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( j1 O) X* _; p% p9 W0 ^0 H8 L' C2 _
globals: Z. l& \! C# R- R
[- I( b3 p4 r- m3 a/ ~- f5 z) W
max-grain
+ u( X& ]! m' H1 f- U+ B% @ x8 ~7 h) E" c
]
- ` h' U. A3 M1 v% R+ w2 p5 a8 D, Q, `; C& g5 D
patches-own. J+ I& V' Q1 G$ e
[
' X& \9 r( A: p0 s# a grain-here
# `/ B5 F7 x S/ ?/ Y8 K. X max-grain-here
: K$ h$ f/ W+ ^5 z; G]
3 T @5 ?1 \+ M( A
) k: W( H9 L. m% E. d; C; Eturtles-own- a P" X$ B: j0 E8 b! H/ H2 J; x
[
+ I" b% x- O, G3 {% Y2 \7 ] age
6 e5 f1 G4 D- _" H! {% C* Z( U wealth
' q* K! m- k' j; p1 ] life-expectancy " m0 b6 a$ c8 D K6 B
metabolism
" R3 [# @, S. x) E7 k vision
~% X. u- I) W$ v inherited
6 N. h9 d/ K/ ?1 P]
$ P; R6 \3 x* W1 x& N) ~- T7 N3 r2 T# D- c# Y/ y. q
% \9 n( i% U% |8 ?& S+ o& T
to setup, S8 R3 y% V* z$ E+ R8 w3 w
ca0 D- g2 }* T$ E' \1 |3 Q
set max-grain 50( p: x2 o! p# e' ~0 H
setup-patches
& X5 V3 Z' C1 S# t6 n" R setup-turtles1 l8 b* c' d. n6 y) v
setup-plots, G& }0 v- ^! c
update-plots
/ X) o) R* l6 ]% yend' i# ^5 t- `( Y. ^- l8 j
to setup-patches4 r; [( K- K3 P2 w- }7 q
ask patches
; {1 G" f' J6 O- }; N [ set max-grain-here 09 ]& p1 R4 j5 Y
if (random-float 100.0) <= percent-best-land* ]2 N% c/ ?+ E6 |6 E/ C
[ set max-grain-here max-grain
2 H/ K8 j4 [2 ?! ~ set grain-here max-grain-here ] ]
% y- H4 C* j0 T- _3 P6 m6 G+ t# M repeat 5$ `' V3 `1 _) f0 P* O1 ], E
[ ask patches with [max-grain-here != 0]
K2 N/ X3 Q q E [ set grain-here max-grain-here ]
4 E+ h' A% D& c, k, {$ k% Z diffuse grain-here 0.5 ]7 p% Q8 j, H1 v" M
repeat 10
8 i, Z, W- M* A2 ] [ diffuse grain-here 0.5] $ _( e5 d: l; k$ b& _9 c7 T
ask patches! U. K5 p% d1 l. k; e
[ set grain-here floor grain-here
/ G, e' T$ e L% n/ R9 d/ J set max-grain-here grain-here ; g2 V( _( {7 _5 F6 L5 f: t' D& s" e
recolor-patch ]) [0 \7 j- f" r ]
end7 w: y. q3 O3 o& G0 @: [4 y
to recolor-patch $ \( h; \# H" Y( ^2 k
set pcolor scale-color sky grain-here 0 max-grain
" t0 g: R9 B* o* n- M6 l1 g; W3 [end
3 h) y3 F7 X+ ^( h* ]7 r6 Ito setup-turtles
5 t% ^5 m* g, ~2 L6 T* e set-default-shape turtles "person"1 Y4 ~5 N8 R! i/ V6 L; U
crt num-people" _. T, O% g3 d' H; _. w
[ move-to one-of patches
& z* l- R L2 ^$ X. h9 C set size 1.5
/ `9 x/ y: _8 s0 W4 P' G/ Z" x' E set-initial-turtle-vars-age
5 a3 z0 h( x1 |" j# H1 Q( D3 s7 i set-initial-turtle-vars-wealth
3 Y# i$ o' E) [$ K9 k; ?1 K' J set age random life-expectancy ]
8 d N* m: F1 S" m/ ]6 k recolor-turtles4 `8 W1 I+ G3 V3 c) @: u# N% s) k7 Z& E
