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1 l" |" r4 V2 w9 Z/ ^# k
globals5 J3 N& ^% E) u4 I1 B2 V, `" a n
[8 b+ m* z/ W. b) a5 v, o% ]
max-grain 4 p7 |+ M1 i4 h2 }
$ u6 {$ C9 ^) v- l6 y: k6 y" L
]
' |; t' z2 d$ l1 ~5 I9 D. i, j l/ w" a: y5 M2 N
patches-own: }1 r. G5 S# H) |+ J
[
6 @. J, N9 n7 b9 { grain-here
+ v$ g5 q8 `9 q* c2 u. ]& l1 A max-grain-here W( m- j% P1 u. x& ~5 t
]
+ y6 o% } M) p) v( w; J8 w, Z; m, T" N. C! A8 T) o0 H" L7 A7 a
turtles-own
. E. P! S5 ]' ^/ H[9 Q& @4 E0 @$ r9 [
age
0 I6 d/ {. e, t wealth # j2 f" R1 S0 `5 j& P7 B9 d
life-expectancy
1 _/ m& ~6 w, L" ?& n, z metabolism ) u; Q: s! C. U/ W! ?( L) n2 v
vision/ x9 r: h. j: h2 ~, L7 P
inherited
; W, U3 W% X" _7 v5 ~! R% h]
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" o9 N0 `" w6 y* e ]5 g
to setup
2 y0 w$ i5 k; K$ l1 r ca: U3 I$ l- S G0 B; G3 Y7 _ L2 i& z
set max-grain 50' C" A# v3 \! q+ [/ x& \+ n- H
setup-patches
; |. n3 u& q( F( I9 J2 n7 [# } J setup-turtles
0 d# V7 ^* j& b$ n" f setup-plots+ r: r) H6 I3 b0 c) I
update-plots
7 a/ @% O4 D2 I3 q2 `end
/ p6 S7 q- x/ h9 Yto setup-patches8 G/ s1 C; U3 ?6 t% s7 {
ask patches v: }3 \9 r# e+ u, ?) S
[ set max-grain-here 0
* g7 d9 n; H4 _ if (random-float 100.0) <= percent-best-land
; Y- d' H& ]; ?# Y5 V [ set max-grain-here max-grain$ \/ X; W' s# O. i
set grain-here max-grain-here ] ]
8 ]$ A/ _( x! p5 F4 H) h repeat 56 B. ^) P( T/ T- s5 D- [) |
[ ask patches with [max-grain-here != 0]' e4 O; T5 `. U7 W! ?( X
[ set grain-here max-grain-here ]
+ ~8 d! V' B% w( N$ X) \! `3 | diffuse grain-here 0.5 ]
- M$ v' i3 m( Y# e" J3 i! H3 K B repeat 10
, ]/ R1 b6 w( V N l8 m3 D: r [ diffuse grain-here 0.5] $ a2 l1 Z: Y* ~3 j; }& u$ N
ask patches
6 G5 x! X# u0 z [ set grain-here floor grain-here
! F2 E5 S6 i; N5 O* [ D set max-grain-here grain-here
; K5 C4 }" W6 B3 } recolor-patch ]+ U6 |5 H& b6 X8 u
end
! T% o S) }4 }% P+ {3 |: Oto recolor-patch
! }3 l! l7 Y' a. l8 v set pcolor scale-color sky grain-here 0 max-grain/ H! h5 b- m0 ]( a9 m$ ?4 j% z0 O. `
end: Z. @$ j1 J; S* O X! c1 T
to setup-turtles
# I: U! M/ ?! c7 M8 X set-default-shape turtles "person"
: F; A' y, S; r" U$ ?; n6 w, z- j crt num-people5 X; f$ T0 x. c5 ~
[ move-to one-of patches ) X' U8 ^ `/ j' X# F
set size 1.5 7 M0 p g A$ \+ m/ b- u# t: M/ o7 k
set-initial-turtle-vars-age4 ?9 m/ F$ B! \! L) e/ P" [
set-initial-turtle-vars-wealth
# r* F' z; {$ M/ c/ h set age random life-expectancy ]! [3 J$ D; E3 J" P. F5 H
recolor-turtles
; d) R8 \2 |# D* ]2 uend. a7 q1 S2 z9 Q) T& Z8 Z/ Q8 U3 h; k
+ F* z' I5 N2 K* M7 o: g+ F
to set-initial-turtle-vars-age
9 I+ y2 d B5 c% H! m; O3 @ let max-wealth max [wealth] of turtles/ R# I7 \9 b, _( Y
# h) t! I* E) v6 D6 F. E ifelse (wealth <= max-wealth / 3)/ L2 C) [. V' X4 t5 @4 R) i
[ set color red % F5 u) z+ w1 ]
set age 0
4 q. u! ?# x) V0 X2 H; a face one-of neighbors4
