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
; `; M/ J0 | k) O9 X6 j' Qglobals) f5 g3 w! B3 f' W5 g
[, K$ I4 o, l' E* V% L( w
max-grain # f5 q8 V9 B7 [, j- S- s7 O
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]* B/ u( ~/ g i5 P7 [3 D
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patches-own
) v* v5 f' G& {# I[' E6 _- ^2 C. O
grain-here
+ G9 e, y7 Q, N0 T. @ max-grain-here
7 o8 m) M! U( k7 h5 G( a* Q* S]: d" k9 u6 Q g" Y! }& k7 |/ P
& k1 Y' t$ V; {4 B
turtles-own. U0 Y$ z8 @5 R2 Q2 h# ~- L" }
[
- r7 O: W7 q) o4 y# J1 }- ` age
2 S% x% \5 a! ~# [. ?7 A4 O/ Q wealth v B" r9 x# p! w5 t. t9 L3 T1 P
life-expectancy - l7 ?6 P& f5 }- t" ^+ K; G
metabolism
" G, R% @$ E$ S: H9 J% {3 d' E2 D5 n! T vision- f# |; B; Z/ E- v; G8 @4 X9 U1 D
inherited
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* L; m. j4 ]+ ]2 K- Eto setup% G+ f2 Q8 a. y- F! M0 Q9 [8 p
ca
4 N1 Q2 [* E% {' p- w P) ]9 ^ set max-grain 50
" `9 |. U2 e/ c8 x: z setup-patches5 L2 L$ g" @+ `1 [
setup-turtles
8 U f1 b, ~% `- r8 { setup-plots8 C! o& ^! @4 r
update-plots4 |; h- W2 s& q9 t0 |+ c- Q3 K
end0 R6 r* t, u+ K% X6 t# M' s" L; `
to setup-patches) p% j. `( Q, S; n, y
ask patches2 c8 V' A4 @( i0 {7 @$ E3 i4 j, b
[ set max-grain-here 0. z" V* X# b+ e, Y' D, l) u/ q8 I; @
if (random-float 100.0) <= percent-best-land
* h, i3 \& F: a$ F3 l9 Y- J [ set max-grain-here max-grain8 c% w) i0 _( @ d8 U+ G" K
set grain-here max-grain-here ] ]
! Y; x9 x$ G; K+ \! d repeat 54 O7 I, i6 T, ?8 f
[ ask patches with [max-grain-here != 0]0 G' J' [* P! f+ j
[ set grain-here max-grain-here ]
# m( O! Q1 J$ { diffuse grain-here 0.5 ]8 }- o( _6 N; Y4 _3 ~+ X/ D
repeat 10
3 A8 B, `! H6 H [ diffuse grain-here 0.5] 1 M2 G1 g# F5 Z0 J1 T" g) x
ask patches
- k3 z/ ?- i1 K* v+ o [ set grain-here floor grain-here
% h3 I1 p- [7 S; [' s set max-grain-here grain-here # O+ ]" n& i' l' u( W
recolor-patch ]9 Z8 W% Y* |2 N: \
end
& d2 N6 A5 [, J- }- _to recolor-patch 5 C( e5 q7 z& d6 ?* Z; Y* v
set pcolor scale-color sky grain-here 0 max-grain
' V3 p4 q3 Y) ~end$ b: M. r4 V8 L: X
to setup-turtles
, g+ i. t+ ~: D ]2 \& G- G set-default-shape turtles "person"
) V; S Q/ n3 H# _ crt num-people8 n. `6 P* ?! U7 `6 D8 Q' x8 w7 e% g
