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' ^, p; ^3 Q% Q# b( O$ X& M% A8 B
globals
3 V3 Q1 [3 B9 i% p[) r& n- m9 H, s! _
max-grain 2 f' D- G, h7 u) C
N! W, T! L" e8 `9 G]
% e. L& @! o4 s+ O
, j" s" b) \) O- d7 j/ `patches-own6 P2 Y/ X6 b0 G8 j" e5 S. Y
[
+ J4 Z' s) X1 l grain-here 2 }$ N5 W/ e! }0 u H* L
max-grain-here
7 Y( }7 O$ ?% Z; a! {# S4 c]" ^4 F7 C2 k- K
% ~ E2 ]- `' z [turtles-own
# } U% a9 f F* d[6 c& k; }" ^ i+ S, G
age
: _: }! u8 I2 E0 P u: p; z wealth : c: D1 f4 O) W x! H
life-expectancy 9 v+ j: S8 `2 b6 m% n
metabolism n0 V% y" p( \% i: ]
vision
/ T# \) P" P0 d- H* {& B: O inherited
4 z* [! A- N7 C! g% P]
! I J9 V2 w, i8 E' @' k1 y" T) D" y7 ?. W& W
8 w1 d( l& k# N/ a8 p5 xto setup# f/ d2 J* n7 }3 ^* c
ca( d9 O' N4 L. ^4 O0 j$ d: b
set max-grain 50
/ u: k E1 y* \ o/ D$ f setup-patches
6 F a, b% r/ c( ^. V setup-turtles& q, U' G; B: \0 T. w3 m
setup-plots
6 K3 H3 X) q8 g7 y! w: N/ W3 M' ~ update-plots0 o9 p) }( I8 @! l( ]
end
6 v2 O, `7 r) q. {- x4 p Eto setup-patches
0 ?6 H( ]' M( N( Y& S$ f2 B/ A ask patches
4 Y3 Y8 R; K x/ p [ set max-grain-here 0 M1 R, r2 t& e. x+ e. I" Q
if (random-float 100.0) <= percent-best-land
, P; R2 W4 w8 H/ {- W [ set max-grain-here max-grain
4 S9 `' N! Y0 `' p" `$ r+ x set grain-here max-grain-here ] ]5 p* v% {2 y5 Z$ m
repeat 57 z) [" P5 `* B2 O5 Z' m! m
[ ask patches with [max-grain-here != 0]6 y: k; i7 X! _& i4 F5 ^. A% |6 W
[ set grain-here max-grain-here ]8 O% R/ Q4 s) }5 T. J# X
diffuse grain-here 0.5 ]3 I1 \ a2 }6 C, I
repeat 10
4 r D5 ]3 V( e [ diffuse grain-here 0.5] : D, L- \" j l; H8 L6 O0 [
ask patches; J$ ^+ Q( ?; V) O% X/ ]+ C+ v
[ set grain-here floor grain-here - Z4 \: q( r- R3 p% I. x' W
set max-grain-here grain-here 9 u/ b# \- K1 b2 R* ~) ]- _
recolor-patch ]/ M4 G: `" V, |" I
end- Y$ F. w) X& R, H, f/ C
to recolor-patch ' m* S' n, O! L7 H4 p! z/ B
set pcolor scale-color sky grain-here 0 max-grain
5 g8 o# R [ o% d8 ]( q! Fend7 ^* e* h8 k6 k1 b7 `
to setup-turtles4 y/ Y7 t5 W/ z& }
set-default-shape turtles "person"1 d: w. F1 p" }- [' o
crt num-people6 v& m) {* }% y0 Q3 H+ l* Q& y
[ move-to one-of patches / g0 r/ W6 ?/ R" g
set size 1.5
( L! w; r$ w. B" M, l: H) A set-initial-turtle-vars-age
1 R2 @$ [6 ~; h% q$ h( ?; a& ?$ G set-initial-turtle-vars-wealth0 b6 m' P1 V! D7 @( \; r% I @
set age random life-expectancy ]
) t! R+ f/ k5 u# {. l recolor-turtles
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3 o% }, y3 [3 _8 a" S6 r% ^
to set-initial-turtle-vars-age
0 @( `1 e4 P% e let max-wealth max [wealth] of turtles0 W- W8 j9 \! D9 O
3 c# @+ m9 K- ?2 y& o& P2 E5 z ifelse (wealth <= max-wealth / 3)
3 V. H* }7 T" F4 q [ set color red
