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' A' }: O, H3 p% ~2 R) r! v
globals
3 ?, f% Q2 s4 g+ B[
0 R3 `/ B% M! ^: A, K max-grain 9 [/ ~) T9 Z+ I- h, \4 I
1 Y7 c+ c5 Q z1 E, `]' A6 ]4 w5 \) F: _. I$ I; O
9 v# R' g/ L6 [2 O7 \1 a
patches-own m) T+ q2 [0 ]! |
[: N; e0 L) { Z" A c+ k
grain-here 6 a' g/ h) N' j) t4 s0 _: r1 J
max-grain-here
5 \6 s7 ~" F2 Y! ~8 A4 W]
( Q% c& M# ?- l* i f- o" M5 T* y
turtles-own
1 A3 S) {$ L9 e5 B4 f[! Y% `$ ~: K; W: B
age
5 c# z4 Z) A4 C wealth 1 q7 e2 x. N8 Q
life-expectancy ! d7 `/ x" T& C/ X! {3 q+ r
metabolism - L6 d& X* O8 t
vision
5 v- n& O% }( Y( ?1 i: K inherited ( d, ?( K% m1 l: u
]
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to setup- e* |1 _ Z5 J# r$ a; I, X; a# Z+ a U5 t
ca4 y$ Z+ l8 L2 G+ V. r8 j
set max-grain 50
$ a7 k+ @, L9 u9 Y% A3 B% V setup-patches
' K6 c l- {7 w& t setup-turtles7 N4 P1 X, W0 u" |2 \( W( V. e. B/ I
setup-plots: s* d6 l( l" ~
update-plots
$ D* P+ K1 E+ {: z/ P) H2 j Y/ rend5 h* r/ I: n. _
to setup-patches3 i2 Q8 K$ V; A) O3 v
ask patches0 {9 ]2 R. T) B+ b' `( B! F* f
[ set max-grain-here 0) `3 g* H+ E0 s* Z/ t
if (random-float 100.0) <= percent-best-land& X/ s: r7 V4 b+ B" z( N5 `
[ set max-grain-here max-grain
6 n7 g; r6 n" k2 X5 L set grain-here max-grain-here ] ]
1 V1 s- ~/ y. y( n repeat 50 G' ]1 f7 D" ` j, I* M
[ ask patches with [max-grain-here != 0]2 @& x+ h1 R) `0 c6 [1 g
[ set grain-here max-grain-here ] }8 V9 ~2 V3 Z( N* C9 ~- R$ w
diffuse grain-here 0.5 ]* P0 y$ E) `% r+ c- l9 u+ f
repeat 10
. A5 s" F& t1 B7 q7 S; [) ? [ diffuse grain-here 0.5]
; z, d( e: d% H x1 D ask patches
, l; r8 m8 B" w1 v# V: m. l; c: b, H [ set grain-here floor grain-here
5 {. X5 l8 |( x$ d. ^ set max-grain-here grain-here
& P' \5 @$ X3 U" E' O" |8 D% s recolor-patch ]: P6 B- [8 {6 c$ l3 R! x
end+ X; @: H2 M+ t$ @9 A( ~& A( e
to recolor-patch # Z& r/ H7 `) f0 G& J, E! D- ^
set pcolor scale-color sky grain-here 0 max-grain/ c4 P. [7 [# c d4 [; ]
end
, p/ g5 M$ C8 r7 U$ l7 p! G% H) [to setup-turtles/ N. N7 u; r9 v/ a& R3 m
set-default-shape turtles "person"
, h2 ]# B$ Q$ Q2 G( z# a crt num-people
: z# e' v! S! J4 \" A" R* K; y [ move-to one-of patches 9 W% X3 x: o. B: |! o: T; \
set size 1.5 ' x; Y1 b) z. ~: n' L
set-initial-turtle-vars-age
0 X6 c( E3 K9 G8 G) M0 g set-initial-turtle-vars-wealth/ `# e" X$ k6 g
set age random life-expectancy ]/ F4 O7 l) r9 m% D* r1 d T. ]" R
recolor-turtles
