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8 y( l& j8 W2 n1 h
globals4 x- L$ H" P# Q" r x4 B/ j
[
6 _& e& A; ~8 f: F! J. i max-grain
2 c& L3 N! m% p: P( D6 l1 W$ }
* e1 H* Z3 t. K6 j* b0 m3 ^. B]' q y1 u0 H- y$ n( G( {
8 {0 ]# D8 l6 u2 S/ W9 b
patches-own
! [- d. n1 I. o. U( D& y1 P' R[: Q9 h; a: Y1 r
grain-here 8 t- q: t8 n! v) s
max-grain-here
1 E+ B( P7 n7 O0 D] r+ f6 \: W+ }) O% _
8 Y d! C0 w- p3 a8 U' _
turtles-own, l( Z3 W. f [6 C; L
[
' |" }& \+ T2 \) \1 Y6 e$ S8 p age 5 W# h1 g/ D: f% _, n: `
wealth ' O& B/ r1 G. }
life-expectancy
( w1 u6 \- l& u _- l metabolism ' V4 M. y6 J5 u+ b; H
vision
2 @; `+ z2 p$ j% c* g5 i inherited
% n5 _$ ]8 ]1 m9 X]
4 P7 E2 [' B2 l/ a5 y E q, G4 J6 P' a. L/ H1 k3 E. ^/ A
9 D9 G( ^' U# k2 V
to setup0 n2 @% @& l+ K! g
ca+ @/ P0 C7 x2 A- a, u! G
set max-grain 50% ~/ x! U/ ~. ]0 a" X) i- w, X
setup-patches6 b% M0 w) @3 x- } a
setup-turtles g0 D. |$ g" l6 A- M
setup-plots9 L7 z' k8 \- _3 V3 W. L }
update-plots: z) ~; e) N( _# d8 F& I' {
end
# w h7 n- l/ ]/ wto setup-patches& L/ S$ o2 j2 k9 m
ask patches
9 q C/ U, k0 v' o0 Q2 P& P; {" h3 e [ set max-grain-here 0
7 s$ G( J8 N$ ` g& t. A, b( C if (random-float 100.0) <= percent-best-land7 ~/ u, L( ?$ ~7 Q0 j4 ^
[ set max-grain-here max-grain7 H) }. @& C6 L* ~% q2 X4 V
set grain-here max-grain-here ] ]) t4 s9 z2 n/ _' A, v# ?
repeat 5
4 Y4 M% O! e) G( c [ ask patches with [max-grain-here != 0]
. S- p+ I W) E u! J4 n [ set grain-here max-grain-here ]
7 u- B: d3 y2 K" v diffuse grain-here 0.5 ] K# I1 c+ B; P
repeat 10 U- j( D# ~* Y
[ diffuse grain-here 0.5] 8 i- G5 L) q* [& L
ask patches7 t a1 x% ^& d, ?2 c+ S0 e
[ set grain-here floor grain-here
* p" u7 R4 g" [& h: ~& d" U set max-grain-here grain-here 3 K2 W/ r( Y L( V c7 f } [
recolor-patch ]
l8 P) j2 a. x& h* q; yend( G4 K% r+ P$ n: J( c$ h8 g- s
to recolor-patch {8 M4 [* R: S; [1 R7 N/ n6 l
set pcolor scale-color sky grain-here 0 max-grain! K7 \. w; s0 D _% }
end E! r6 ^* v H1 W9 a2 b
to setup-turtles: w' ~1 _# a1 j7 h
set-default-shape turtles "person"8 s" j) C, U- v9 @
crt num-people- s# B9 x! @: z" Q
[ move-to one-of patches
* ~/ f ^! e+ L0 x8 Y0 z2 H set size 1.5 0 _" v( h8 P Q0 E: R0 w; P" x
set-initial-turtle-vars-age
2 w# e$ O* Z$ T7 [ U1 [# A% c! Q set-initial-turtle-vars-wealth
9 T) I( G- E3 z6 q set age random life-expectancy ]
3 `* [9 H, @2 ~$ q7 j recolor-turtles
Q( q: K! q0 R( N* E+ l1 [end( ^. a) h4 X* h5 I
