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
! K7 {. S! x2 U% p. J- Y) E/ Wglobals
" y5 h7 k* Y ~6 \# N1 P: k3 H u[1 I3 @+ H8 e! U& B d$ P' L1 X9 ]# ]
max-grain " }0 y; i# R- `6 c( ?7 `% J
7 V6 i2 l1 W- ?3 [ P
]( s0 i) _) q' ~) M' a0 c Q
' z7 Z( D) Z" C2 \# l' t: Ipatches-own
$ i. k: T; M- m5 a. d$ n+ F[# K6 X7 k9 B; W1 C8 j/ X
grain-here 6 K- x x' t. x9 B
max-grain-here
8 k( B7 a; m2 O9 ^1 e]7 S. Y0 O _% Q! u; {1 G( u7 G
4 z7 F: i V; K" l
turtles-own3 @6 |% u% n. d5 {
[
8 x2 w- x; F# c age 7 g% e6 z* Z+ |6 f! b: J
wealth
0 ^' p7 r$ _, G2 T3 i8 \8 y life-expectancy 9 D. a; K8 B$ h. @# o3 ]
metabolism 1 E8 V7 y& ^! x+ ~2 A
vision; J: X0 D9 P, i9 c. h% h) `+ Y4 _
inherited
7 C. _; ]1 ~7 \ l]* Y- U* g9 \% I) x6 `
8 H3 Q0 a+ Y C
- f2 f6 q8 [3 Z: L' Vto setup2 [( g) b" b# h5 V) p2 M0 J
ca9 m2 G/ s* D& i6 |1 `9 L: o
set max-grain 50 [/ m: K7 A% ^) J5 P
setup-patches
+ K0 N- H, q+ A6 e. V9 g4 W setup-turtles
4 D3 z$ u5 [2 b/ l5 D$ d setup-plots
( m7 S) ~" D( ]5 v" U update-plots
- y# Z* g0 k5 d* ?8 Mend
& r) L* ?5 {* J1 q! z1 |7 Xto setup-patches
+ N/ F5 y9 A2 G9 Q. T/ i4 o ask patches2 X1 z. f7 \& f
[ set max-grain-here 0) v2 C+ e: T/ L2 v
if (random-float 100.0) <= percent-best-land% ~; b! n! R& S. H/ y6 @
[ set max-grain-here max-grain' G: u4 u1 v8 p
set grain-here max-grain-here ] ]
* \0 z6 Y- I( Q# M* {* N repeat 5' ` C4 W+ C0 h. F2 W
[ ask patches with [max-grain-here != 0]
% j( [& {4 ?' G6 { [ set grain-here max-grain-here ]* Z. Z9 i" j9 G8 f) B3 K9 _) O
diffuse grain-here 0.5 ]5 I2 J! M& y, F
repeat 10
6 J. Z2 w$ r0 Z j* v' d7 h: x [ diffuse grain-here 0.5] $ t! [' w1 o6 q% q8 Q* e$ K h' c; F
ask patches' Z6 t9 S/ J' ^# X4 E! V1 ^6 N+ \
[ set grain-here floor grain-here
( S; F9 o2 s0 ?2 Y( f set max-grain-here grain-here ! ` I' z, D9 W. O
recolor-patch ]0 L, Y7 Y' K' [- c" A
end
' S# u+ J) u7 J vto recolor-patch 0 @4 H4 ?" u4 k+ k6 F
set pcolor scale-color sky grain-here 0 max-grain( G) k! k9 e8 G8 l& Z( l! |
end
' T6 E; Y3 q' D* B" Z, w9 |to setup-turtles2 f" H/ v" S) v5 L7 y; i
set-default-shape turtles "person"
* ?; L- z; ^$ a2 B crt num-people
, m5 s: M7 o4 ?. E4 Q [ move-to one-of patches
- Y: H; F- j- Z* j set size 1.5 . Y2 p5 |4 M' x: A. x
set-initial-turtle-vars-age, g' q% x- z* x3 P; e% @
set-initial-turtle-vars-wealth( } O% Y6 B9 p/ {" r
set age random life-expectancy ]/ y1 F! V3 D3 J I K' H! b
recolor-turtles
' c6 M' k, }# Q2 Lend
4 `2 t3 s! U7 ]
+ k3 V6 {3 |9 |4 ?) x8 ?to set-initial-turtle-vars-age
. W& X( p; n% \7 x( @" U( [7 O let max-wealth max [wealth] of turtles$ f7 m) S/ \' y2 n1 O$ @% c( C, e8 M
" n4 M* M1 i. d( h3 f) h ifelse (wealth <= max-wealth / 3)$ I8 Q l" R9 K: y
[ set color red 6 ]+ Z7 r0 O8 h: L
set age 0' P' o/ s5 L; \/ N7 |4 F* K