end
1 L( ^6 {' w, A. w. X) T
0 |% Y+ H. r) f$ V2 U: Nto set-initial-turtle-vars-age
- _5 X& x& I4 m( W1 ]7 \" ]( O let max-wealth max [wealth] of turtles. S6 V3 V6 K2 Q" X/ X5 S
$ p* m) b7 J8 K$ s
ifelse (wealth <= max-wealth / 3)" D* w k; c, y2 O
[ set color red
! S7 k& N3 V( K; | set age 0
4 k9 @& Y& ^6 q& E" ~& p+ W face one-of neighbors4
& I! ~5 V- ]! \- `% Z% t3 {8 }1 w3 |2 J set life-expectancy life-expectancy-min +
" _9 Y2 W! S0 H, }8 I- |) m random life-expectancy-max 3 h/ V" i h! m' O6 ], \, N" y
set metabolism random 1 + metabolism-low
+ r9 L& D2 v! r+ E9 A7 G% p set wealth metabolism + random 30
5 d& G, I$ N5 X) U% k9 @) e set vision 1 + random max-vision
7 O9 m% y) E/ a/ @ C3 H1 p: d set wealth wealth + Wealth-inherited-low ]
9 r* {# o1 t [# E, z3 ~ [ ifelse (wealth <= (max-wealth * 2 / 3)). _' Y: |1 X2 L( ~% t& o
[ set color yellow
/ L; R8 \; M# b# P" i+ f set age 0
/ R" A: u J' m# y2 U face one-of neighbors4 2 x! \. _3 p! k/ g3 ]
set life-expectancy life-expectancy-min +
6 E1 W4 v* Z9 J( A random life-expectancy-max + 14 H* k1 C* C" N) n
set metabolism 1 + random metabolism-mid
& L- [! ^2 A! U8 H# }/ J set wealth metabolism + random 30
1 R! T+ o2 M0 B/ f$ I set vision 3 + random max-vision
2 z0 z9 \4 ^. n( o9 V set wealth wealth + Wealth-inherited-mid], D- N4 @& F, v1 z- c) l$ B
[ set color green
! {" Q& p: f- F set age 0
# t0 t) T0 Y% {" F face one-of neighbors4
% u: N' |' x* ^" N set life-expectancy life-expectancy-min ++ b3 T* Q9 q# [8 z
random life-expectancy-max + 2" Q% B# ]! g( w9 f. a4 X
set metabolism 2 + random metabolism-up1 r+ z8 B# l; L( O# L
set wealth metabolism + random 30
z( C7 c+ J) X( ~$ ^5 j: A set vision 3 + random max-vision6 d) n0 o9 U0 q3 ?0 p
set wealth wealth + Wealth-inherited-up ] ] ! S5 e# q1 L. E; H6 v. c( Q
" h2 I8 c& w4 \6 J' K# S
end
, a) y! j" Q( V ?( R7 {to set-initial-turtle-vars-wealth
" ?+ }7 M: Z+ r J let max-wealth max [wealth] of turtles) q( s6 F9 Y {$ u4 Q
set age 0
& _9 o- _+ S5 m) B4 r face one-of neighbors4
8 b l' ~/ l3 F$ p% A- ^ set life-expectancy life-expectancy-min +
/ D( h! e+ r! c4 K: B random life-expectancy-max . w* \& _5 d5 g
set metabolism 1 + random metabolism-up# B4 @' _7 G. k o& i0 J
set wealth metabolism + random 30
2 r! p( n( C: \. F7 ~5 y0 U8 q$ G8 Z set vision 1 + random max-vision
/ [# K& l k, @0 T! U T* Tend3 v" z- N* V$ |8 A
to redistribution
2 x9 s% L% [6 a) Jlet max-wealth max [wealth] of turtles% {2 t" v2 q: j7 u
