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# N6 T2 b3 |( c! ?$ ^, `. c& x
globals# u9 @/ _+ Z6 h# F6 n
[
$ r- p! ?% _+ ^. ]1 [: u max-grain
* p# f3 r, z2 N" s3 M/ W2 |. e' t I a% J5 e. n
]) I' U' M& y' n0 o) L$ ~7 f$ o
8 x/ A# U# y; n" H4 O! rpatches-own
" b% G) {6 h+ ]+ }2 P[
1 p# C9 @! T. y0 m# Y grain-here 7 |, b" G2 S9 Z/ |
max-grain-here . ~) T( `5 K* C6 S( y
]
% }# K5 a( U; g" I. y$ i1 M8 p y
turtles-own
: X( w' h: J1 F7 p[& A; |) Y" {0 u
age 6 p9 ~/ ^, f j0 F2 \
wealth
8 S9 \+ O; R2 A. d life-expectancy
' q" Y: t4 \1 T R* }% P metabolism ) v2 A; H* Q- R, v
vision1 p2 V! F5 ]4 }) m/ u
inherited
; i$ q. P. m1 k& N]
1 k4 `3 F- }4 T
( R; l! i0 C' Y3 a# G0 P( q! m# s
; ]5 s, P N. j% s5 v9 W3 Kto setup
1 i: {, {7 @* y- j ca# d7 ~; w; C$ u4 w/ L" E, Q
set max-grain 50
4 { v. u I$ D0 b setup-patches% z. b: [+ p2 K( ^1 n
setup-turtles
Y2 l9 T# J9 D# e" ], Q setup-plots
8 U8 d) r, t( D update-plots& q! ], n6 e6 N& n. l
end& I& H7 `/ K0 b) n/ O
to setup-patches
9 p! I& R6 B" ~7 S u7 ~+ V ask patches
" G$ b" b0 Y7 o( D; W0 R) M& S [ set max-grain-here 04 l5 M8 R2 C+ [8 l
if (random-float 100.0) <= percent-best-land
: g" l" M+ c. o, i* h0 C [ set max-grain-here max-grain, i e5 x: ^. x' f4 c7 }
set grain-here max-grain-here ] ]; w- ?) R+ l6 k6 K N+ J% r4 m) \9 D2 X
repeat 5+ R" B' T( B; K @ x
[ ask patches with [max-grain-here != 0]5 `# @/ H( ?% L; h
[ set grain-here max-grain-here ]
' S+ F5 C$ L3 B f6 ?# h0 z diffuse grain-here 0.5 ]
+ H3 i/ s' d* I' b2 x+ S/ p repeat 10
6 n" ~ N! ]+ R7 z2 _ [ diffuse grain-here 0.5] ) |$ F& Y; e2 G6 x
ask patches! X# ?6 h+ l4 B* B$ G
[ set grain-here floor grain-here
: O" g9 Y2 B" s" O( F" l% | set max-grain-here grain-here 2 N/ M/ @! @* o/ Y; ?+ u
recolor-patch ]
: V) n& c3 E* ]8 l+ N- u( X- Send
: T2 n) b/ o( i% @: W5 ?to recolor-patch
1 y% L' Z8 H' D; |# h set pcolor scale-color sky grain-here 0 max-grain& W4 p: F' g# u2 g
end
* m E0 J9 L8 W5 ?, u+ hto setup-turtles, A. V. V& ]8 ]; M3 N
set-default-shape turtles "person"* ~0 T) t* N, V9 P% J4 s
crt num-people
% H) I1 [. q, P5 I6 a( o$ k [ move-to one-of patches , A/ }7 v! A8 R5 q" I6 o
set size 1.5 2 A$ l9 R2 Y6 @
set-initial-turtle-vars-age, R. J p; v1 Y' g
set-initial-turtle-vars-wealth
" @5 R$ w" l. m' ]- Y( R" ?9 [" g8 z" p set age random life-expectancy ]
) b! w" w1 L) n$ _% g5 d, e; } recolor-turtles) N' @" h j% X) X3 {
end9 E8 P! V2 M$ U/ F% F% O7 u
