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
% }# i$ ^1 o* D/ ~- }- p& nglobals
6 e2 E; i' v% X5 S! _) o[% @% E" w/ Q7 a: _( \ {5 G4 @
max-grain
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9 p! L- o* J( @. b8 E i]
5 ^( ?4 l- |* s0 k
- I$ x, |2 Z+ R9 a" g5 epatches-own# \; _3 g+ i6 L7 {. y% S
[3 D- N& K$ H3 C I$ K
grain-here
N; w; X% _8 X5 X% z) D max-grain-here
1 v/ j" K+ I" n4 j9 ]0 h]
7 u$ a2 U1 ]% f3 T* S! M3 x0 j# r3 P. X
turtles-own
+ N/ d9 t9 {% w$ R" H0 m7 e[) B' Q0 A! _: l. J+ G, D
age
. w4 x R% ^! k3 q) B6 R4 r wealth
6 s) k+ m6 f" w$ i life-expectancy % B! R, i4 Z; X1 c, @0 w
metabolism
) e$ u3 W$ `$ D6 e# j% W vision
! n ?# F$ h1 L* t. c8 o inherited
3 }& K- l& ?% J' u; z1 E]
k0 H- V+ ~- H- U7 U
( O, p% p9 [- n. C: O4 [6 l1 y. d F7 {
to setup- Q& a9 V" h# b3 @
ca" r$ N y8 O6 E5 t4 u% ]
set max-grain 50
% Q) J( Y) i% b6 R setup-patches
7 [7 a c. u3 p8 v setup-turtles* [2 E" o* O: h; g5 b0 f
setup-plots
1 l' p/ E$ h1 ? update-plots
7 k+ j& c& t e7 U- W- T/ ]end
8 y& v0 H. X" Q( G9 m& gto setup-patches) J; m# P, B& Z9 \
ask patches
( K7 a5 d4 x- ?$ j4 G% o6 M [ set max-grain-here 0
: y( U8 g( e' K% `8 d if (random-float 100.0) <= percent-best-land- y- S! ~ a4 j& s& a" e
[ set max-grain-here max-grain
5 Y8 V# M, A* ]8 l; B4 x" F set grain-here max-grain-here ] ]7 Y. h3 B/ M" U& r; z' g
repeat 5
$ v: B1 x8 e# U: S8 _7 u2 E [ ask patches with [max-grain-here != 0]- v, m( ^0 \% e. X7 B
[ set grain-here max-grain-here ]
% a' e5 r: K* F. t2 E diffuse grain-here 0.5 ]; t+ I5 F* d# ^6 O ?
repeat 10! f- F6 J1 t* x! t o
[ diffuse grain-here 0.5]
) k; t9 k+ T9 K! C ask patches4 Q) B# s7 d4 k/ n
[ set grain-here floor grain-here
1 ?: P3 s: g% j. R! i* b2 a set max-grain-here grain-here
' b$ P, Q2 U4 J2 J recolor-patch ]
3 z' |$ O' u, \7 ^end
6 d5 @8 a( u' {. |: Cto recolor-patch
$ L s1 j& J, K) k) \ set pcolor scale-color sky grain-here 0 max-grain1 n3 P% f. Q$ j/ ?6 z* r, g6 E
end
3 D- G0 b. J; jto setup-turtles
2 S' N: S) a$ T set-default-shape turtles "person"
" R; T; N9 U& l. N2 l: N& w. ?3 q crt num-people
8 t. R6 \/ c8 Z P [ move-to one-of patches 3 p* L- h0 q K- P% L0 r
set size 1.5 4 L, ]) j* A% _& F1 S$ O# N9 @) j
set-initial-turtle-vars-age- v: o- D. o" G( u/ a4 W
set-initial-turtle-vars-wealth
# J# V h: N% B/ J, p9 D0 R5 w* ]5 e set age random life-expectancy ]6 C8 X# i2 o# t. [+ x
recolor-turtles0 }' E" ]$ v" A/ B$ y
end' l3 b* y, s# C9 n6 @7 }
0 W* A" r0 e' k* g# u1 x; vto set-initial-turtle-vars-age
) L) ~+ Z/ Q3 N; I let max-wealth max [wealth] of turtles
6 p4 B6 t5 F- }) }* ~: W y
" G6 ]! z. N# A ?+ t ifelse (wealth <= max-wealth / 3)0 P/ U' \; h& F1 t
[ set color red , X9 W" ^; P% e! Z
set age 0
0 b; z& d% g& w face one-of neighbors4 # J. Z3 m: ~* J" e4 }8 Z- M1 I0 ]