[ move-to one-of patches * C5 K" Q- s# y1 v* Y
set size 1.5 4 g2 ^; @8 F) p# I' b
set-initial-turtle-vars-age
; E2 H+ q" M, a3 U# i: R6 k$ U set-initial-turtle-vars-wealth6 B& O. B+ X) a8 U2 n% U; U2 W
set age random life-expectancy ]
* c. ?$ }1 B, F" W- W recolor-turtles
0 x# u& h6 x7 H7 ~end
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0 {% }/ a+ B. F5 e% H% xto set-initial-turtle-vars-age) ?' p% C A q: b) I6 t
let max-wealth max [wealth] of turtles
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3 [# r. R* C5 o8 G ifelse (wealth <= max-wealth / 3)! R. [- p4 `! o
[ set color red 5 D p6 {& j/ G. N
set age 0
) M! \( u( T6 B face one-of neighbors4
E6 ~% k+ @. U/ a5 T: @' S set life-expectancy life-expectancy-min +
7 H5 h; x' \1 H$ y _+ n random life-expectancy-max 1 A$ Q8 \: x# g2 g7 L+ @
set metabolism random 1 + metabolism-low; i6 v v1 R, J
set wealth metabolism + random 303 S3 m! y' L* i' @
set vision 1 + random max-vision
& L! G7 o: ]9 ]6 _ V8 [/ w set wealth wealth + Wealth-inherited-low ]
/ T; Y" a* L9 g. C, I; M2 }* T [ ifelse (wealth <= (max-wealth * 2 / 3))' {* C/ } h1 b: l9 |
[ set color yellow
. w2 U4 P1 \; @6 K p. k, a: d/ ~ set age 0
4 ~5 h2 g% e2 S& O$ c# t8 G6 J face one-of neighbors4
% L! D c4 ~6 S& G set life-expectancy life-expectancy-min +1 y+ P5 t+ ?6 H; x
random life-expectancy-max + 1
( ?4 _: Y7 d0 l( T" W% u set metabolism 1 + random metabolism-mid
1 q0 i9 r3 M3 f2 ~: ^ set wealth metabolism + random 30
# P9 F; w2 {# Y. s0 J set vision 3 + random max-vision- ?& Z, ~2 g" z: @9 O9 `2 ]
set wealth wealth + Wealth-inherited-mid]
2 }' e5 [+ l8 N$ F; j2 H [ set color green
$ @2 U' h/ L* Z$ Z. Z. G9 { set age 0' I+ g) \' Y) k7 l$ t6 Z2 ~7 N& k0 ]
face one-of neighbors4 1 P! g3 S7 H+ t$ P. m
set life-expectancy life-expectancy-min +
; z9 Q6 B) y; u- k% v* @$ f random life-expectancy-max + 2
' K4 R0 x* |2 R- u set metabolism 2 + random metabolism-up% k1 V+ [* K" K0 L7 H) D5 B) U
set wealth metabolism + random 306 n, i1 E) j3 ~1 H8 A, M3 t
set vision 3 + random max-vision a' [6 I5 |0 F6 p& ]; R* D
set wealth wealth + Wealth-inherited-up ] ]
2 G4 s4 u* [" d" K/ [ / J) d2 m/ V5 ?. e
end5 x5 u. |( `3 U1 }
to set-initial-turtle-vars-wealth7 v/ R) l/ S9 o8 Q& t: Y* i8 U$ ?