) b7 m8 n. @" Y( t, J+ C* S; vto set-initial-turtle-vars-age4 _. T% t; W5 V" a
let max-wealth max [wealth] of turtles3 G# U6 p& {3 {9 U {- y
+ o2 U% x( ]3 _1 d
ifelse (wealth <= max-wealth / 3)$ p z& m0 R( v3 \$ @
[ set color red
! i" X, E9 H$ Z1 Y+ L$ y7 x set age 0: B/ [' ]% z! J8 H
face one-of neighbors4 ! i+ }) L/ G6 A' ?9 J1 k. \$ T
set life-expectancy life-expectancy-min +
8 Y ]3 R; _( B! o2 _( M random life-expectancy-max
5 W) Q' L# f$ {6 b9 X set metabolism random 1 + metabolism-low
1 [0 A B m# }' F/ Q2 J- T set wealth metabolism + random 30
( W. A; q1 L; e set vision 1 + random max-vision
4 s w3 j7 Q+ C Q& M8 o& S$ P set wealth wealth + Wealth-inherited-low ]0 R! i* h" n4 s8 J# d8 e
[ ifelse (wealth <= (max-wealth * 2 / 3))
8 |% D" g1 d- U [ set color yellow
- H% ~/ X5 I" o( N3 S$ ] set age 0
# T1 t/ d0 [5 C( o. {5 X, z8 m face one-of neighbors4
7 q3 h& _* v9 v: | set life-expectancy life-expectancy-min +
1 b8 f5 [) P f r* c random life-expectancy-max + 1, x: U0 _, k: g( T# A5 z/ ]
set metabolism 1 + random metabolism-mid! C- u( j6 m9 m: z
set wealth metabolism + random 30
3 t0 w6 \' w" S set vision 3 + random max-vision- o" I4 ^; A# f$ p$ J& h
set wealth wealth + Wealth-inherited-mid]# u7 Y' j1 r, D. @4 K+ Q8 ?4 ^
[ set color green & [5 K+ m9 ~/ u# }: h k
set age 01 t# x4 P' I# @( C3 p7 @
face one-of neighbors4 7 q/ X! I9 C) {2 w6 d1 V
set life-expectancy life-expectancy-min +
8 i+ G' _+ H1 P: P random life-expectancy-max + 29 u# V$ N" [; V
set metabolism 2 + random metabolism-up
; D6 L" U' @ `8 n set wealth metabolism + random 30) M3 c* S6 p- _6 R! z$ b
set vision 3 + random max-vision) g& N; {' E) Q* r7 e" T
set wealth wealth + Wealth-inherited-up ] ]
( A0 A5 g* Z) o# t 0 m4 B& ~ \1 c: D7 j8 K: k6 b4 p
end. k& w0 v, q+ r3 `/ x2 Y4 V
to set-initial-turtle-vars-wealth G! y, o- f5 T$ f5 B
let max-wealth max [wealth] of turtles
. J1 U W4 _; ~3 _2 ~# r set age 00 m; |" w4 m/ m7 E# e2 |7 I
face one-of neighbors4
! I3 W0 ~% I6 }- K% y8 }5 o set life-expectancy life-expectancy-min +, m1 Z% `+ O- E4 Q8 z
random life-expectancy-max
3 i; \, z& H, c& a( d set metabolism 1 + random metabolism-up
! y/ ]: t+ T$ O9 [+ k% x set wealth metabolism + random 30
/ ]" J* C5 m# R2 X5 O% e' ] j set vision 1 + random max-vision
7 X, o- S3 Q! F$ ]- E4 H7 dend
# A; \' l8 }7 v0 ~6 g" vto redistribution. t6 l' u8 Y) l$ X# }$ S: T
let max-wealth max [wealth] of turtles
7 V1 f5 L+ ~' C- f. Blet min-wealth min [wealth] of turtles