face one-of neighbors4
& M Z0 t1 f* N, q" w/ L, h set life-expectancy life-expectancy-min +
9 B" c8 [* d% r% ^$ K! K1 _# i5 x random life-expectancy-max . k; s! w5 K9 A- T6 D
set metabolism random 1 + metabolism-low9 m5 u* r9 ?6 w9 s7 j7 @
set wealth metabolism + random 309 K1 B8 ?0 K: Y, W5 z9 \: d. h6 W
set vision 1 + random max-vision
7 P, t7 D6 ~1 Y! Y set wealth wealth + Wealth-inherited-low ]
% O0 c; Q) B p8 K# s [ ifelse (wealth <= (max-wealth * 2 / 3))) z- D" c! I6 A6 {* a4 w& C# T
[ set color yellow 7 B2 t. D2 Y6 [% e0 C# A2 z
set age 0
8 `. K) J# u& L& m9 Q3 [" P! ^ face one-of neighbors4
$ i. t$ Z( H' f/ v; ]% w) H( X set life-expectancy life-expectancy-min +
* ~1 P$ h0 z, N( N) f random life-expectancy-max + 1: J6 T8 ~3 z. \, g2 g$ ~
set metabolism 1 + random metabolism-mid+ y: o; T7 M/ ^8 X
set wealth metabolism + random 30( @; l# \! v! h2 Y2 C. X
set vision 3 + random max-vision& b4 b8 h+ J% e! `& C: x
set wealth wealth + Wealth-inherited-mid]0 v) M! l* W7 E
[ set color green 9 Q$ s; U0 p) e( C- A" k
set age 0& s( M, c0 L: |1 O, v
face one-of neighbors4 ' x# {2 h2 Y5 A8 @7 j
set life-expectancy life-expectancy-min +' k7 a2 c* f6 B8 B F# T' \% ~
random life-expectancy-max + 2' P% N) h8 g! \. v; l7 Q( t$ y8 s2 X
set metabolism 2 + random metabolism-up; j( H( N! W e- s8 }: ?
set wealth metabolism + random 307 d; k) \7 Z+ [
set vision 3 + random max-vision7 J& B p6 x1 o7 g% D( T7 e' `
set wealth wealth + Wealth-inherited-up ] ]
: d& y% W( C6 B& p ~7 n% R+ v 9 C/ ]7 {/ I4 r# b+ O
end
2 ]- ~! z- O0 K- z7 k; m7 v8 Z! | G- Kto set-initial-turtle-vars-wealth
. @+ S% }( }) X& \3 X. N7 d let max-wealth max [wealth] of turtles" J2 Q& x# @2 V# g5 R2 Y
set age 0
2 ]# o% H _# N- u+ i) H2 ` face one-of neighbors4
7 Z) Y# v9 l7 r1 c: a. s, j ~ set life-expectancy life-expectancy-min +' W5 Z0 S$ J" i4 g# _
random life-expectancy-max ! @5 P2 v' v2 y9 ~7 \
set metabolism 1 + random metabolism-up) E8 Y( D8 J8 T+ e5 x+ C0 f; f' s
set wealth metabolism + random 30
) j3 x" S% g _1 o# [7 X set vision 1 + random max-vision
4 s8 @3 B# {1 U3 p- Bend
9 {: h0 p- y* |, yto redistribution+ n' b4 v5 B$ W1 L& g
let max-wealth max [wealth] of turtles3 g: X$ c' j$ L0 t
let min-wealth min [wealth] of turtles) G. B' M, c* V& E
if (wealth <= max-wealth / 3)
! W8 |* |+ C# A( `9 z5 D' s [set wealth wealth + Low-income-protection ]1 O9 L/ M5 }( `& {$ Y
end. m& ] ~0 G) q! \* y9 e: S6 s
) c1 s* m6 U4 k1 K- K% G$ s$ Hto recolor-turtles
8 s1 X$ U9 j1 E8 ?& a! T7 w8 E let max-wealth max [wealth] of turtles
/ T+ k; c f7 m! z ask turtles
" a/ ?- I4 ^8 s6 R' c [ ifelse (wealth <= max-wealth / 3)
* R& K9 d j- | [ set color red ]3 F) S) s3 E* L1 |. l! ]; z
[ ifelse (wealth <= (max-wealth * 2 / 3)): |: T. Y, U" ~! V3 n: ?