2 X3 k$ y3 P( I; D9 Y set life-expectancy life-expectancy-min +" s5 _5 `7 l! P0 [
random life-expectancy-max & \, a' h F7 j8 x+ b
set metabolism random 1 + metabolism-low' `5 k7 |1 Y, N
set wealth metabolism + random 30
( |9 i; f5 h) W# l6 p. e' A5 u set vision 1 + random max-vision
9 `. u4 \- g5 g6 e Z l# c4 j8 b set wealth wealth + Wealth-inherited-low ]
& U# Z3 ~: l* }$ p" Y$ | [ ifelse (wealth <= (max-wealth * 2 / 3))
0 @ n# K8 O6 d# J: Q [ set color yellow
6 Z0 ?3 f+ |: m3 M set age 07 \/ {1 {, N3 A( q# k. w! N! f! G( C+ ?
face one-of neighbors4 : B' U% a9 G: C1 ]; T9 B
set life-expectancy life-expectancy-min +
* N3 k( c0 s; t; T' ?5 D random life-expectancy-max + 1# ~* G/ N$ e: O' p
set metabolism 1 + random metabolism-mid4 Y3 _) z: w3 j
set wealth metabolism + random 302 O* d* L" B: b$ B1 |7 y2 S7 N* h; O
set vision 3 + random max-vision
* |# {7 x) @! f& H set wealth wealth + Wealth-inherited-mid]8 C* _4 T/ e: _% n% T
[ set color green 3 w- j& ~' O: {! s* j0 K5 ]" C" d% _
set age 0$ P+ u2 k" F5 Z$ H h
face one-of neighbors4
1 B! C/ A, O9 h& | set life-expectancy life-expectancy-min +& d$ ~" @7 V% ^5 F. p
random life-expectancy-max + 2; J, J6 ^( B% S! Q3 P" H' Q* K
set metabolism 2 + random metabolism-up1 F5 | P- ~9 k/ @# D$ a% h
set wealth metabolism + random 30
" K7 Z& w6 C; k, N set vision 3 + random max-vision
" I1 s: I' s9 O7 i7 i set wealth wealth + Wealth-inherited-up ] ]
# ]+ \& `$ }( t; H/ m% \2 j4 Q; w
3 _9 F: H. Q& t9 x4 }end0 f: A7 K8 [% g8 f% y( [' c0 l+ Q9 ^
to set-initial-turtle-vars-wealth
+ L0 x, J# o/ J* l- o let max-wealth max [wealth] of turtles+ n9 ]9 L1 N# c$ j# `
set age 0
: l3 V2 i' h D% l! n face one-of neighbors4
, I5 v% Y9 D$ p g* a set life-expectancy life-expectancy-min +
% s: z5 Q3 w+ j# M K$ ^ random life-expectancy-max
. b2 w' o, v ?+ B+ k5 h0 p* `! y set metabolism 1 + random metabolism-up
* f5 v' F2 M- E6 s; n& _' d& K: c! c set wealth metabolism + random 30
# a% i1 g% T/ S* O set vision 1 + random max-vision
$ D: E% G( K2 y6 l5 h2 Kend1 R" r3 J1 Y# t: H i" R
to redistribution
9 w- s1 }/ \$ z4 P f zlet max-wealth max [wealth] of turtles
0 `2 R0 u" f8 a$ d5 W* Zlet min-wealth min [wealth] of turtles
; z. c7 i3 u3 B$ t5 uif (wealth <= max-wealth / 3). H* ?. Z0 h* y+ `- w
[set wealth wealth + Low-income-protection ]/ ^9 M. |9 u9 @2 u/ {5 o# @
end- P9 A1 d* l% g, H) ?1 f/ }9 `
7 f |4 m& T2 t2 ?/ f. y
to recolor-turtles
+ c* ]' `4 Y" ^; x let max-wealth max [wealth] of turtles! z: ~! a% n! i7 U% `/ S
ask turtles2 c7 ]2 t* y! q# K. x. y5 M
[ ifelse (wealth <= max-wealth / 3)
. b8 R& C" ]1 R/ M [ set color red ]1 A( E) {* y) w
[ ifelse (wealth <= (max-wealth * 2 / 3))
* [( o" Y% s" M7 G8 Q2 I: G [ set color yellow ]
8 i9 t/ s. l, v S+ F3 u' C( u" u [ set color green ] ] ]
( k q" f% U4 f9 L ask turtles [ifelse show-wealth?
