1 + random metabolism-up
' r& v( s( C% Z" t/ K set wealth metabolism + random 30# P3 D1 \6 S7 i3 B @
set vision 1 + random max-vision
9 r. x% F: u" {end# S9 z5 \( y% H( O' c
to redistribution! E( P0 A9 a- \ A; D
let max-wealth max [wealth] of turtles
r+ ]4 z1 m6 [' u( Nlet min-wealth min [wealth] of turtles" _+ O/ I% Z) v5 S7 B
if (wealth <= max-wealth / 3)+ a1 q* Y1 L- |- S3 d6 ^
[set wealth wealth + Low-income-protection ]
9 t9 B2 h% P. n$ g f% F# ^end
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to recolor-turtles
7 `2 `) H J% Z- `$ f let max-wealth max [wealth] of turtles" F0 b! u8 K; Z
ask turtles
2 c2 M0 u+ B+ I/ \& x6 a [ ifelse (wealth <= max-wealth / 3)
7 f1 C; r/ ^6 O W/ f [ set color red ]* c2 d5 k1 n8 t! g* M2 K$ v; M
[ ifelse (wealth <= (max-wealth * 2 / 3))
1 l+ P9 f* b- G [ set color yellow ]* d+ W4 y* ^9 l& t
[ set color green ] ] ]
/ u. D# w# C% M- p0 S ask turtles [ifelse show-wealth?
. \$ ^3 {. w. d. x8 D/ y [ set label wealth ], |2 a- @3 @! `# p
[ set label "" ]]
, _) y3 K% F( n# A$ p$ xend- _2 }, _7 \) `/ }8 N. ?+ B7 d
; c0 s: ]) Q8 x# m' x' m2 ^to go
~+ B( ^! u+ `5 ^8 m5 M ask turtles
! r# d* _# f6 G1 U9 B6 U v# f0 F, a [ turn-towards-grain ]
. f. [0 L; f$ t' e0 a' j harvest
5 f$ e4 ^3 X1 l& c ask turtles8 v1 ~3 c. r" L" t3 g
[ move-eat-age-die ]1 i" d- P6 [ j) e" ]- P0 l" r
recolor-turtles
+ Z ]5 l' Z: O! U1 M$ e6 r+ Y if ticks mod grain-growth-interval = 07 i A. u% z$ S# V& w
[ ask patches [ grow-grain ] ]
, Q3 O$ A( |' L/ H! e) Y/ u
S; ^# T8 x( u3 p3 S7 b1 I! d if ticks mod 11 = 0
+ u" {) f4 c, n1 R2 e. A [ask turtles
: L- M" u( o- i [ redistribution ]]
/ h x: ]4 e: U6 Z. |) m if ticks mod 5 = 0+ c. T2 m, x6 u+ U3 W
[ask turtles; C2 K; ?: g5 G8 k1 l# Z
[ visions ]]
* V- d" ?8 s+ x% m/ U+ |: s4 m G tick, p- G" e% u. U- K% |) S
update-plots
! {6 y, ^1 ~* ?1 I' R3 R$ j# v& Oend8 Z+ ]# K6 b. ]( O7 Q
to visions
) R$ g2 K* ]1 X7 x& {8 N; R set vision vision + 1
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3 v& r: l5 w; q# a \7 h) P) z/ O2 I% z( k3 N% k F0 u B
# ?% R8 J/ Q0 \# j! E% v! G( r/ rto turn-towards-grain
& Z+ ~7 H8 c8 e7 p set heading 0* Q6 y* [+ l+ k2 g7 X4 _
let best-direction 0
1 R9 o: @( M" x% ]* L, A8 ~; B let best-amount grain-ahead; E7 @+ [2 k% {$ @: Y- i
set heading 90+ C) v/ Y- b9 S3 p1 _
if (grain-ahead > best-amount)# z, d2 |8 V- W% f% }
[ set best-direction 90
) x0 ~. p' [6 x$ Q9 W4 p set best-amount grain-ahead ]
4 z+ I5 o4 ?0 u% [- p, l set heading 180
% F( v( @) _& k4 r% r I/ ]5 u, z if (grain-ahead > best-amount)
% q8 a7 B$ E- w1 @8 n4 s [ set best-direction 180
% F9 V4 ~, t" q" t" J% D0 n set best-amount grain-ahead ]
