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
" I0 G. C5 i2 s0 R* D" x( x* oglobals4 T8 J6 Y5 z( z, S. F& \; d, k% U
[5 z3 }& O" S# g$ h. U# a
max-grain $ u& [ r; d; _" @% G/ q* Q
' z a" w! d) A
]+ ^8 s' `3 h6 A$ v' G2 X
0 V# p F" \: O) s" j6 z$ E( E. fpatches-own
% W1 u) F" X3 h; j" i$ }[9 M% `+ Z! j( A* e6 z0 h, x$ b1 Z
grain-here 2 C: \4 i j' l. x
max-grain-here
, S9 @3 ~4 f, i; g]3 t2 A9 a/ e# _9 C2 H! R
& h9 T6 ^$ S; i" X) j5 l
turtles-own
" A8 ]: S& y1 T5 m& {: g4 C" E P[' p! i$ C, G2 g9 t% ^: c' ?
age
( q9 r, @5 T: a) |, R! f wealth
n, L8 y9 d4 B) K/ t life-expectancy
1 Z9 ~, w: F! @" r& k/ L' W" h metabolism / p! ]# k* q: c
vision4 P- u1 u! w. v w1 q8 a
inherited
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+ Z* e: Z0 U7 Q& q1 J2 g
5 I E# u8 g, ]9 F/ o" n" }; Y: Wto setup
* B' S8 q, i4 Q. s) q4 F$ w2 K* b ca
+ Y3 j7 u6 b' s' `1 U# i set max-grain 50
" @, ]7 n9 @: ? V) B; g( k setup-patches
: _& ^# L4 {2 v setup-turtles
4 w7 V* g$ X' V" r$ K setup-plots
" x4 g9 k9 Q' A4 i update-plots
& m( F/ y$ N, o( g) x5 q0 D7 Wend' M# h: n+ s* W; y0 j- k5 }
to setup-patches& n4 {; i1 {; j$ w% s
ask patches8 F" r: \ u% M# r
[ set max-grain-here 0: t, O; o, i: d; v: T- ~
if (random-float 100.0) <= percent-best-land4 s* W( x2 u/ r
[ set max-grain-here max-grain E3 L* J+ i) t( k O, I7 O/ ?, L; J
set grain-here max-grain-here ] ]4 y- _% w/ G$ } s0 v* I
repeat 5
0 x! K/ m( |, t$ M3 b, E4 I7 Y [ ask patches with [max-grain-here != 0]
) Y& `6 v# U! O% f7 A [ set grain-here max-grain-here ]$ V- `1 M- ?# {" H4 k4 _
diffuse grain-here 0.5 ]( A# x+ v7 e6 j" V: F) o4 Z
repeat 10& P. V2 F' A# K! C& O
[ diffuse grain-here 0.5] 0 D! B: ~+ k" Q
ask patches1 p( O! {* Q0 l8 D+ U) r
[ set grain-here floor grain-here $ _# P! K, S3 o% f: D9 l
set max-grain-here grain-here
- ]# @" `* S) x: e recolor-patch ]
( T' n- m) C; g4 w5 \7 w" iend
- h6 m+ t, F" ato recolor-patch
- s! d6 H* ~- Q8 r L9 s set pcolor scale-color sky grain-here 0 max-grain# e3 y/ K* ~" o4 C4 X" b! V
end
& f" l7 h; w9 T. L0 r2 H4 @6 d: \7 lto setup-turtles7 F4 J2 {6 L; [1 H6 q7 S R
set-default-shape turtles "person"
" S6 e6 H+ r- b crt num-people: z" w2 e' E. i1 R' Y; N4 ^
[ move-to one-of patches + u/ [. H. ?8 q/ Z- s5 N- I0 Q
set size 1.5 # i' T+ E) d( x( B# B
set-initial-turtle-vars-age7 b# x$ y# \, V( B
set-initial-turtle-vars-wealth* \7 u3 [1 h/ V- d9 D& w3 O
set age random life-expectancy ]
9 l9 B2 [0 i0 d' `% b recolor-turtles" b" k1 V* |2 a2 I6 \
end
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4 P" d0 t' z0 J- |to set-initial-turtle-vars-age5 C2 z/ ] w) A; P8 s( ]' G