% ], n# z8 X- q [ set label wealth ]8 J5 Q$ p$ m8 y5 E3 ?
[ set label "" ]]; b- g2 Q" r: c/ u" I
end1 A" t5 O8 h# Y% O
4 C' @! Z+ t% I0 S
to go
' \7 a9 S! d, h" N# G) o ask turtles
8 [ v. e* {6 | [ turn-towards-grain ]
! [. O' j. ^' O1 E. ] harvest3 W% D$ p0 r+ ]4 ], [/ |- M! [* ~
ask turtles
6 N' o( A% Q8 V8 k& ? [ move-eat-age-die ]
+ A- I1 N1 D! D, r1 j' i0 ^8 x. K recolor-turtles+ k( i3 j1 G/ q3 a% l" H
if ticks mod grain-growth-interval = 0$ n5 k, C: d2 g
[ ask patches [ grow-grain ] ]
/ b' X3 |3 L P* Q ( u8 w1 r2 `9 I1 e; P
if ticks mod 11 = 0
. B% \# D$ f7 X* l0 t/ \; W5 S [ask turtles; s6 ~- y W* r1 O3 z9 ?
[ redistribution ]]# ]' P2 W7 J; D4 k* w* X \8 w6 Z
if ticks mod 5 = 0$ `7 m# T" o/ _' R1 h+ x( ]
[ask turtles$ S+ n( D" A2 l
[ visions ]]
" g$ n/ y0 |; ^ tick/ u- K+ w( ]3 n/ a3 R
update-plots
, s3 L$ ~( y* f& R* Fend$ ~( Q3 X5 x7 k( b2 P; z
to visions
( J( {; E7 k. m; {: o set vision vision + 1
. ~' n9 J. q8 G0 y# w: Rend# Q E8 ~' p! z
& h. V G1 {( i$ u$ T" D
1 ?: b/ a' h0 f& T% N4 P4 \
2 I A" h% _9 ~) [4 q2 _
to turn-towards-grain ' Y' x3 i% p+ q5 L. S J
set heading 0( T5 M" W" t2 E1 o5 T2 S( D
let best-direction 07 p7 }( y! W, o
let best-amount grain-ahead
$ H7 \: X# L/ n3 w: W set heading 90
9 r* Y8 E# v* ] @% x( j. q7 L2 r if (grain-ahead > best-amount)- t+ H( `( a' a* O! [
[ set best-direction 90
* y6 E6 S' m+ e- }) }) c- L4 A set best-amount grain-ahead ]
|9 {" G4 @- ^2 q set heading 180
$ Q* |. z$ X4 [* ~( C if (grain-ahead > best-amount)
& M7 f9 V8 F5 _! U; @5 c0 \+ | [ set best-direction 180
/ C2 @6 B. e/ E7 b3 U7 T' K set best-amount grain-ahead ]0 ?4 n9 ?, Q/ X2 L& \' ?% ?# y
set heading 270/ H! e' j. s3 [. W0 _: |1 j) r8 K
if (grain-ahead > best-amount); g9 O+ g) J$ }
[ set best-direction 270* \5 C3 q8 O$ b
set best-amount grain-ahead ]7 z9 h4 Z6 C* V, r; S
set heading best-direction( a" y; ^: |3 r$ A5 Z7 X
end$ n! D0 O: e7 B4 \
+ N5 @" k; I8 j7 x% s- X% G# Z
5 J; @0 n! i! A1 h$ @" c ~, v# V: ^to-report grain-ahead
+ R3 ~* U5 f% p; `( }7 S* n let total 0- M' u8 n. q$ ?$ l
let how-far 1
8 i# m" w# S$ B! D" y* t+ W repeat vision4 m* ?/ s+ N/ f* a/ M4 S
[ set total total + [grain-here] of patch-ahead how-far
. Q% Q& R! m* K$ G) M% Z/ j2 E( w- i set how-far how-far + 1 ]9 M# n% v* F+ ~9 L9 d9 {" w