% q' c7 k3 I4 Z, c set heading 270# d* e' |$ ]. ~( \: q
if (grain-ahead > best-amount)
$ ~: S; G6 R, C0 F5 T [ set best-direction 270
, g! V2 D+ K0 p3 {3 Z set best-amount grain-ahead ]2 }: h# p* V; x; z1 }; m
set heading best-direction0 g& q( H, \, O/ O' ?0 @/ D, j
end1 d' J. r& H3 l% ]9 |9 i
3 j0 U5 S$ w; o+ o/ N
4 _' U$ }; J' c1 U4 b4 Hto-report grain-ahead
6 l1 n# L$ q o# o9 W let total 0" j' j' O2 ^2 @/ s7 C8 ~; a% D
let how-far 1
?- p0 Z( }4 x repeat vision& R8 ^% u6 P+ H; @
[ set total total + [grain-here] of patch-ahead how-far! `1 O) ~% k8 F. X& ?" M3 N
set how-far how-far + 1 ]
" q N3 [8 B+ ?2 m7 B3 Q report total
( a A& r; c1 d6 ^; u, cend# G* s" w5 `$ T0 H( n* K# z5 W
& S4 R2 s b' C: x" ^, ito grow-grain
. {# d1 S; {1 D' @4 z' p& F, ]" C0 s if (grain-here < max-grain-here)2 Z2 `) ]2 e5 b `: w
[ set grain-here grain-here + num-grain-grown
1 g4 ]- e8 V ?2 O5 o6 c. \6 F2 G, t+ V if (grain-here > max-grain-here)
8 x' \; ~# O! I; ?! w, w [ set grain-here max-grain-here ]
2 o/ y+ ]& |5 c+ B recolor-patch ]
# P6 i/ U3 L6 c& E- \, P* w" `end
7 V/ ~+ g+ ^) V* dto harvest
+ B' T7 O/ g- u1 V$ f9 ^ ask turtles
) _5 z. }5 [$ c/ U& q- g8 y [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]3 h8 A0 Q8 Y) v# Z1 n% \
ask turtles6 L7 r4 s' v( @+ a$ n5 w
[ set grain-here 0
9 s+ `( V* q# Y, n2 [. J- \! ^ recolor-patch ]
: m- u! f8 F+ t8 @1 x$ m) m & ]0 v. Y/ a5 y8 [ S
end3 ^- X6 p# V4 W& }' J! J. [ S
2 x+ c' ^2 v( d; t" rto move-eat-age-die : W. f- r6 n; P- g* `9 t$ S# X. ~# G
fd 1
. J j _$ Q# T. i3 _) A, X set wealth (wealth - metabolism)
+ c0 K! c" X5 w6 [& o set age (age + 1)+ E* I- u9 }5 R/ t9 N% U* R2 Z
if (age >= life-expectancy), I+ z1 W- ^. C% C% N+ i9 j' A
[ set-initial-turtle-vars-age ]5 P$ d3 r- Q8 d/ d
if (wealth < 0)( l! ]! e! z0 b7 h1 ]) A1 C
[ set-initial-turtle-vars-wealth ]
9 T2 S6 h- l- J4 w& @$ O! T
) D m' b. a1 D7 s! V# w' ~end
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4 }+ ~6 E: }0 f% |0 ?( |" T! r3 M" Y v; v8 e* @$ p
to setup-plots* x# G% a9 W3 C' s
set-current-plot "Class Plot"4 k5 o, F$ [; P! {: Y: m7 L; p t
set-plot-y-range 0 num-people3 c) b" K+ S& Q& D
set-current-plot "Class Histogram"1 p8 G+ u$ ]9 |
set-plot-y-range 0 num-people
* ?; }4 g& Q+ @1 g4 ^! k! `! `( Hend
; K) |$ ?0 m; c/ u- u y$ {9 n$ A+ i) o& i/ q3 x' v
to update-plots9 g: v3 m# I" V m1 V6 D% O! b
update-class-plot
0 G% p% c( y# A! } update-class-histogram8 y- f" U6 X+ b4 W+ [
update-lorenz-and-gini-plots
" f! ^4 X& v5 [4 z7 g2 ?end; M. {9 T0 {+ V* J7 E5 {
' O) ]% z' {+ K! x- Q
to update-class-plot