let max-wealth max [wealth] of turtles: b" j7 ~/ e0 q( m
set age 0$ K# Y% r& ?3 m! z$ @1 k, a4 h8 J
face one-of neighbors4 + a" u- ?5 k/ {$ [% u
set life-expectancy life-expectancy-min +9 A; E& N7 f" v8 M. y4 `
random life-expectancy-max
; @8 Z4 R; x4 s/ U* R( o! o4 z5 v set metabolism 1 + random metabolism-up, _3 }' G7 D3 {( a2 v* b: h9 g
set wealth metabolism + random 30+ [0 X0 M* B0 d
set vision 1 + random max-vision - [9 V! e, ]1 j) D e- h2 N$ I; L
end( Y0 s; R0 t, q O3 k
to redistribution
5 T: C! u" _7 ulet max-wealth max [wealth] of turtles8 q) t* G$ J/ t% O' l
let min-wealth min [wealth] of turtles
8 J3 S7 s5 G& c0 h2 N' Mif (wealth <= max-wealth / 3)' t- x8 [/ U3 |4 M! v
[set wealth wealth + Low-income-protection ]
2 s4 M% ]5 A% H; j7 Bend* }1 \1 D' r' Y5 S0 H6 F6 i( ^5 `% L
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to recolor-turtles! X" C; _" n- x: v
let max-wealth max [wealth] of turtles
2 H! p# h( g5 ], | ask turtles4 w8 z8 v$ ^1 y" N, y$ Z) A, Q
[ ifelse (wealth <= max-wealth / 3)
4 L; w$ A+ p2 P. p7 ] [ set color red ]
$ @% ^) D1 S# Z. z; _9 b. G- e [ ifelse (wealth <= (max-wealth * 2 / 3))
# f9 o* H2 X2 H% X" E, L [ set color yellow ]
8 L5 k3 j* h s3 F2 _) [- l [ set color green ] ] ]
/ B! l S( o ^8 [ ask turtles [ifelse show-wealth?4 p1 D# j1 M0 C! d1 j; I, \
[ set label wealth ]
% h5 ^7 d2 Q6 [8 ? [ set label "" ]]
3 a# ]( Y; D2 e3 Xend
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; d/ D5 `4 ]* n+ _# n* Fto go
1 P7 Q R. X" Z) [ ask turtles# z9 b0 C! `$ v
[ turn-towards-grain ] , t4 X: N1 J7 o: M8 }1 Z
harvest8 V" [, s; @- r- {$ u( d9 R% o8 S
ask turtles
7 x6 ^3 w- v7 j& Z7 E. [0 u [ move-eat-age-die ]. g9 g) k8 K% ^5 z+ S
recolor-turtles
( f2 v. e5 i7 p x8 z/ o4 L if ticks mod grain-growth-interval = 0
' U0 I/ O( K S2 M [ ask patches [ grow-grain ] ]
1 C* Q+ X& X1 h* W) B4 P" I
# g4 W1 d9 K% H0 z0 f if ticks mod 11 = 09 H$ {' M% O8 `4 e4 W8 z
[ask turtles
+ O; a3 M1 F: V0 Y# y [ redistribution ]]
, u0 P/ m+ W5 ~ if ticks mod 5 = 0. l8 D6 g# g O9 [, \- \1 I
[ask turtles
+ C' }! `! w; L: e' |4 c; Z [ visions ]]* d- V# j! q( Y( E: y+ e$ F2 g q
tick
0 O! k! x; o5 c8 b update-plots8 z/ A) t* S4 ?4 E4 y$ h) G
end2 C0 b, D# ^1 j3 t: q
to visions
( |+ \3 R# {+ w8 r: d set vision vision + 1
_/ |! u6 {3 }& O) i9 Fend! I6 Y% \# J- t' K- |) t
x' j( S, ^- Y
9 o) k' v; z( ?# w) u
9 O- r1 v; Q4 i- A+ v, x, t" Uto turn-towards-grain
5 X7 F0 v% T* L1 C$ H$ \ set heading 0; Y6 }# J U% c2 k" M
let best-direction 0
5 n& R3 T0 y; |, B2 m7 ~6 w let best-amount grain-ahead- S1 B) l: l4 z) G1 t4 l
set heading 90
9 i1 P( g6 v2 C- T: _; {$ ? if (grain-ahead > best-amount)$ ~9 ^- W$ J4 |; i+ u