' b; v0 k. B! t8 M' [to set-initial-turtle-vars-age+ }) H, r+ M0 l5 Q- }
let max-wealth max [wealth] of turtles& w& m3 A6 _$ z3 J! \) {/ j
+ q" Y; O" v+ W
ifelse (wealth <= max-wealth / 3); X# n/ g$ p# g6 F% ]% r% f g
[ set color red + y! a1 G n) |/ t! P+ t/ K+ N
set age 0
+ X+ g* @: W5 x& p; g face one-of neighbors4
# v% V3 _% @% v5 J# C' m set life-expectancy life-expectancy-min +
7 h( K% e, \3 N$ r- G+ E random life-expectancy-max , Y+ M7 `1 F! v# O/ n
set metabolism random 1 + metabolism-low
3 u! j/ t9 J$ g) T8 F set wealth metabolism + random 303 {4 u3 \7 W& o, [8 \, X5 h1 \
set vision 1 + random max-vision
" s& t" k) \$ v4 l set wealth wealth + Wealth-inherited-low ]
' ^7 v" ~$ t0 O" T+ C. Y& t2 B! A+ H [ ifelse (wealth <= (max-wealth * 2 / 3))
# }. l, N! B+ ]7 l/ S [ set color yellow
1 { j( g+ c. N0 ]* L& Y set age 0* z0 N+ d1 m3 [7 K/ Y6 `* v
face one-of neighbors4
/ i& [* [, I0 @ set life-expectancy life-expectancy-min +( n# @3 K6 c- k- `7 ]
random life-expectancy-max + 1$ [% Q- [+ \" ?
set metabolism 1 + random metabolism-mid3 L, T7 O' h \, e0 Y) d
set wealth metabolism + random 30
; X8 L7 D+ |, n) J& k6 W6 s set vision 3 + random max-vision
' G& u! ]; H# s$ t4 x3 O+ y) j set wealth wealth + Wealth-inherited-mid]8 Q e$ p0 q7 S
[ set color green
) T1 u) u) [4 c" v* |, s) y4 q set age 0
1 T5 I t6 H% r9 g# T4 n+ J W( m face one-of neighbors4
, _9 B3 M1 _" m9 h set life-expectancy life-expectancy-min +! `- {2 u! w5 r* k' q
random life-expectancy-max + 2
# p. t3 {' I7 Y }: P1 X set metabolism 2 + random metabolism-up- K% V7 c0 n- Q% d% f
set wealth metabolism + random 30" [& ?$ D' }( m8 @) I
set vision 3 + random max-vision
; s: j: ?* b8 V) C set wealth wealth + Wealth-inherited-up ] ] 9 ^3 \4 _, I! k8 l9 ` W1 A
. r: U( N1 M9 v" S
end& b4 V0 J3 l( x( P8 g
to set-initial-turtle-vars-wealth% Q1 C$ m& N% a( O
let max-wealth max [wealth] of turtles
- T: @- ?% W- q# P* T" y/ | set age 0& s1 S% D9 j7 l( p* {6 @
face one-of neighbors4 8 R, r' k7 h6 d
set life-expectancy life-expectancy-min +
7 T2 T0 |: S( | random life-expectancy-max 6 {7 [) Q* u; Y
set metabolism 1 + random metabolism-up
/ Y5 G& G+ C+ A! V" Y: h set wealth metabolism + random 306 D/ b5 C9 f$ v7 W& J
set vision 1 + random max-vision
% |3 d8 W. o4 c, A! p0 q5 {- ?end! @, M Q' z5 y/ u
to redistribution
! f6 U8 t- }* ~$ llet max-wealth max [wealth] of turtles
& N& G* Y4 s$ Y; R, ~/ c1 {let min-wealth min [wealth] of turtles