let min-wealth min [wealth] of turtles
% c& k# _8 A- Y: C# Yif (wealth <= max-wealth / 3)
7 Q9 B: L' F8 Z. \" | [set wealth wealth + Low-income-protection ]
/ K9 L. X) c! {7 i0 N; E* s1 Oend
2 N% {' ]0 ]9 D1 S, C
@, P8 j% u+ J0 A9 G7 F* cto recolor-turtles
$ O7 n* j/ s4 n let max-wealth max [wealth] of turtles
, o8 z3 ^! d* G% k2 K/ _6 ~ ask turtles
# J" }4 b3 c0 P+ I" f/ E [ ifelse (wealth <= max-wealth / 3)
) o4 s3 ^- X' T1 m [ set color red ]; ^) u& V2 i! Z2 g! o
[ ifelse (wealth <= (max-wealth * 2 / 3))
# N) i2 j2 p7 D7 b7 t/ }, o [ set color yellow ] d m' n/ x! o% I! b2 l& \
[ set color green ] ] ]" ^* N A' N7 ~, Q, y0 Z9 X2 }9 Q
ask turtles [ifelse show-wealth?6 D$ J/ E+ G1 r" i9 g
[ set label wealth ]
0 |- j- G+ ?6 U" d1 j- } [ set label "" ]]! k5 x0 Y4 a1 _+ @
end
6 T& g, c1 \2 p2 U: b" p, j
. ~' g2 e, d" U8 u, R% sto go
- Y$ {( h1 h. k! i4 N+ v ask turtles7 X0 W' K& v1 d
[ turn-towards-grain ] 9 Y3 |. R G/ o' _/ G" _7 K
harvest8 H8 k5 ~/ V0 Y& K
ask turtles! x, R' l4 Q3 {. L" K- j7 i3 k
[ move-eat-age-die ]- u. l3 @/ z4 E0 f
recolor-turtles# x) \* W; i* h$ S# s
if ticks mod grain-growth-interval = 0
% L2 k4 V3 N) ? [ ask patches [ grow-grain ] ]
) l' p. ?8 ~! W5 V# r. \/ `
1 d# O, S" X+ U if ticks mod 11 = 0
% m( g' b7 |" l$ U% F( ] [ask turtles
1 |' D9 k; i3 ~, n6 D [ redistribution ]]5 L/ J. e5 c0 n" M' e
if ticks mod 5 = 00 e& O2 x4 O3 [$ Y5 ^' F" A
[ask turtles
7 [9 W7 ~/ j4 u7 g( _3 G [ visions ]]
|; H' u. w; R* z6 u, m& S+ h' k tick
9 I" g% N* X) C6 s/ I% | update-plots( t- d" g- T; l4 q. [/ Y
end. ]* }! T- p3 ~5 i- d: y" y
to visions
* S' i J% j, I set vision vision + 1
/ l. o1 ?7 U$ Iend
7 J( P T& E$ j
1 \% x# j; Z; w f! [8 M) {) L& m0 B( J
: F5 Q& ~. B Jto turn-towards-grain 5 p* y: U& ?3 e/ b. e; p! K/ j
set heading 0. `1 y8 _/ l. T0 e3 Z" J
let best-direction 0
4 m$ d _2 w% L3 ^1 q; u6 C6 ^/ j let best-amount grain-ahead7 }0 [! Y* P+ U# x8 |6 u
set heading 90" @* K! V: s5 s: ?: |
if (grain-ahead > best-amount)
7 ^+ W F7 @, H+ x3 J6 U [ set best-direction 90( t- p" t" D* \' N$ z; q/ Q3 u+ L
set best-amount grain-ahead ]# V$ B* E: M* t) W
set heading 180% g* d: a+ u7 i0 | f" Y a
if (grain-ahead > best-amount)1 {7 G1 h* {; s. {0 P; N
[ set best-direction 180
5 _; i3 \+ M' H2 ~ set best-amount grain-ahead ]
6 t# M/ q- y, X( b0 W' m. ~/ ` set heading 270
, A3 s' U" I/ g7 @) ]# s, g if (grain-ahead > best-amount)) N5 Q& Z7 H9 y- t+ K2 f/ U* Z
