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8 @8 r7 R7 m7 g2 r
globals
( ]' a' G% M8 [- d) H6 W8 x' _[
) j- o! S# \0 Q# s max-grain ' `8 |( F6 t6 L: U) B7 T
& W) S9 S! K0 L# s- Q, _]
) U% g4 ^: ]$ \: ]# Q3 T4 P) D" {/ d- u& {4 j
patches-own8 u) V9 J4 Q O' j: b2 o8 U$ t, k+ Z& p
[
?) G' d" m z9 T: j* I8 n grain-here . `: C- X+ |7 X0 Q0 @" y
max-grain-here
" w7 f* N& ^ h3 W. p1 T9 i$ V" g! ^]) U2 @9 L, \+ O
8 f! P# t: K- k# E9 fturtles-own" |2 n7 X2 { m! ]+ O* N
[1 m. y" X2 b) n# t4 A( D
age 1 i6 ^7 D1 q: c8 O0 K
wealth # N8 j- F8 h- F
life-expectancy
1 e0 ~" z+ l' j/ ^ metabolism ( u; I( `+ d( Q
vision
; R4 } L) a1 f, c; u8 L inherited ; {, U# G7 i# \4 c" }: {
]
O E. A; r" x l( Q7 D! D
{1 g+ X" N! d) l# A/ s
5 n& q# @0 L' P- M: bto setup
+ s/ r+ Y4 c8 Q ca
# @1 U. s9 B+ x3 ^0 P: G7 \# p* T6 b set max-grain 50( D& R( k) g! ~( A1 f3 Q
setup-patches/ F! ?: } r V, r1 F" D
setup-turtles
/ _7 |5 x6 f- c' U& I; p$ g" m setup-plots
4 C6 c. c' b; g; q/ ~ update-plots- |% v% U7 Q4 n6 D) I8 U
end9 Q7 E. r e. |8 ~" u) G1 }9 O
to setup-patches6 D/ ?# i r8 s3 t- Q6 l
ask patches* b( z) ~. z1 }% y" V
[ set max-grain-here 0$ H8 ^1 f, e. P$ p. J. W0 T/ I
if (random-float 100.0) <= percent-best-land0 y$ r( m5 Z' o. N$ u/ b3 R
[ set max-grain-here max-grain8 j% h1 n' u4 {! E$ t8 |4 W9 Q; H
set grain-here max-grain-here ] ]
; x# C. f% t3 R0 g' u repeat 5
9 i( ^# ~1 e* Q/ q6 _1 w6 T [ ask patches with [max-grain-here != 0]
1 q; ^* G9 H5 @7 V6 k% i: f% r* R$ b [ set grain-here max-grain-here ]
; | E F! m" k- x* |7 P8 e8 u# a" Z' z diffuse grain-here 0.5 ]& D2 K: l+ y9 u8 \/ Z4 @5 U' v4 j
repeat 10& X* r. c, E K" A9 w
[ diffuse grain-here 0.5] 4 Z: l8 d$ d& Q4 f8 x) E
ask patches/ b1 z1 B$ O& f: Q% p1 @
[ set grain-here floor grain-here 2 m! f9 r- E' i
set max-grain-here grain-here
% A" | S- a' ?9 k recolor-patch ]
' a9 {! U6 P' k& ?, T, M1 Uend) @" _2 E' K3 C7 G3 Z3 w
to recolor-patch
. p* f/ g6 q6 U: }+ s set pcolor scale-color sky grain-here 0 max-grain* I* {) Z- b7 n, c3 m
end
6 x$ f P- E' ^9 M. _5 Oto setup-turtles
- U2 Z6 x5 V6 a3 C+ V set-default-shape turtles "person"
; d- _/ F5 g' P# {( i crt num-people
* E: s4 f: X# ] t1 H5 {$ G [ move-to one-of patches ; J. O9 l7 l6 Z) [: _; N1 v1 D
set size 1.5 6 c- d. x; ~0 A/ e4 Z& g. X. D( y
set-initial-turtle-vars-age: d3 F" J4 Z& c; ]. P. |9 u. V7 \
set-initial-turtle-vars-wealth
' N+ f! f x. K% R% Q set age random life-expectancy ]
: @1 w1 A* d8 ]8 ~ recolor-turtles
* I8 x+ l1 X$ V- Jend
& l0 i% s3 O( r4 X9 v u4 I
* t/ @7 f1 d$ c: g# J8 ~; [+ G3 fto set-initial-turtle-vars-age9 x. {& H& E+ l. ^' \ j; Q
let max-wealth max [wealth] of turtles
- k& J* g! a i: V3 @1 q, S - g6 D. S, G% Y/ ?* i
ifelse (wealth <= max-wealth / 3)8 J* O8 ] m- A
[ set color red
S- e1 Z: M" |9 h8 q4 t set age 0
