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" N; t- C/ B' |$ [2 }% V4 q' G
globals
% b8 ^7 W. g& V. \0 g% b[; X: \- r- J8 ]) Z; ^: A
max-grain 1 |/ C- T3 E8 d
! n. Y3 Y Y& M7 I
]6 r# v% C: I& K, V) L7 h$ H- k
8 e9 }7 b1 o$ C+ x/ u1 ]
patches-own# d% C7 n9 T/ `2 n0 @) X
[0 j% t8 z" \, ]7 ]3 Q; \
grain-here
& A- s |6 p3 e" {% s max-grain-here ; Y8 `3 b* o' o
]- M+ [; d# g; Q$ K' [
4 Z6 D3 n5 ^$ Q0 |" u' _2 aturtles-own
' k9 b$ p) d8 c" t N5 Y[
1 u7 ~& N. z' [! k age # o& k! [. | x
wealth 9 R; G+ C' L9 C5 U
life-expectancy 1 P5 R! D3 O6 r) u
metabolism
|( e* J! J5 S* t2 Y: X i) c vision: d# I. `* M9 K* J) q
inherited
" k' [7 I# p/ V2 D]
# l; J, ]7 [* e2 [) B4 c' s4 v( N7 T4 n) ~; O/ Z2 x8 l
6 @6 l3 C! S; }, Pto setup* z0 z/ U% U: K7 }) p: ?
ca; B5 w* W! D6 |- v" l
set max-grain 50
( o y1 V6 O0 k {2 w9 H6 Q setup-patches
6 w( O: [5 G( `/ P# W/ N! x setup-turtles
/ q+ m# O4 R5 h5 t e. L2 C0 L. M setup-plots
7 g$ e$ C4 a1 B1 Z( j6 \7 `0 y update-plots
1 ^6 X% a+ y0 g% U! ?" \end+ N2 _& p3 d. Z
to setup-patches3 c# l; w7 S o$ [( B
ask patches1 `) V' O- t" ?: [: F: w- h
[ set max-grain-here 0
8 O3 J# h% C/ {9 o, Q, F: V if (random-float 100.0) <= percent-best-land
5 Y3 T& ^* C g6 o6 d1 O [ set max-grain-here max-grain' I# N+ Y& @' x
set grain-here max-grain-here ] ]
. y$ M5 a) T2 @! a) Y/ T' K repeat 57 v' y8 F. }+ [3 g3 M6 l+ I2 H
[ ask patches with [max-grain-here != 0]( F* ?" W( \2 q+ c
[ set grain-here max-grain-here ]! C' W) A& n& ?' n; g
diffuse grain-here 0.5 ]
/ B# C; @6 u* {! } O1 L3 F repeat 10+ s: R& K- c9 j! t! N: k. q
[ diffuse grain-here 0.5]
' A" q; \5 H& F- \4 k ask patches
$ }* }3 Q! z# _; V/ G0 M [ set grain-here floor grain-here % L s% e8 Q/ I( N+ p5 i
set max-grain-here grain-here
! n) ?5 u+ E8 p, X recolor-patch ]
& b" J4 U! e+ j9 {end
0 ?6 t {/ ]' _to recolor-patch
1 _+ B7 f* R" r, W set pcolor scale-color sky grain-here 0 max-grain) G( P: d4 D" T } T- m. ~
end) x0 @8 R; U7 M5 u+ x; G
to setup-turtles
G& U4 U; p7 B set-default-shape turtles "person"
3 W/ M( V( w/ `8 ?& A9 ^0 X crt num-people
( k! D* g" X& |1 `' F [ move-to one-of patches ) Y4 v9 ~& W+ x" D ?0 N
set size 1.5
1 k% n4 P' N' S; q set-initial-turtle-vars-age
' B2 b! u7 m- E( T( y set-initial-turtle-vars-wealth
8 c- ]4 w$ l) h* h6 @, B8 m, i' m: C set age random life-expectancy ]+ [1 s% ^" C# p6 ]2 H
recolor-turtles
* ^$ A- c2 e4 D4 T+ E) c2 ~end( B3 f" U; D8 e3 D5 t' t& \
$ T- V/ ?+ ]4 o7 _. S- V( c
to set-initial-turtle-vars-age4 c9 i+ p; l) c4 z& @7 Z