[ set best-direction 90+ U- I% K$ Z% I( I" H0 x" d
set best-amount grain-ahead ]' Y0 g) {3 o- l
set heading 1801 I1 r, `" D$ G1 V$ b: V0 r
if (grain-ahead > best-amount): U3 s, ]5 m; l" j) h' J4 [5 h, x
[ set best-direction 180+ `" o1 {; M2 I% H* j
set best-amount grain-ahead ]" y" Q0 \. ]1 c7 z9 C: X
set heading 2705 T" q8 [5 {- v5 ~/ f3 \
if (grain-ahead > best-amount)
- \2 e# V% l- s# f W1 x' y A [ set best-direction 270% m' Y2 J7 F! F* T
set best-amount grain-ahead ]
9 O5 C, o; ^# P, R set heading best-direction- c0 R7 M5 M: o3 r& n7 q% w9 W$ `
end
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# v8 E( C" y1 [( s# L& }" U. k8 C' a, N/ R( ~
to-report grain-ahead
: e* u1 f, O) q' ?1 G' W: c let total 01 j" ^9 \4 S! C4 ~& r( }- P* d
let how-far 1
. Y: l4 e; z" R# r# `: [- d repeat vision
/ `. [% `7 T6 c [ set total total + [grain-here] of patch-ahead how-far, m6 j9 ~, _. R. h: L$ s
set how-far how-far + 1 ]' q- ?$ M7 k7 Q9 \
report total7 B. J5 _- c' x
end: a1 E0 Y3 _8 { ^0 e z
5 c, i5 R% B7 k& O" b/ E8 v6 t" L8 w
to grow-grain
, I2 m& t- S& j if (grain-here < max-grain-here)
1 b* N/ |6 d. a+ G [ set grain-here grain-here + num-grain-grown% C2 ~- d( h: u" g! X
if (grain-here > max-grain-here) . M' s' S* ?8 D! y
[ set grain-here max-grain-here ]3 O0 u8 j; j, ]4 ~' U$ _
recolor-patch ] C8 u- d4 K' b3 S. T- K# K! {
end& C3 f3 l6 V8 d
to harvest) C3 R9 s. p4 e# G4 {
ask turtles
" z6 i) s1 m- h2 O+ h+ B6 p- N/ s% y [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]; J5 p6 O E% t+ ^- w+ n0 ~
ask turtles" h" ~7 j2 U q) a8 @; c
[ set grain-here 0, ~. r G+ v7 t( Y1 s
recolor-patch ]
7 O% b; y* g& e" ? ' h9 y' g. z" Y7 P0 Y0 o
end F& B) R5 }3 e/ ~) y9 F, U
2 d# X' r! J, v
to move-eat-age-die
+ G4 W" y) K" o" I: L7 c2 U fd 1
. b% k7 T5 M5 Z8 Y% j3 j set wealth (wealth - metabolism)+ X3 d" _1 I3 L& s
set age (age + 1)
* d+ J% A2 w7 ]) R6 F Q if (age >= life-expectancy)
& }- h( |6 Q! B [ set-initial-turtle-vars-age ]! u4 f8 O6 U4 c" J6 d2 ?
if (wealth < 0) y/ s. O. L) y0 ^' I' m: n
[ set-initial-turtle-vars-wealth ]
2 z* g: V- C7 [1 r4 p, F7 Q
9 ?9 y' H% |) k8 L, bend
2 b' K. F* e# l; @' S
9 S7 L! M2 A/ Y- r) P* C$ I: S5 D& P
to setup-plots1 d. P- _$ Z4 b
set-current-plot "Class Plot"
! R; _& }$ E$ e) u- x [& S1 t set-plot-y-range 0 num-people
1 j; V |2 x5 n& l5 f; x1 i set-current-plot "Class Histogram"
6 Y8 ?* L* E1 I1 k# O- p, O set-plot-y-range 0 num-people
5 Q2 S: R' p" g) Y" J/ nend
2 y( H3 m3 ]6 B# F1 k
$ ^; j$ \( m4 e+ M4 Q& H! Uto update-plots
' [7 D! p1 B2 r update-class-plot
* Q, u+ ?" q) F! Y; w7 w update-class-histogram1 N: k v4 P: ^: t- Z2 d
update-lorenz-and-gini-plots