6 S. v2 W2 G0 `9 }& G set age 0! {; d' B0 l$ V, [) g
face one-of neighbors4 & x) u- Z5 W. J) B
set life-expectancy life-expectancy-min +1 }) ], o5 P2 [! T2 R3 H
random life-expectancy-max
) f: _+ L/ G% |7 M5 i4 Y set metabolism random 1 + metabolism-low
- O ~) b) b6 g; i+ n( r* } set wealth metabolism + random 30
7 ], f7 @! m6 O set vision 1 + random max-vision7 U/ A9 p* X% h4 b) L4 W/ P
set wealth wealth + Wealth-inherited-low ]% H# t* a: _" {8 s) r0 r0 ~
[ ifelse (wealth <= (max-wealth * 2 / 3))
4 K% v- Q, C1 M& d [ set color yellow
. r' k0 z2 J g+ l1 E* e' G set age 0; @0 k1 S7 s0 y5 T: x! Q
face one-of neighbors4 $ Y; z- k& Y2 J4 @( c- A, L3 O
set life-expectancy life-expectancy-min +
# p# b5 [# y6 u; z( o- o6 p7 _ random life-expectancy-max + 1
" y8 h- g! g W. g set metabolism 1 + random metabolism-mid
: d% c: Q) x W( P set wealth metabolism + random 30, T! |, C: `3 w( T" C: E* D! l
set vision 3 + random max-vision
: g% I8 p- E6 `# R2 \0 o- f9 ^8 W set wealth wealth + Wealth-inherited-mid]+ m( f( L* |/ |% n$ X4 Y
[ set color green
0 i3 |! [; I: m set age 0
, B, m9 Q% P8 t face one-of neighbors4
+ i' \4 ^4 c+ b, y6 Q set life-expectancy life-expectancy-min +
* F: V) ?$ W1 }; A random life-expectancy-max + 2# ]# a- g" g+ c, s! p
set metabolism 2 + random metabolism-up
]5 f+ ]" @; `, Q. B* [5 R# K set wealth metabolism + random 30) p3 S+ g( S5 M! T" u9 O
set vision 3 + random max-vision! J- h* n- z) c2 ]! l, }1 p+ U
set wealth wealth + Wealth-inherited-up ] ]
- r3 A- i$ c- U$ `4 X3 d; e2 B3 i # z% g% C( B5 i i: w
end
- g' x; T4 F0 _: Xto set-initial-turtle-vars-wealth! A6 R6 t2 J+ H9 A9 f) G* g7 S
let max-wealth max [wealth] of turtles1 |5 N9 b. `& P* I
set age 0
8 X2 t& ^ S, A- ~* {' N/ l face one-of neighbors4 ! Y) c6 ~ F9 g X7 I+ B
set life-expectancy life-expectancy-min +
& C# ^6 ]# b# n, ?( e random life-expectancy-max & ]7 H2 ]' d) E; G
set metabolism 1 + random metabolism-up
" p, U- c: u2 N7 T3 i set wealth metabolism + random 30* x5 M4 V5 u# [1 F& ]( D% a
set vision 1 + random max-vision
, X2 F, W, ~2 oend
& N/ S! }- y C, }+ T Rto redistribution4 n& g5 L* W7 b: Z- Y
let max-wealth max [wealth] of turtles% m; ^# _% h7 `- j- d2 U8 z! u
let min-wealth min [wealth] of turtles0 {( _+ o# {( P4 D% p) G
if (wealth <= max-wealth / 3)
: y9 Q. Z+ n( y) D [set wealth wealth + Low-income-protection ]
# g" G! ^6 f. k- z0 kend; m/ T0 E% X7 z* _+ D( T; Y9 I+ ^
6 U9 ^3 V* z* {% Eto recolor-turtles4 Q9 \1 ~/ @3 ]8 E2 z
let max-wealth max [wealth] of turtles
) l7 ~! \8 [6 R ask turtles
W) g: F1 t8 c q) \4 G" C+ n [ ifelse (wealth <= max-wealth / 3)
% T- V, y* J( }( K. _% t) {9 N [ set color red ]/ H: t( ~; X5 @( G: V) m: g6 y% ^' ?