u. E9 i9 h8 h' [* Q face one-of neighbors4 % n6 U6 a5 y5 l
set life-expectancy life-expectancy-min +! R: ]4 K5 h* e) R/ h
random life-expectancy-max
) }. n' Z; h% |" a% i% P0 O set metabolism random 1 + metabolism-low6 v: d: D3 [, U
set wealth metabolism + random 30
) y# j# c8 q- R set vision 1 + random max-vision# E5 M1 [0 S2 C/ X d- R# e
set wealth wealth + Wealth-inherited-low ]" A5 ~& Y- e# u4 k. |
[ ifelse (wealth <= (max-wealth * 2 / 3))
: A! B2 I% ?% q& k- v/ U7 m9 \ [ set color yellow
7 b& h" S% F0 | set age 0: e( S/ ]3 J' [/ ~% ~( Y
face one-of neighbors4
- V9 p& b% Y) y' a; q+ b. X set life-expectancy life-expectancy-min +
: e+ m3 W% ~9 w random life-expectancy-max + 12 b6 A& }! e. T
set metabolism 1 + random metabolism-mid' ]7 F6 N* w: y6 H* S3 ]- k' I
set wealth metabolism + random 309 @. }, p# k: q$ R" u3 D
set vision 3 + random max-vision
3 u# ~" {) M9 C- X' I; f set wealth wealth + Wealth-inherited-mid] z( f# Q2 F. N. f
[ set color green 6 T- o% H8 ]: G
set age 0
! {$ e# d/ M0 e7 S B, t7 s face one-of neighbors4
4 `" _/ a0 @: I9 @8 \4 j" o& S set life-expectancy life-expectancy-min +
* ^9 H: `- f) E' z3 j" M random life-expectancy-max + 2
, O1 ^" k$ P* l( ] set metabolism 2 + random metabolism-up8 F" Y3 L; W. @# s
set wealth metabolism + random 30
1 ^% e4 \! U" W4 X set vision 3 + random max-vision
- u/ a" v4 F1 q set wealth wealth + Wealth-inherited-up ] ]
) i" n' J" Z5 x1 J q2 q8 t% c1 [ % v; w6 b& i; v4 p
end4 l- {) J. A0 Z8 o* q, _* G* m0 U! P
to set-initial-turtle-vars-wealth
8 o, `* C8 j( D" o3 ~- c4 o let max-wealth max [wealth] of turtles0 f" g$ o7 V* P( d I
set age 0
/ l2 A: D% `. o) ?3 T: L face one-of neighbors4
2 q( x7 q7 Y9 @0 S set life-expectancy life-expectancy-min +' n' w! R" x" f) j5 u
random life-expectancy-max
. I! M, y6 S8 S8 p set metabolism 1 + random metabolism-up& Z- J& G5 @- y9 K! j
set wealth metabolism + random 30* X) f3 R) s9 g, Z7 T& g" U7 k
set vision 1 + random max-vision 8 e9 `, c) d% ~! h( b
end
. D T- M+ C' B* Jto redistribution# n$ m a2 i6 b c& @
let max-wealth max [wealth] of turtles* C" r( c& |, R0 {+ u V3 j- x
let min-wealth min [wealth] of turtles% ~' D) U R- B2 o" e" k# _7 u0 U
if (wealth <= max-wealth / 3)
8 v0 `6 p* B) F& p* t [set wealth wealth + Low-income-protection ]
! F% q, D. N7 i. y6 a1 c+ C; }end
6 Z) b* v/ s& l, g* [
; f: Z. g! W R, Jto recolor-turtles. [3 r2 k1 f( q% X3 p
let max-wealth max [wealth] of turtles
2 U) M4 R! u6 q% v- s ask turtles% X9 Z/ j! I9 G: ?4 U! U. f, [4 e
[ ifelse (wealth <= max-wealth / 3)
$ ~/ H) c' B" o, y' B# L3 ` [ set color red ]$ Y! o5 ]( y. x: f& r
[ ifelse (wealth <= (max-wealth * 2 / 3))
9 q- {, D0 O9 z, V6 a [ set color yellow ]9 ~( j k0 ~# P% `9 N6 e' q$ \
[ set color green ] ] ]
5 d/ s" L$ W# ~: X8 r- q* A6 B' X ask turtles [ifelse show-wealth?- ?9 [4 b, i6 |6 T% o7 {1 ?