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& [% ]: U% @. |: q0 g, Mto set-initial-turtle-vars-age, K3 p( U: J; T! ]
let max-wealth max [wealth] of turtles+ {/ c' P6 o9 N$ {$ ~- o( R [
: _- O# j' g6 O
ifelse (wealth <= max-wealth / 3)
7 l% t$ k! t# E. j [ set color red ) u- W6 G g9 H9 X1 }
set age 0
" O: ^. C8 E4 i( k& I6 b# L! G face one-of neighbors4 N- y/ Z7 I/ s
set life-expectancy life-expectancy-min +; ?4 Y8 I$ g, F% w0 d& m8 @9 S- c
random life-expectancy-max
: k" I! ]. F( a9 O' ^* U0 A+ U set metabolism random 1 + metabolism-low0 c6 w% Y# b1 H7 ^
set wealth metabolism + random 30% ]5 s! z8 E B8 c
set vision 1 + random max-vision2 R9 k2 S" {. n' E
set wealth wealth + Wealth-inherited-low ]
! Z# g0 g) D# l8 }+ ]$ {$ u5 V [ ifelse (wealth <= (max-wealth * 2 / 3))# W! ~/ c8 K; V( W
[ set color yellow
1 F4 Q6 I0 X4 `9 `6 ` set age 0 m. [6 N- V- x, H2 J
face one-of neighbors4 / G& q9 L9 ]8 M6 b& q3 M* ^1 ^3 A& K
set life-expectancy life-expectancy-min +1 G, q. S' h. h
random life-expectancy-max + 1
5 p! j% \3 v+ N4 N$ N set metabolism 1 + random metabolism-mid" H8 G6 O3 z+ X3 i. @+ ~8 w- t
set wealth metabolism + random 30
6 W& a. Y/ y0 n) M! w* A set vision 3 + random max-vision
+ }, D8 a3 w7 d: N set wealth wealth + Wealth-inherited-mid]
+ j/ E9 i+ ^1 @$ ?$ l c [ set color green # [, f' s9 D% L0 F: [
set age 0
0 R# }- N7 p' p, | face one-of neighbors4 9 Z' {+ Z& z" w0 T: Q
set life-expectancy life-expectancy-min +
, g- X% T- H8 k+ G h4 l random life-expectancy-max + 2( Z4 \2 R, D$ X7 B$ `, ^" D- t' ?
set metabolism 2 + random metabolism-up
' q' M( s9 I0 u& O set wealth metabolism + random 30
}: J' n* X' s) S# Q. S' F- o set vision 3 + random max-vision3 Y# ?7 ~# k2 P
set wealth wealth + Wealth-inherited-up ] ] - w' c$ [9 h7 o" C# r
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end, |* p# Y1 Q0 t4 X; U
to set-initial-turtle-vars-wealth
8 h" L H6 P# N3 J; m! `6 M let max-wealth max [wealth] of turtles
- ?4 C/ D( i0 j# D R set age 0
! h+ c$ L+ m4 X: G face one-of neighbors4
! u9 T+ F7 T {* q. y- C set life-expectancy life-expectancy-min +
- t9 `# g( p- V0 y2 G) Y' a random life-expectancy-max
; B' G0 `0 Q3 u ?) R set metabolism 1 + random metabolism-up
* P1 r. {/ @, b9 c set wealth metabolism + random 30
. C# \2 ]; _7 m4 u/ q. B7 C9 I set vision 1 + random max-vision 0 J% H; |8 V) Q* I. N/ A' [
end0 j7 @$ k/ [3 b3 {' ?; D: j
to redistribution