report total6 i0 D& K/ `3 M4 p- D, o
end
0 D6 m" {: A' {* H* J- n; k u9 |) N: L% @5 `8 U" o% t
to grow-grain 0 M' ]5 H, A; Y) P; z
if (grain-here < max-grain-here)
5 M5 O( s4 U7 Z H( r! h% ^ [ set grain-here grain-here + num-grain-grown
& A+ I0 I- b& O. h4 }: n if (grain-here > max-grain-here)
6 v5 }) U4 S2 @; a [ set grain-here max-grain-here ]
3 N) E2 D- L) M7 | recolor-patch ]* {1 u. l x# M
end
- ?+ \6 s$ j& Z. s5 _* l8 D7 nto harvest, _( z, ?1 ^5 q% F2 l
ask turtles
8 m+ M% H# [: P+ S, S3 J) t [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]/ ?" E9 W9 |& k# A8 R) p
ask turtles& z L3 {* G$ s k
[ set grain-here 0; O9 J. B; ?2 s, r2 _6 U
recolor-patch ]
/ L0 Z S$ \: h1 U! J 0 ~+ R" B( D. }/ x
end
& Q8 X, R5 a6 T* F& C) U* X$ T) e) z
to move-eat-age-die ! z2 H c8 M0 q. `; v i8 D8 B
fd 1
5 i+ [9 r5 y$ B) c set wealth (wealth - metabolism)' u2 U6 l! T% M \- L7 H5 D% S3 R
set age (age + 1)
) K8 ? ~$ N# r/ j/ k( j" @" e* Z/ u if (age >= life-expectancy)
' } `: p$ P6 J: @, R7 v* g [ set-initial-turtle-vars-age ]
' I# u: z0 m/ \5 M0 X; b. D if (wealth < 0); ]4 {7 g. @+ e" s& |7 y3 N
[ set-initial-turtle-vars-wealth ]
5 ?# ~) m r# M# ] 3 F& Q9 B% w3 G/ Y) g
end8 h5 j1 t9 X. T% x3 ?; ~9 i" x
- |& c( A) t- t/ X. b% X- {
. {* t) s) B ?+ t' {3 G v: |
to setup-plots
& ?7 C9 K1 x: x- ~! N/ Y8 | set-current-plot "Class Plot"
% U+ ^& R0 l) h o/ H7 S& Q$ Y. G set-plot-y-range 0 num-people
6 W$ i! W, ]1 K- \+ L set-current-plot "Class Histogram"
. m/ K2 {) w2 O% [) _& H% d% I set-plot-y-range 0 num-people
- a5 }( u: F! F1 h+ h3 u: r, Eend
! D1 g i3 B. Y! |, K
# G% s- T* T4 i. k, S9 G, u" Oto update-plots8 K5 }/ O/ Z- d3 L+ o1 m
update-class-plot
. J1 a' p( T. C" l/ |! f update-class-histogram
0 g( d3 ?4 I. `8 G$ }; U' _ update-lorenz-and-gini-plots
" M" m; v6 F) e- |% J+ K- ^# v3 Uend
2 \% e# Z6 }4 o; y* q% C
. ~1 Z' w3 M) O9 ?8 S3 {$ o3 I/ t Zto update-class-plot4 A1 U9 A( q( E9 q5 z. O+ G
set-current-plot "Class Plot"5 A1 H% _6 A4 x3 E1 |( P5 @' O' s
set-current-plot-pen "low"
# _4 O* `$ z5 a plot count turtles with [color = red]% S& R& |* T/ n; u1 b1 I( j
set-current-plot-pen "mid"
- H. k$ m+ T- ?% d plot count turtles with [color = yellow]0 I7 o: |1 a5 Z2 P6 L( v