[ set label wealth ]
2 w1 T% ~$ B9 Q7 `* Q; J3 g [ set label "" ]], {. ~9 J. V$ O% ~
end; A% A+ b$ \7 A& }; [" h) Y. R T* x" Q
/ M& J$ A \+ H, ?7 a
to go
8 q' Z3 m, J: D5 h- A9 [ ask turtles/ k5 W& e7 e/ b1 s- v% q# E
[ turn-towards-grain ] + I% N4 D7 [$ F3 }" `
harvest
3 i3 _& K* d g: c ask turtles* k: C# h1 Z0 W- V- j
[ move-eat-age-die ]# O; |7 p0 `+ [, n: E, Y4 q
recolor-turtles
& Z( K; R" ~5 F if ticks mod grain-growth-interval = 0
. ~( ~2 g, H% l. e- I! `2 T$ O [ ask patches [ grow-grain ] ]
5 t( T$ q9 H5 e" D/ i$ U D 5 \% i8 L& D$ u3 A. E2 F
if ticks mod 11 = 0/ m3 _. ?' N' H8 f. E2 v
[ask turtles
6 |; }% ^4 z+ H7 _ [ redistribution ]]" T& n: w, M$ d; c1 B5 r
if ticks mod 5 = 0; ^: H* S; l( I6 D4 U
[ask turtles
7 V n1 y8 M( ~- A: v* {# S [ visions ]]' `/ ]; R7 f2 h2 K) r
tick
. @$ L4 L0 Z" h1 T! R5 A9 |4 ^ update-plots' S% W0 P/ K' a! R
end5 H1 \7 H2 l7 m* T$ H* y7 a- T
to visions8 d7 K0 c/ X! `" v$ u' ^5 E6 ]% H5 r
set vision vision + 1 * z2 R5 t# [( R+ X
end
8 m% K+ u$ h. @0 _* G" t8 w6 e! M g; r* Z1 F; g; q, ]
g0 {8 P) }# [1 p
) M, L: @ k! H# Oto turn-towards-grain 5 @ ~" P4 \) m: r j& ?1 U
set heading 0
?! W$ _' q8 L/ r' g let best-direction 0) F' @! c; L5 |
let best-amount grain-ahead
' n6 O/ U# D* E4 {3 P set heading 905 B" |4 T C* |+ U7 N8 o
if (grain-ahead > best-amount)2 b4 V0 O4 [+ I8 l! w0 z
[ set best-direction 90- W. c* q# ?* B; A
set best-amount grain-ahead ]
( z7 ~5 d' I" V% a$ N set heading 180
% l+ H; `$ J, R5 v, T+ t A if (grain-ahead > best-amount)2 s; _1 g( y4 n' N; d7 A
[ set best-direction 180% S+ o+ U# J; i
set best-amount grain-ahead ]
2 Y9 o- b' y9 g* @# V set heading 270" [4 V( d4 l0 T z. ^# M; M* n
if (grain-ahead > best-amount)
8 p4 w: A/ h% \" O! N [ set best-direction 270
. @' r8 p- h) h/ W2 V set best-amount grain-ahead ]& X/ N5 j& x2 ?' k1 {
set heading best-direction
$ W0 z0 ]6 d/ }, ^" ^- R4 W0 b3 Pend
" f/ w! p$ b9 N
|. |/ a0 N9 g. a
! Y- L# H& J- r3 U- pto-report grain-ahead
6 {+ A+ r. |5 Q2 d0 o let total 01 x( U0 c P9 b2 [& A
let how-far 18 |8 L6 [( H* ], H i' o+ v
repeat vision
" d, w) }, U0 Z7 B7 U9 N5 V5 m1 Y. E [ set total total + [grain-here] of patch-ahead how-far
) K0 e( {0 w% l2 x" C7 [ set how-far how-far + 1 ]
: Q* T7 g3 q( H- G& Y report total