5 ~- T+ u1 R$ }8 W! @$ e3 c( U: dif (wealth <= max-wealth / 3)" ]- M# n) Z% q2 |
[set wealth wealth + Low-income-protection ] c- u- _5 {7 ?- \4 ]: }
end& Z& T! [' |3 q
T. {& s0 I$ L* S! d' E; S. wto recolor-turtles5 h2 y/ ?( v+ J& }/ b6 H7 @: d
let max-wealth max [wealth] of turtles
2 N9 v; b2 J( M N$ N, L ask turtles7 R% d! `5 I6 q, ~. B
[ ifelse (wealth <= max-wealth / 3)
2 b3 b- x% q0 k' g B [ set color red ]. }$ I* h$ e- l7 N* R8 u2 ?' x
[ ifelse (wealth <= (max-wealth * 2 / 3)). N$ j1 F' B) y! W+ K' s
[ set color yellow ]
`; S ]9 T6 u! E/ x' y9 r3 s% M [ set color green ] ] ]
5 S' ~+ A6 q0 D# J+ y% l) p ask turtles [ifelse show-wealth?, Y* R9 B5 a9 s" Z' z
[ set label wealth ]$ }( F) m1 t1 a5 P; a1 Z+ r
[ set label "" ]]; h0 X7 K( E" m1 q( z# u c
end
3 x% v& S& K& W% A- @
9 ]9 B2 J' E4 mto go
8 G, {& Y& V1 Y C% s0 R ask turtles
3 f. H6 N! s% E# Y9 F8 k0 x [ turn-towards-grain ]
O! q! v' ]! n7 s* y harvest
) N# K9 P- Y: c& n2 O3 w ask turtles
# W" {: R% U' F) O& G; `0 Y [ move-eat-age-die ]
. K- ^: l: z% ?4 I9 d( J4 U recolor-turtles- m7 _8 g# C: D+ ~0 ~
if ticks mod grain-growth-interval = 0
/ D/ U4 K. ~: I9 J0 h. c [ ask patches [ grow-grain ] ]
# s8 T$ I; R+ t8 s# [4 R8 n+ ^; h
5 K8 K0 H4 A7 P+ f" B7 C' w if ticks mod 11 = 0
0 Q5 e3 ^8 R$ @; Y" n [ask turtles j% V2 d/ y/ S
[ redistribution ]]) l3 @1 |2 G5 M# J$ O
if ticks mod 5 = 0
. u9 @, o8 W' w( y+ g! ]$ e' P9 l [ask turtles
$ t/ \/ Y7 L- w4 V3 w$ Z [ visions ]]
% P A, E1 V/ }; b tick
, p& Y; x/ T+ n0 u update-plots
- n5 ~. _: `2 xend
& ?9 h) j, _* qto visions
$ K Q8 m4 ]' ^( i set vision vision + 1
7 C C# D' h! Vend
$ c" e5 B7 d9 k( [- ~' Q- I: ~ l8 ]" g" ^# b# C2 l O
. B! V: T2 b/ R8 D& _! k! }9 J1 `( }
. y# H+ @) S, K1 a/ j7 m. e% q
to turn-towards-grain ( A6 ~8 b* n7 M2 G% g
set heading 0( C7 A8 x1 b8 H7 V2 `
let best-direction 0
0 ]4 t5 z# [$ T let best-amount grain-ahead/ `0 A. g/ O5 \( Z4 |
set heading 906 j N; i1 ]0 ?! }
if (grain-ahead > best-amount)
5 c4 u8 t8 x5 ~% L: F( Z3 e2 Q [ set best-direction 90
' _$ {$ I+ _ B& g set best-amount grain-ahead ]
+ V1 `4 H0 t( O+ {, t# | set heading 180' v, g8 l; [: m8 S
if (grain-ahead > best-amount)
+ O r5 c( E" Z/ P0 o4 G; q [ set best-direction 180! m- ^ h( D" l' a5 ]$ F- H' U4 v
set best-amount grain-ahead ]$ I; I# t- [5 p- u2 L
set heading 270
& U! V: K* ]0 Q* { if (grain-ahead > best-amount)
& i7 f; T, ? ^) w5 X- ?5 b [ set best-direction 2702 Y" R% P6 R% c6 V0 H- K