[ set best-direction 270
& N) \3 h$ U) I1 ` `' J0 q set best-amount grain-ahead ]
4 H& g$ W3 U" s+ L' J c8 y set heading best-direction) B2 h( i4 G& j! {
end; D |. G1 I3 v+ z
( a- b( F2 b5 k$ o/ v, j& Q* @
' e- s5 P% r* M* uto-report grain-ahead
# k: z' t* c/ c' p let total 0
6 r0 P- l. f9 W let how-far 1
- ]# u1 w& T* [7 H repeat vision) F. W% N9 `; b j! n/ Q: V6 m4 X
[ set total total + [grain-here] of patch-ahead how-far& i% ^4 v! {! w/ i
set how-far how-far + 1 ]
7 A. z/ i/ C6 N( q7 u& e4 ? report total) f6 f: L+ f0 [+ w4 `' `( Y: a" R
end& `; y8 O3 r. R' B6 \: C, ]( P
1 q# S( r2 c. c: j E+ j
to grow-grain
: q/ U! ~( E! j& f$ X3 Y+ S if (grain-here < max-grain-here)
$ t" n7 L! M% x. b: Y" H9 C [ set grain-here grain-here + num-grain-grown! f& Z$ t4 _7 j3 |) u% Q0 W5 b/ E
if (grain-here > max-grain-here) 3 Q! ~% {( p. ?1 q. |
[ set grain-here max-grain-here ]
. n; Z0 s( Q- r- n0 l5 Z. P- Q' z) \ recolor-patch ]
+ |3 R* Q# {) Kend
( x+ t$ s( a* M8 |8 v/ c/ B2 ?to harvest
' M/ w2 a }/ {- @; \' B ask turtles
3 V/ a6 R( ~5 f" Q a5 p [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
" ]& B+ t8 [3 j3 f ask turtles
# g( H- f3 N$ r% J4 M' L [ set grain-here 0, i$ s8 J% S8 R, X& v
recolor-patch ]
* y q" [5 K0 r: v9 a " |% X* W. B0 k$ Y" m! N
end& r$ e: H1 r# Q( q, u
& N) u' p5 W$ d: s+ d* [/ nto move-eat-age-die * E2 r$ {6 A6 U" i# S
fd 1 g2 Y- T. J8 `7 A0 x8 n
set wealth (wealth - metabolism)! Z5 ~" G A9 f8 c- Z5 M
set age (age + 1)
6 r8 h& M; R% r p. Y6 s( K3 R if (age >= life-expectancy)
2 E5 t! j6 ]; y [ set-initial-turtle-vars-age ]; V ~1 G k y$ I
if (wealth < 0)% o3 h" ]; L- \7 Z* X
[ set-initial-turtle-vars-wealth ]" @: O% h$ G; Q" l0 l0 A( y
' Y* z/ O1 Y. K8 i, ?9 j. u
end2 s8 m2 i+ N9 I, }" P" e
& t) G" E. ^2 y4 S) Z3 U
# U Q! u' ?0 J* p, H1 lto setup-plots
4 {1 E' s: }% \4 O$ L7 J- s set-current-plot "Class Plot"
5 q! A+ c, [: d0 t- S4 x4 V! W# M set-plot-y-range 0 num-people+ }& d. R3 p- k1 ?1 V
set-current-plot "Class Histogram"8 a( y. \) W8 N1 s/ D8 M
set-plot-y-range 0 num-people/ p! y8 v! m* R* `' j
end
# L6 h# D% K( K; w/ Y7 i$ | Q7 w
/ v7 Q4 p5 P2 O/ Zto update-plots
H \( y6 P; `$ u4 p$ b& j update-class-plot
0 Y! y4 H' N8 p3 |& w1 L update-class-histogram
$ w" N6 E2 [* d3 } update-lorenz-and-gini-plots
, {( ]0 W, ]* }. E7 `1 Cend
9 n n' F! D% h. r$ }+ n2 ]9 S* A
to update-class-plot
6 \9 g6 D3 A" N% M1 t { set-current-plot "Class Plot"
& Z, }( d g" j! y- S set-current-plot-pen "low"1 R% t; B! t1 {- _! U/ ]& t
