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) D0 \" a! U3 ` q, J( Y: h+ K4 P
globals8 L# N' t# ?2 ]% Q2 y7 }
[
! z3 U5 ~" \3 V1 @ max-grain
% C) s+ y, o0 ]* t' W" b! U
) U6 k8 Q" l' S W- v6 k" X( b]# i+ E5 O' g/ _6 P0 {% w& F: I7 F
0 j4 z0 P& V( P. Y' `' v
patches-own
& ~; o' Y% I9 [6 R[( `; D8 H0 l- _4 n
grain-here
2 }1 p, w# ?- d" E' S max-grain-here
5 |: Y% X6 w- h$ @# k]3 }* X8 S }# @% ~7 I: w
2 Q" i2 H9 a1 U7 D/ Z) _! P2 Pturtles-own
! `: h8 B/ f. M3 d6 N[
1 [* g& o D3 x$ t4 Q/ n age
$ f/ E6 p, K( l4 i/ Y; J5 m; N wealth 9 G! l N6 @4 h
life-expectancy / v L7 C3 n m
metabolism 4 x S' ] \8 `1 u: U* Y
vision
# i9 }/ c) I. o d inherited $ t$ H# n2 |2 e
]3 x3 A F7 S/ ~* G+ G
i( a, h8 }# [: C% _. D5 G4 n4 A! B0 F9 m1 N7 w
to setup
6 a( E, |$ z: G- T9 G! o ca2 H c1 F% u2 o2 R6 P) n
set max-grain 50
+ e% @) {: B) s. h% u9 i& M" L setup-patches
; \! n y H. {3 |- t# p5 d setup-turtles, C' ?, b( B( L* H
setup-plots
$ [# I- ]' z4 L update-plots! \$ k" h3 W+ \; C0 { D; S8 k
end
8 _: H3 V& C0 B* w/ O7 C3 Rto setup-patches
) w# j. o- u7 U5 J# q! U ask patches
* ?8 g: [( x7 N7 \ [ set max-grain-here 02 ]* y0 J' c0 g8 x% C6 j
if (random-float 100.0) <= percent-best-land
% \4 |% C" C+ ]! S1 f [ set max-grain-here max-grain
& x( f+ T8 M9 A. k& z5 g+ p set grain-here max-grain-here ] ]
5 ]7 J, K5 X8 g7 e: x repeat 5
, Q8 I8 g) H% @% V [ ask patches with [max-grain-here != 0]
/ I6 P# S; L$ L0 U( x8 T5 _ [ set grain-here max-grain-here ]
3 _" [! I* r, U* d* D5 M diffuse grain-here 0.5 ]
: }0 S7 ~- d. U2 _4 G repeat 10% N+ ~* f' H( ~1 Y
[ diffuse grain-here 0.5]
1 y: ?, V" {2 P: ] ask patches
. c6 F, G ]8 g) V! X, l: i0 C [ set grain-here floor grain-here
! B% a6 |/ e% X/ W) w- A$ W set max-grain-here grain-here 6 b& L. M2 a9 g6 O
recolor-patch ]
; T! F% @# d l1 Vend
/ q0 F7 K& J3 p$ j6 v( F8 Qto recolor-patch 5 Q3 b" q+ r0 g5 h
set pcolor scale-color sky grain-here 0 max-grain
4 r7 t3 c1 D' w9 f: l- zend
3 Y8 o! E% Y$ @' Q2 |to setup-turtles. o* K: ^" {. Y9 A& ~; \; ~$ v
set-default-shape turtles "person"
8 ]% ? h" u5 r; r crt num-people
; h+ b1 I; R% Y* ] [ move-to one-of patches
}' p& D t6 V. p& _6 T set size 1.5
, z; M: g) T0 l, l& y, y set-initial-turtle-vars-age( `1 B1 U1 y" R* k |
set-initial-turtle-vars-wealth
6 p! Y8 y. v0 n8 B" C/ D set age random life-expectancy ]
* A, L1 [2 |% Q, A S7 E, } recolor-turtles: `* J! `5 @5 v0 T% Y7 {6 f; o
end8 z; i' f1 l/ {1 M( l% r; |, l- \! B
M7 @2 L$ Q. j( Y; g* `( Y& Sto set-initial-turtle-vars-age
- j8 a& v+ D2 d/ { let max-wealth max [wealth] of turtles+ W% d$ D5 H) I- q3 I3 y+ J k
/ R+ L& c4 B1 n: c+ Z @$ V/ R ifelse (wealth <= max-wealth / 3)' Y0 \8 i( z3 H4 a! u: i
[ set color red 0 C- q+ a: i( R% I& I9 o
set age 0; }. X2 m6 x) N2 Z$ R