[ set color yellow ]8 b9 t9 [" w6 K8 q) A/ g
[ set color green ] ] ]4 k* B! R# N2 N* u" V0 E
ask turtles [ifelse show-wealth?
. [/ e# R, `/ W7 T" m1 i( c [ set label wealth ]
: x3 ]. m: H r+ O6 \4 e5 ? [ set label "" ]]
# A3 C1 G8 ^! o2 Mend
6 q0 V$ ]& x3 p, j0 d/ A8 o9 o& Q7 d
to go
/ w1 o" e" r# ]! n/ q( | ask turtles- j- J# W7 J" t- R
[ turn-towards-grain ] ( S+ m! ]! j0 k/ m+ p
harvest
$ u9 X9 {3 a* z3 j% N7 \7 x ask turtles/ p7 j$ z+ L4 M. I2 ]5 C/ O% x
[ move-eat-age-die ]
$ Y% U( a* f9 E# g& w& |, l recolor-turtles
7 g7 v7 S8 }/ K( n* J if ticks mod grain-growth-interval = 09 @, g( ^3 G3 n, S5 [
[ ask patches [ grow-grain ] ]" |: U: ]" l& U) J. E# x7 i
8 M! s8 s3 h* \8 O+ i, u3 [ if ticks mod 11 = 0$ h N k; N% W8 o
[ask turtles, p; h# i$ I4 ~& o
[ redistribution ]]
6 u2 L; e" n e; v( s8 G if ticks mod 5 = 0) w& r- C; W" q* l0 \6 L
[ask turtles3 g F2 ]: D% h& }
[ visions ]]
* x, L! F5 C+ Y5 O7 A# G) g tick6 ]+ u+ {1 r% ~+ B$ {# `- g
update-plots. ~# c3 ?9 g& i! n( k2 m& |
end
8 s$ a1 T" ^# y0 ito visions
; ^& ~/ f+ U* w set vision vision + 1
6 ]' t1 s$ X; F' Q4 X) H& i8 \end
' v$ k+ c- Q8 l6 v9 _7 m8 V2 { p5 @
6 w) t. Y$ H) O& _
0 k S1 b3 k2 I$ H8 i. {
6 W) O: Q% c( z5 Oto turn-towards-grain
; N0 X: `4 @- G set heading 0
3 @9 V$ m; M! ^4 s5 y) B let best-direction 0
5 @7 j1 E+ P' |# p4 I let best-amount grain-ahead
) R5 x1 L! U" N- I$ T$ a" \ set heading 90" N4 S8 u$ W& _" P: d
if (grain-ahead > best-amount)
/ U, V' M0 p) Y! _ [ set best-direction 90
! k5 s! n" z* r set best-amount grain-ahead ]+ e1 v9 x0 {6 Z( E, |! A$ v, @
set heading 1807 [( _7 o; y% \
if (grain-ahead > best-amount)! ~5 d2 v, d- B6 j/ ]) K
[ set best-direction 180
3 m& R3 t7 e* L set best-amount grain-ahead ]
5 Q7 s1 L7 i$ t. z7 j set heading 2705 s1 c4 Q, C3 K0 o2 P# P: w; G! P: M
if (grain-ahead > best-amount)
+ w4 N( h/ y3 |' q* |7 R [ set best-direction 270
$ b U! ^+ b% z( m! e set best-amount grain-ahead ]0 r+ W# c2 k' {$ j
set heading best-direction Q3 `$ S6 o$ b, P* ]
end; e; Y1 q8 ^6 Y/ i
* _6 o) G) e. J: @* e3 n8 V3 p$ L% g3 {! n0 @& t
to-report grain-ahead
$ R1 R6 {1 m2 o! R% j" L let total 0
, Y6 N& d, t; Z9 p' C4 Z. B# B7 h let how-far 1! W; ?& y: J7 N5 j9 F% f/ l
repeat vision- E- n- u- m2 U$ x* T4 i& U6 j( X