5 ~* I. c0 M( Oif (wealth <= max-wealth / 3)* `" x3 b2 M% |2 W. ^' a) o- o- i
[set wealth wealth + Low-income-protection ]
6 r+ t. {2 r: \" Wend J1 G# R2 J1 _" \' _
6 y" r W( G: P5 H$ Dto recolor-turtles6 m+ ~. N% c: K/ z8 r/ b% H2 d
let max-wealth max [wealth] of turtles
' ^1 I! C# G& E: R ask turtles
/ S* l [ q0 K0 H+ Q( U, z [ ifelse (wealth <= max-wealth / 3)
& r; ^8 |8 s+ v, k [ set color red ]. O m6 {3 v3 `
[ ifelse (wealth <= (max-wealth * 2 / 3))( w/ i3 k! J# N; s
[ set color yellow ], L4 u: h/ V7 p Y& J; S8 e
[ set color green ] ] ]8 X- m% x/ W0 i+ }; V3 i
ask turtles [ifelse show-wealth?( ] L' L/ @# H2 Z0 y$ r
[ set label wealth ], P3 j# f1 R/ u
[ set label "" ]]8 t6 S+ Q, s3 N+ p7 v3 v* g
end- S6 M6 s" b2 T' X* k9 X( G4 K
# m* v) w5 y- @1 r5 L: F
to go5 _% R7 O- B5 g; W
ask turtles$ X: F$ r6 I7 d4 Y4 ]" d% {( `
[ turn-towards-grain ] ( `7 k, @ l3 e9 g% O L
harvest
1 `* p% r0 H2 e0 G) T6 t ask turtles8 e# ~+ w3 t; \) }
[ move-eat-age-die ]2 A* {6 w' R( g; s8 I
recolor-turtles
' N# O/ Y4 _' s% s& ]# V if ticks mod grain-growth-interval = 0
* S2 [( Y8 f- q" W [ ask patches [ grow-grain ] ]! i' _/ r: L( f, B( O
. Q5 Z. p$ N( N& R
if ticks mod 11 = 02 w: s4 r8 C" l& V* D
[ask turtles
1 l& X$ w' y( U [ redistribution ]]
7 [9 g( H& q! n% Z3 L* O0 j if ticks mod 5 = 08 b9 K o+ g1 \$ m% U
[ask turtles3 u" m( n3 P. q3 w x$ y
[ visions ]]
4 B- ?% X+ `3 k tick
/ m0 E' `% {1 u, r update-plots
* R: N! R% ]8 l$ z& m0 Oend
, C4 [7 n3 f8 F. C' [1 f) Tto visions
8 J4 p9 S ~* S( `' s6 y set vision vision + 1 . m* |5 F6 n8 l- L: l+ t& _6 z
end
9 l: r" a9 G7 t. r$ O z
" h* m @4 F, m' D0 B+ I% {3 R! j2 Q/ t/ g2 a2 L
3 _1 L9 Q1 m7 T7 Jto turn-towards-grain 1 L7 V7 N% ~. b7 W$ z
set heading 0
# B0 |6 [# y% r* P- ^! v/ w let best-direction 0+ G) [# B; \5 D+ s! T
let best-amount grain-ahead
9 p" i( B3 N" W# p set heading 90) K6 V% e, ~; k3 w, ~
if (grain-ahead > best-amount)
4 b+ H) F! `* M3 q& Z1 \# E- {" M# N [ set best-direction 90
" {( n2 v, {# |+ z set best-amount grain-ahead ]; E0 c3 [) @, {2 r# l n }
set heading 1803 F: x. x" r6 v& n
if (grain-ahead > best-amount)
( F3 Y* d Z& ~5 a [ set best-direction 1802 ]% [9 b3 u; R( e# W
set best-amount grain-ahead ]
4 k `: g6 x9 E5 F3 s* @4 V+ p# | set heading 270* ?% H2 b i- `1 s7 L# y
if (grain-ahead > best-amount)
5 {( z1 x* I# @+ q$ [2 N [ set best-direction 270% U: L6 M6 H- B