2 X0 B: O! e9 p9 Z& s* p8 Ilet max-wealth max [wealth] of turtles8 N$ Z- L6 ^; r' U; Z2 V
let min-wealth min [wealth] of turtles, \: X0 v: n* ~1 ?6 Z- d( J- P
if (wealth <= max-wealth / 3)- m0 Q) B; L0 A. \
[set wealth wealth + Low-income-protection ]! p( N+ H, |/ ]; T* J( L
end
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: g. u4 \" x) S) eto recolor-turtles
3 J* {- `4 B+ z, t1 S2 Q6 B let max-wealth max [wealth] of turtles
# c+ e0 m1 [3 V6 b7 O! G& X ask turtles
" j" Z7 ]7 i3 A, h4 G8 i& b# r [ ifelse (wealth <= max-wealth / 3)
) R; `( g& C+ u- n7 P [ set color red ]
; d1 Y/ g# o& K% {7 M4 d2 ^ [ ifelse (wealth <= (max-wealth * 2 / 3))0 z) p; i' f+ V; U
[ set color yellow ]
. Q9 m( i! x; c& G [ set color green ] ] ]' Q% k K5 T7 L
ask turtles [ifelse show-wealth?2 @& S" q" m1 r
[ set label wealth ]8 a' E" O4 Q7 G4 A6 g8 |0 _, H; R
[ set label "" ]]" J, g# o5 ~; {: \+ c ^( ^* m3 z
end( B6 m2 n* _/ y2 R+ ^0 a
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to go6 K$ r. t% Z+ }$ S' B5 |
ask turtles" |6 ~' V2 g. _5 F# z
[ turn-towards-grain ]
& p0 m7 ?! e2 U5 T2 P. H harvest7 F2 r7 M$ i3 h* J$ i( J- w1 B3 `
ask turtles
* d9 g) F( t& S8 s4 Z [ move-eat-age-die ]2 C3 M/ A5 C$ w" U
recolor-turtles
, g- B) \0 g- h if ticks mod grain-growth-interval = 0
1 c0 K% M2 J/ h3 u$ V [ ask patches [ grow-grain ] ]
" D2 h4 y9 U9 |% K6 e3 P
* _ F: S, i6 r( {. n8 u) Y: m if ticks mod 11 = 0& U/ v( e& r+ A {
[ask turtles/ F, _4 t t, o& s# @# m
[ redistribution ]]
" V1 y) A- [4 k if ticks mod 5 = 02 d2 Q9 |' V0 O* c, u! Z
[ask turtles) `, S4 `# k( f* p9 f( v- E8 Y
[ visions ]]0 z: F* m0 {! M9 }: V
tick' r3 `6 b5 g2 Y9 t, w
update-plots
* M4 ?2 D- r% b* b3 C: fend! O; X' r% x1 F0 k) G
to visions* D* \: Z+ R; h4 D* J3 ?6 w
set vision vision + 1
* |# _, E) w1 m0 y1 @8 A' E8 Send
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7 r$ E) q- d2 [8 k$ Tto turn-towards-grain 2 K4 F# w: A; D& T/ T
set heading 0& B3 W2 D, K! m( k
let best-direction 0
5 ]6 \. O! f# s) z% [' X let best-amount grain-ahead1 o3 n; G$ X) H" I( L
set heading 90+ a* u! l' d5 e+ ~" K( H1 N) p$ c+ F
if (grain-ahead > best-amount)
" L; q3 C9 E! d8 f0 w5 K [ set best-direction 90
3 j' x p1 U/ D set best-amount grain-ahead ]/ I; m. ~, M# E; l
set heading 180; V$ J. R9 ^; ^9 m3 F+ m
if (grain-ahead > best-amount)
1 V v4 S) Z- f: r7 s/ l [ set best-direction 180
/ r; W) l- H3 w6 P; ~ set best-amount grain-ahead ]
