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, Z C# ~0 v! k3 N1 d) L
globals
$ P1 U2 \; j: b8 t6 N4 l' H% W[
$ v3 n. u% t) n, s* ^# \ max-grain
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]
% `+ l$ F6 Z6 A4 H
* d& y3 `& B7 J* Spatches-own5 F- Y& b3 ^$ K6 j1 J. m9 y
[; K ?% e# }! \: ]9 N6 x
grain-here
" p$ D2 C/ e/ o! u' \ max-grain-here
j3 b& e* f4 C( g3 z" d" H. T+ Z7 I]; t- x' Z- H+ N0 O$ d
# U& Y7 S) L+ m/ k" jturtles-own
1 c' c. U0 x$ x/ h$ P) y M4 f- `[' m5 g. u/ P8 S5 Z
age
. r! U; O% S- _1 X, ?9 z8 a wealth
8 n# P s3 {# R- C/ C+ E; n life-expectancy
# _/ M% I+ c8 Z2 \% C: J+ ?/ N metabolism ) p# W+ V) J2 n" u$ `& h
vision
" H7 w. A- A: \4 c6 S# f% ^ inherited : J3 B9 R& K8 q5 Q
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1 a2 r/ P5 V: A6 c& m
" b7 Q; _$ F8 P- a% Ato setup
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set max-grain 50
0 m! z4 u- O' ~' n4 _4 n/ ^* [ setup-patches% \9 @0 @4 Q9 q' I! j# e
setup-turtles
0 W, F a8 F. S9 m/ r setup-plots$ Z( ^& W9 d0 p( ^" [+ c; \
update-plots m9 {" x# u/ _# G* M
end& ]0 r Q, `; o. j
to setup-patches2 x' y+ Y- [4 e/ k% i0 ?+ r
ask patches
, q- c7 e( ~2 V" | [ set max-grain-here 0! k1 w$ d5 C. v9 b2 K: i
if (random-float 100.0) <= percent-best-land' r! N; v1 h. v+ X: C: K. L) z
[ set max-grain-here max-grain
( d& ~) w7 }- l( h0 Z set grain-here max-grain-here ] ]
0 J' D6 I# s& L: c repeat 5
_% A) ?! i8 h5 c z& G [ ask patches with [max-grain-here != 0]
( v4 Q: z- G5 a v' J2 F' T [ set grain-here max-grain-here ]2 {, \( j$ g1 q& F
diffuse grain-here 0.5 ]8 v- n8 d! R7 h! Q
repeat 10
7 r+ p0 B5 h9 `6 D6 q5 l& j [ diffuse grain-here 0.5] . E; o! v2 y5 H* T
ask patches, l* m1 w7 C+ W$ M( C n
[ set grain-here floor grain-here : \" s" k5 u O
set max-grain-here grain-here 4 @1 o' Y# Y6 E3 @( [- |6 r
recolor-patch ]
$ P5 V: r6 l" b1 \# v! W+ ?" Rend
/ ]4 J% p2 v% C; z2 _to recolor-patch 1 ?' T: b& C, y; U" k8 Q
set pcolor scale-color sky grain-here 0 max-grain* R2 i! _* s' f; X2 g2 ]
end
& P4 w0 N, s4 c" |; Tto setup-turtles
$ Z$ _; I0 }) @5 C/ P; q set-default-shape turtles "person"
. \( ^, _: m6 { crt num-people
, L- ]3 {- F/ | [ move-to one-of patches 7 ? J; s9 B, ^
set size 1.5
3 d6 p" x# r: O4 x% g set-initial-turtle-vars-age0 M/ ?& l7 {4 Y0 i. [
set-initial-turtle-vars-wealth
) Y3 h2 _0 w4 g# U/ L( k7 w. n! U set age random life-expectancy ]
1 z" x1 ]& l3 z3 t: Z+ E recolor-turtles1 i0 j8 }6 G; {. y# x1 ^
end! _" r4 x; c$ {! o; d5 N
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to set-initial-turtle-vars-age& \) U4 `$ o* b. G
let max-wealth max [wealth] of turtles