* i4 N1 `* P! P$ r0 |end- ]3 r1 k' m/ |$ {+ X( g- D% f
4 i+ \& e2 n& S5 Q J
to grow-grain 8 Y2 s! C+ D( ?% ]
if (grain-here < max-grain-here)/ r: v, h2 ?/ _ I* j; ?7 Z+ q
[ set grain-here grain-here + num-grain-grown
% G# U; }) _; G3 i2 G if (grain-here > max-grain-here)
- i, _: u9 V7 V; l7 k* v [ set grain-here max-grain-here ]/ {" L) {- B3 y" ~! L/ v/ c
recolor-patch ]
+ B5 e; [4 v9 j' t! q7 t; P/ }end
( W" g0 h7 g) |7 E$ Z/ \to harvest) p, e! Z/ C5 d9 G; c1 n K
ask turtles
2 y& i4 s6 k( I9 P, ]" F [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]: a. e9 R, A1 e( u/ T# ?
ask turtles
% i! ]3 I, S$ }/ h6 l4 \9 a [ set grain-here 0
7 \9 f C1 w' n5 m! U! A" c recolor-patch ]
8 J b$ k4 D& O1 E- V
6 d( ?# ^* m9 |4 Q" e% Yend6 C& h7 \6 Z; @6 i, \% m
1 d1 U. g; l0 ]+ w+ C9 Yto move-eat-age-die
) z b9 ~9 O; ^& L) q# R3 T fd 1
2 j% y8 w4 G1 N( @ set wealth (wealth - metabolism); O& e* v0 Q# B: f! t4 T
set age (age + 1)
0 W7 [+ K2 \) ~& D a/ Q5 G, U if (age >= life-expectancy), u6 d/ t# U" v. q0 H
[ set-initial-turtle-vars-age ], g7 k9 S; f' b
if (wealth < 0)
: Z% l( {. n# F" _ [ set-initial-turtle-vars-wealth ]! f4 \/ x: Y0 C' h) s$ I3 d/ ~0 L( Z
+ x( q9 I3 ^. i3 }9 c4 w
end. \" Q* p- i" Q& Y- ^# l+ J' y! c3 `
9 n. h& m! w) w9 ?/ k; Y% _5 x% Y8 r0 t6 P. _! n3 W( v% T
to setup-plots: I5 v" A1 S M& @, c/ Z) |
set-current-plot "Class Plot"
& K. o9 \- o# S9 B) K set-plot-y-range 0 num-people/ m8 c0 |7 c4 a
set-current-plot "Class Histogram"
, X: v8 R% O2 a8 q' e* ~4 \ set-plot-y-range 0 num-people" C0 |% n& I. S0 P# K
end
7 W& G: }: a: s# y7 f
3 l, X( Z: R# [$ ]0 s+ z$ i( }to update-plots. n9 G; u m" O. Q5 C F
update-class-plot' j: l) d q$ B; g/ A6 j$ k; s
update-class-histogram
$ }% A$ Y1 Q, m! c update-lorenz-and-gini-plots
6 q4 o& j! B6 f- Rend
8 ?* t$ B/ ^: D& L# W& f
$ Z: V2 w6 y& J+ Qto update-class-plot) h6 J$ I: d4 c+ M6 z' ` K
set-current-plot "Class Plot"
2 ]5 {3 E2 J4 G, t% |( i8 R8 l set-current-plot-pen "low"* t0 m5 S/ i% k- p' l
plot count turtles with [color = red]
3 w6 T1 R" I) w1 ^1 ?0 I# Y8 I set-current-plot-pen "mid"
! G4 s! m' C" p. l( o# h- S: G$ c plot count turtles with [color = yellow]
; e2 C2 \/ I- M3 v* X- Q Y8 s set-current-plot-pen "up"