face one-of neighbors4 0 `; e0 g7 g2 {( {7 n0 v- [3 Q- T
set life-expectancy life-expectancy-min +
, ]3 B+ T- g( d9 u random life-expectancy-max
* d' V: `0 D/ u" n set metabolism random 1 + metabolism-low9 E& U' V* w- g/ T8 d
set wealth metabolism + random 30: u! a6 c7 [: o' f# f: T6 W* T5 v$ m& X
set vision 1 + random max-vision
" s" O; H1 n/ r9 r9 D! [ set wealth wealth + Wealth-inherited-low ]
`, c8 ~ D3 T6 b [ ifelse (wealth <= (max-wealth * 2 / 3))' ^ G; o( M) K% v
[ set color yellow
' B. a7 _+ o. ^' z1 P1 j set age 0
9 M: k. M/ I3 E0 U# S$ V/ O4 x face one-of neighbors4
9 m) o: Q `3 w/ j! L: u set life-expectancy life-expectancy-min +
8 g$ J4 Z- `; m* ]5 \9 U0 O$ j F& E random life-expectancy-max + 10 U/ ]7 D7 o* H# e* D4 t" e
set metabolism 1 + random metabolism-mid, N) Z6 Z8 n& G. x5 l5 k8 w
set wealth metabolism + random 30! }1 e4 P( j2 V' t
set vision 3 + random max-vision6 L* x1 L# s* H% L' b# N ~; p
set wealth wealth + Wealth-inherited-mid]0 N+ |0 x4 ^! o$ P! {' [) q0 E7 l
[ set color green
' q5 u1 s3 Q; q a2 n set age 0
! p- J0 V/ x* p3 O+ U face one-of neighbors4 ! }' {# O$ f: [: L0 I
set life-expectancy life-expectancy-min +( A* ]" T% M( I# V- ?
random life-expectancy-max + 2
( q- o3 E; `# s4 g0 r* ]( X set metabolism 2 + random metabolism-up
% c2 I$ \- Z8 n, Y R9 x0 i& W- U set wealth metabolism + random 30
+ y& b' ^$ m" v: p3 P' ]$ b set vision 3 + random max-vision+ @; d- `2 h5 m$ o
set wealth wealth + Wealth-inherited-up ] ] - I4 A3 W: A' X* c5 _
0 z; ]/ A! t z, `7 L d& u
end
& m; C, r( Q2 x6 s9 P2 B- A5 Hto set-initial-turtle-vars-wealth' }7 f. N* ], {1 q
let max-wealth max [wealth] of turtles
+ `6 f/ n3 H" j) e: g9 w set age 0
$ K+ q4 C& f d1 t face one-of neighbors4
9 D# o7 Z6 ?+ R1 ]$ [5 D set life-expectancy life-expectancy-min +: h- ?2 |% t. ?' s; j$ J
random life-expectancy-max
2 l. C4 t1 N, o7 D: X% p' d' Z/ ~ set metabolism 1 + random metabolism-up
- Q( z' j8 E/ L9 I set wealth metabolism + random 30
! V! f Y9 q3 G6 @- M$ y set vision 1 + random max-vision % _* {4 A+ U# c. c. y6 t" g
end
0 ]( J. _; Y9 ~0 [: n" y1 ~2 dto redistribution
9 X4 T9 V( L& `9 m: z% c, Xlet max-wealth max [wealth] of turtles
! Y: b$ v0 s b) O, W$ ^3 alet min-wealth min [wealth] of turtles
& J3 }: m, b' }if (wealth <= max-wealth / 3)* A2 b$ f/ |' Y
[set wealth wealth + Low-income-protection ]
6 q Y8 H2 w& yend+ k2 V7 W+ k" r5 F7 u
" E% f9 v& b5 J6 ~9 ^3 w L+ Vto recolor-turtles' h# J7 u1 `, C7 L
let max-wealth max [wealth] of turtles3 `- |! A9 n' u) q
ask turtles; g# O, g5 Z9 M6 B- w" e
[ ifelse (wealth <= max-wealth / 3)
8 w L% p- C( o4 o: I8 N [ set color red ]1 j; {# L: o6 m5 P& z4 f3 O: ]
[ ifelse (wealth <= (max-wealth * 2 / 3))4 R) K: u, @) v4 t" e% l
[ set color yellow ]1 U3 O4 n) V0 q: l
[ set color green ] ] ]