0 u# `/ P6 A8 _) \3 q M0 n" [0 g set-current-plot "Class Plot". ?* ]( J) ^# m7 @: n7 E
set-current-plot-pen "low"' J; ^9 ~; o, ]! n0 \
plot count turtles with [color = red]
4 J, u5 S6 d: W! X: t set-current-plot-pen "mid"% _* c3 u0 `) o3 S2 j) V H/ S
plot count turtles with [color = yellow]
) o3 O2 f# u, ?! V* a# r: L set-current-plot-pen "up"
' k7 T8 { Q9 p- s plot count turtles with [color = green]
$ B2 M+ a" V( c/ Y2 {3 H& q1 Send' c# Y1 q. h: h' c
2 |$ W. e! \7 h, w* V9 R) uto update-class-histogram" _# J7 C- t! U1 m
set-current-plot "Class Histogram"
% `; T, y+ F% e plot-pen-reset3 j/ x3 F( I R# @9 L
set-plot-pen-color red. ]( q4 d' z5 v9 r/ b6 `4 c0 x8 X
plot count turtles with [color = red]
# v# q. f+ @+ v# d) D: { set-plot-pen-color yellow
2 d) n/ ^7 c# o! z3 J4 `( S plot count turtles with [color = yellow]
3 B6 U0 Z7 o% }$ e2 b0 m/ ^# ?3 m- N2 ~ set-plot-pen-color green: m/ S6 J) A4 a' x* x; R+ ~3 [
plot count turtles with [color = green]: p4 N. m# }2 N# j
end
8 Q$ d$ t2 Q/ ?6 Qto update-lorenz-and-gini-plots+ G7 _; [ b7 o" j% W
set-current-plot "Lorenz Curve"0 a: q3 J+ Z' [4 E
clear-plot
z: C7 C- C0 p7 l$ K1 p! `
! H; G- y% O' T" g set-current-plot-pen "equal"- a D$ O T% p, l5 J1 X. E
plot 0- J* S/ R0 t- l. ~6 q7 S5 x
plot 100! B2 ^# i2 x: J2 O
0 v( `% }3 \1 z5 i6 Q" g
set-current-plot-pen "lorenz"
1 S5 {# H3 m7 o* ?: @+ l set-plot-pen-interval 100 / num-people
3 m h, d) I- ~9 X9 v7 |. @ plot 0 Y6 w( o2 ~0 U* ^! F+ Y6 }
& y, t* s4 j. t) l4 I let sorted-wealths sort [wealth] of turtles: P) C7 @4 G8 ?
let total-wealth sum sorted-wealths$ [, x( d) q4 [) C5 f) U& L' ?
let wealth-sum-so-far 09 r. j$ m" A3 i1 ?, Y0 s4 ]. j
let index 03 L" j% }1 M- C0 E
let gini-index-reserve 04 G4 c* k* [/ r) F9 Y6 h) ?+ k$ I+ J
4 y8 p& G& I) I- H& D+ [
repeat num-people [
# Q6 I% W" i5 o2 {$ \3 D( h6 N9 V7 J set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)7 D( z) e4 A$ z$ L& T& ?5 l; u4 ~
plot (wealth-sum-so-far / total-wealth) * 100
" ?7 {0 b3 W/ r/ C, o7 \8 ]; h set index (index + 1)/ L" e' O+ o+ f% p. z+ G6 S. D
set gini-index-reserve$ k* x* a! i8 q, i
gini-index-reserve +" M/ k# k6 x- v; U
(index / num-people) -
1 d9 M- m- t. ]3 ?( u; q1 s2 u (wealth-sum-so-far / total-wealth). y9 B. ^0 A8 v2 q5 y; |
] [. n- w' S( ~
* ]3 ?9 {& U; f* E& D4 x) Z: x
set-current-plot "Gini-Index v. Time"3 ?0 \; R: }0 H! }" @4 T
plot (gini-index-reserve / num-people) / area-of-equality-triangle
- C+ r- G; m) s) {+ J0 Iend% f& F5 A7 T1 e
to-report area-of-equality-triangle
7 x1 y$ U, h8 x! g7 U* J) D5 H5 t report (num-people * (num-people - 1) / 2) / (num-people ^ 2)3 A* j6 {, W; N8 L- |+ x2 m# ?5 V
end |