plot count turtles with [color = red]* [# M0 Q/ h9 {- O5 r
set-current-plot-pen "mid"! W# J6 b6 r! F
plot count turtles with [color = yellow], o+ k9 G2 g. {& z9 t+ h" R
set-current-plot-pen "up"
4 x% H; p3 T# c: g( @4 d) g plot count turtles with [color = green] ?: F1 L0 d6 b5 g' s
end
( l; c' }& B g0 T6 ?0 {% c, e6 y) d! h
to update-class-histogram
: q' D: ?6 v! Y6 Z2 i) y6 m# f set-current-plot "Class Histogram"- a, l: o( R/ Z) V
plot-pen-reset
+ f6 m% ~' h0 \' x set-plot-pen-color red$ n* R$ J5 D5 z) Z& S3 K
plot count turtles with [color = red] `) F* J+ \, e- S7 `5 I" m
set-plot-pen-color yellow
1 z7 @7 Q: t* T2 H- `. t, b plot count turtles with [color = yellow]
2 G& f0 e, Q$ @/ k# ? set-plot-pen-color green
% t9 w6 S7 O( F7 ? plot count turtles with [color = green]
1 L# _/ Q' z! H. l: h1 n. A8 Lend
( t' ]9 w+ V% F, L7 F% tto update-lorenz-and-gini-plots, P( T2 g3 K3 U% l/ z2 J- k( S
set-current-plot "Lorenz Curve"$ _+ Z% W7 ]* [8 V
clear-plot& v" d# _* j% N' X9 D3 L1 l
1 T( V- Z0 D' M7 Z9 a2 O) N" ?
set-current-plot-pen "equal"4 |" _& u, W2 s5 V3 I( s4 i
plot 0
% n/ l$ K9 m. p4 P( l plot 100' q0 a& C: r. k+ e8 O
+ H( e. O7 t6 ~0 {- t! I# e
set-current-plot-pen "lorenz"
; x2 _' c& `' h1 J' a set-plot-pen-interval 100 / num-people
/ L$ w3 w" p' a plot 07 [9 \- A) `% |$ w* a8 s# H
1 _# v* r, ^- z* E$ a& c let sorted-wealths sort [wealth] of turtles j# j5 z4 {0 o& V8 W
let total-wealth sum sorted-wealths
. K4 V6 H. Y$ _; E let wealth-sum-so-far 06 t7 D4 x: y. d* [) c
let index 0
$ o9 i5 O+ Y2 W8 B! c let gini-index-reserve 0
$ s$ j4 C+ s, @3 p" l. E3 A
, H# p; g! a- u- E repeat num-people [5 `2 P b2 F5 G
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
( H! q) r* Z6 q& [ plot (wealth-sum-so-far / total-wealth) * 1005 O3 k9 n6 ^4 R2 l8 k
set index (index + 1)
9 j g; V3 b2 i; _ U; K set gini-index-reserve+ J4 g. K% I3 b3 f7 Q% z
gini-index-reserve +
}$ x$ Z! O: Y. Z0 K (index / num-people) -; Q6 U, u/ ]8 T' T
(wealth-sum-so-far / total-wealth)' f: t$ r: I" ^7 {% o6 z. f; M
]2 V' e6 p7 O1 g [, B& u2 |
3 V$ K I- Q& F- D& |' l
set-current-plot "Gini-Index v. Time"/ F, a/ N" a* S3 Y
plot (gini-index-reserve / num-people) / area-of-equality-triangle9 p2 F& f4 X' q* _& X$ w
end
6 L& I9 K$ }7 X0 Q9 y' @to-report area-of-equality-triangle
; G0 q$ l: z; Y- g$ | report (num-people * (num-people - 1) / 2) / (num-people ^ 2)8 s+ Y: o2 m. I/ g: H( m, Z2 O
end |