[ ifelse (wealth <= (max-wealth * 2 / 3))
: f; M$ E5 d E- S1 ` S) M& K [ set color yellow ]
+ X& V0 g" m+ E! B: d4 X9 l* h [ set color green ] ] ]
6 G0 g5 ^- T0 J1 c ask turtles [ifelse show-wealth?6 G+ m/ }3 |! ~4 s
[ set label wealth ]
9 m8 M. n! p2 H' y [ set label "" ]]& u. ?; \2 O6 X% b0 b# Q6 v
end
1 X, C$ Y) S% d4 r A" R! e5 f+ d1 x9 J. L
to go
$ V' a( M6 X5 a) n0 A" E% H ask turtles
) z0 v% K$ {1 j: V; T& H3 W" a [ turn-towards-grain ] 3 e0 w- e {* W& k, n' i
harvest0 Z0 o# i* _2 Y, V6 m8 M7 @& k# O+ m
ask turtles! `0 s. s* y0 }" N
[ move-eat-age-die ]
1 F7 y5 f' T6 h5 {" g- @5 { recolor-turtles( M6 n t, d: I& j5 |
if ticks mod grain-growth-interval = 0
3 w8 k: Z7 }5 \" `/ N- U4 b& Q& q& s [ ask patches [ grow-grain ] ]6 ]' U4 |; Z' g! q& ]# [; c
: s" ?2 C: [- ?9 k& ^* z if ticks mod 11 = 0
# d6 S8 V) _! q0 B0 [2 Q7 ` [ask turtles& W$ R. S' j! D- m( V. Q. ~
[ redistribution ]]
/ `, F/ }* {# `0 ` if ticks mod 5 = 0& }) m& z/ @. c& k# E, l) b& q* Z
[ask turtles# H8 D) l% o8 ^- H7 r
[ visions ]]6 c1 t- H- A3 |8 ]1 B
tick
8 c+ `- X5 m: T( U" T Y' B8 |, j update-plots- \2 R0 d9 q# u
end; H8 {; J9 L0 M3 x' h2 ?9 v
to visions) a- s1 y" ^( B& J( J5 w
set vision vision + 1
. [: I9 Y7 ^. b* q2 c; k- l. S7 V0 \0 Hend4 K+ N! B' M% ]
5 i& A# m$ k# S+ I0 h0 A+ r1 f5 J Q w2 c
9 O0 p0 a9 I" J+ Z% z# n# |% i: pto turn-towards-grain
( W( z0 j$ u2 k) @+ O& Q3 j set heading 0
1 g, |$ S! ?) o! o7 e2 n3 f let best-direction 0
" Q/ b8 w0 X$ y- }* T& S; q let best-amount grain-ahead# Q5 p& j5 D) H
set heading 90: ?: L1 b0 v& {/ C( C$ K
if (grain-ahead > best-amount)
& D, h6 S# V* G3 ^3 T" N0 c& L% V [ set best-direction 901 s3 ], u" Y$ d- K) g1 u- i
set best-amount grain-ahead ]
1 h& e# Z$ k2 Y( [: o: z set heading 1804 A" J/ [: l: ^
if (grain-ahead > best-amount)+ p2 r; i4 b" U' D( f1 _
[ set best-direction 180
2 F7 M0 m) B5 ^/ M h set best-amount grain-ahead ]
" m2 J$ \3 @/ v2 {: ^; z set heading 270
, o8 }( m! G4 c# J/ ` if (grain-ahead > best-amount)
% _( w7 J" J3 t# J [ set best-direction 270
" s4 z! ~. m. q5 k& d! o: g; ` set best-amount grain-ahead ]
+ c3 i* W$ d% c- h# n/ n6 \4 [' f set heading best-direction
4 G2 X% ^" O7 \* b& X( send' d0 _3 N; {+ D. z& c" O1 x/ U
9 ?5 n& @) n" @) |; d: C# O/ @5 o3 f. F) s$ B. A* T
to-report grain-ahead