set-current-plot-pen "up"; a" b# S% P! ^# m
plot count turtles with [color = green]( H. l- d4 A. @% Z" K/ H" W" ^* {) n
end
6 T# ]: z3 _8 U Q
% t \1 ~! k# R' Ato update-class-histogram
) i0 r* E6 j8 ?2 C9 ?* G set-current-plot "Class Histogram"
! w, a8 T" J/ z plot-pen-reset
, J2 R1 o0 `6 _$ z! _ set-plot-pen-color red6 p4 l: f3 N$ v" V6 G! z X
plot count turtles with [color = red]
" s1 Q$ D8 Q, C7 M: ~ set-plot-pen-color yellow- k% k) n' p4 O8 o a/ m* z, L0 u
plot count turtles with [color = yellow]% F1 k; u7 X S, p1 ~' z4 _
set-plot-pen-color green( }1 [% w q8 n* }. C% ^
plot count turtles with [color = green]
* i0 d6 y6 U+ j. g$ a; w: Cend
, T- X: Y. f) bto update-lorenz-and-gini-plots
3 D! q) r! c9 n, q( V8 K set-current-plot "Lorenz Curve"
) T. {) E! `/ i* v$ a" y" { clear-plot! ~$ N0 y0 n# z) _- j% N6 j# i8 W
( r1 o+ \6 }8 q* H- K' a
set-current-plot-pen "equal"6 w0 q! @! E2 I( [
plot 02 X& c* ]% H0 G `. M, B# c
plot 100
2 }+ s4 T7 W* U, u2 m( t2 A) c. a& X8 G1 C( a
set-current-plot-pen "lorenz"- H& B( X' x1 U+ a
set-plot-pen-interval 100 / num-people1 Z a5 N! ^! R
plot 0
; _3 q g7 {6 }) T: M) F' m* F. G+ X# |
let sorted-wealths sort [wealth] of turtles. S, f+ ~6 {# k/ U& l
let total-wealth sum sorted-wealths
8 a' D/ J% c% y2 i let wealth-sum-so-far 0
& B% j3 {" Y" t* d: `) U8 s: y6 c let index 0$ k( k2 m0 q+ W- W% @7 U! `
let gini-index-reserve 0! {& O3 D4 b! c" d
3 B* X; t+ |* _# k# Y
repeat num-people [
6 G/ Q; \! q2 _0 g set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)" @! |5 S' _# m% |1 v" E! w
plot (wealth-sum-so-far / total-wealth) * 100
9 f6 T" x; j6 u1 q set index (index + 1)5 c' b* `6 `- @( U1 ~
set gini-index-reserve* V6 P1 v9 B) A2 _6 u- f
gini-index-reserve +
" w3 E% o2 t q. Z" m% j7 ]8 B (index / num-people) -
# t6 K& q2 d4 d (wealth-sum-so-far / total-wealth)
* d1 M `9 S8 `; w/ r: I ]
0 l. O' f7 t5 h/ t5 H: C0 c$ ~( e: d) v. j: ?
set-current-plot "Gini-Index v. Time"
[( [* U/ o( ~2 Q plot (gini-index-reserve / num-people) / area-of-equality-triangle/ q/ e+ _! U/ |. t
end% h' o: x$ T( f2 U& m0 v
to-report area-of-equality-triangle/ @# _$ z$ @0 A& H: r* a3 U5 v& d
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)6 u9 _% n( _* l; D# \; t) p/ m
end |