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7 @4 t% x) h4 z5 _. Y, H5 E9 @ ifelse (wealth <= max-wealth / 3)
) J5 ^ u: A! @ [ set color red
7 S6 v( g1 v! R7 g) a( `8 g set age 0: c2 T( L" \: b2 J T$ w
face one-of neighbors4
' Q% Q0 a9 N' J4 ]& g set life-expectancy life-expectancy-min +; s5 V- L$ S8 {3 o8 [
random life-expectancy-max
- P2 m8 h6 T0 q" j" L set metabolism random 1 + metabolism-low
$ V. ~6 {& T$ V: Y( E2 S set wealth metabolism + random 30
. i' `& i: J* z% X set vision 1 + random max-vision: |' ^3 @5 A- q5 L" `* s; E- X1 C
set wealth wealth + Wealth-inherited-low ]
9 q9 j+ J" Z5 c4 n2 ]7 d [ ifelse (wealth <= (max-wealth * 2 / 3))
8 I3 r; F# K0 \$ x# ?( s [ set color yellow
# u4 p' M' ^8 } p set age 0
* r- q. J2 A; q, {- E0 H face one-of neighbors4
' P h8 T9 } I, H( Y/ f h set life-expectancy life-expectancy-min +! ?" M% g$ e; u- N0 @
random life-expectancy-max + 1
1 ^6 d& z$ t( N. b8 e9 d9 k set metabolism 1 + random metabolism-mid0 }' Y8 K7 Y$ v& R3 }
set wealth metabolism + random 308 v8 B F8 T; c: Z! f$ ?. y
set vision 3 + random max-vision+ u2 N, J2 @! d, Q1 @
set wealth wealth + Wealth-inherited-mid]
- t& Z! J$ ^# o2 e) G) F' V. b- i/ R [ set color green
/ }4 N7 X$ [* l8 E set age 0/ D1 A: S. @+ b' U& N O
face one-of neighbors4
+ G( X2 T$ a/ k% z# l set life-expectancy life-expectancy-min +
8 s; o/ G4 M8 P+ E5 x random life-expectancy-max + 2
o j2 V+ d1 L/ f set metabolism 2 + random metabolism-up/ x* S% D. U- E
set wealth metabolism + random 304 k$ ^ ~: l0 Y+ ?9 i) L
set vision 3 + random max-vision; X9 ^2 v/ q f5 W+ F, `* d/ [
set wealth wealth + Wealth-inherited-up ] ]
4 R5 @& \. Y: O% x$ |: @6 a; i! F8 e
% `5 u: n; D$ d$ {end
9 p7 O# ?+ C! E) r: g1 {. m' Sto set-initial-turtle-vars-wealth
) p( k0 x6 @2 A# M: v let max-wealth max [wealth] of turtles
v6 o& a$ X4 f2 s6 B' q: r set age 0
1 c$ E2 m. ~: M face one-of neighbors4
, _8 e. R3 j6 h' V$ _/ J" `' B& c set life-expectancy life-expectancy-min +
4 d& Q: b9 X1 X R8 L random life-expectancy-max 8 r% k e R1 `% v
set metabolism 1 + random metabolism-up5 ~* ] \3 B/ k5 c0 R
set wealth metabolism + random 30% S+ r3 y8 D2 t9 M* w: C
set vision 1 + random max-vision & f, h2 y E7 s, I B8 X
end3 _. J8 ]5 s# n( L
to redistribution4 b" Q* Z# t3 F2 G% P/ O, o4 _
let max-wealth max [wealth] of turtles
0 A; _7 x1 F* q0 {: w7 ]8 Olet min-wealth min [wealth] of turtles- _$ G5 N$ N: x
if (wealth <= max-wealth / 3): ~2 p9 l% A; H- H
[set wealth wealth + Low-income-protection ]3 h& ^3 n7 p: w/ n* D( @
end
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to recolor-turtles% o" E9 ?7 ]8 F0 c
let max-wealth max [wealth] of turtles