# f& S: K$ I% F% P' _& D. V4 ]$ d ask turtles [ifelse show-wealth?
" F( f- K: j* U3 \" O [ set label wealth ]
& S) x/ S& B! l& g2 }5 n. g [ set label "" ]]6 X" c$ D# G {
end- b+ c' H8 t8 s% V) C- s; }+ g
7 _8 v) m2 |5 n" u, i0 ]
to go
) Q# n7 D. V Z ask turtles
2 V6 v* _! G) e! }7 A/ ^7 } [ turn-towards-grain ] 0 O1 V) f# r- W! g+ ]( W
harvest3 |# W6 y, j( v/ N4 d8 `* S" U
ask turtles/ _' ?# `% G( n( z
[ move-eat-age-die ]
4 g* ~2 @- l9 _) u# E/ P1 o recolor-turtles
5 a* x: r1 P$ l if ticks mod grain-growth-interval = 0- f) X Q2 \) t: z2 E
[ ask patches [ grow-grain ] ]
! I. d) ~5 R& J5 O- I! K3 ~
5 h& k. g/ i; R2 @& ^# A G! I- S if ticks mod 11 = 01 T$ r/ E, Q$ x3 L/ h
[ask turtles
' e3 U1 Q) n. k: }2 x& I: }& d [ redistribution ]]
2 A: J; {# H: u if ticks mod 5 = 0
- M% i0 U4 V; q4 D [ask turtles
; I9 @5 ~* ? E [ visions ]]0 o/ e2 J# B# B1 P5 Z) c/ u( d9 j
tick
/ M0 Q J; H% |& } C6 S update-plots
( S) I( S$ B* O3 d& jend6 y5 Y7 z2 t9 A/ H9 ?# K b5 y
to visions
/ E: m3 g: d6 i+ v, S [) Z! a set vision vision + 1 % g& r( H5 U, I
end
1 f2 J3 J, H! N% s% f) N6 g$ {2 ^
) o/ v# Q! C3 ]3 G* u n1 x6 Y4 z2 w
to turn-towards-grain 4 _: e: H& S: e2 N4 d" {
set heading 0
4 P2 f3 A. {* H. F1 d+ k5 s0 E4 ?9 U let best-direction 0
- @+ [6 d& K; H J, T: b! ~% {/ A let best-amount grain-ahead5 j; C" m. m+ H5 \
set heading 90* E* x. h! b( }, s5 D
if (grain-ahead > best-amount)
3 C* X* f& p; z) s) I6 J+ O6 W) u [ set best-direction 907 S8 `8 P$ H" E! E
set best-amount grain-ahead ]
5 g, _0 u* c. Q set heading 180$ S/ m( z0 S' w# h0 g1 @) o
if (grain-ahead > best-amount); ]1 \2 W d& b/ N# E, t
[ set best-direction 180
. X$ j1 B! V6 U) B# p- j set best-amount grain-ahead ]/ Y; z5 u( i- Q/ F5 R
set heading 270
, M% ]8 J+ ^0 Z; W if (grain-ahead > best-amount) u# M H! l9 p# `5 v
[ set best-direction 2703 c! `' W; S5 T+ }- m
set best-amount grain-ahead ]7 i1 U4 j* }3 E* l
set heading best-direction
! Q0 i5 U2 D$ \5 M3 B6 Jend/ d/ b# R! O5 q, x! v1 y* ^ @
: G& {1 p$ ^. M8 W7 K$ S& f! a$ P
3 ]5 D5 w5 g, a+ }1 e( `6 hto-report grain-ahead 3 V3 G$ V- ^( Q4 P2 {
let total 0
3 J; O2 u1 M+ K' d i let how-far 1
6 P8 s' ~/ P" L5 g repeat vision
7 l+ @; \& L+ C. h4 [6 O h [ set total total + [grain-here] of patch-ahead how-far
