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
4 Y8 q/ O: w) K$ Jglobals ]# c. M& B) G" |
[3 F& I2 h- P( a2 g9 j
max-grain
4 l' i, N; ?4 q# s4 ~$ w# q
5 b# |, `, S+ m& }( p3 \]+ d" [' p2 l3 @3 m" H1 t/ C3 v- m1 r
U1 I9 \' v2 I# g% S& Q) w
patches-own) ~7 w% Z% p- d* W3 X0 k' s
[8 ?: H. q$ a' h% u w
grain-here ! X5 P g/ {$ b$ @
max-grain-here
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' l j4 D) L3 [& Q# }turtles-own' s: `0 y. r: N- u. x. x
[) |( w* }. \* g" e& o
age , `9 p3 K2 d7 Z! E" w
wealth
8 n- x( h- C6 d' F; u8 Q: n life-expectancy
$ j0 ^3 E+ j! }( S- l4 l9 g metabolism ) e J$ Y8 ?8 q5 K
vision
; j5 z" h* M; S! _( S' [ inherited 8 l+ `+ o( v0 P9 E r
]
4 P n/ e, x: _' V' C: s7 w5 n2 \- s$ K- y- T; i1 b5 Y; X5 [
- z% ` W4 B M6 B4 lto setup
8 Q: N, N" l1 S9 D ca
5 Q8 l ~7 f! p( [ set max-grain 50
0 M1 c# l2 f0 N D7 E" X setup-patches; G* H6 M4 E5 g$ M8 A) T, ~0 ^
setup-turtles
. I7 h, b* S/ ~ setup-plots; J* h) {" B# L' Y0 U h, b
update-plots
+ L: G G) {3 M* A2 y+ Kend
( d" Q; {7 _: m* j* Kto setup-patches
7 L1 {7 B) S$ g0 o ask patches
6 q) k- H$ ~+ J' J [ set max-grain-here 00 I$ g, C# i2 p/ b* N) y# r" @
if (random-float 100.0) <= percent-best-land( B4 I# [6 t4 |7 I/ q
[ set max-grain-here max-grain! s6 q% j+ ] o6 Z7 D# N
set grain-here max-grain-here ] ]2 I- z$ @% `' M( D S, X
repeat 59 ^/ Y A$ ^9 q4 V: S
[ ask patches with [max-grain-here != 0]
+ {+ s0 u* a# ^3 c# S [ set grain-here max-grain-here ]
6 _- p* `' M6 [2 j, P9 j diffuse grain-here 0.5 ]# Z0 `) y* z! T% @
repeat 10
, n5 G" j0 d& G ]# O6 |5 A [ diffuse grain-here 0.5]
c U2 d4 g' R8 @6 @" l- G ask patches
, m( I' V; F1 o0 O [ set grain-here floor grain-here
7 X1 [$ z: H% l6 Q' S. _9 k% i set max-grain-here grain-here ! H1 C5 J& m* u I( i3 V3 k4 i- O* K
recolor-patch ]* a, }1 d# _2 ~* {
end
* R0 `7 y0 K3 h/ S) Kto recolor-patch
, o+ N7 [5 L; T' S# c" A# d5 O) S set pcolor scale-color sky grain-here 0 max-grain
2 Q2 r' I0 T" ^% _end! w8 s8 f( a9 X4 F& V2 m5 b
to setup-turtles
3 Z1 B2 E$ j( F' U( r, e set-default-shape turtles "person"# S0 H8 H/ Y3 O9 y
crt num-people
" k) V2 b8 P. _/ [ [ move-to one-of patches 1 J& b5 }3 s7 d" J- l
set size 1.5
) ?( r- g3 L% ~. w set-initial-turtle-vars-age
" \4 b5 _, a& e/ n5 h5 u+ I set-initial-turtle-vars-wealth2 E- ^$ I1 K Q7 `+ f. Z. {
set age random life-expectancy ]
: p% L' O4 k+ S4 O4 Q5 T recolor-turtles- _: I$ |; ]# E7 ^' |, d
end
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to set-initial-turtle-vars-age% G0 T, j9 D3 w, v: g3 h$ m. z! t& _
let max-wealth max [wealth] of turtles4 j. A9 v) a6 H5 V* ~$ A
( I4 J$ h3 b. H c/ [) _6 K ifelse (wealth <= max-wealth / 3)& H& S& W* ?3 J4 k8 Q( u
[ set color red
) D+ x8 o3 `9 r$ ~; A) \* }# e, w set age 0
/ X$ c& b9 p4 o+ b, x8 [ face one-of neighbors4