3 P6 }' J8 |6 s- x; k ask turtles5 m K$ i" A# H2 E+ ?: m5 ~* m
[ ifelse (wealth <= max-wealth / 3)
& R1 i% c) {, o, O( p0 |1 f [ set color red ]
+ E/ ~+ R- f( x5 F+ K% d! Z [ ifelse (wealth <= (max-wealth * 2 / 3))
4 C% U1 @# S( P$ Z0 c; h2 {- G7 T [ set color yellow ]
8 L a% g: p6 f$ w, m [ set color green ] ] ]8 `8 Z$ c3 [& ~% W1 f3 a+ G
ask turtles [ifelse show-wealth?, X# b3 e, \+ r. F6 R* N
[ set label wealth ]
" ^5 ]& I) G6 w5 t& C' T9 ] [ set label "" ]]' B. e) C$ [1 c$ y7 h
end
4 t% k( F. E+ ], S
9 y3 P) H5 s2 q, xto go
2 O1 j" s5 B0 Q ask turtles8 \$ W9 Q ~( D2 E2 U m2 p1 n
[ turn-towards-grain ]
+ V; Q5 j& E7 ]( ~) i harvest
1 B( O. o; ]4 g0 S( ^" }4 z ask turtles8 |( x; `0 b j& F
[ move-eat-age-die ]
6 {0 s7 R) G3 [, i& E0 W recolor-turtles- G, {: S, t7 t2 b: q Z; J" T; J
if ticks mod grain-growth-interval = 0
6 ^, H; R. b' D" i [ ask patches [ grow-grain ] ]
" O1 e# A/ a8 a1 n6 h- S/ m
3 Q1 Z" ?+ B7 m5 L8 D if ticks mod 11 = 02 J/ W9 A2 Y, u- l
[ask turtles
; l! v: Z% K: O' h5 ` [ redistribution ]]
0 z/ I5 e$ p1 h1 [; j if ticks mod 5 = 0
/ @- g; O1 y0 f: V( ]/ u" X5 o [ask turtles
( h6 @1 k f# w# S' x) L# K8 p w [ visions ]]
! m" s0 _. T3 \$ \( w |8 R tick
* Z) K8 [5 a4 N update-plots
3 O1 m$ U _% R% J+ F% {3 Aend2 f0 c7 \% o# U3 X( B
to visions7 i$ J# G3 c# Q' `
set vision vision + 1
6 |$ L& Q) {0 u# d7 N& {) ?end
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" q) @$ p4 p/ {& Q5 A# K: e
& G: p# L" a) _3 J" b
6 s) s- e# K6 j9 [9 O# v jto turn-towards-grain
: v1 z9 n& h) p( T' t0 M# W+ w set heading 0
, N' k) _2 T5 O3 Z% B let best-direction 0
" E2 w& h; q. W; N- ]* y( r. X let best-amount grain-ahead
# A3 a3 }8 A: ?( X9 Y1 |# ~& \ set heading 90
5 a+ e8 n; n( [7 T7 l, V if (grain-ahead > best-amount) ^' X5 g l! G# i1 K" M
[ set best-direction 90. X9 d! ^# A; O
set best-amount grain-ahead ]( }, S4 d- [; T
set heading 180* v% P" G* X; k! G3 j/ A0 g. V
if (grain-ahead > best-amount)
2 `* } j$ Q" ^4 p( l3 | [ set best-direction 1805 k# g7 {) h. d5 D
set best-amount grain-ahead ]' M- Y, E; }/ a/ L4 z
set heading 270; w% p/ [! _+ i% K7 a* y
if (grain-ahead > best-amount)4 X3 ?7 V4 L* z
[ set best-direction 270/ A4 I+ i7 t( j7 f+ o6 P0 S, C0 w$ M
set best-amount grain-ahead ]
, n: {% }( \( D% q" h set heading best-direction W, x8 h5 l9 \- h% c, x
end/ h4 y" m) o/ M9 W
7 M5 {2 D5 c. f9 [
/ E: [: `2 M( E; a$ u) z- M$ Vto-report grain-ahead 6 f. [) w. c: g8 F8 T
let total 09 I5 F% b1 t0 C
let how-far 1
- y, B4 X8 N* v7 e3 i0 w repeat vision1 P: z* K2 U9 [' X! x
[ set total total + [grain-here] of patch-ahead how-far
$ ?+ s: |" u+ X& ~: |9 [# c set how-far how-far + 1 ]
