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5 U T% e' I) C! ~* V" j$ F1 X
globals% I3 N* e* U$ ]
[: |/ |9 J3 R7 m& A
max-grain
' W* H! Z: l+ ?& [
9 k4 ]) e1 h6 W% D2 F: K]
9 T. m/ Z5 v# m+ W0 v! v9 ^
; @5 i- U% O/ O2 Ppatches-own
) p3 B6 D e6 M4 d% r2 e3 T[9 \6 N! q. l7 ^2 P/ \. ^ l" f
grain-here
9 l( }+ G" M" ? max-grain-here % E% O/ u$ P; b7 {5 S- U4 D
]6 _& [' S( H2 G( A
7 G- b$ B9 f2 J- w, ~
turtles-own- s+ w' l% b( n s
[
" X( F5 M P1 c! K( ~7 A( O age ; j' F5 s9 K' }) B' ]$ e. g
wealth
( |9 @* k' s2 p7 c' x) c2 O! D5 ` life-expectancy ! x, `0 K* q# T6 o9 C
metabolism
' i [8 O6 n# @6 Q vision
0 W: h4 |8 f& l$ K" D8 u inherited
, o" l$ O3 ?# |8 M* W6 `# Z" \]; }" H4 G8 H$ H2 k) Y
& W+ z4 f( `, D1 U. ]3 T; e8 {. m- ]7 g: S) ]
to setup* O# m" _$ ~! d" j/ i r
ca
7 f9 l+ G0 ^, i) y; A; ?( ~ set max-grain 50
8 i1 K7 y: K+ o+ g1 N" ` setup-patches9 ^; V* M6 `1 r4 z. |
setup-turtles
8 S- }6 y1 a6 d! B setup-plots; M' e2 Y7 c1 M/ ^
update-plots1 g) {! f, \% `1 t
end k' o6 W8 o! g* N7 {
to setup-patches0 j' @/ d. y$ E# u
ask patches
: g" [' t' L( m# T* }; }- P [ set max-grain-here 0
9 k1 b+ D! R, r) N8 [* ? if (random-float 100.0) <= percent-best-land
6 t8 U5 _# ?9 W/ z' _7 _, X [ set max-grain-here max-grain+ h( ?1 `: \4 J! G' J
set grain-here max-grain-here ] ]
% W6 s) u4 W+ B" S- |/ X! Z5 n repeat 5" K! y% z8 r* Y) h6 C
[ ask patches with [max-grain-here != 0]6 y2 L: a8 d4 O! N' X' {& w
[ set grain-here max-grain-here ]3 g( m5 m7 ^$ m9 U' L: p
diffuse grain-here 0.5 ]8 L$ _" A. P& U: _2 m) u$ W7 k# f; `
repeat 101 m* E( a) G) a$ }! A! d% C* D; ~
[ diffuse grain-here 0.5] 3 M$ A: R3 V* v9 q# h8 O
ask patches" ~) M3 B2 A& h% i
[ set grain-here floor grain-here
/ P/ k+ x! ]; y) N" n' {3 ~ j5 \ set max-grain-here grain-here
0 {; e) G0 n) x recolor-patch ]
; c" w/ u6 K+ V- S' lend
; v2 y; K4 f- qto recolor-patch
8 R5 r: }+ P) m: Y8 h4 l- @ set pcolor scale-color sky grain-here 0 max-grain6 {( G% l( ?' u3 \8 ?+ K% T0 B( N
end% ~9 I/ Y/ H( v8 V( E+ A; a6 M% u
to setup-turtles
1 ^- o# C5 p- r& q2 [3 ?) N+ c set-default-shape turtles "person"1 o4 p2 \- o* ]% }7 e3 P
crt num-people3 H) B6 ]& M3 c( Y1 D# [! A! `
[ move-to one-of patches ! z9 h- e; G$ {2 A! A3 b/ y( r
set size 1.5 " U1 X0 P7 |' q2 H, S7 B
set-initial-turtle-vars-age$ C" O% `6 Y% W8 R9 N5 T( p
set-initial-turtle-vars-wealth
; `% Y* \. F6 g# E: H. Y$ F/ U set age random life-expectancy ]! `) R* \# i5 w7 }' }" ~
recolor-turtles
3 B6 |5 Z9 j' G! h$ K/ aend
0 H, p8 m& I: r2 u3 U |0 _! p7 y' p9 d1 @4 }) {) ]3 X
to set-initial-turtle-vars-age N7 V/ o( K' W. i9 U
let max-wealth max [wealth] of turtles
$ D" I, q/ u+ s3 w# Z - @2 F! K8 c4 {+ ^
ifelse (wealth <= max-wealth / 3)
* s: f3 J% g1 z0 D; ]# v2 I [ set color red
) C6 R; Y& o4 L4 f' W! _9 Y set age 02 N5 u* R2 w1 A
face one-of neighbors4
* \0 s, o, U6 D1 y& K! V set life-expectancy life-expectancy-min +
8 b5 [# e1 r# p, a2 }5 u J random life-expectancy-max
9 a8 p$ Z/ J5 T' v/ K7 ^& j set metabolism random 1 + metabolism-low
" _5 Z+ O: ~* G4 T6 R- t set wealth metabolism + random 30
- k% B/ X; [# W4 \2 v( @7 h set vision 1 + random max-vision
) p7 z4 {+ S( l- p set wealth wealth + Wealth-inherited-low ]
) ?- |( D7 W) K# K2 R4 m# U [ ifelse (wealth <= (max-wealth * 2 / 3))8 N" X1 P% ~3 y7 C
[ set color yellow
5 ^0 g) y) A1 t& Z7 } set age 0