4 n* b4 W9 F* ~3 aend' \ y! H/ D" k$ z" |3 ^/ T. m
* B2 {# z* U7 u( F d% P* o3 _* ~
to update-class-plot3 y7 X: o- B% }+ G1 n* f
set-current-plot "Class Plot"& h9 u, N( x- z2 I" p( X& B b
set-current-plot-pen "low"
' T" [3 y5 ?6 C+ T. R plot count turtles with [color = red]4 G- ^* C5 n/ d* ~9 z
set-current-plot-pen "mid"
2 p. r- R/ |/ a" q plot count turtles with [color = yellow]
7 G. m* Q1 r1 [. K set-current-plot-pen "up"
9 ^3 S, w1 W/ p& g plot count turtles with [color = green]
- ?; `$ ^( I" F7 R5 [0 _1 }3 w- Send
7 K% j1 x) b# d1 `) x- E) _- d4 \0 T& f5 T8 o( H6 D% S
to update-class-histogram
% x5 I4 X n& H1 ~/ u set-current-plot "Class Histogram"
$ l0 E/ N) h0 j- h/ S plot-pen-reset p- A. r7 l; \. Y
set-plot-pen-color red
# Z/ D( E% k' W, f4 ]6 D, x plot count turtles with [color = red]
& s6 V8 e" g3 J3 \5 G( x/ ` set-plot-pen-color yellow/ k G$ P! w5 k8 z
plot count turtles with [color = yellow], u r) r/ \1 J5 l/ C
set-plot-pen-color green+ J# [6 |$ l# F) G+ n
plot count turtles with [color = green]
* o" y ~5 N1 w" h. }% J" \end: w3 Q6 [- m" j' g3 v$ k, f4 i
to update-lorenz-and-gini-plots2 @# |) s" Z! u2 Z$ a2 n" d' }+ L
set-current-plot "Lorenz Curve"
1 C: A; ^2 d O6 i3 e* Z clear-plot
B; A0 S. V8 O' @( p; ]% ~& y! t$ P% o i
set-current-plot-pen "equal"! u; N# }* h8 c* J6 y
plot 0
8 ^- J& @" `& {6 d9 n; i plot 100
" \4 F, ]" l/ e5 L. X" \7 z7 s& E8 y. \- A' s _# x, ?& l: \. [
set-current-plot-pen "lorenz"1 H0 C# l4 U& \
set-plot-pen-interval 100 / num-people) I, f0 l7 g/ E/ f- T
plot 0' [+ S% R5 V+ H" Y
) x' I1 |3 A0 m* @
let sorted-wealths sort [wealth] of turtles
. _7 D7 y, A' l let total-wealth sum sorted-wealths
; X' M) {2 w8 x' S& p let wealth-sum-so-far 0
N: T! y2 }4 u- d0 Y: ]" l let index 0( Y+ U: j2 x- L
let gini-index-reserve 0$ ~" l: N0 Q% X; T. }
; M" ~5 e8 \; W) R9 g
repeat num-people [
' Y* T2 |. L% ]8 h set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)* z% Y% B% a- n- d3 I" n
plot (wealth-sum-so-far / total-wealth) * 100
7 ?+ M7 F) w0 }7 W: Q& Q* ]: N" V& B set index (index + 1)5 ?4 I5 ^; {6 O2 U c& f2 F% v
set gini-index-reserve0 n0 K6 \0 t+ n4 a5 o; J0 s4 b. r
gini-index-reserve +
* d& q4 F2 q4 p' E (index / num-people) -
, c* Q2 s+ V, D/ }5 z& C* J (wealth-sum-so-far / total-wealth), @% X1 K- Q2 |1 Y: G: l: V
]
0 B9 p- u; h6 h
5 b1 x9 v3 q8 A- L. x% v5 _( x set-current-plot "Gini-Index v. Time"
( O" f6 _6 W7 B1 K plot (gini-index-reserve / num-people) / area-of-equality-triangle
& S2 f, \/ B6 q0 I. w, P1 ^end
: K4 w7 U0 P7 ~+ t4 Dto-report area-of-equality-triangle
7 R H: [/ J! p2 v. } report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
6 m# t# j2 N- c, V1 }( Jend |