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+ S* Z( r& y- b# h
globals, C5 w' \. ~/ X5 ]% W/ W* P8 ?, E4 E
[
* e' V" L0 ]- l; ] max-grain
+ c' a7 @' z% i7 B
f* D4 b* d: t! h |]
: P; M/ u% N3 ~- y; S" _) k+ i1 k/ q+ k+ @
patches-own
% K& H5 b {2 l3 q4 ?4 F ~' T6 {( e; R[
% \# u# H. e! r7 e0 l7 H. |; a" e grain-here # P: J1 D- g/ g4 j2 L* b4 L
max-grain-here
% l# o5 ]8 W$ O5 T* l* C1 Z]# ^9 k+ Y* t4 U6 l( H* }/ S! {
3 g* M8 Y3 f7 t- |) H x! R/ j6 Aturtles-own
, N' v! j, N2 L$ B[6 b2 |7 v6 Q' `3 U9 P
age
8 K- Y" g% M& M1 V# d/ Y# z6 ~ wealth 2 S7 ^8 R. V. U2 `
life-expectancy . `. C' a, E# L% w1 t
metabolism
" Y) Y9 A( }7 w. Q; g0 L+ Y; c ^ vision; ^4 b$ R6 ]$ N7 w0 l
inherited & u" P. \* Z, V6 d' Z
]
' ?% I+ c4 c1 I! i0 h1 t+ P6 p; v' f# o3 r
& L n$ n2 Q# l8 ]: I) J
to setup& Q6 S% J" d: Z2 S8 N) V( b
ca6 i$ k9 m% Q, X; U9 ]
set max-grain 50
7 ~5 Z1 B% X9 l0 ?! l setup-patches# Z) s: o1 u5 \' {2 g5 A
setup-turtles& V( B7 w6 k8 b
setup-plots V' t$ Q$ E y/ D, @: o4 x+ I! }+ O& L
update-plots
0 K1 V7 Y; I+ }, s$ Eend* m# }) L# ~# v m- x
to setup-patches
8 s/ M4 ]$ J0 o, }$ w7 c4 z) P ask patches
( I! o2 o4 O | [ set max-grain-here 0
$ [" N8 |3 x8 c* { if (random-float 100.0) <= percent-best-land
8 `; e3 ]5 e' h3 w5 V( u [ set max-grain-here max-grain4 M% w2 g. [' J) P, I$ D
set grain-here max-grain-here ] ]% u6 |2 X2 X6 y/ D; L2 { t3 j
repeat 5
X" S; X/ _# S [ ask patches with [max-grain-here != 0]
$ } o; e- z: \% S7 G [ set grain-here max-grain-here ]
5 ?- B% z1 ^5 v- w) Y7 x. F diffuse grain-here 0.5 ]' B- s; K4 U6 T8 M$ u
repeat 10
! a( S3 J0 n4 i4 X, g+ b0 [ [ diffuse grain-here 0.5]
3 p, I. Q; d" p5 S! X ask patches p: ^9 i) U5 v4 E, G
[ set grain-here floor grain-here
, C; H; Y6 E" n* h- P( k0 n* z u( b set max-grain-here grain-here
. }1 \: r, I! P' l8 @& j recolor-patch ]
, ~! n3 `% W! Q5 _7 {# pend
. G( K* r0 i. u3 Qto recolor-patch
: x9 e1 {; \/ ~# r# } set pcolor scale-color sky grain-here 0 max-grain
4 d% v' O0 a: }end
' c; o, S5 d, G7 k6 q" mto setup-turtles
9 p; L3 W; }* W( H# G set-default-shape turtles "person"
+ r4 k! `+ |7 ]1 l) ~3 y- w9 F" C crt num-people
2 O( J H, R3 O& a! l, s, ` [ move-to one-of patches : ?4 F* b$ f9 p: y* _9 M- ]2 m
set size 1.5 # U/ f8 d( u0 S* r
set-initial-turtle-vars-age
; `- `& b9 h1 {9 i( | set-initial-turtle-vars-wealth
( O. w, |. W" z3 c% Y set age random life-expectancy ]9 ^8 {+ ]9 ^: m# s% _
recolor-turtles% M) U/ K8 E0 c! z
end* I" ?& [+ b& z; h+ C
2 {5 L w( B' R, H! [7 f
to set-initial-turtle-vars-age
|+ d9 K+ e( e: |5 k( i let max-wealth max [wealth] of turtles
$ ]7 \, Q- h" ^( T0 D# p4 o
1 S. U* }8 o A' t" P" T( b+ @! b ifelse (wealth <= max-wealth / 3)
0 f5 i8 W, m$ K Z+ A: F/ n [ set color red
1 \6 h0 r0 i+ ?" B1 ~- J set age 0
7 ^- n- i6 k8 W) v! h3 v4 u6 J face one-of neighbors4