let max-wealth max [wealth] of turtles; b- L# } V* n" M
/ g9 `0 A7 B6 X ?/ I+ x! m ifelse (wealth <= max-wealth / 3)
% S& j0 G! p/ j- w0 L8 z [ set color red 0 n. c/ N$ ?) M" C4 I/ G
set age 0, ~. @3 e* i6 X# d5 l3 I
face one-of neighbors4 8 U. \0 s. o, A v( l9 {8 Q: [
set life-expectancy life-expectancy-min +
0 ^4 x2 r) o8 M random life-expectancy-max 4 M( O4 E8 ]" P
set metabolism random 1 + metabolism-low1 v' d8 i! m! N( |. Z
set wealth metabolism + random 30
! U* W' `1 S& C; R8 S/ w* i/ \8 ~ set vision 1 + random max-vision
9 R2 ~1 x$ d; I& |* h( K set wealth wealth + Wealth-inherited-low ]% P; |8 s, ~& q/ E0 r6 n
[ ifelse (wealth <= (max-wealth * 2 / 3)). O/ {0 w( _% {- r2 } d1 H, G/ _3 V3 c
[ set color yellow
& O5 A# h5 B: ?4 S% Z) Z set age 02 c- q1 f' w2 ] T. D0 q$ ?% Q# _1 X8 r
face one-of neighbors4
. D- I" t2 N# K2 @ set life-expectancy life-expectancy-min +4 P) x8 Y9 T3 G, z i0 {7 }
random life-expectancy-max + 1+ b; ~% M( J+ g0 ] s4 t
set metabolism 1 + random metabolism-mid6 @9 K; S' G5 l0 d
set wealth metabolism + random 30/ g; Z5 N" w$ L6 L. z! W; l' w+ b, [: _- D
set vision 3 + random max-vision; d" V* x$ q3 b! g1 d3 d |+ t
set wealth wealth + Wealth-inherited-mid]( r- O* V9 \' l7 f6 e+ A) u
[ set color green . S! e6 V6 z; z+ g
set age 0
8 F. T( `" F6 \5 k# @' A face one-of neighbors4
& N& g) C1 w }8 x6 G set life-expectancy life-expectancy-min +
6 L4 k. w, @( |* |+ w random life-expectancy-max + 24 A- j- a9 ?8 u
set metabolism 2 + random metabolism-up
5 V: C- Z! J. ~6 b! K3 @ set wealth metabolism + random 30# i( D8 \9 c* `' D" z
set vision 3 + random max-vision5 [' R, P. Y/ p7 b( H/ h9 ~0 J
set wealth wealth + Wealth-inherited-up ] ]
5 e7 W( Z5 b8 k0 \) Q! ]$ B" r " E. M5 N- b# W" ]$ d' |; p
end7 v# E6 Z! H) Y
to set-initial-turtle-vars-wealth
: E% p% d, t( R+ w9 h F let max-wealth max [wealth] of turtles
: i& R9 j; y6 L! D+ X4 I* q set age 0
5 C$ k0 `" }5 R face one-of neighbors4 @' O7 y- Z1 s1 P) Y3 g2 v+ ?( E
set life-expectancy life-expectancy-min +
6 J2 a. {/ r9 z. r random life-expectancy-max 3 V4 z/ B% }5 c9 Z1 l0 D3 Z3 w! B3 N
set metabolism 1 + random metabolism-up
6 `% j: W s* l+ {" E0 f set wealth metabolism + random 30/ i4 U" n' z! g4 h+ t7 M; V7 w
set vision 1 + random max-vision 1 u" B: B, j ]1 g* @! ^
end
) }, b+ z& t9 e ]# o7 k1 ito redistribution
U4 Z8 Z1 m+ s; [! E3 {/ G9 U2 clet max-wealth max [wealth] of turtles: E; ?" z# q% _" `, B D3 p/ a