# X+ m2 c( r' Q1 |/ c1 c1 k set how-far how-far + 1 ]
) X' Z1 P9 O' `0 D report total
- Y# ~" p2 T% Y8 rend- z7 I5 y+ U$ D& P6 n1 U
6 B8 y5 V- F& t6 `! q
to grow-grain 1 G- S8 t% g# [3 O, g9 {$ I
if (grain-here < max-grain-here)$ m1 W* J2 r4 R }/ O- _) F
[ set grain-here grain-here + num-grain-grown5 ~8 b- x5 X- U+ r9 \2 X
if (grain-here > max-grain-here)
" q |* }2 J7 x! x3 a6 O8 \* R [ set grain-here max-grain-here ]! ?9 s k$ w4 e% q! A, m
recolor-patch ]* q) e; Y( Y7 J6 V, X( \: z$ g
end
8 K' S7 F3 e4 A) R0 J+ R; ito harvest- u$ W1 B5 g6 e) m y
ask turtles% t }5 D, b4 [9 z; z
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
, h: q- {2 U8 L9 e9 O ask turtles
- H" S* m) v, R$ y, H4 K8 T [ set grain-here 0* k0 b0 g; ?0 Y. F+ {7 Z
recolor-patch ]
" q% F! N# f5 m9 |$ }$ ]7 p 7 E8 ~: B6 R' s' k4 x6 Q
end: V( C' f9 |! S2 G, A
! V% G. U- q& c9 \4 k, Fto move-eat-age-die
! T: ~) o3 c, w; j+ j9 Y* e1 i fd 1
9 H% k0 p2 I" Q8 S) o set wealth (wealth - metabolism)3 K: v3 [; Q/ D" n# s0 g, g# i
set age (age + 1)
/ U+ b; q! d. j6 j4 @ if (age >= life-expectancy)
- j0 M$ F7 O: q4 p# C [ set-initial-turtle-vars-age ]' I2 O; j- z1 m( e" G5 S5 k
if (wealth < 0)! _- T7 d! p0 g m; ?7 T
[ set-initial-turtle-vars-wealth ]7 B- I5 P, K6 k- U. W
2 Y/ S- v! J( Qend
) y+ ?/ `4 q& z
& V$ [- Z5 I6 ~4 o9 z5 S; w& x- ]* j7 F- j- c( E7 u
to setup-plots
% ^* K: B/ l+ n1 t4 t set-current-plot "Class Plot"; y* }9 W6 E& H# _! Y
set-plot-y-range 0 num-people
: T5 w8 i" O3 ?# q; w set-current-plot "Class Histogram"
6 h6 o4 N! M3 N7 w set-plot-y-range 0 num-people
8 a8 g) q1 I* F. [: Cend9 w* [1 g9 W1 G
. S w4 u; e' S; L& D- F! X
to update-plots& f8 ^. ? s8 c' `# K, X# H
update-class-plot0 h; M! p9 _) `- \* x' n, f
update-class-histogram+ y. I$ o3 r/ X$ `! \
update-lorenz-and-gini-plots2 W6 W ]* R7 P6 d/ u; [! e
end5 S% }$ z& U% g4 ?2 R3 g0 {6 p
6 }0 ]; v) Q9 d
to update-class-plot6 R' d' s# @* Z9 R! h; G
set-current-plot "Class Plot"6 V6 f* h- [7 j, G4 x% I8 N* Z; X8 F! q
set-current-plot-pen "low"/ I2 G3 M& X( _6 g8 g' w
plot count turtles with [color = red]+ m6 E" N# ^; u/ j: E
set-current-plot-pen "mid"
, e) G& v; I# l" W5 w5 l plot count turtles with [color = yellow]. U- x+ W; I9 C& h