[ set total total + [grain-here] of patch-ahead how-far
9 O4 y, V; f% } @# {. l) m- W; V set how-far how-far + 1 ]$ ?; t6 Q5 L6 \! \2 P
report total
7 X$ B. x. a+ o s& ?2 Cend% r( I! t2 a g
0 X/ n0 f% H+ ?, g
to grow-grain
- [% H9 p" {% F" m h if (grain-here < max-grain-here): {1 j, G! F% C
[ set grain-here grain-here + num-grain-grown
) W% M! V. u3 N2 |: {8 r5 k if (grain-here > max-grain-here) " i- {5 K% G, u& U; v
[ set grain-here max-grain-here ]% Z4 n. j% e+ d) t6 Y1 c
recolor-patch ]. _( T! w( p8 N5 f* N% R
end @. S9 K# N5 Z1 ]' R5 a J
to harvest
3 e/ n. G+ G! _5 E/ a/ z5 L ask turtles
F. G1 d: B5 W- [) k* p- A9 Z1 p [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
, t. ^% m i" Y6 P ask turtles
2 m) ?) y% A+ o [ set grain-here 0" I0 B& a* s ]9 E- y- Z; I5 b
recolor-patch ]
5 L; ^& ` h8 _/ T3 n
: w- h6 g- G% F# { ~) P, c# g( Eend
4 |! Z h* \1 B0 p9 r0 h9 P2 p+ q' Z% F2 z1 I( V
to move-eat-age-die
# y# j7 B! T4 |; D9 s fd 1
+ ~% K$ c( Z* G* y* m( H- ^- A set wealth (wealth - metabolism), u8 V: k- _& ]! ^
set age (age + 1)
/ K& b0 m6 ~+ p/ T5 P( \5 P if (age >= life-expectancy)
, C3 C! M+ E! ]1 e5 K, p8 n [ set-initial-turtle-vars-age ]
: `. [" x1 y2 r if (wealth < 0)
5 n/ o/ g! f, R" M* j. T [ set-initial-turtle-vars-wealth ]
) j0 I0 k( y$ \" O ' s2 k4 M3 `% b5 {. s
end7 d* J! b( M) W& Y! Z
) B6 \4 K/ W T3 F6 Y# |; z
2 X" o, d% u8 Qto setup-plots
& T. Y+ l! D; ?4 }+ r1 ]9 _" A! s set-current-plot "Class Plot"4 f' ?* l7 E5 y; \- S0 D" \
set-plot-y-range 0 num-people8 C/ T4 A) C& T c5 Q
set-current-plot "Class Histogram"
, X* T& i8 O* C set-plot-y-range 0 num-people
5 [: X) h; _/ v, k3 tend
$ @9 Z$ m! U$ F5 v& I& |
/ e1 D$ ]9 y/ q+ a/ ^3 kto update-plots
6 X) e+ N. G/ l update-class-plot9 Q( |) t" Y T( T c
update-class-histogram
- f& o& Y0 ^+ @2 h update-lorenz-and-gini-plots% p' J; m5 D, L. k4 U3 @
end1 x' S2 y4 {- B% E
+ B3 S" g% D* c& g- |to update-class-plot2 I+ A: _5 s: P9 F
set-current-plot "Class Plot"
0 f# d Q- ]3 s3 q4 p) r set-current-plot-pen "low"
% @% K7 x8 T' O$ Z" j plot count turtles with [color = red]
3 }6 y5 ?$ S: G$ E- {# Y0 d set-current-plot-pen "mid"- }0 R" c) O, b7 C
plot count turtles with [color = yellow]. f/ ?2 K9 c" Q