set life-expectancy life-expectancy-min +; v$ i% k6 {7 j, u* ` J0 y6 }; D
random life-expectancy-max ' g7 F% o. Z5 U% v
set metabolism random 1 + metabolism-low
# C; h- v) U" Q# C# g2 K) k2 g set wealth metabolism + random 30
& i6 E5 T' G1 a set vision 1 + random max-vision
- p/ T: K' x8 L! F set wealth wealth + Wealth-inherited-low ]) ~, M3 c' {- I: P- q. c% l
[ ifelse (wealth <= (max-wealth * 2 / 3))* j" s0 O! x* i& N- b; \" `
[ set color yellow
( w, [6 O# o" I4 O set age 0
k$ X3 L" }, e face one-of neighbors4 : f7 G+ K7 L1 N6 C4 _) r
set life-expectancy life-expectancy-min +, b/ ~. C4 H8 G- [7 y1 p1 |. G
random life-expectancy-max + 10 N, B+ K3 S5 N
set metabolism 1 + random metabolism-mid
, t H7 b6 P- \" Q8 q& ] set wealth metabolism + random 30
2 L5 v5 v! w$ V* e' k5 _5 W2 @) a k& u set vision 3 + random max-vision3 _2 O4 S" I- n
set wealth wealth + Wealth-inherited-mid]+ `( I, v6 X3 H( U j4 t5 G# t! p
[ set color green : [. @4 f N9 H5 W5 ^0 y0 m1 q
set age 0
9 k+ T9 _# ` r, E! S face one-of neighbors4
h9 {( \/ Y& C7 i) ], S7 a- w set life-expectancy life-expectancy-min +' [8 K5 \, U( O; d' O0 y
random life-expectancy-max + 2" _* {, s" C. S* G$ k) _: a
set metabolism 2 + random metabolism-up
6 S" V) q9 R# W0 Z set wealth metabolism + random 30
5 u0 z) a( `, ~' V5 x4 K set vision 3 + random max-vision
. S* J ^ N+ _' s5 c9 H set wealth wealth + Wealth-inherited-up ] ]
' C, v1 A. i7 G$ [+ Q6 [1 h 6 f. Q! G9 r- V4 K5 p: t4 s }3 k" H9 E
end K9 d5 I* T, J' @" v1 \7 v; V* g
to set-initial-turtle-vars-wealth3 @3 Z+ |9 U% w& R! y
let max-wealth max [wealth] of turtles7 J7 g3 Q( w0 K, r3 I
set age 0
. P, M% f G' g7 N Z; K# X3 I% } face one-of neighbors4 " O& d' S. [* `" {0 l* w
set life-expectancy life-expectancy-min +
$ a0 m! R+ t7 x" p random life-expectancy-max " f6 H# _& I) u7 l
set metabolism 1 + random metabolism-up
- |6 f ~! n' ?' ]4 Y0 L set wealth metabolism + random 305 A' y4 u6 t7 v3 C8 q
set vision 1 + random max-vision
+ ]' v3 C9 ~8 @; n# aend
Y/ t/ v' |. W+ ~. uto redistribution
/ C/ s; S5 ?- E# B9 v( r& K; Jlet max-wealth max [wealth] of turtles
2 T/ j' B9 J! Hlet min-wealth min [wealth] of turtles$ Z/ q. Y: e% c' C0 q( J+ [# }
if (wealth <= max-wealth / 3)$ E7 P* M3 J9 T) x. l
[set wealth wealth + Low-income-protection ]. |* [5 M0 f4 ^2 ^0 U( d" ]
end
8 E* k! t% b; J/ p$ O1 F 1 _3 s; H+ f y
to recolor-turtles- @( p2 ^! r) \ W7 x' _
let max-wealth max [wealth] of turtles; I6 J3 R% ^: m0 S
ask turtles
; w/ q( T, \7 P; P( ~ [ ifelse (wealth <= max-wealth / 3)
' H2 ~( ^; j3 Z- R' q6 ~ [ set color red ]
9 w* |( C' K. H" O2 V [ ifelse (wealth <= (max-wealth * 2 / 3))5 K& _, a0 a1 V$ ]$ o4 j
[ set color yellow ]' k+ z6 b/ K3 G1 d9 _% R
[ set color green ] ] ]
+ h( Q, }2 j" K7 t: a ask turtles [ifelse show-wealth?