let min-wealth min [wealth] of turtles
6 j4 v! f4 l( W4 X& Aif (wealth <= max-wealth / 3)
* P, E* u# l3 m [set wealth wealth + Low-income-protection ]7 o% C' r4 O2 Q) p! W, C |# n
end
2 K* b: x$ u" w
4 i) O6 y/ o1 e" v8 n" sto recolor-turtles
! @# e: B0 f5 i let max-wealth max [wealth] of turtles% G9 x+ y4 q8 ~) B! w9 G0 ]5 k0 R
ask turtles/ r4 W; |. X" b# o, w, x# N
[ ifelse (wealth <= max-wealth / 3)/ u+ L3 W2 o P8 L, g8 n
[ set color red ]
1 K: L4 o( {1 y: y1 Y [ ifelse (wealth <= (max-wealth * 2 / 3))
8 `) o- @( |! M. b0 E: R3 ~ [ set color yellow ]
- Z+ l* E5 `2 {1 ~; b4 e [ set color green ] ] ]
* `& e0 B; f8 P. E3 h: R ask turtles [ifelse show-wealth?) J/ Q( i6 ^* Q
[ set label wealth ]
$ n2 h: S# C2 ` [ set label "" ]]
- \; y4 {6 x. _0 Bend1 [( j8 e9 X' n
3 j# K/ C3 X* E; M. Y. C9 Z' a& h3 }
to go
) l; p6 R- ?7 c, d8 R8 | ask turtles
+ \' |: j) w' ]7 } [ turn-towards-grain ] ' L% S0 J: q$ o1 ?
harvest
+ z4 ^) \2 F& m( l ask turtles. Z% O" M4 r) M6 f& }
[ move-eat-age-die ]6 I5 s/ ]* i# P$ i, P9 [; A) a& y7 K
recolor-turtles
2 |& J% ]; E- h: d if ticks mod grain-growth-interval = 0' P6 a3 k, H; U" U1 N: F; x9 ~2 E: n
[ ask patches [ grow-grain ] ]6 j& [! b5 F3 ~* l
9 E) g7 n& v2 d) }
if ticks mod 11 = 0
( x) }: |, N3 R2 M/ N" T2 [ [ask turtles
! }. f& p- z" i9 F [ redistribution ]]
6 w, S+ O. e# d* m N if ticks mod 5 = 0: i" M# r) A9 K* _( |! n' l
[ask turtles: _. q3 _" b7 N x
[ visions ]]/ A4 c/ J0 V" U* i2 J
tick
- v' M G' _( ?/ k3 `9 E update-plots
2 f) H+ o8 {- |/ `. D9 Kend& R$ g. `$ S! L4 l, k5 J9 D. n
to visions
# w! ~0 Z& E( v% M4 f& K0 o set vision vision + 1 # ^0 ]- X) ^- ~& B
end O+ |8 w! y4 {" r# K
9 ~+ k8 f$ ^9 Q% U" E- B( M
, W2 x% {5 G9 L/ r" y" j/ q( ^+ d
* t$ d) N, M& a! g- ~* qto turn-towards-grain , x) f6 h6 G* ^$ `+ P
set heading 0" I7 _5 d7 L. U) O- j6 ? D$ f
let best-direction 0
9 c) j3 w+ G3 D; G% V let best-amount grain-ahead
6 I7 l# U; G1 d7 _ set heading 905 ~) T9 ]7 c4 r/ `* c+ y
if (grain-ahead > best-amount). S% p4 l W& ~; g; s0 b( c# c
[ set best-direction 90& O+ {3 R1 g g% ^0 s
set best-amount grain-ahead ]
; l% P+ n& U9 ~% O set heading 180
}9 M" ]. n: R. ^' _9 C if (grain-ahead > best-amount)
7 M7 V: o* M0 k4 z4 e8 G [ set best-direction 180 b$ s# w8 Z/ M8 R2 W& p3 Q
set best-amount grain-ahead ]
& C% l7 k) K8 O4 P9 r5 A( p) r set heading 270
/ C% _/ S% t* C& g& S5 t if (grain-ahead > best-amount)
+ }6 s/ P* z' B0 `/ }: m* X [ set best-direction 270
6 ~! p/ ?/ v# ?7 b/ B8 `% {: a set best-amount grain-ahead ]