let max-wealth max [wealth] of turtles
# o ?0 {9 J! Y
: ^/ k. X8 G1 {4 l ifelse (wealth <= max-wealth / 3)
) ^+ _9 O8 H: g) x [ set color red 4 f" N$ }2 ^4 ~: h8 S8 X8 x. Z
set age 0
+ p0 `; w3 a( I6 N+ { face one-of neighbors4 9 h' l9 a+ ]6 H+ ~9 p; V
set life-expectancy life-expectancy-min +
4 D t* u1 k+ A' w1 P( l8 ?: O4 b, K random life-expectancy-max % B5 V% v& |2 [* s+ }
set metabolism random 1 + metabolism-low) n0 ?6 ~8 d& j8 f, [
set wealth metabolism + random 30; G/ J* j& }: W I' J" p/ W4 T
set vision 1 + random max-vision
8 q6 E i5 ~+ V set wealth wealth + Wealth-inherited-low ]
9 Z" c a) d: k0 l4 M [ ifelse (wealth <= (max-wealth * 2 / 3)) o2 f8 J8 _) B$ d& O M ^/ I; x3 E
[ set color yellow 4 D- B; I6 D1 ]5 r
set age 0
) F9 T6 D9 }: v7 W* |- p" P9 h, ^ face one-of neighbors4
% A2 G9 |) E3 N$ n set life-expectancy life-expectancy-min +4 h8 E! V0 { ]+ D g! G) [1 F
random life-expectancy-max + 1
2 g+ h9 z+ e T" v- P& I3 @ set metabolism 1 + random metabolism-mid0 w& E: s% |- L, ~( F3 |
set wealth metabolism + random 30- b# e: d/ C; m
set vision 3 + random max-vision
0 t& [' F2 _9 @6 Y' r set wealth wealth + Wealth-inherited-mid]- q5 m" p5 }; v8 m/ G4 M$ `% f
[ set color green
) `3 z6 V0 m' z% ?' a$ P$ ] set age 0# q/ |9 N; \) w3 Z
face one-of neighbors4
/ l6 D$ k: W$ H: Z& m set life-expectancy life-expectancy-min +
! Z! M& q% ^. F" I random life-expectancy-max + 2
6 s& T7 I- q }' C2 x set metabolism 2 + random metabolism-up- R1 t7 M+ \, [% P6 R
set wealth metabolism + random 30
: D. b; A* X E' t2 x set vision 3 + random max-vision
* g( O6 O) ^# _- z% V9 B; m4 S set wealth wealth + Wealth-inherited-up ] ] 9 X0 E) D6 n0 h, ?7 F, c+ j
) J6 z! T c: B! Y0 Xend
; f! v2 j& K+ ~4 Ito set-initial-turtle-vars-wealth
- M9 m, G5 c8 X" m( z5 `% N let max-wealth max [wealth] of turtles
0 i( v+ N3 P) e# ]# m, K# \ set age 0
3 c& b- p1 K% M face one-of neighbors4
# ~8 ]7 l4 R2 q+ I Y1 @3 x set life-expectancy life-expectancy-min +
5 t {' b j' I3 A9 h random life-expectancy-max
1 @0 B5 y' t7 k. r# K0 { set metabolism 1 + random metabolism-up: x7 d2 E2 g* u i! Y
set wealth metabolism + random 303 h$ H q' e E
set vision 1 + random max-vision
" o5 t+ f0 N% z9 Q6 ~( Kend- Y# o6 Z' a4 s/ I' l0 Y8 t
to redistribution, H7 f/ K' A" d' ^: u6 h
let max-wealth max [wealth] of turtles. K% e3 ?7 f; R8 ~# R
let min-wealth min [wealth] of turtles
' w! q/ ^: W9 u3 Bif (wealth <= max-wealth / 3)
7 b$ ?2 ~) e) z) C9 m5 _: u [set wealth wealth + Low-income-protection ]
: i" l1 d# Y7 O% p& ? B, k! \end
' \ w8 l8 Y! B$ d4 r7 F 4 y* c- P0 w+ s* K$ \ |( z. ?