set best-amount grain-ahead ]% s# R, G/ s4 s" d8 q) {* P
set heading best-direction
; L* {! o6 p* zend
, Q( z5 s/ ~9 V( O3 l
0 [7 u5 d! T# q3 C, k' ?0 Y( c3 Q& |1 z% Z/ S
to-report grain-ahead ' j2 m; d0 C7 g
let total 0
" o* ^; Q3 p8 o. G" \! _- {6 j let how-far 1/ i9 G7 m" H/ ]: q& }. f
repeat vision
' U) A" V$ `8 V* y [ set total total + [grain-here] of patch-ahead how-far' R; E; y, s. h8 K2 U1 I9 J
set how-far how-far + 1 ]! z6 ~& j3 D6 n% F
report total8 v) K! j5 T# f7 ^# R. I4 q
end& ~- N! ]8 B) g2 u) h
; \0 B3 }( ]( N$ G# v5 v
to grow-grain
: k+ K u0 k7 x2 y# N4 k if (grain-here < max-grain-here)
/ z8 ]' K4 F' t" m4 o! l [ set grain-here grain-here + num-grain-grown
2 O4 Z+ p: j* O( x c- E: K; Z if (grain-here > max-grain-here)
6 B4 K/ N- S: a* `' E. H3 n [ set grain-here max-grain-here ]6 D8 H: w/ K1 g( k1 g
recolor-patch ]$ V/ v1 r' p2 M# Q( o. f+ ]
end2 v, m% _7 f& h* P5 u' U5 `: d
to harvest! N* n. F7 f( y( P% N: j. a
ask turtles9 y( G0 s- P4 P9 ~
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]8 Y: d2 ~) j7 k+ J# S! h
ask turtles' P6 O% @+ ~+ g+ [' P
[ set grain-here 0
; w1 k4 C" q/ g7 T" ?2 V+ ` recolor-patch ] N6 `. v9 _, Q( `2 R8 T6 E
; S& j/ m, X7 rend
8 q5 a. a2 b& R0 ~8 o" ~! q" V% }/ u; p9 F
to move-eat-age-die $ m( A3 q, Q) T6 ^ u3 `/ ?4 j1 f' O0 V
fd 1, c5 F- P# V, O
set wealth (wealth - metabolism)) |% x2 O3 X7 J6 c9 o' _
set age (age + 1)
" H5 K$ ~, X' b if (age >= life-expectancy)& E3 Z1 }: y; u, m* I
[ set-initial-turtle-vars-age ]
- Z. ~& H' `- o/ w4 R: d if (wealth < 0)
( u+ z5 `' H& y: W& N( @: } [ set-initial-turtle-vars-wealth ]
3 } d1 W! [1 B! x
" B) G; W3 I) Y' Q2 e' \+ @end
1 n3 ?! I$ s0 X t1 n6 u6 f1 \; _" b) N- d* V8 {
- R: Z; Y+ `, w1 i6 w6 Cto setup-plots
; V. J& b6 B( g7 I- ~" [ set-current-plot "Class Plot"3 E; Y. f6 N# y- U2 x3 |
set-plot-y-range 0 num-people |+ a. T/ K8 Q! V; o' y2 W; |; B
set-current-plot "Class Histogram"
Q/ X8 v z, Z1 W set-plot-y-range 0 num-people
]3 z- b5 [. h+ z3 q; Yend
3 R2 b+ ^) P7 z+ j0 J9 U; P5 c `; t; q2 @% ]. X
to update-plots# w% ~* J# G! Y$ ~5 T+ i
update-class-plot6 f2 V+ N7 s) o/ a
update-class-histogram9 D( ]# L( x5 H( k& R1 J
update-lorenz-and-gini-plots
* i6 }$ E8 i& Xend
7 B6 I( P0 O d4 P# W: B u" _$ q( t3 _6 z, z: z
to update-class-plot
2 [5 S# g6 B# t$ A' Z set-current-plot "Class Plot"
9 J: @- b) S5 J set-current-plot-pen "low"
_3 m M# h. H4 u1 |: h plot count turtles with [color = red]" ]( ^& c3 t8 |3 w) ~% k