9 E' d& v& m8 V, N5 b/ z6 X report total
' |+ U! q9 L# G& Wend0 n! ^2 _% p, x4 g9 \! U
5 J9 K8 k4 K$ U0 ?- L7 q' z/ b7 y
to grow-grain + ]) X \( ?& |
if (grain-here < max-grain-here)+ W# z0 ?" ?2 a& {: D# O
[ set grain-here grain-here + num-grain-grown
6 D O. U1 {0 E% \9 d& Q* G0 D [2 o if (grain-here > max-grain-here) ' Q( Q$ k. u( X2 y" v9 d# O |
[ set grain-here max-grain-here ]
1 p) r o* O5 X; c8 B) N% w recolor-patch ]
1 C, i, T5 l5 send
, @, H( F& h) H) {to harvest
2 [2 y; ~9 ]7 @ ~ ask turtles5 c9 N/ J2 w4 K& e& r$ }3 M7 i- o6 C
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]9 M, y4 {9 B5 _! s; g2 N& `
ask turtles9 J; ~: I) r8 `# K: i- R
[ set grain-here 0$ T+ j* z9 m* \/ c& b# v! E+ d) E* d8 @$ k
recolor-patch ]2 N& `7 o7 y$ o* N4 H
; e0 r' ~# K/ j
end9 w* y4 z' ]7 v# }" Y, q
) h7 Z) C" L( d$ i) j; Y
to move-eat-age-die
# s" F% T, {7 W1 k( v fd 1
/ w, \6 x/ I6 t# N set wealth (wealth - metabolism)
8 m: w5 X) Y3 c+ b. O" v" C' R set age (age + 1)2 I. V, F8 D/ a" e, y
if (age >= life-expectancy)
: {5 C% t* z' F. Q9 m- F [ set-initial-turtle-vars-age ]1 \1 E2 Q7 Q6 z- s5 n
if (wealth < 0)( D e: e& B7 g) O: c' ^2 U+ W
[ set-initial-turtle-vars-wealth ]
9 y$ m! |; i4 w4 X# x/ H
! N# S4 v! U( @- B. a4 X; |$ [end
1 Q6 T; Y* H$ V$ J! e& c6 l/ V
5 r2 m" e7 q$ O9 t
* [4 @& k6 |) c5 rto setup-plots/ ?: l3 F8 t. n8 ~* f2 j( V1 v2 h
set-current-plot "Class Plot"
/ p/ K) Z5 b" g% X set-plot-y-range 0 num-people
8 g0 R! y, h: x& P, y- }/ U set-current-plot "Class Histogram"
( w7 ~& t' d* F2 L2 @0 m; l set-plot-y-range 0 num-people
& C# c5 w; B3 N, T/ {) n0 Pend
; F& D: V8 c8 R3 I5 J0 K5 ]9 i9 D9 y. S8 H, v5 c+ R
to update-plots
% P- Q% U U+ R update-class-plot
/ h/ [/ f/ g3 S0 t5 Y, r6 _ update-class-histogram5 t" g, {' @ D; d9 M4 v/ V7 {
update-lorenz-and-gini-plots
3 V: y \+ b( J& G% m0 G8 Nend
: S. b9 \) A! |7 H# q2 m# Z
/ Y3 s1 y$ |! Q# \- p! q# K# ito update-class-plot0 Q# ~4 s$ R: D& u
set-current-plot "Class Plot"
+ `! _5 F; b+ K5 ?, P! M set-current-plot-pen "low"
4 a2 n7 \* j) t9 J% a' N) d: v plot count turtles with [color = red]
% Y( t; e" _( u" g& o A2 } set-current-plot-pen "mid"
' K L; p% H' W, n3 }6 a plot count turtles with [color = yellow]
* X+ Y6 R I7 u# Z set-current-plot-pen "up"' m x7 q3 D! `
plot count turtles with [color = green]
7 p: @ H3 p; r" C5 u$ `end- Q4 D6 n) L- g" r
" H% z0 l# @ v% ]( P9 Y
to update-class-histogram2 Z6 v, Z5 Z) a! `, H( {
set-current-plot "Class Histogram"# p4 O k0 q- ]# e
plot-pen-reset
D: N" ?) P. ^! Z4 j' l set-plot-pen-color red
% ^3 a/ w9 t; V, j0 w3 M' L plot count turtles with [color = red]$ I2 r5 k/ x" Z- |3 ?