$ Z4 f! I/ q. e } let total 0
0 h+ @7 { P3 t) S' _ let how-far 1
* i3 I6 `8 I& V1 D; P3 L: x repeat vision
. B4 I4 ^( Z) }" \ [ set total total + [grain-here] of patch-ahead how-far
+ |! a, f) w* D6 X# j set how-far how-far + 1 ]
# ~ y7 I* a* W# p2 J4 T report total
/ P1 P. T4 \4 X) N. U0 Wend% W u/ n+ o5 p0 c, x& W% Q
* ?$ J2 ^5 ^/ Pto grow-grain
- ~! ?3 [$ i1 ]- T0 ~; o if (grain-here < max-grain-here)) @- c; }$ Y6 N7 Z- J
[ set grain-here grain-here + num-grain-grown4 ^* X! m0 d# U# C; _
if (grain-here > max-grain-here)
0 |, h2 y: l5 r. _ [ set grain-here max-grain-here ]* R8 L* o5 y2 C4 s- q
recolor-patch ]& b# y# J8 }9 t u9 z' |
end
' R! q$ n: s! l2 hto harvest
7 J) w) u8 M* Q" u0 v+ L1 U ask turtles5 O9 j# A9 T4 S8 ~. }
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
k/ @+ s( d8 v$ ~7 Z0 p: M1 c ask turtles
9 s3 ~; m! m: ?+ f0 I [ set grain-here 07 a# G) x4 }) F) ?+ W
recolor-patch ]2 u( f2 q0 P4 e* Y' r/ c* `
/ J A# Q: Y+ |* y/ S1 wend" z0 O) Z8 j# `5 d! G8 e
8 A, U4 l5 c* Z$ j7 y
to move-eat-age-die
7 U5 x& H# z/ a fd 14 N% M9 n% f: y* C# ^
set wealth (wealth - metabolism)
, [0 ]$ f* A7 h: e set age (age + 1)
9 |: j$ _+ D1 _, b% T" e8 R if (age >= life-expectancy)
! C6 W4 c& ^: Q+ b [ set-initial-turtle-vars-age ]
8 Y) U- t; |( ~( K" Z if (wealth < 0)
; \. m9 C+ T$ N' I [ set-initial-turtle-vars-wealth ]
5 _9 b1 _( `2 { 2 P g% O1 x. [1 Y5 B$ S8 E' t
end
4 U; h/ K8 ^, L0 B$ ?* _7 t" d( N1 E. z: a+ }' t& j' O
5 f4 \5 z8 p X) j% yto setup-plots X% \: }; ~" D+ P9 k; T
set-current-plot "Class Plot"' `2 l& {7 @; D5 d7 w! H
set-plot-y-range 0 num-people$ f8 Y% g3 }, }9 `
set-current-plot "Class Histogram". a8 u4 C2 @8 s+ p/ E; G1 {! N& A
set-plot-y-range 0 num-people
, V( {2 k* P. G% |% j& a9 N( _3 Dend
6 l: K2 e. Q) R: q6 z8 F+ S- k3 y+ W2 T8 k1 @8 b9 N; b* }7 m
to update-plots" t9 l8 t( n- f* m* N1 d- D
update-class-plot
1 t7 x: [( m) V! ~2 v update-class-histogram
8 b+ M0 `4 D. b7 a# M7 n% n update-lorenz-and-gini-plots. `8 z3 ?' n) O- g/ ~$ `/ L. B
end
5 Y. {; t% X' u) P. U: J3 ]& K6 m9 i
. p0 i4 V+ m: Q, a' v1 P8 ]to update-class-plot0 s9 g6 y9 `9 A! y; l
set-current-plot "Class Plot"
4 z. V7 X# f& Z g9 P set-current-plot-pen "low"" q8 p i2 I0 A9 w- e6 l
plot count turtles with [color = red]
p5 O. x1 q; d2 q' X% q set-current-plot-pen "mid"8 @7 g% u) n/ E2 z