6 L7 [" d; ]8 ^* z: x7 y set heading best-direction
3 q. n8 s" I" r" X% i& D! P: S$ lend
* g7 J" B9 B f7 |. R/ J/ h; U7 T7 ?2 q# L! X) k& P
% K% \3 |0 z/ I6 |
to-report grain-ahead
5 E; J4 L2 [8 Y; N: }' f let total 0 ` N7 C. p& R8 A1 _9 `+ _
let how-far 1' O- `7 [9 s( R6 k- K
repeat vision2 q1 C3 K: e' S4 R }# q
[ set total total + [grain-here] of patch-ahead how-far& h9 G r2 B+ Q1 {
set how-far how-far + 1 ]$ i) b% U- l& b: |, {
report total+ T- o7 a( W. ^# {5 x% _
end) ?, T4 t6 }7 y2 }
2 o9 n' G6 K, P- w" ito grow-grain + [9 J$ c8 L4 j7 \: S
if (grain-here < max-grain-here)7 n B% R: Q8 r2 [" }$ N, l
[ set grain-here grain-here + num-grain-grown
- O. A7 F6 P; K; G/ u* n6 P if (grain-here > max-grain-here) $ _; Q+ {( c* f' s' _3 x" |
[ set grain-here max-grain-here ]1 `5 j: W. k3 a' [5 o5 d
recolor-patch ]9 E* C. h& X$ t9 I4 f2 P4 R# p
end
0 P4 f5 v$ O# F" D9 o& X# k2 Dto harvest
" n1 g3 T1 m( S: p! r ask turtles
" H3 x+ _6 E; T. \* V3 | [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
# K9 B: }4 m8 @; ?8 T ask turtles
5 D, i4 Z3 [# z4 I [ set grain-here 0$ F) P: O6 I9 a
recolor-patch ]
2 n) ~5 p& d/ b $ c- o0 {% \5 `
end, s8 P* N- n4 a3 j4 y
8 I. O: v4 A( G/ i& i
to move-eat-age-die 6 \# W- e4 r7 V
fd 1
% F( E1 x2 B1 }& I" v! M set wealth (wealth - metabolism)- I1 s9 @* `- i8 i. v
set age (age + 1)
; `7 j! j3 W8 q+ ]& U% P8 K* v if (age >= life-expectancy)
' l& R2 X* F& I$ L) ~7 b# d) x [ set-initial-turtle-vars-age ]
* ^1 _+ R* n2 y$ R if (wealth < 0)
, V) d. m4 X' o( Q2 |' e% @ [ set-initial-turtle-vars-wealth ]
* W9 `' _/ O7 O. _ 4 n) G+ G" \1 l. z, Q0 N. e9 V
end
3 y* h" Y0 A' s7 P. D# n& t* K& M, S' O3 k, |6 b) {9 Q0 j* Q
: B' f1 c. P8 c9 e
to setup-plots* l# d; Q' k" Y
set-current-plot "Class Plot"* h: {( u! c! y
set-plot-y-range 0 num-people
' l: M. ^! `0 d! D8 F3 f set-current-plot "Class Histogram"+ Z0 \2 a* W) W- Q
set-plot-y-range 0 num-people
' o0 u T* g- F) S+ n$ n7 Vend& u0 h$ z& {& V* v4 ~/ V
. j( l) a6 T& o$ }8 J% i1 z. O. o$ yto update-plots& G* w) D) B7 A& u" @% \0 s' U
update-class-plot+ }' F/ V' E* N' ~3 U3 O# e
update-class-histogram
# |! Y: [' q0 _% O update-lorenz-and-gini-plots
, H T6 N! L. F/ V1 w$ d* Wend
8 c8 N2 ~" y. I$ m. Z3 \. U1 w; [' a6 M( N! {0 A
to update-class-plot$ ^5 H* O7 i/ R" U z' K9 d
set-current-plot "Class Plot"
( Z( J) t D7 V+ h$ Y" S6 e5 Y) r$ ] set-current-plot-pen "low") {/ c8 n" V1 E- z; \/ Q- {* r