set-plot-pen-color yellow
4 H! |7 D, M, P" q* m; l2 V, d9 g) l plot count turtles with [color = yellow]
0 n, u3 U; q9 u9 R9 r- e7 H U" b set-plot-pen-color green) |2 f3 a1 ]5 C
plot count turtles with [color = green]. o* _+ D' @4 H/ R( ^
end3 z6 h# K+ p. [
to update-lorenz-and-gini-plots
) ^2 T; u" h6 W$ \& K set-current-plot "Lorenz Curve"/ z2 o) e* ] O
clear-plot
. r9 T$ i" D0 U8 c K
2 W' I: l( k, {' o3 M0 ~/ d, U set-current-plot-pen "equal"0 I/ C! H) G/ m; f
plot 0
1 n5 b# K; K! o" t5 K plot 100' a {" ?$ m4 p8 w2 ?) y4 p T) l. Q
! c' L3 w$ G: N+ y' ~3 q4 ] set-current-plot-pen "lorenz"
$ m9 y* [: y% m2 p" | set-plot-pen-interval 100 / num-people
" x6 ~/ W: H' E6 R. x" | plot 0. {/ c0 L- @7 q- d
* h- C7 y9 P' G( c. u2 R7 @; X4 f8 C let sorted-wealths sort [wealth] of turtles+ _% l; K9 Q# q
let total-wealth sum sorted-wealths* Z5 F" l! R0 ^& \6 y$ K
let wealth-sum-so-far 0
1 P3 e& b0 q! v) F6 Q6 K let index 05 ^8 [( ? Z& n( {) }& _7 I; h$ d
let gini-index-reserve 0* i5 W' n1 O* s6 K/ k @
4 V9 Z1 z# x" t3 f E9 W; X
repeat num-people [
9 a% v. v: Z+ b1 K5 S2 u8 d( t set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)0 a: j$ @& ^' U" u# m! `4 ^9 ^
plot (wealth-sum-so-far / total-wealth) * 100& ]9 \4 w8 Q! F) D8 Z7 R
set index (index + 1)3 ]$ v3 ^2 R l
set gini-index-reserve
. i5 ` F4 ]3 p* I2 a gini-index-reserve +
1 M; L3 ]. \$ M+ W5 G2 p6 l& s; L (index / num-people) -
# u0 g6 d( l3 T+ U1 [3 v B (wealth-sum-so-far / total-wealth)
4 J5 _6 f. Q6 r9 F3 o! e) o ]
" E4 O1 g0 D+ h. @/ Y z* Z+ i# ~5 O- U
set-current-plot "Gini-Index v. Time"
2 _0 n1 S4 {8 h" ^ V" s plot (gini-index-reserve / num-people) / area-of-equality-triangle
, |0 e+ z: M/ ]; E+ [+ hend
8 H# |* U) Y# A8 F5 w; L% k7 q Zto-report area-of-equality-triangle
& m# e7 z7 V, V1 \" W4 J report (num-people * (num-people - 1) / 2) / (num-people ^ 2)) p3 w, l5 l; ]) i. j4 r
end |