8 c3 s4 B+ N0 g3 J [ set label wealth ]
7 M+ c, ~; L2 B/ e [ set label "" ]]
; w( ^2 o0 o/ u, }end
& @ }/ V+ Y/ M. m9 `5 w5 F7 o9 i4 r9 P' _% m% X v* E
to go
( D7 \6 `" m' k0 g ask turtles
# L0 a( `" S" t7 u. X# n [ turn-towards-grain ]
- K! A+ v' H# |8 u, \2 ^ harvest, R8 e" X4 i: `8 h" v+ j7 v
ask turtles7 u, m3 [" s% P4 L6 v# I
[ move-eat-age-die ]: a- p$ C$ [" u0 V: X6 u; G+ z
recolor-turtles* ^% d6 }; S& p3 R2 D0 K
if ticks mod grain-growth-interval = 0
% ^9 ], ? z/ n* v7 G. f [ ask patches [ grow-grain ] ]
8 C$ D( v+ N' u7 w $ g8 W$ o9 s2 o( u
if ticks mod 11 = 0
& P5 Z+ u1 f( Y- o7 [9 S8 e [ask turtles
$ D4 a/ {- S8 T" P" v [ redistribution ]]
8 X8 I: j1 U+ h8 V# h5 b5 _$ |* _8 N if ticks mod 5 = 0. Q' d. L+ _3 z( ?- a0 m; R
[ask turtles3 }. {( V8 y# V+ u6 C4 o3 _
[ visions ]], a& a% O: O( O. R8 y) v# m& }/ P
tick3 G+ f* o$ m0 G& \. `
update-plots$ R+ A9 r" v: Y4 \* S4 P8 R* `- K( N
end7 D$ r, ]5 a, W
to visions" a( y8 h" @$ Y( g, ]( u- b( b
set vision vision + 1
! B9 r9 ?7 n- ^end: O$ F' m: \* Q+ A1 u; Q- w4 a- ]
0 p5 C* c e, x7 |3 S
- x/ s& B5 n. | _; u
9 K/ t% D0 s# g% D, o+ Y( K' Bto turn-towards-grain
3 T5 p" ^- u: j) E/ ] set heading 05 W; y G( f6 m4 g
let best-direction 0* T! J3 @. \+ X" N* u
let best-amount grain-ahead5 t3 K& Z5 q5 i9 t) c1 ], @
set heading 90$ z. P% d1 b) b7 ]: L
if (grain-ahead > best-amount)' u* d; m: n e) o8 o0 }0 B: G
[ set best-direction 90
" U8 _& V: E, ] v* P set best-amount grain-ahead ]
6 K& ^/ T- ~! [; _+ v set heading 180
& k! P- b' J. L; J if (grain-ahead > best-amount)
( U/ x$ Y' k# _& [! w [ set best-direction 180" o# Y: x; I. v9 ]+ z5 _) c5 {
set best-amount grain-ahead ]
6 u4 V: w1 L0 b' |4 O9 A set heading 270( D; I* D! U7 |4 u& i, A
if (grain-ahead > best-amount)1 s; H& Z8 o& @/ r8 ?