plot count turtles with [color = red]9 B$ }! c9 X& P0 a0 t. F% e5 R* h, H
set-current-plot-pen "mid"
; h3 O; k$ u. G! v plot count turtles with [color = yellow]
0 B2 _5 j H/ Y. g# x set-current-plot-pen "up"
5 E5 Y) G% J: H! T' h, x* z$ O/ { plot count turtles with [color = green]6 n2 p ~! U4 _& R0 l& }
end$ f# o/ N5 u& X9 P+ {; E3 R
( g3 j2 T, j7 ^9 L7 a- `
to update-class-histogram- G# s# S9 k8 D3 k# f* n# l
set-current-plot "Class Histogram"
6 s9 i9 m. N/ |: S% ` plot-pen-reset
' H# z9 u+ j, w0 y. j5 R$ \ set-plot-pen-color red
6 `; u3 |5 v6 c' z# Y8 W* ~ plot count turtles with [color = red]
' G0 m4 [% d7 p6 ^, c# \ set-plot-pen-color yellow Y. W! L3 i% w& r& N0 C
plot count turtles with [color = yellow]. w- a& }4 M: R9 x
set-plot-pen-color green
* R4 p9 \+ S5 d9 e2 j plot count turtles with [color = green]
6 i4 p5 K5 S& @ l/ ?; l/ P5 R+ Pend2 z, m, \7 U- `
to update-lorenz-and-gini-plots: C+ j! Z0 M6 N0 r/ Z4 C: H% ?! |
set-current-plot "Lorenz Curve"
S* p: S1 w" l; y( Z clear-plot! d+ Q* E+ i6 o7 ^1 `4 v
' z0 m/ ^( D& Q$ Y1 u, C9 s
set-current-plot-pen "equal"- i- [+ H7 d0 |
plot 0
7 `! v4 j1 h. }5 a. _5 E9 a5 ~ plot 1008 S' a1 V" |: I( s3 B
# ?8 `, p' p! V: T( ^9 a
set-current-plot-pen "lorenz"# v1 S9 |+ ]/ B6 ]4 C
set-plot-pen-interval 100 / num-people; ?- _- [. L5 s- O
plot 08 U; w8 Y& [ G$ Q* K0 |
1 _* p' x( k! L/ {+ a* d$ k$ k let sorted-wealths sort [wealth] of turtles% z% {: z) {/ l2 o
let total-wealth sum sorted-wealths
( p- O5 v- f5 E- w: u# w let wealth-sum-so-far 05 \% e# W) O$ Y
let index 0
; w2 q4 J, H. b! Y5 e |/ { let gini-index-reserve 0: _5 c! U* R- X$ D% H. ^- `
% h' {8 P% x+ i/ p" o+ e) q f0 U
repeat num-people [/ e; \/ e! @0 h8 \5 n
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths), Q! d/ C* e) l0 p6 z
plot (wealth-sum-so-far / total-wealth) * 1003 |& \! m' u: N4 G, J3 p
set index (index + 1)# [0 x5 q, V, O+ Y, ^3 R N' X* j
set gini-index-reserve+ U- _. L* O& x+ w. Z7 Z
gini-index-reserve +/ i* Z1 Z! A# K; T; V/ O; y4 b0 J Q m
(index / num-people) -( d* b; O1 c8 g/ V. E
(wealth-sum-so-far / total-wealth)
# S3 ]% ^% D4 P" v9 H# a6 U) r, z { ]
+ P6 _3 G+ L; O D. t, h
+ Y$ v) R) ~' m& ` set-current-plot "Gini-Index v. Time"
. u, F: P# @/ j1 \* d: K plot (gini-index-reserve / num-people) / area-of-equality-triangle
3 G# y! A. P* t( z2 yend
2 I: J# R. h/ O; i$ |' x) t% n Tto-report area-of-equality-triangle
+ k: ]" @+ n# j2 z, _ report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
- p/ J8 ^7 J! t& \+ [9 F4 pend |