/ o& \4 H' U. e) d8 W: j( o set heading 2703 S4 ^' Z$ O/ S9 C2 c. s4 ?0 C( K
if (grain-ahead > best-amount)
% @. N: V8 R$ N3 g# n A9 @ [ set best-direction 270
# i5 o5 a$ G5 | set best-amount grain-ahead ]. p; z; O5 u# k) y
set heading best-direction
# H- z1 h/ c h0 bend
7 j; S( H, j V- v) q/ S6 I( l8 f$ F
/ B8 W$ d3 D3 X/ Oto-report grain-ahead 7 C& h ^: Q1 a4 f2 w7 [
let total 0
; m/ `5 {; ^7 W) o! a& c" v- b let how-far 1
/ C, m! R1 z) X1 W! Z6 W- X repeat vision
$ N9 @$ t2 k* i9 d [ set total total + [grain-here] of patch-ahead how-far, ?2 O8 [; |% r4 L" Z& n9 [( Z
set how-far how-far + 1 ]
1 P" ~ w) Q) {( l8 d report total
( W6 r7 C# h: l" ~6 o0 l+ Wend3 x/ n4 K+ u2 s r. ]
7 p/ l, Z; g: e/ H; p% A9 h! kto grow-grain
. p! g. s* ?" @% a& ?% v& Z* N if (grain-here < max-grain-here)
# X4 W: z8 ` W! r0 }9 N2 O [ set grain-here grain-here + num-grain-grown. w/ x! `1 d* w' O4 A" {# i* p- x
if (grain-here > max-grain-here) 9 D9 |( j$ Z h5 P _: H9 ^% z
[ set grain-here max-grain-here ]
' \9 C9 s! L! z recolor-patch ]5 y) B1 v+ K' G: Q0 w5 n A
end
/ [8 P. p9 ?. zto harvest2 I# M8 X5 T% E k& V; ^8 n
ask turtles7 c$ b: y v. O4 B# p7 A7 H
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
$ i! I0 o: s* L7 d% H, i ask turtles1 @6 n+ M/ n1 L7 Y0 o A, q
[ set grain-here 08 V& @" b1 R" Q b) N; e( x1 S0 E
recolor-patch ]+ }4 k/ Z& r( ^. T; ~1 _- h6 ]
3 s- {$ {* e+ p0 b/ n$ S+ @
end0 h/ R$ T7 S O- D4 n R
8 z3 x! m( b" r3 L! B* W% L Kto move-eat-age-die
9 ]5 Y, T# l- s; Q H fd 1
" A" z2 V; U1 M, x' H set wealth (wealth - metabolism)/ K) l: G6 [1 \) j
set age (age + 1)
- [' c* l) D# ?, | w% M0 g$ ?; o if (age >= life-expectancy)
7 m: m9 Q/ D- Y7 T& [ [ set-initial-turtle-vars-age ]
# @% `) O1 Z A4 ]$ S4 ^ if (wealth < 0)7 L/ M- V2 T; m3 G3 M# u
[ set-initial-turtle-vars-wealth ]
0 D1 E% B' x' j, z
2 |2 W% |6 e6 w8 E6 yend: k; _! W8 ^* n9 z1 x/ t
' O4 q5 {. ~. a u8 S% |8 P
" I/ t* e9 G' C8 e4 }to setup-plots
: E* q$ Y2 Y1 C- X+ E' u set-current-plot "Class Plot"2 U' h8 a" ~ r! N$ ~: ]5 u$ v
set-plot-y-range 0 num-people
- _3 [; o- P% [9 y( |% y+ ` set-current-plot "Class Histogram"' ]' z4 \1 k$ G: u
set-plot-y-range 0 num-people
& }% r$ @' o0 T1 aend2 c& |# _ g, M, C X3 [9 I5 X
4 C9 y M# n% y7 M; w" V2 `$ d( T
to update-plots
! n/ l* @+ d( U9 R& f! ^ update-class-plot5 \, `3 H6 P$ n7 d* V6 J
update-class-histogram' C5 W9 q" W+ j9 t: [% a. i
update-lorenz-and-gini-plots! i; p4 _4 x% L6 x8 \) ?