, p% x) D2 z/ @$ U5 W% e1 g9 i2 o6 Q. w set life-expectancy life-expectancy-min +: |/ x" ]; L- u$ ?& m: u1 R3 D) d. k& U
random life-expectancy-max
& `# {% ^9 u _) i/ S' [8 b& m4 x set metabolism random 1 + metabolism-low
) \) e% G1 c- W0 C4 D8 k. M set wealth metabolism + random 300 z1 ?' B; Y, _' T4 `' _3 D% ^
set vision 1 + random max-vision$ I# G# n& i9 d1 L2 j
set wealth wealth + Wealth-inherited-low ]
* b& d% [, X) L Y [ ifelse (wealth <= (max-wealth * 2 / 3))
+ u0 q) C% |, F: P9 ~ [ set color yellow
+ V; q! c: H7 n0 O8 ] set age 0. Z& t3 ?: g$ Y: f- p- Z+ g
face one-of neighbors4 $ J; ?. m. ^( I9 l3 L+ I6 `
set life-expectancy life-expectancy-min +
; R$ t; e# A0 q random life-expectancy-max + 11 h$ t% _4 t4 |
set metabolism 1 + random metabolism-mid4 O* r! U0 c. w4 z9 L3 V
set wealth metabolism + random 30
. A( b7 ~- x" Z7 K" i/ e set vision 3 + random max-vision
* b! Q+ B0 ]4 ^' L& U set wealth wealth + Wealth-inherited-mid]
6 t; o5 V1 ~4 r- G [ set color green ! f! ]3 c7 q# h7 q8 p2 z
set age 0
) ^) [0 @ ~1 l# w face one-of neighbors4
" V3 l. m/ l. X# {" q4 I set life-expectancy life-expectancy-min +, f ?- t8 f- ~/ U# s7 m" E& Y
random life-expectancy-max + 2
$ ^* c5 I% H" v3 [# h+ v set metabolism 2 + random metabolism-up
; C; f$ e, A1 f0 F set wealth metabolism + random 30- F1 v( L/ q! H6 e" b, B7 i
set vision 3 + random max-vision
2 v9 W0 w6 ^ G set wealth wealth + Wealth-inherited-up ] ]
; I3 i* F4 S, M+ ` $ W/ X7 g0 v* u5 [+ f; c, l
end9 }" O9 M B$ _+ z; K( c
to set-initial-turtle-vars-wealth8 F/ g* Y/ @( c5 h+ G8 G
let max-wealth max [wealth] of turtles) i( G! F! t. H! X
set age 0
3 }, ^2 i# I; _9 k" ?, j face one-of neighbors4
# p2 L6 \' d/ o5 _! u4 y- V1 ` set life-expectancy life-expectancy-min +
/ _% q( A3 I1 d random life-expectancy-max , Q& ]% ?# i; M, ]; M
set metabolism 1 + random metabolism-up
+ y: z3 [+ v# G% o4 ?0 [% | set wealth metabolism + random 30
4 G+ ]6 o- q4 y5 L8 [* V$ U set vision 1 + random max-vision
: W- u% o( e: G) X" d4 G4 {end
7 @; Y1 G1 k, g! r6 y1 _to redistribution
3 u: i7 r) I" |2 k1 R( hlet max-wealth max [wealth] of turtles
3 f% W, j: b, slet min-wealth min [wealth] of turtles0 l: B7 Z& |, b0 X$ X* X
if (wealth <= max-wealth / 3)) m* o+ z6 d9 A. ~8 K0 \5 q
[set wealth wealth + Low-income-protection ]% [6 z; X; I7 i! \4 Q# [
end( w$ s% K8 E9 P+ `5 w) c. B- N2 e
: ~8 c3 G* i+ y2 u3 Y. ]
to recolor-turtles# l. p* ?- I- `+ L1 T
let max-wealth max [wealth] of turtles
* m+ c U( F' ?+ m$ X/ z( M ask turtles
0 B3 Y6 i+ W9 \6 t! m' ] [ ifelse (wealth <= max-wealth / 3)
: |! W1 j7 _7 u: }' F0 g8 z [ set color red ]& d3 Y) z- j* k( _2 H: _+ p: _1 L
[ ifelse (wealth <= (max-wealth * 2 / 3))( q: w/ D$ I/ z$ O5 q' {+ ~: ~0 t
[ set color yellow ]1 k; ]8 s) ]& g# U0 Q q/ _
[ set color green ] ] ]
$ i/ o# i" j! `5 ?! J$ D/ G* f8 m ask turtles [ifelse show-wealth?