[ set best-direction 270( N3 R% @6 i+ z' g+ [
set best-amount grain-ahead ]
2 ~2 ?! M3 B2 y" `, b3 e) I set heading best-direction; ?$ J' \$ j! {( F0 u
end
: G. |* ~) ?. A8 N. f6 ?# ^. c, f( u' ^; m3 r9 Q) ?7 R% n
8 ?2 _$ ], i: Q, @1 Z+ `to-report grain-ahead 5 A4 }7 w" E* U) ]
let total 0
D" T; J$ U/ r( ` let how-far 1$ N( D$ C! e/ ~0 x# W
repeat vision
1 c% r6 A$ \$ t [ set total total + [grain-here] of patch-ahead how-far
1 E w: @$ ?" X: ~& J set how-far how-far + 1 ]
5 Q/ f* p% j' M# p) d! I( S8 B report total k( s0 f' F+ ?' X4 Y. P
end
# t) j- |2 `8 T! v# W
' F" J- S$ W2 d0 j) F; B3 Dto grow-grain 4 @$ O. O& s2 e( s7 ?- V6 V; m/ {
if (grain-here < max-grain-here), O8 ^0 K, \; \5 E. ^" D7 w2 _
[ set grain-here grain-here + num-grain-grown
' W: Y/ ?4 v2 n if (grain-here > max-grain-here)
+ c2 c) O/ c; d) m% W [ set grain-here max-grain-here ]
: z; W& E# q6 J2 P% `! t recolor-patch ]- g) c* K2 o# f- t
end
- }4 p7 T% a V2 Y3 c1 jto harvest
1 X; e4 D' w) g" c ask turtles7 N! \1 C& h! F
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
) Z, e- Q) G3 w5 ]0 j2 s( B ask turtles+ i- N4 |9 F# g+ Q
[ set grain-here 03 x# | A# I# O: h# |
recolor-patch ]
. D) P5 z/ u4 \0 u4 w |: q( o$ i$ n) g( o9 R( Q# D
end F, I5 `# m1 ]% ^4 {6 R
5 {. `( l& C, k7 S5 v- K0 w5 b
to move-eat-age-die
r! S! Q$ s' Y! ^8 E4 W. E fd 1
, {6 B! b' F4 k+ k( F: Y set wealth (wealth - metabolism)# Y' P9 ?9 K+ W: i$ y
set age (age + 1)2 Q; ^. K f! p9 p
if (age >= life-expectancy)6 D8 ]6 j m: ?
[ set-initial-turtle-vars-age ]; R+ V) r# X) Q4 F
if (wealth < 0) k- k% p$ a; o, j. G6 i' x- p+ m3 n
[ set-initial-turtle-vars-wealth ]) p5 i9 l5 p1 g: C3 P, w
7 N. f1 P. L+ V5 a4 e' _5 e
end8 ]0 C# c1 ?- b: g
. s" C5 |& K8 `& Y4 W" h
' m: ^" W- \6 p4 q. uto setup-plots
: M& c1 S. |1 K- D$ Z% n& c6 p set-current-plot "Class Plot"
" W5 I O& l% w& }! r set-plot-y-range 0 num-people
( _; j6 O% b9 S# r- p set-current-plot "Class Histogram"
5 x" E, m" Y* l8 T) {# y set-plot-y-range 0 num-people
1 G$ T' e) l6 eend1 Y4 x0 w D( x
% j5 \9 u: |! u& K! v2 X1 O
to update-plots
?$ i# [) V, P _+ d2 Q update-class-plot
( F7 j3 x5 c! o, L+ W7 C5 G update-class-histogram# a/ Z0 m9 I7 G! q! X
update-lorenz-and-gini-plots. [1 s! @$ Q2 u2 L
end
. ?# {# ~+ i' r* G$ d2 e) U9 q$ h% ?9 }9 w+ D- t
to update-class-plot
7 [7 o5 r, s6 a. p set-current-plot "Class Plot"9 H0 w/ M! [5 ?+ r+ `5 d
set-current-plot-pen "low"1 p E8 N7 C$ p7 d+ Q9 N1 B