2 W1 ~% B9 P7 j5 h* o$ q set life-expectancy life-expectancy-min +9 ]) l; D0 z& s( c) v* k* }6 l
random life-expectancy-max / L/ ^9 C* n& G
set metabolism random 1 + metabolism-low
3 J7 w# o% A6 O( H. _ set wealth metabolism + random 300 y& [, `. R0 [
set vision 1 + random max-vision5 {& s! `: e6 X. U
set wealth wealth + Wealth-inherited-low ]$ Q7 P* i* h7 J/ N8 V2 ~
[ ifelse (wealth <= (max-wealth * 2 / 3))
/ G. Z8 I p [; U1 g; Y [ set color yellow 2 B2 H4 z t ?; b, l6 w/ f2 R
set age 0) |3 l; p3 W7 ^/ f8 v( n
face one-of neighbors4 6 v2 ^$ X' U6 d* D+ g0 @ x
set life-expectancy life-expectancy-min +
. S( w6 R- R- X W8 ?% W random life-expectancy-max + 1& W2 {: G" g) K1 `' b3 [
set metabolism 1 + random metabolism-mid
2 b9 e: r" O' r8 f) X set wealth metabolism + random 309 r0 k) P% r3 a F$ G
set vision 3 + random max-vision/ ?. b/ F1 ~9 f
set wealth wealth + Wealth-inherited-mid]; y" p3 @8 b6 I% y5 s/ ~. P3 G* f
[ set color green
0 l; | f B. T- Z! _# Q8 ]- e/ L4 i2 I$ p set age 0
7 @" `! o+ @! t, ^' T face one-of neighbors4 5 ]3 u# x, A% E$ c3 a `4 F8 _/ C8 S
set life-expectancy life-expectancy-min +
. h$ S7 A7 g; S. K, x, C; m9 Q random life-expectancy-max + 2! {; K: D2 Y$ t
set metabolism 2 + random metabolism-up
$ @! |. E4 U; X0 C. J8 W+ R set wealth metabolism + random 30
- H0 D6 Y3 n2 a$ P set vision 3 + random max-vision
; i: w" g* @- }3 Y# m& z' A set wealth wealth + Wealth-inherited-up ] ]
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. U* M# M$ ^5 b; O% ~# K, bend
1 l5 R1 e$ b% pto set-initial-turtle-vars-wealth
9 t) b/ h, D% e7 Q let max-wealth max [wealth] of turtles. [, b8 R2 z; x' w% C% ]- k% @) T
set age 0" t& u; h9 i0 s, b4 S0 ?' b6 M: P
face one-of neighbors4
# u( \& `8 ^& i! U0 P set life-expectancy life-expectancy-min +; N9 T3 K- x! p5 t8 ~8 {( J ~4 l6 o' c
random life-expectancy-max
$ ~ g0 ]; B0 f: w0 ^8 g( S" w) _ set metabolism 1 + random metabolism-up
1 m: g- f" `/ ^# n% ~0 ^ set wealth metabolism + random 30 E3 |4 t" ?& o; q w9 u
set vision 1 + random max-vision $ h: J! ^2 U4 A
end
- Q# r W' Z" `% nto redistribution8 L+ N( g; y3 b) [7 {4 d
let max-wealth max [wealth] of turtles. H8 O: F/ r$ Y" P0 W0 s. k! Y" L
let min-wealth min [wealth] of turtles
' e) i- _% F3 t5 P0 zif (wealth <= max-wealth / 3)! N0 @7 D. _7 `9 P; d
[set wealth wealth + Low-income-protection ]
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to recolor-turtles
4 \5 s; D- o9 G9 i let max-wealth max [wealth] of turtles. D4 a7 y' s5 ]0 g# S
ask turtles
# ~2 i$ `1 v- I, n, h [ ifelse (wealth <= max-wealth / 3)
4 _0 o! `+ K& `* R. B$ f3 `) ^$ N8 C [ set color red ]$ P8 L% i1 O' L# N) n
[ ifelse (wealth <= (max-wealth * 2 / 3)). ~ O- d" l! M$ ]
[ set color yellow ]
& H" E& R! `2 e+ w* X7 v [ set color green ] ] ]; R& y3 [ o& B7 _2 u$ g
ask turtles [ifelse show-wealth?