set-current-plot-pen "mid"
# ~# V: H" j; \, y3 K plot count turtles with [color = yellow]
' y, i( {( V' F _4 ? U set-current-plot-pen "up"7 ^* Y- K2 |: z+ _5 J5 q
plot count turtles with [color = green]
0 ?( i+ ^' l, l$ Bend
: ^( S9 f* o3 n+ B% A0 [! x5 x! {$ c
9 L' P9 o: G& H. _; t, o' ?to update-class-histogram9 |) ]3 c* g1 ~$ G- F' n; k j
set-current-plot "Class Histogram"& T; F S' w3 `* _1 [ b" t
plot-pen-reset$ A7 t: @1 I& ]5 L2 Q0 z7 X
set-plot-pen-color red% c% i! |( C* J E0 z% Y
plot count turtles with [color = red]4 Y' r+ Q' |7 Z4 h3 ]: D
set-plot-pen-color yellow" C6 ^9 P. V L! t) n( U* B2 X
plot count turtles with [color = yellow]
H4 u. a+ ?* X. `3 t set-plot-pen-color green2 j# W* I( L0 ^4 G) V' V8 E0 w/ e
plot count turtles with [color = green]1 |0 |7 T/ u: d* Y% a
end
1 i$ t" ~$ _; [& y" cto update-lorenz-and-gini-plots2 n; y7 g+ q3 @7 ?
set-current-plot "Lorenz Curve", r/ _7 @6 \4 p, I0 F
clear-plot
' W: I( q. z7 q$ C: z
1 A' ], U# r, N6 G* \9 R5 { set-current-plot-pen "equal"# x& ]) J! O w* `! ]1 o" w( p
plot 0
) v3 T0 B6 u( g# T% x- } plot 100
% p s" m+ h: e5 Z7 L
7 @5 U, q% _$ M- B set-current-plot-pen "lorenz"6 h. ]" a6 P Q6 k4 L. f
set-plot-pen-interval 100 / num-people! g1 Q5 k( r( r+ n
plot 0% _$ p- F7 V8 D3 l* i' B9 X7 v! ~
* |0 P- F+ f8 ^& s$ _2 d/ J
let sorted-wealths sort [wealth] of turtles
8 I' S8 T- {( n. J3 | let total-wealth sum sorted-wealths
- d( a, d8 k: p6 `8 A let wealth-sum-so-far 0
; G: c! ~! N5 H6 w( d6 O, k let index 0
& X: G/ t4 x% W3 O* w5 | let gini-index-reserve 0
$ b& R8 W' K* G. D8 o, L! h- n6 f5 R0 H. T! V3 A
repeat num-people [6 n0 ~! |: p! ^: ]1 @7 u& V8 n
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)! y0 r/ m3 w* Q
plot (wealth-sum-so-far / total-wealth) * 1000 f* L. b1 x' A, Z2 w
set index (index + 1)
) }2 g& \: l% m' p$ p1 {. } set gini-index-reserve
: b& e# T+ r9 b H& k+ J gini-index-reserve +
1 \5 }' r1 a. ^" R1 J (index / num-people) -
' f. h# B2 T S4 N5 @ (wealth-sum-so-far / total-wealth)! n [7 v% X$ h2 J7 s/ x0 x
]( N; G' Q1 f" i y/ R; B# [
, u) q: W5 Y% z7 d* F/ E set-current-plot "Gini-Index v. Time"
" q+ e Y: g& m plot (gini-index-reserve / num-people) / area-of-equality-triangle; i( J( I: e: D" n" `) Z. D
end
- M7 b$ \/ V# d7 r" j ito-report area-of-equality-triangle
* ~, l* Q4 y8 w% i report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
0 @% }9 j. R8 N, t6 tend |