plot count turtles with [color = red]+ {3 }) w* y* j5 v1 [8 Q- M
set-current-plot-pen "mid"
: }$ Z: I( ` d% o plot count turtles with [color = yellow]
6 Y. ~3 `+ [ n5 O" T0 d9 } set-current-plot-pen "up"
; H5 |+ v B1 q% P plot count turtles with [color = green]
d% I3 A/ h# i& }) T5 H8 tend
6 D3 j) H5 y4 W9 B8 D2 J: R% `& `+ ^) Q. {9 _" B( a7 _! t$ \
to update-class-histogram. i' x) a1 s, ^' F" [9 E
set-current-plot "Class Histogram"
4 ?+ ]! m; t* _ plot-pen-reset
8 a" R0 N' [1 a$ P9 F- J3 ? set-plot-pen-color red
( x' ^' s* S/ [5 H plot count turtles with [color = red]
; n- T% O7 L/ L& p( T set-plot-pen-color yellow' ]/ D3 M0 A6 M1 o: d
plot count turtles with [color = yellow]
1 R+ z( }* `& m: j set-plot-pen-color green) N X4 a. k/ A, N2 X9 J1 S B+ ?4 ^
plot count turtles with [color = green]
5 y$ [2 c1 Y7 T# W" ~( a, k: qend
/ W e c* a, h8 a% bto update-lorenz-and-gini-plots! m/ B$ P7 F( b: S6 t" _# w
set-current-plot "Lorenz Curve"+ p: S, f7 x) J4 f$ O
clear-plot
: E/ f- u- X; D! k8 `" F, M) `$ f8 D5 K! `
set-current-plot-pen "equal"3 K6 F+ P* N/ z% ~4 s6 j
plot 00 `7 d5 V9 h" v) [% T
plot 100; T1 B0 g" q$ g. r
; L( `. D0 E: N% z$ _4 M" | set-current-plot-pen "lorenz". e# a' p1 W5 V D- d
set-plot-pen-interval 100 / num-people
+ l- G q; q5 A) h plot 0
+ |$ S9 e; m$ {- m) W0 j6 c4 r
* i. G3 A. {& Y! J3 @, s3 q let sorted-wealths sort [wealth] of turtles3 c. P( A6 S7 X5 I+ ? Q7 C3 h4 n
let total-wealth sum sorted-wealths5 u* D! e5 `+ |7 X6 M1 q' }
let wealth-sum-so-far 0/ S4 L8 E5 H5 j0 u3 ?
let index 0. R1 m- Y$ B4 m4 [ U
let gini-index-reserve 0) q8 E$ A/ s+ H1 G3 g0 Q, G
$ W' v' u! _' T2 t' Z \8 [: ?# B
repeat num-people [
# N' b9 t4 F7 F/ W/ W set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)# }9 k7 d( u. v3 B# ?$ h Y- [& `. x
plot (wealth-sum-so-far / total-wealth) * 1006 y, m! K4 ]7 P8 d% q! Y( S
set index (index + 1)
$ p4 r9 o8 Y. I7 z v set gini-index-reserve
/ ?$ W8 F1 n( r gini-index-reserve ++ U* y W4 E* t! D" s
(index / num-people) -
/ ~5 G8 \1 }& E) e (wealth-sum-so-far / total-wealth)( g5 W$ F- e& `7 a! H/ d, \
]
& K7 {$ ^$ n5 y: B$ K9 e$ c4 x, [5 x4 W6 [
set-current-plot "Gini-Index v. Time"/ l2 [8 T7 C( s. e
plot (gini-index-reserve / num-people) / area-of-equality-triangle* g6 v+ D0 R! X7 y
end) ^! w1 H* }0 h8 H
to-report area-of-equality-triangle
2 t/ U% C3 k- X0 H4 J# T: J report (num-people * (num-people - 1) / 2) / (num-people ^ 2)6 P- \' C8 p- z* e( k) {- }
end |