to recolor-turtles
1 Z" Y2 J& a0 p" t7 Y9 J$ U' @$ e let max-wealth max [wealth] of turtles
, X8 ], J- e O* r, ~' M6 r+ Y) v3 q ask turtles9 h: |, {5 {/ K5 O
[ ifelse (wealth <= max-wealth / 3)
( B* K! {5 j" l [ set color red ]
; j6 [6 j/ r& R5 i [ ifelse (wealth <= (max-wealth * 2 / 3))
0 z2 a2 d- M$ n# O3 [4 { [ set color yellow ]
, _8 L" m, [! P [ set color green ] ] ]! K5 n i. F3 C/ ~
ask turtles [ifelse show-wealth?
9 p" S: [- t/ l+ V, o [ set label wealth ]: f8 G4 V% S( q& x! ]- V2 s
[ set label "" ]]
7 u( s, s! T% e: X; y7 c+ y' f$ ]7 B' qend* }2 a9 t3 B b3 m& X7 J6 n
$ o- l- j) y# M" a6 |to go
# G1 i0 ?/ @6 h% Z4 [% o ask turtles5 g% ]+ A6 D) o X3 S/ c) y0 _; `
[ turn-towards-grain ]
6 y2 Y4 C$ L& y4 P: [ harvest; M3 ] g( u; S
ask turtles
. X# m5 M, \ h8 s; v) {0 i @9 T [ move-eat-age-die ]
7 n6 C. n9 O1 c% ~ recolor-turtles- Y9 n# L; z0 A- |8 b) ~ f Z
if ticks mod grain-growth-interval = 04 p7 {4 E1 Y1 o& A# k
[ ask patches [ grow-grain ] ]! d. y% p9 |+ H4 R0 a# Q8 U
& w; ?! D. n2 x$ l) | ~3 [ if ticks mod 11 = 0/ D2 P+ [- ]6 x) x* c; Y
[ask turtles
- W! ?% ^- Q. j8 B9 J' z [ redistribution ]]
4 Y7 k1 @: ~& H! H/ e- P if ticks mod 5 = 0
; w- |, _. m9 R" J# S [ask turtles
' Y6 W1 K' I5 a1 x g* }8 E2 A/ w6 D [ visions ]], K( Z) n, {8 _4 E
tick
; w' z3 w6 ~8 S- O$ M update-plots7 e8 h5 p. t, h8 S
end
3 ^: D' I5 K6 {4 I* Kto visions
0 ]) {4 ~ U) l# f; [2 f( P y2 ?/ } set vision vision + 1
' U7 O; H) y4 bend
( _4 A' B6 f, K3 g
8 i. M0 U# v4 K: L: ~+ U: D: o# O7 t
$ n9 _0 ~' W% `+ A3 ?) e2 `. b" u7 v0 L8 \$ A/ T( |
to turn-towards-grain - A$ s% J7 _$ I5 ?