plot count turtles with [color = yellow]
% w. i: t. y4 v2 E" H# f set-current-plot-pen "up"
p5 v U, ^0 D. f: W! ?$ q+ h plot count turtles with [color = green]. K. @- H4 y3 ]3 v
end8 Y" d* \7 `* P+ _8 w9 k
0 o1 }0 m( f7 ]to update-class-histogram
$ q Q9 X( n5 [; V2 w* m7 x set-current-plot "Class Histogram"7 P \6 E6 |' [9 V1 B b
plot-pen-reset% l6 x6 E" ?) C+ `8 J; K0 A& \
set-plot-pen-color red
8 A1 v; A) A! \! f$ b$ S plot count turtles with [color = red]# |$ L7 w9 j5 B0 S
set-plot-pen-color yellow2 Y9 b2 W+ X2 z7 S4 j
plot count turtles with [color = yellow]
2 t, ?" N% @: {" ^: n8 a0 V, o. \ set-plot-pen-color green
* x; m# A3 b% Z7 r! G plot count turtles with [color = green]+ n4 z( }/ `+ X' m+ z
end
B7 x1 L1 B4 `to update-lorenz-and-gini-plots: ^! a2 `( G& W$ R
set-current-plot "Lorenz Curve"
t! _% k; d7 a% _7 ? clear-plot
[$ w$ F3 I! n/ E+ s8 P# O! A, Z$ ^& R( g- S: W6 E- ^
set-current-plot-pen "equal"9 F8 _& t$ X: Q$ f8 G
plot 0
! `) T5 Q5 l$ K- ` plot 100# n! }3 T! C" ]
5 n, r" C& }7 ^& g& y5 `
set-current-plot-pen "lorenz"
4 O6 R6 R0 W8 V) G9 N+ }0 y set-plot-pen-interval 100 / num-people8 Q. o. s V) C6 J
plot 0
3 `+ t, U' }3 ]; ~6 `
4 x$ } A. H9 L5 e" G; l. q let sorted-wealths sort [wealth] of turtles
+ i, k" [- z, ~! F6 }- }* f let total-wealth sum sorted-wealths7 J! z9 I" L6 y& ]
let wealth-sum-so-far 0
5 C. X' C) v" D let index 0
$ a6 k5 l$ ~0 v5 R9 P! t let gini-index-reserve 0' o ]8 f( {" V2 a* ]; U
3 {0 s; M! f' _4 Y0 U0 m
repeat num-people [! f+ \' b- ^) J1 z" }
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)" r/ s" P1 @" y, i/ V9 N
plot (wealth-sum-so-far / total-wealth) * 100
0 G( ]- h6 } {, a set index (index + 1)
: T9 z. i- e! a! {0 H' a set gini-index-reserve. |/ u# c9 T2 s- O- R8 \
gini-index-reserve +% ?" n7 N% c; y: z
(index / num-people) -3 Q% H `9 j1 H3 `. H. a% J
(wealth-sum-so-far / total-wealth)+ n/ ]0 O. ~9 ]" F- f' ]
]
( |+ G" k6 V4 v& a Z0 d! C# h9 j7 Y- L4 X( `- I4 o' b
set-current-plot "Gini-Index v. Time"- ~' E2 x1 ^7 V" Z
plot (gini-index-reserve / num-people) / area-of-equality-triangle
/ V6 e4 g6 @& N' @end
* E0 a6 B. j+ o5 f6 s7 ^to-report area-of-equality-triangle
, S+ L5 A& C* A; t6 g. j report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
( L+ B# U, x( I: X1 Rend |