set best-amount grain-ahead ]/ u) Z! J b+ O" ?: a
set heading best-direction& l7 e) J' w' T4 `5 w. D' p
end/ D& ~( @/ C9 r. Z* B. t
7 q8 b# S* g" {: j; s
( j; H) Z2 a0 X) G: o' G
to-report grain-ahead , h* |' D. v Q$ C" b" d' V' I
let total 08 q: g4 _0 a. r5 l$ X
let how-far 10 p) e4 B+ y1 E' h2 p
repeat vision
* N1 B% u2 n! r& Q5 g& [- B [ set total total + [grain-here] of patch-ahead how-far- E" U4 V* m* x& \1 z- s
set how-far how-far + 1 ]
y9 w6 t3 Y/ C" s4 C' d9 I report total
0 H: q P5 Z' rend" m# S$ M* [' d. J+ a
( L3 D" w& R9 Y* j5 O+ }8 T
to grow-grain 2 F i( v8 I, m# g3 f
if (grain-here < max-grain-here)
8 O; J- n% ?8 o& A2 W3 E [ set grain-here grain-here + num-grain-grown# ` F- y, b' m+ d
if (grain-here > max-grain-here) # \8 }3 T( {5 B' U/ v1 `5 U* k
[ set grain-here max-grain-here ]$ l3 z- y3 `9 a2 L
recolor-patch ]( n# N8 E7 s- @: o4 g0 h3 |
end
9 Q. w4 ^6 R( Y* N* Hto harvest/ S% H" i: V# _7 K1 \
ask turtles
2 P5 ^" {, m: x x$ L% h) s6 z [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
# S; f1 w R4 m& w0 } ask turtles8 A7 E. ?5 \! D4 R/ v0 q, d K
[ set grain-here 0
) o; s1 i# l/ b0 L: l5 p# Y3 i recolor-patch ]" a9 r" `6 Y: S* U+ u
- a3 V5 a( L O) @" Uend
/ t( e2 H5 G) |% J$ T1 P: b& W5 I" ~7 t' F
to move-eat-age-die
! G1 M1 O: X: Y5 t u: w4 ]! e6 F" @5 r/ M fd 1
4 j% P( d% m9 {6 X: [# @ set wealth (wealth - metabolism)
8 k# r; I: e% K2 i" T$ O0 ~ set age (age + 1)9 U. W5 j% h% P7 C: @, V/ j
if (age >= life-expectancy)
3 n" l1 t) e+ c. r [ set-initial-turtle-vars-age ]1 l8 y" S1 G6 v
if (wealth < 0) ?6 S7 b8 B/ {; S7 E
[ set-initial-turtle-vars-wealth ]$ b6 C; v7 ^& I0 K7 e1 e
3 U7 Z" h* ^$ c8 c
end( |8 ?/ o2 I: ?/ i& L) ^, o! ^: J
) F# U$ m3 F4 e5 s) b7 D _4 Z
. D) W0 P6 r7 d- U( pto setup-plots
5 [: R# B( q1 u4 A. @) q set-current-plot "Class Plot"
+ d3 C: E- R' \' A set-plot-y-range 0 num-people6 \4 n, y4 ]& u( h9 l b
set-current-plot "Class Histogram"1 n9 ~) D- U0 H0 H3 l, X+ m
set-plot-y-range 0 num-people3 h" Q; g& n$ W7 g2 Q/ b
end# F" v# m! E4 n9 Y
; Z3 K6 J; J2 C( c" p. c+ u0 J
to update-plots
: _- { b- ?8 N1 }; q6 V update-class-plot" S$ c4 L* r2 P& S
update-class-histogram
7 _+ u" a/ ?' P6 w' D& v update-lorenz-and-gini-plots A9 ?' D: H1 @ s+ B. f* s( ]
end
1 [1 P( c( I& a' O) d. V! N
) A+ n/ N; c( p& A0 g/ Kto update-class-plot/ M9 J# Y0 @0 f2 d0 o& _# K# L# L
set-current-plot "Class Plot"/ o5 S& `6 ]5 |: n
set-current-plot-pen "low"( ?% m" T' q/ `% Q