set-current-plot-pen "up"
|2 k: { {3 @ U( B$ | plot count turtles with [color = green]
& F9 `7 X1 E7 Dend
/ W6 U; z- u* }: f' {& I2 K
) u# U2 q# z3 K6 Hto update-class-histogram1 ]' K. Q4 Z% s5 [/ t$ z4 y3 ]
set-current-plot "Class Histogram". `/ D, `" |1 k
plot-pen-reset' V9 Q0 Z" t8 u, T. Z1 ^' i
set-plot-pen-color red
3 y* P5 Q g7 P9 j- `4 B4 U q plot count turtles with [color = red]
& L- Y! x8 s8 f$ q set-plot-pen-color yellow! e, }9 ~9 b+ e% g
plot count turtles with [color = yellow]
: e5 t: e6 s; B" T( ^6 V& `6 T set-plot-pen-color green. A {: L2 f W2 p4 G( K$ a
plot count turtles with [color = green]6 H- L# |4 e+ n& A. j/ o
end) q, ~3 {' d# R7 \
to update-lorenz-and-gini-plots/ ^9 e3 B6 `% b6 h
set-current-plot "Lorenz Curve"
' X+ E6 ~1 M5 R: i( H, ]$ j clear-plot7 k0 E6 E$ X) }# ^
- O$ U+ o$ Y; Z
set-current-plot-pen "equal"" f9 d9 R7 K% J& e
plot 0, O. L& K4 a9 e
plot 1005 ~2 j; e. r. H: a7 L
0 d! ]. C( ?7 B( d8 S9 v
set-current-plot-pen "lorenz"
6 W+ H' \' q( J H& ^( V7 a1 r set-plot-pen-interval 100 / num-people! p" [+ M. I2 x1 P2 h* o
plot 0
2 F p; D! S2 F# E
& W4 l1 V- u1 \! S1 t. G let sorted-wealths sort [wealth] of turtles8 H; q1 q' Q+ l2 g
let total-wealth sum sorted-wealths
9 H. S- J s7 ] n0 l let wealth-sum-so-far 00 @: v. g# z# @8 d% |' B/ X" J8 v5 U
let index 0
* U; M6 @7 ^0 S let gini-index-reserve 0 l' A& ?6 i2 s8 ]
q' {% B2 n( M
repeat num-people [
* _; z$ d. b* X/ s: g* [ set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)- H. P& H9 e8 Z$ C# }. r7 M
plot (wealth-sum-so-far / total-wealth) * 100
6 l) k. D: [- K5 V' ]" x+ |) W set index (index + 1)8 t* ^- |& K- J. }& B
set gini-index-reserve( t5 s7 N7 E$ Y# S3 j
gini-index-reserve +8 R$ y9 @, G" q s6 K0 b- v8 H
(index / num-people) -5 H" p/ D' S1 H0 |. R( Q
(wealth-sum-so-far / total-wealth)- G& n6 ~8 n1 k6 t3 Z- ?
]
. @ U2 L5 _+ k2 O
0 }$ R' s/ ~* t9 B. O set-current-plot "Gini-Index v. Time"
; V$ g: r! S2 x* F9 I6 h4 e plot (gini-index-reserve / num-people) / area-of-equality-triangle
( S) R' s6 ]* Y+ W7 a9 \end
. w. V0 T. F0 m/ X5 P+ Q& Bto-report area-of-equality-triangle
; w% h' s4 Q; ~ report (num-people * (num-people - 1) / 2) / (num-people ^ 2)' z( F% l4 o! @2 p% C3 _1 b+ y
end |