set heading 08 R+ ?1 |6 h2 O
let best-direction 0
# l* O' | b* ?) Q let best-amount grain-ahead& e" L+ y$ @8 d' ?, s
set heading 90
4 L h" |8 F! S1 M2 A0 R+ V' e* h if (grain-ahead > best-amount)
: F! W( K' V+ f [ set best-direction 905 O$ ^; y& r+ B! q. z
set best-amount grain-ahead ]* G/ \; r5 A/ P2 K' d9 \/ _
set heading 180
& ~- I* s/ @: N1 i' q! C* N if (grain-ahead > best-amount)" }/ {, H$ @( i; |% U0 p
[ set best-direction 180* W" N' y, g& J( H) q) b
set best-amount grain-ahead ]) Z0 Y' ?+ r0 h. h) Z; A* L
set heading 2701 Q/ x& ^, @' q, Y
if (grain-ahead > best-amount), B" ~7 a' M& }7 V, Z' F9 L4 o
[ set best-direction 2704 y; e( d" v% h) t6 R, T2 Q
set best-amount grain-ahead ]# Y# d# B6 M! I6 Q, M8 Q
set heading best-direction+ U; b+ k; o) g* Z
end2 ^8 A; }+ J9 R' v8 r& B' N% v I
0 |9 O' _* x6 X# }! y, S9 m) f
, W+ H/ Y7 A+ B7 b5 {2 d# Yto-report grain-ahead
& e3 K% r, N* u6 S% q4 T/ e, n let total 09 x: ~; j n% j# J2 o" w
let how-far 1
, z* C. j( `. q0 G& y9 u0 t repeat vision" \' [6 j$ b7 a7 R, {! B- P% [8 [; m& M
[ set total total + [grain-here] of patch-ahead how-far
* B. D/ b: C: V4 b set how-far how-far + 1 ]/ D: `! u0 [; r. p& i* Z
report total
2 N% V5 k. W# P v- Vend
4 m3 S/ C/ z3 Y+ g8 a
9 O! X# G6 o1 ~; dto grow-grain 1 _; m; {$ }; V" G
if (grain-here < max-grain-here)
" p4 _! u4 H K0 L7 p9 I [ set grain-here grain-here + num-grain-grown& B1 \" c0 m p$ p$ K1 d
if (grain-here > max-grain-here) _3 b- ~; A' \8 d
[ set grain-here max-grain-here ]
0 ]$ {9 I y6 f: N recolor-patch ]
+ e7 |: m: O4 I4 I! }end
0 C6 o( ?* v5 D4 {to harvest1 A H! q* t% r% T& f K2 M, P1 E
ask turtles
' I8 d3 ~5 V7 L U [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
$ @$ [' s7 x) U8 X ask turtles
7 {0 z# T( A7 @ [ set grain-here 0
- r. S+ `+ }5 l0 I recolor-patch ]4 ]$ m0 b/ H' f8 d* ]0 k
6 _; x+ v4 c* Q1 a" U* o
end0 S3 |, z/ N' I# b1 v
: {! j# `- o! G* \. Q3 n' K0 W. E
to move-eat-age-die 6 E1 X" O( M- k% m7 Z& ^ Y# G: _7 C
fd 1
. E) A3 s1 [* ` set wealth (wealth - metabolism)
+ W% V3 Y4 \7 u set age (age + 1)
" G* q' f! r$ a) G if (age >= life-expectancy)
s k1 J6 W! L$ Y+ {8 W3 R [ set-initial-turtle-vars-age ]& {" u( m- G- B+ W3 ^0 R
if (wealth < 0) h! `1 P9 p- s$ M( `! m
[ set-initial-turtle-vars-wealth ]
+ e9 M2 k% d; |; ^4 f
" h% s; T$ g* P% b' }end- X; H" U( i/ V
1 u' l4 z& N* y) w/ u6 m! M d4 c, Q% C( w6 }( m- a6 B) W
to setup-plots: F0 F2 v {3 v0 A
set-current-plot "Class Plot"/ w5 f" s. x( |5 U; S
set-plot-y-range 0 num-people
: K1 t! v( ?) p' ]4 R0 J+ [3 p set-current-plot "Class Histogram"! c' e; T) u4 T4 s% Y* F8 C7 n
set-plot-y-range 0 num-people
0 G) F7 n% O" v# dend
! R8 w4 V1 e5 _. s% W6 M. Z
( m0 |5 ?8 \7 d hto update-plots
+ G: r! P9 H& s+ R) r update-class-plot8 U: V1 T; R2 j. {* W