plot count turtles with [color = red]2 y" s3 Z' n7 [3 J
set-current-plot-pen "mid"
3 f' [4 e+ x1 R8 k& T2 i. h plot count turtles with [color = yellow]
! ?2 m' q b$ n set-current-plot-pen "up": r* M9 n" e# f$ c1 ^ O2 ?6 f* g
plot count turtles with [color = green]2 @3 @& \: b7 V0 ]# R. I
end* p9 h; {1 w @5 F
0 U0 \$ f( L' z! ~& q
to update-class-histogram
1 @1 }$ Q4 Y1 m. t" S8 O set-current-plot "Class Histogram"2 e7 h( \. P; |
plot-pen-reset% G5 Y( `$ L% ?" B3 u
set-plot-pen-color red
2 R+ O: p3 r2 ~! G7 q0 w plot count turtles with [color = red]
5 [" B7 t ^! z5 i set-plot-pen-color yellow
$ ?' l5 c- j2 r5 Y7 ^1 z plot count turtles with [color = yellow]
% ]' L. I9 |, T# c. j' _ set-plot-pen-color green
+ J; E/ \% s' |' g/ i( l plot count turtles with [color = green]
( u; d4 z9 v( `$ x4 }. jend
# x3 f* r9 e9 g7 p+ O! Yto update-lorenz-and-gini-plots
3 h" |. L4 c8 @ e- s! b set-current-plot "Lorenz Curve"" a+ t# x& ~; p
clear-plot! w5 w. e# P B8 W
$ l& P+ b7 H) X7 ^7 q; O" Q) ~ set-current-plot-pen "equal"% x( Z" m0 A8 t' ] j5 T; `% H
plot 0
4 O9 i' L' e% c# V5 K. o& j' _+ c plot 100
+ X D/ a' L% T* d8 w' ~
" p- g3 m) A7 T' M' F1 c set-current-plot-pen "lorenz"
$ I- `6 B& W# Q' H2 W$ N( x set-plot-pen-interval 100 / num-people, t- _5 g% J1 Q. r7 p
plot 0
9 P6 W+ [. {6 D( P! T0 k/ i9 U$ E4 v8 }4 C9 A8 M; ~
let sorted-wealths sort [wealth] of turtles# v4 r. m( x- X
let total-wealth sum sorted-wealths
8 ?# z" y; x. b5 z# s let wealth-sum-so-far 0
+ z' q T( l7 I# x* | let index 0
, A0 L. T6 w1 y0 l1 M! [/ _ let gini-index-reserve 06 a- Z8 n% m- z$ o
2 B( e8 N: n k N, B1 t repeat num-people [
5 k, m+ U6 n( T" [ set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
' l( a- ~* H/ B# V4 z1 i# r c plot (wealth-sum-so-far / total-wealth) * 100" {% F# X! x& d, J/ G) e5 i
set index (index + 1)4 w/ B+ f I4 _4 i
set gini-index-reserve
: ^ U6 ^8 K& ? t% @ gini-index-reserve +
. M( W7 ?; N& L; \ (index / num-people) -
- Z& f$ y/ c) h2 C (wealth-sum-so-far / total-wealth)# G/ f) | V1 |/ k" x1 T4 P& A% I
]
6 b0 q: l: {0 j9 y2 e& V& T3 a* r0 P1 B, A( q: y% p! N
set-current-plot "Gini-Index v. Time"5 b p- u# z* Z# g% |; K
plot (gini-index-reserve / num-people) / area-of-equality-triangle
9 t V H6 ^+ L5 ^' v$ h4 r N# Send9 U$ e5 u* l: c; Q' V
to-report area-of-equality-triangle
( ?6 P! w5 j; B' v8 f report (num-people * (num-people - 1) / 2) / (num-people ^ 2)/ c. e9 A1 s" o1 o/ k( R8 Y
end |