8 o0 X; |) I6 J6 J6 _' i: \9 I [ set label wealth ]& V0 { O' P0 j2 J
[ set label "" ]]8 }: j+ v5 C2 ^; O: R+ B
end4 G: ]9 _0 Q, T4 a# i- C' T) U a$ |
0 i! J, o( r( Q! z3 ?! z: m- f7 oto go4 l5 I1 R& s+ l5 ~# r+ S
ask turtles, H% z7 f' o( x2 _% e Q. H& @
[ turn-towards-grain ]
( U z& \6 T2 o" R harvest
3 r# S9 u! L g$ _8 g/ G ask turtles
0 w+ `8 q) o, a' V. i [ move-eat-age-die ]
7 J4 j" [, f& A5 S" J recolor-turtles% z5 @4 ?; F+ R9 l
if ticks mod grain-growth-interval = 0
Y/ n7 \6 z# Y& a0 D1 T [ ask patches [ grow-grain ] ]+ E7 g: G6 W% B+ M ~9 h* `
6 G2 p: d0 a, X1 K. p+ i. @0 x if ticks mod 11 = 0( O7 E5 P# `# X4 D$ n. M# `
[ask turtles7 U; n7 d2 G- S" v+ ?# W
[ redistribution ]]1 {1 X9 l- {& d
if ticks mod 5 = 0
5 P: o7 S: e% h) C! \" S9 g [ask turtles
1 ]: q- K0 O$ D& e' G [ visions ]]0 H c5 k% U9 i/ a& {
tick
. u5 m7 p. }1 S- u1 O" } update-plots
" Y6 D$ w" w* m' aend
/ |; f2 z" A2 M, A% ^4 d3 zto visions* \% j, F4 C$ B5 C3 o! ~& Z# w$ t
set vision vision + 1
$ z% L& z: u0 y# [$ t$ K e1 u5 @end
% p' x: [+ o; ~7 H2 B$ b* ^1 Z& o: {6 g+ Q' Z
. @; U7 ^2 y9 P A+ |
7 W: Z o( b9 Rto turn-towards-grain 3 w! g* B) x6 `2 \6 e
set heading 0
6 G' u0 o$ ^6 e- d7 I let best-direction 0( \6 S' L, E8 G
let best-amount grain-ahead
+ I, D% n5 Q/ F) M8 v set heading 903 y' R2 f7 u) P; y' \
if (grain-ahead > best-amount)8 q2 p6 _% j) t2 M2 p/ J+ v* u% |9 b
[ set best-direction 90: L4 C# [' f5 L0 h4 |
set best-amount grain-ahead ]
9 H4 x& g+ \- }; F c0 ? set heading 180- ]! o8 E L3 X$ [( ~' U$ E! H
if (grain-ahead > best-amount)" v+ e4 ]# F7 K M
[ set best-direction 180
+ o5 n6 {" s, [4 } O3 N5 h set best-amount grain-ahead ]0 k1 h- V) D0 I! t
set heading 270
- g5 B9 V: a/ g if (grain-ahead > best-amount)- s9 `" T, X4 M
[ set best-direction 270' j+ u& R9 f6 z/ d
set best-amount grain-ahead ]
8 ^& e3 d( E0 F8 g& ^ set heading best-direction8 l# a% D! o) N) O
end
) K6 e2 }7 q7 P* p0 P3 {0 E
4 Q4 Z6 [; s6 K g/ p3 U) v
) m- K. I' [& c, k# Y. F3 c9 Gto-report grain-ahead 5 V. p: L) Y" C9 Z3 {$ d
let total 0; L$ Z7 }4 ^7 j" E* [2 g! \
let how-far 1
" b8 W) `( |2 ~+ L5 i. U. z* M% E repeat vision& n- q! ^6 E9 E* i! A% j# D2 N) P
[ set total total + [grain-here] of patch-ahead how-far" g, \+ T; i6 s7 q