* G0 ]& \- y9 w. P$ l+ ? plot count turtles with [color = green]
: o1 p/ E" C, Eend' K% T4 P& S" v. E+ n+ d
8 d6 q* X- _. d5 q# M0 V
to update-class-histogram) {+ ?& F9 R: U2 i) _4 G: F
set-current-plot "Class Histogram"
Q# ?: t: Q6 m- S+ G) v5 o plot-pen-reset
8 j7 }* H! c$ O3 X; D1 d set-plot-pen-color red$ x E5 S: A- e- v! X) k9 _
plot count turtles with [color = red]7 q" t/ a5 P/ } s6 q0 p
set-plot-pen-color yellow1 D6 L. G% b, t8 _; ]
plot count turtles with [color = yellow]
4 g9 [4 A6 j% u% ]9 h7 E set-plot-pen-color green
, @( r0 Z( ~8 H* a9 W plot count turtles with [color = green]6 r- ~9 ^: G" q5 s6 ^% N
end
. ]9 Y: x5 g% ~2 ?4 @: Lto update-lorenz-and-gini-plots
9 I8 C- P( A o9 v# P set-current-plot "Lorenz Curve"
8 Y4 }# Y" G/ d! f8 H- Y clear-plot# ?8 o: L7 r% O( C4 `) _
8 [! P0 A6 z2 H# \ set-current-plot-pen "equal"
( E) O, n: z# }. b. o plot 0* F) Y1 M ?7 W( I, h2 ?
plot 100
* R, W- ~* S9 E6 z0 j w1 M; S/ i$ c5 a' q
set-current-plot-pen "lorenz"
) j4 m; E H/ f3 |4 X- b4 N' @ set-plot-pen-interval 100 / num-people# v2 ]1 p8 x5 b/ q7 s0 E
plot 00 {. {/ G C9 C1 ~# f9 H" ~
3 S, Z' ]& ^- m# s$ q4 j, k9 [ ~ let sorted-wealths sort [wealth] of turtles
! A* D7 o8 t4 D let total-wealth sum sorted-wealths* W: `# D& D+ F
let wealth-sum-so-far 0
% C" A. s% m: `0 |3 H9 V! D/ L let index 0$ I- M% A2 f/ N6 V4 v& T1 H+ b
let gini-index-reserve 0
- e& t0 Z2 y4 e- `" D- v# K. J
2 m% `; ?" P. l; D! L$ Z7 M7 A repeat num-people [5 \' _) l: Y) c% S# ~# ^: c
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
$ ]/ {+ j0 s( o! p plot (wealth-sum-so-far / total-wealth) * 100# A* c, m( A1 V. @, U5 ^
set index (index + 1)) `- t; ^% s T1 F2 ^6 A: g
set gini-index-reserve
1 O! i5 l7 C4 w( `# M# [' w: J gini-index-reserve +
0 W4 K1 m4 v, k: B; D. i( O (index / num-people) -' T2 W* J) Z+ Q, u( M
(wealth-sum-so-far / total-wealth)% |' m) _7 l+ R! O
]: |- @5 k: ], C2 V- K- u2 O( P. U
6 [6 y6 z3 x% Y( O+ t set-current-plot "Gini-Index v. Time"5 n. I4 y; ]. Y& |) ^
plot (gini-index-reserve / num-people) / area-of-equality-triangle
9 ?8 ~/ ?, x4 B+ H2 S0 b3 gend
* J) P' Q7 e( b+ Ato-report area-of-equality-triangle3 \6 a4 d0 F0 H, ?5 [( x
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)9 I+ F' L& n: W8 I+ t& R! u3 }$ i/ r
end |