. A3 y3 h& Y& p; C$ Q7 J+ n; o [ set label wealth ]: \* U+ D" `5 W1 K: U: u& y
[ set label "" ]], ^* j; q& u5 R0 v3 K5 k) Q O
end
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: ]5 W# ?# y" hto go
* Y9 @8 X( r7 x7 [ ask turtles6 U, }* Z C# C
[ turn-towards-grain ] 1 V ~* k6 [8 m. a* g1 Y/ a
harvest
" \7 k& U" |1 x$ T8 f! F. m- w ask turtles
! G, \% F' d( _2 R [ move-eat-age-die ]
/ y7 S) d1 o4 n) p recolor-turtles0 L, F8 k1 _! @5 b5 L5 v9 z
if ticks mod grain-growth-interval = 0
$ }0 G# X) L& J7 f [ ask patches [ grow-grain ] ]8 @9 V. S8 [. W" _- \7 j$ z6 _
. i- ]3 E/ a) v
if ticks mod 11 = 0! T5 d+ t% \5 w* j# I2 o
[ask turtles
# s% c3 }& e- u6 @# B [ redistribution ]], u! i3 j$ ~+ K' M
if ticks mod 5 = 0
- w0 P7 ?/ `/ I* w! m# w [ask turtles! u2 m# y% a% C4 J
[ visions ]]
! s. c# U1 q6 P' b$ \ tick
1 w. G. z; O% V0 | update-plots
" p3 z! I7 X+ M, n7 j& Pend
M5 `3 T. W [% }3 W. {1 Q6 }, wto visions: Q1 R6 W. O6 I, n4 o: Z
set vision vision + 1 : X- s. q$ ~# J0 z) a$ A: O; q" H* g
end7 W9 l _3 `4 l- g0 `- i. D
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$ ^* l, d5 F9 m: W- t" v
to turn-towards-grain . n1 b9 g! b3 S. ]; r3 W
set heading 0- O9 q/ J5 T: {1 z0 w. m* k9 a. V
let best-direction 0
$ f/ v0 W4 [, x6 k$ `& c let best-amount grain-ahead" t5 j9 E4 g+ l8 u
set heading 90$ ^. [9 e9 t' {4 T
if (grain-ahead > best-amount)3 C" p; I x$ a+ h+ Z b- J
[ set best-direction 90
6 ~$ m/ s5 V; ]$ @. h8 z; ^3 {. u set best-amount grain-ahead ]5 n7 m/ _3 B9 K. \$ W
set heading 180
( j$ Y/ t; ]2 p( V& Z% c3 l3 W2 R if (grain-ahead > best-amount)
7 a0 k3 i& D- | n% H [ set best-direction 180
0 l& Z# f' y5 V2 B, r& u set best-amount grain-ahead ]+ I. Q3 s6 X4 ?$ @$ o/ _
set heading 270+ b/ w' n) Z: V6 r# s
if (grain-ahead > best-amount)
4 [2 H" b8 b2 y5 u [ set best-direction 2708 }! l9 `; H9 R$ ~+ N/ S$ r
set best-amount grain-ahead ]
8 w. ?( h; f) ]+ ]! _ set heading best-direction, z- a% M% F3 g' f# o6 v
end9 f! B# `0 {- ?0 ^" Y
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. Z9 a4 S' ?6 k$ ~- |. @2 S
to-report grain-ahead
! N( |8 ^1 {$ s. Q. V0 R3 G let total 0; ^ P C. V% A$ X" P$ n7 E) l
let how-far 18 h$ c; Q+ `! I' W3 `
repeat vision% w: h; N* A6 x0 u6 q8 m