set how-far how-far + 1 ]
! a: Q, R1 N+ s6 R0 n report total
. P3 g+ _# ]0 I# ~end; F5 `5 \! O9 n7 G, Q' E% J
9 k: n$ r$ V1 |6 g% Y1 s9 z
to grow-grain
' N$ }5 j; q. {3 d. r if (grain-here < max-grain-here): r b' g- E6 g. q) L. S0 m
[ set grain-here grain-here + num-grain-grown
$ b1 \; Z, ?) k+ T, v if (grain-here > max-grain-here)
5 f& \2 i/ [& v, a3 H4 S' D( ]5 p [ set grain-here max-grain-here ]5 q3 `& g, l! l: { y6 E* V; n
recolor-patch ]
/ |) l7 ^6 h+ l) Xend! E+ B$ a+ ]. s3 J
to harvest7 k" M B& b1 M3 J
ask turtles* ]* C( G) L) Z
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
" q' _2 A7 L$ t$ E( H ask turtles
7 L* @9 ^0 x# \1 J: `) i [ set grain-here 0
' Z) f2 Q! S- B1 \+ K' ^' v recolor-patch ] y) ^2 d& d/ T' q' w% K( Y
( i3 k* C$ E. q# j9 X
end7 @# D; J" W0 w% [: m+ T8 g
0 T- J2 r. U4 Q( Q+ \; `& \ zto move-eat-age-die
/ `" x, A6 D" L fd 1
% I1 U& k" m ` set wealth (wealth - metabolism)
+ y9 u0 W7 s4 H5 X& z$ Y0 H' q set age (age + 1)
" w0 v& r. O. r" U0 T# U1 [# M if (age >= life-expectancy)" p' A) _! ?9 [" N" o# E
[ set-initial-turtle-vars-age ]3 z+ D7 a# T% I8 l [ z/ m
if (wealth < 0)
' B3 v+ s3 f5 ~% q* Z& D- K3 D& f [ set-initial-turtle-vars-wealth ]
& v- h U) r5 B( x4 S, [ I* I- ] + T7 M" w8 `% f$ p' m1 G
end
0 f) g; ?7 m5 @9 o2 u9 b7 U; |
: |& x" O/ o; d O0 l* M; Y2 @
. m5 S* {4 Y A: o. v& C1 c9 hto setup-plots k3 T$ Q" l$ `- h
set-current-plot "Class Plot"0 |. V y; O5 A0 m
set-plot-y-range 0 num-people& i& L0 A$ m1 T& p- \7 u; ]
set-current-plot "Class Histogram"' a4 J% ^* \: c& R, O1 p: e
set-plot-y-range 0 num-people
1 B4 M/ M6 a% U$ Fend% u( ^: w5 M/ g% ]
& D5 _: [+ ?9 R% {
to update-plots5 ^+ }/ I7 m. f3 V
update-class-plot
1 w* u' O1 ^9 _3 n, T1 f update-class-histogram
+ N. l$ v4 E: R" }$ Y0 i) B+ o update-lorenz-and-gini-plots2 i. K2 C* V" a4 Z' @! `* n! {
end
% I; C( n i9 W+ H
, a+ i7 m9 E! T6 l: N3 S5 a( Jto update-class-plot( ? \* `5 o/ O! ] c+ [* t* C! R
set-current-plot "Class Plot"
; ?- c1 Y& }+ M+ g set-current-plot-pen "low"
' m; q: R( I8 T9 P! W& o. ]6 Y2 c2 t plot count turtles with [color = red]( @, N, Z/ H. B7 T) T* n
set-current-plot-pen "mid"! D8 i; Z# Q9 _9 D; H1 M4 o( R, `
plot count turtles with [color = yellow]! X& U5 L$ c4 {% ]; t$ c