set-current-plot-pen "up"4 ?1 {; Q5 t$ y* w# V2 T7 r/ O
plot count turtles with [color = green]( g1 S2 q$ q1 ~, x
end$ K6 e( @0 c+ U9 x" k
+ p, J7 \ f w9 |to update-class-histogram! l) y5 K! e* a) a# I) v/ F0 i8 a% {* P* H
set-current-plot "Class Histogram") C+ ~2 C, N3 {$ A
plot-pen-reset
- D5 e( |# b( W set-plot-pen-color red4 Z( b! _( x" [* l: a" j6 z) G t2 i
plot count turtles with [color = red]
6 G4 z5 @' K8 z1 S set-plot-pen-color yellow9 q- i/ m5 H! q. [6 ^# B( X$ f
plot count turtles with [color = yellow]
) @8 O5 U% @$ g1 l( { set-plot-pen-color green
6 H, S/ }( x: J( A' x plot count turtles with [color = green]0 o3 t Y; g# q; D# S
end
( L% G' \' }8 l6 _to update-lorenz-and-gini-plots
; ~% p, b1 [- N& J U; E set-current-plot "Lorenz Curve"8 l9 ?4 K/ S, _
clear-plot
7 H$ u+ B: t' I3 Z! e
. @/ f5 E: b1 x& h9 y set-current-plot-pen "equal"
% r- F3 f1 @: g2 Q8 J plot 0+ g: Q# J! f0 X* n3 ?* \1 i2 Y
plot 100
4 t5 I/ F# v+ |2 ?0 G7 E) Q( s. r* c1 d
set-current-plot-pen "lorenz"
7 r7 H' G! r5 T1 q7 Q% d3 w9 e set-plot-pen-interval 100 / num-people
! E" Z: J) v/ f) n) G plot 0
$ c- R, _3 t! O! ?1 O% C8 j* Q" {9 A$ T
let sorted-wealths sort [wealth] of turtles2 Z) k. _" ?( V7 a7 v ]: ~0 m
let total-wealth sum sorted-wealths
# l( }* M4 L' h( Y4 m5 |/ h let wealth-sum-so-far 0
! I9 p, Z8 p, U* Q+ H& H; V- C( V let index 0
, R4 ]6 b9 |: H let gini-index-reserve 02 \, L2 n. I0 @0 @+ Y; L# T
$ I1 D4 ]3 }/ j- B5 G9 M repeat num-people [
. M0 V4 L; w' @1 k4 @4 E- J a set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
: J+ w: \/ R( a plot (wealth-sum-so-far / total-wealth) * 100
) B) z" R$ c g2 t# C6 n set index (index + 1)
* O9 Y/ h* u7 J4 s5 @6 E set gini-index-reserve8 n6 D# d: u( z- F. F! f0 d& ]
gini-index-reserve +
( m" t3 ?, \/ u (index / num-people) -
1 D7 V |0 `/ D$ S (wealth-sum-so-far / total-wealth)1 j' ]9 P" I$ ~ Y# u0 H/ i" [
]3 R8 D% M8 p: w) Q5 V
6 X/ z: z& o/ P6 F
set-current-plot "Gini-Index v. Time": b0 n$ O$ T7 y& R: A
plot (gini-index-reserve / num-people) / area-of-equality-triangle# ]/ N6 \* a7 `" O+ O$ Z
end K" a7 e2 ]; X
to-report area-of-equality-triangle
2 Z5 e+ ]; q/ Y# j+ R report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
0 G1 C3 L9 T j& B# rend |