update-class-histogram4 A9 B) p: N2 W; ~5 {" X& ]* l
update-lorenz-and-gini-plots) c7 ^) @# r9 U. T. W
end0 ?% B3 d, u5 [" }' {* W% f8 A6 Q( B
, H( E3 q: H" E
to update-class-plot
; n% x: s. `8 c set-current-plot "Class Plot"
( ~/ E5 h9 Q8 F set-current-plot-pen "low"9 Y1 x. I6 P( Z
plot count turtles with [color = red]
, D L. A4 A) p' P z set-current-plot-pen "mid"4 `3 Y' W2 t) d7 P1 L/ A
plot count turtles with [color = yellow]
& s9 g) o$ T: G& ]# L7 i- J set-current-plot-pen "up"* g7 o' e- z# \( J4 b! ?6 S( \! n
plot count turtles with [color = green]! g: c% ~( k# O! t8 V$ v
end: E! l. g! y! E, Y' q( W
/ v7 K$ X1 o b. t
to update-class-histogram
5 v5 F4 B* ~4 J6 }/ l$ @9 e; o( j set-current-plot "Class Histogram"2 r. |0 i5 w1 q$ a& X* ~5 N8 A
plot-pen-reset
4 L4 A$ D) W9 y" U9 Z. v0 | set-plot-pen-color red
1 X/ |* X z4 D; A* d* }/ e% J" z plot count turtles with [color = red]
3 B% Y h2 M% S# N5 h# Z set-plot-pen-color yellow" v- S4 ]4 Z7 i) d3 q/ j8 [9 I) e% Z
plot count turtles with [color = yellow]
; G* t7 T$ G- x" f& l1 A4 G set-plot-pen-color green
3 T# ~, ~4 G9 x2 B plot count turtles with [color = green]
/ ] @" S9 {9 Q$ iend
8 _; Z5 ^! G' N. E1 Uto update-lorenz-and-gini-plots
" n# M" i' q6 D# K. K- ?" b set-current-plot "Lorenz Curve"
' i, H! P5 X4 C- P3 |: t3 | clear-plot
6 i1 g% n) y8 i# m! a5 _3 o( E# G; l: k+ }3 Z" m! n( O7 m' \) f
set-current-plot-pen "equal"
7 |3 }& C3 b" @9 Q& g N) B; K plot 0/ d g' g9 R) P* C
plot 100+ j- |* y# \$ x5 \
: Q/ W) j, X6 E5 Q
set-current-plot-pen "lorenz"
, ], B& i0 [0 y! Q5 g3 a set-plot-pen-interval 100 / num-people. @+ U6 F# [* ?/ e, |" C c1 U( h6 H
plot 0. c4 X. P) ?1 w, ]. E6 W) Q
( \$ [+ `3 M7 } let sorted-wealths sort [wealth] of turtles
) n4 c* w/ p! e# h let total-wealth sum sorted-wealths+ \, n& F0 A, F% o( m1 t8 M
let wealth-sum-so-far 0) U4 p3 M$ u7 B N: f2 W6 T5 f
let index 0
2 E8 ]) A+ a: |3 g7 G let gini-index-reserve 0
$ p# M% _" E9 h" m; w" A- l7 n# i9 U1 v2 J7 O. i
repeat num-people [
1 ?4 g& w' \9 d set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)* h2 q. V0 ^. C' H1 _
plot (wealth-sum-so-far / total-wealth) * 100& Y7 m% B7 R/ ^
set index (index + 1)! V; g: |( V, H( G. J5 \
set gini-index-reserve
; f: u' P6 t0 d R$ N0 l+ A4 | gini-index-reserve +7 p0 C7 o, j7 q2 r% T4 c
(index / num-people) -
|5 N* e+ H' u/ c: g( L (wealth-sum-so-far / total-wealth)+ Y- K3 o- h% x8 Q$ I% c
]
" p \0 \0 ^: h. l) [; |
8 _' s0 F' b! f set-current-plot "Gini-Index v. Time"9 j ^' d/ \8 L7 {7 Y
plot (gini-index-reserve / num-people) / area-of-equality-triangle
( ]; k# |1 O# b, P$ h o6 `% Xend! n& ?2 {( S$ q5 P* _' u3 ~/ @
to-report area-of-equality-triangle# ?5 R+ y% q: L5 z' e# S
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)/ H# Y. v e7 Y8 a1 Q& W: {
end |