set-current-plot-pen "up"/ p( C+ C7 j7 J: [+ y- v6 v
plot count turtles with [color = green]% M! @5 S( P! ?9 X- L
end$ u8 K. y1 \/ U# B4 l' K
: f1 {/ G, B; W( jto update-class-histogram ?" X. F( e0 a+ o, f a. p5 F
set-current-plot "Class Histogram"
7 C, m1 w3 t+ T5 C7 w; L4 c- [ plot-pen-reset4 i1 K! M: Z5 G
set-plot-pen-color red
! v" ^* z# L9 w plot count turtles with [color = red]& N$ O4 K7 L, x9 X7 K8 Y
set-plot-pen-color yellow
# n) D" N+ a2 u# p9 n plot count turtles with [color = yellow], r4 d* M" H- y2 P) N$ q- |
set-plot-pen-color green4 [* Y# M7 y+ @$ A
plot count turtles with [color = green]
$ }) Q" {- V2 M% A7 eend
" m! W1 r; b! q+ o: `to update-lorenz-and-gini-plots
( I& Y9 b1 H- Z9 I0 l3 _ set-current-plot "Lorenz Curve"
: r5 x% y7 L. f" R* W) Z+ l% R clear-plot
/ i( \1 Q6 {* \ y* M7 ]. H9 L8 Q6 o+ O5 Q% k( J
set-current-plot-pen "equal"
; n. ^6 M: ?! c plot 00 B; `- F! U; t: ^+ B( C
plot 100
8 A& J6 g5 H, A# C$ ?; P/ [, x; r* @$ |+ i e& W. w
set-current-plot-pen "lorenz"+ y& R4 b; q* t1 m: u
set-plot-pen-interval 100 / num-people) q8 P* F. w0 {
plot 0
1 x. Z7 @+ Q! H" c3 d! z _2 E) K2 i& Y% n8 O
let sorted-wealths sort [wealth] of turtles3 ~$ p0 o7 h Z! L. l! N
let total-wealth sum sorted-wealths
) j+ R% |& M7 [" q let wealth-sum-so-far 0
8 P* ]8 @3 Q: h1 @% K let index 05 q/ V9 T1 d/ {* w- G' _
let gini-index-reserve 0/ T; e9 J m T" L9 R
8 p2 A9 q* q( b repeat num-people [7 G" A; M/ a* Z/ \4 H; y
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
5 x4 B4 @( }7 u) O3 l5 z plot (wealth-sum-so-far / total-wealth) * 100
3 g* C2 t3 F& {9 z/ _& h set index (index + 1)
; a/ S. E% N7 _3 P( p5 s& }2 _6 L set gini-index-reserve
" N& h. E2 M _$ E7 }- O gini-index-reserve +
- ]" h! C& L; U% l, |- Y4 o (index / num-people) - y7 J6 q: i0 X3 t5 E# p/ ~
(wealth-sum-so-far / total-wealth)
/ a7 o) N q3 C) t: s! d ]
$ b, ^ _3 P* {3 Q* K/ W2 ^, i' y! H# V- b. P- ?' Z
set-current-plot "Gini-Index v. Time"
% J' L* i6 E1 f2 P: ?. f4 } plot (gini-index-reserve / num-people) / area-of-equality-triangle) }' p5 m1 m1 f2 H5 R
end
R1 v# H& d* B8 Mto-report area-of-equality-triangle. X4 l5 i3 L( {% g: v
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)# E9 ]! w. a7 I0 }- w+ M' D
end |