[ set total total + [grain-here] of patch-ahead how-far
8 p [6 ?$ x8 {' ], r9 j set how-far how-far + 1 ]( ]4 c9 t8 a: a+ a5 d; u
report total
+ p, m1 F4 b Y5 K# z' l* Iend
2 v5 a2 _- Y3 q4 G8 \$ C
5 `. L1 b, ]6 m$ O- fto grow-grain 4 C( c( D1 Y$ }* N9 n
if (grain-here < max-grain-here)! y. N. s! v6 x
[ set grain-here grain-here + num-grain-grown' J4 ]3 q% [* [. }2 \% O
if (grain-here > max-grain-here)
4 `0 r& F9 @( z% U; s [ set grain-here max-grain-here ]
/ n7 v" d3 E. w4 g1 q0 R recolor-patch ]$ ]3 w* {1 W4 A) m* y* S; L
end
8 [9 D/ Q4 \7 L& [6 `. n% y$ Z6 Zto harvest8 K7 v) \: q0 Z+ A
ask turtles5 M6 _2 T7 o: @; V6 q! s$ _
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
' q. l( p7 h- K$ C$ v ask turtles0 n. K T& E- }* R6 f
[ set grain-here 0
# n9 K: N3 O8 g% k& y recolor-patch ]
! w2 c! p- X. U
7 {* F7 P6 n D* {& rend
4 A D2 V! k4 e% j# U( D w
9 g! T3 ^8 N7 \' n$ O4 |to move-eat-age-die * y& r: H% I+ ?% m
fd 1
6 d1 F# |+ v o3 I set wealth (wealth - metabolism)( ^" m7 J% K6 v; H8 z
set age (age + 1)
9 i' m$ @( U& H! F b; h2 S if (age >= life-expectancy)
2 u3 }! J# x) K e0 F [ set-initial-turtle-vars-age ]
- t. j0 k9 I" @8 n if (wealth < 0)
4 k1 J- I/ X' s1 b# i [ set-initial-turtle-vars-wealth ]! t+ ^; X3 d. [! S$ e5 R
; g* S8 ^6 B1 Vend/ B8 |6 K, K4 n, z( o# V
^, I# I$ y4 z/ S2 P3 _& [
2 m9 D/ {( N- U7 V0 Z: S
to setup-plots$ G' p' Q) R; w
set-current-plot "Class Plot"
+ ^" S) ~/ Y8 B. }( ? set-plot-y-range 0 num-people8 w% I7 o3 H7 Y* w# R6 I
set-current-plot "Class Histogram"# h) Y3 `/ }1 y( o
set-plot-y-range 0 num-people
& ~( f0 }/ i0 w1 Z3 F4 E& X$ qend
7 }% c X6 U7 j( h/ D3 e O
# [6 g: |1 X! p8 _to update-plots
9 [! E3 H& G8 q; q/ r2 C6 o update-class-plot
' ^9 m D- @; I1 K8 @+ h2 ^: \ update-class-histogram
; S4 J. a" y7 [' }1 @ update-lorenz-and-gini-plots# J+ `! j" B- ^
end0 y$ \) r' L) w. r8 E: P
' x6 D& U) C; Gto update-class-plot& G0 w; a: E* x+ `
set-current-plot "Class Plot"
* {, p4 }3 V. @ set-current-plot-pen "low"" L& y& E5 d4 b
plot count turtles with [color = red]
& f. Z9 x( S' M set-current-plot-pen "mid"
4 b# F& {" `) y( u) x$ X0 T plot count turtles with [color = yellow]
3 h' o& z& k: r4 \5 `) m6 I set-current-plot-pen "up": r; I: H% Q4 D7 }$ \% ~