end/ l# e9 }& y, E. K
4 B9 l$ u7 L! }" E+ P8 ]
to update-class-plot
2 {0 Z( Q1 M$ K O set-current-plot "Class Plot"5 P# i+ I) q$ Y2 {: G
set-current-plot-pen "low"
R' \% W( b7 k1 D/ ^ plot count turtles with [color = red] Z9 j' y4 k$ L; |# G
set-current-plot-pen "mid"
2 t& t8 n2 T( f" v, u) [* f plot count turtles with [color = yellow]
|+ `7 y7 ]& A set-current-plot-pen "up"# t8 c8 W4 c& {7 N. D
plot count turtles with [color = green]
! @7 M# W) y U( {8 l/ j- \end3 I1 c+ G. x$ t# |
( B- M( E9 E( M Q' ^/ r: p( gto update-class-histogram
9 q4 _: [4 q) V* C set-current-plot "Class Histogram": D) I( O8 d" q2 t$ y% b
plot-pen-reset! `7 x, M Y9 p$ T9 N2 u" R% x
set-plot-pen-color red
6 R6 ]7 ^, z% } plot count turtles with [color = red]9 f; H& f$ h( k4 N9 i
set-plot-pen-color yellow. z+ w( J. ^! K% f
plot count turtles with [color = yellow]
6 T1 s! x6 M" X h) f, d8 ~& C set-plot-pen-color green
2 k* g8 f! v5 x plot count turtles with [color = green]8 k6 ^& U) F$ I" K0 w6 x
end( R5 r# G$ y) J8 g( C& i
to update-lorenz-and-gini-plots- S2 o- _+ d9 e8 k! C! K$ u, e
set-current-plot "Lorenz Curve"4 Y2 X: `! G$ x( E
clear-plot
# i% r& P1 n' Y; Q) G* {0 X* S1 ^; ^ U" ]0 t: Q' u9 f! M& n
set-current-plot-pen "equal"5 {- Q9 Y3 e3 K9 h# T' d
plot 0! H. p' }; ^4 @& j+ f9 Q$ G
plot 100
; D) L$ }: ?) Y" F c7 d: r: w2 F0 z+ [+ F4 K
set-current-plot-pen "lorenz"
* l8 ~0 }5 ?0 n1 h, q. t. o+ C set-plot-pen-interval 100 / num-people5 i3 I( L/ Z; r; |! A& `: {7 l
plot 0
0 u6 \& \2 _! g
* H( ?) L( A+ ^/ S4 P; V P let sorted-wealths sort [wealth] of turtles
. Q9 j, d; e. Q3 M$ Y1 K8 } let total-wealth sum sorted-wealths
: D% u' m: t2 ^. N let wealth-sum-so-far 0
9 v& t0 u; W! C% E let index 0
3 z" `! L f u3 t- a* J8 i let gini-index-reserve 0
7 q' x! `5 [7 C/ U% }) c- X
1 N5 X0 |) a% ]' y! g6 m repeat num-people [
2 c/ w) @! s" k* g: n9 G; X& }, F8 f set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)' ?1 ^/ N# _6 q/ u j' ^
plot (wealth-sum-so-far / total-wealth) * 100( X2 u; t) q& S& t$ Y& P+ t
set index (index + 1)
. L" h# H) ^2 V0 l- g" @* B1 j set gini-index-reserve
. I# Y* ?* q& h- m! M* H& ^+ D( y gini-index-reserve +
3 z4 g X: `# W& p (index / num-people) -
' R% H3 ^9 P% f (wealth-sum-so-far / total-wealth), t# E9 C: d/ m- I% B3 p
] Q7 d8 ?0 z5 _, s2 x- f; ^
7 p/ A4 E$ i# g2 E
set-current-plot "Gini-Index v. Time"
1 c4 s, \, I# o1 r: H0 k2 E1 W' p plot (gini-index-reserve / num-people) / area-of-equality-triangle7 a6 w( V/ O5 h: H* p' c
end
. o9 V0 p, i) c) l# jto-report area-of-equality-triangle1 J2 k" w7 R+ t- i9 {9 G
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)6 z4 L' q r3 C" e
end |