plot count turtles with [color = green]1 e5 _5 R1 @% R5 n. _6 H# N
end$ I- G7 z: @0 s. J. M5 h0 y% d
* T5 ?, `! K. C( U7 ?6 y
to update-class-histogram! z$ e4 F3 \% E. @$ y6 d5 q
set-current-plot "Class Histogram"
: n, y- [6 t& k& G plot-pen-reset" `& \; [# }8 r
set-plot-pen-color red
0 h. T" G2 a2 w; U8 a: X7 l plot count turtles with [color = red]
2 V1 I, K @$ |& M: I p L8 D& Z set-plot-pen-color yellow" x* x: s8 r, \9 l+ v# `
plot count turtles with [color = yellow], G+ v/ Q3 ^9 N) O
set-plot-pen-color green
$ r2 O3 h/ _6 A) B& k plot count turtles with [color = green]' W1 S' q* S( a; X* {9 l
end
M2 M' P! N) e+ p9 C7 jto update-lorenz-and-gini-plots4 v0 r0 `% n a* i {0 q
set-current-plot "Lorenz Curve"
+ h. i6 U% I3 A a+ | clear-plot
2 L2 F7 ?$ u e7 I3 M2 O
5 @. k: P, r+ D/ Q set-current-plot-pen "equal"( w- w O" N( A5 r8 |1 U+ g
plot 0- W* I) H) _' M0 @ q0 {
plot 100
/ r% W( d/ b9 ~. p5 O5 @( Y1 F( B1 s& m( B8 Z1 O+ f# N
set-current-plot-pen "lorenz"
0 H# _+ x8 G; r8 ?% n, f. Q set-plot-pen-interval 100 / num-people
# m3 T9 ^ F# n% a( v: C plot 0
; R' ]+ U% p4 _* X& v c ^* i3 F6 g; M ^) h' u7 E' ?
let sorted-wealths sort [wealth] of turtles
! D6 Y- N9 t6 s' ~ T3 e; l let total-wealth sum sorted-wealths1 J! b7 ?2 X7 ?9 m1 X7 k* q. y
let wealth-sum-so-far 0
6 u% m9 ?( B7 k let index 0, z7 [8 a& o7 [2 Y: Z; X
let gini-index-reserve 0
8 A9 {+ F( t+ X# b8 U4 E6 {
1 O5 |8 c6 A/ W, ~ repeat num-people [- Y, u: x& {0 G
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
# G B% `1 C1 P2 r+ J8 w plot (wealth-sum-so-far / total-wealth) * 100
5 [8 P3 o& B( i set index (index + 1)
& R6 H" |4 y8 ~* c! K% _- C set gini-index-reserve0 C8 |1 F8 U2 p: V- f/ i3 R @: @
gini-index-reserve +! q$ n& N( J( }$ u6 ^; I3 h
(index / num-people) -, F$ `3 B* V, o3 o9 v" u+ f
(wealth-sum-so-far / total-wealth)+ F( ?0 }5 u( X. Z
]% l/ F6 d6 I2 o
: r1 g, {2 D2 q' n! B/ o
set-current-plot "Gini-Index v. Time"
" F5 Q8 _5 I" ]+ M plot (gini-index-reserve / num-people) / area-of-equality-triangle0 ^/ w4 G' ?( w/ L. y" W/ F
end- H/ C, \& k o; R" q
to-report area-of-equality-triangle
% x2 j; t1 l7 ?7 ]0 u, | report (num-people * (num-people - 1) / 2) / (num-people ^ 2)! L& O' c& _4 Y8 Q
end |