1 o1 M7 n1 m$ d/ |4 ] face one-of neighbors4
. O8 D; ]% T2 t set life-expectancy life-expectancy-min +
. V$ o4 ^1 t( Q/ Z% S6 P9 K3 \ random life-expectancy-max + 12 V, @# y1 P: \* |* |
set metabolism 1 + random metabolism-mid2 G! Z8 `( W8 q" h2 d
set wealth metabolism + random 309 U9 Y6 h/ X3 a' U7 L" z
set vision 3 + random max-vision+ s& _7 N P |, v) n: y3 f5 C
set wealth wealth + Wealth-inherited-mid]
/ v/ k) `8 d' Q* l i9 f2 n' \ [ set color green
5 x5 Q% S, H5 e# V+ D/ ]; s7 m$ q I set age 0
: x: u5 I% a. L face one-of neighbors4 ) p$ k- M3 M) t7 U) s' ~0 k, H; J ~
set life-expectancy life-expectancy-min +
: T3 Y6 B' o- b' Y+ |4 `4 k. l/ x" C random life-expectancy-max + 2
/ \; P( i, f) q) j& S$ D set metabolism 2 + random metabolism-up
9 D$ q; j$ B( C7 U' _" m5 q set wealth metabolism + random 30 k. g% y. O; v' j
set vision 3 + random max-vision
: F& w7 h; Q, J! W- Y* Z set wealth wealth + Wealth-inherited-up ] ]
: |# m( G1 E; M1 I) o
$ G' q. S2 p$ W8 h1 {end) w' m' }4 c2 A! }
to set-initial-turtle-vars-wealth
4 s% ~/ h u& ?; u" Q let max-wealth max [wealth] of turtles
2 H; Q! D! E+ x, b9 e' ] set age 0
! F8 v' `' C% s9 ] b I$ A! ` face one-of neighbors4 & T) y" Q9 Z6 C3 X$ O
set life-expectancy life-expectancy-min +
) q* w# P `) X( `! t, T) { random life-expectancy-max # X; M! M# b x
set metabolism 1 + random metabolism-up
* i! l2 Z/ {4 f" L: G& V set wealth metabolism + random 30
2 q! F' h! @6 v* o" q6 v set vision 1 + random max-vision
: ?! _" h- p( M$ I: t! g- \end
- Y- s4 H! u. q$ z9 V5 C7 v, c% u4 ^to redistribution
" Y. k5 F& d+ P+ M* elet max-wealth max [wealth] of turtles
# f9 u0 I6 v+ z# c3 Y- e( s) rlet min-wealth min [wealth] of turtles; Y! V2 g7 s3 _; d! @: A( P e
if (wealth <= max-wealth / 3)" S% i- C! {, w
[set wealth wealth + Low-income-protection ]* X% D8 s* q& c4 h3 a4 a, a
end; g* E- l$ @& z# w
$ N1 S7 K7 k. B! u, A2 W) ~# y
to recolor-turtles
- ~; U) o6 r, r1 F' T# i let max-wealth max [wealth] of turtles
$ p: v" T( Q9 q. q# l# b5 U ask turtles0 ~# p+ T& N" l. K$ }* q/ W
[ ifelse (wealth <= max-wealth / 3)
- B. d% L$ z$ C3 t6 h& x [ set color red ]
$ \ }3 ~1 z# _, L% z' b* K [ ifelse (wealth <= (max-wealth * 2 / 3))$ |3 c; F9 P- P3 p) m0 L
[ set color yellow ]
1 \& m N# g) X* ?- p [ set color green ] ] ], B' V% F8 _' \
ask turtles [ifelse show-wealth?% ]" e. V( o/ I$ v
[ set label wealth ]) Z* ]3 S' L+ o% r& U# \
[ set label "" ]]6 W4 m- a" l! J. Q9 q9 Q p
end
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1 Q8 j( e& y8 P, ~3 {, T; bto go+ Z- {6 L3 f/ D: H: ^
ask turtles8 w5 P, A: L) X8 h8 p
[ turn-towards-grain ]
) w: g, l% s x* I% D harvest
3 r% K' s1 d% `0 ?1 L2 ` M- q9 c ask turtles
) S0 d3 ~) V: G% z ^ [ move-eat-age-die ]. G% ~8 e/ m/ J: k8 h9 E
recolor-turtles. C- @. @# g1 h% k9 X& E
if ticks mod grain-growth-interval = 0
- `3 n. P! q0 _- {* L [ ask patches [ grow-grain ] ]
+ I6 \# V" a9 ~- N
; a$ _4 a7 p8 ?3 c" G" K if ticks mod 11 = 0
' k+ ~! t$ s' _7 r# ^ [ask turtles" n- ?: z8 |% K
[ redistribution ]]
4 J+ E5 i; H) E3 c) B4 m3 V# X if ticks mod 5 = 0
5 \( \- N; T* q( p( [ [ask turtles
+ z+ h: W9 E, C/ g+ } [ visions ]]
+ ?0 m1 @) S; u/ ^1 D* y( ~ tick
7 }2 s/ ]. G5 p0 V- s/ E update-plots) N& Q! b4 e5 p
end
. P5 |- K$ g4 {0 Q) \/ I+ Pto visions
9 B1 w+ L$ \9 p0 l( h$ U set vision vision + 1
1 U2 S2 A0 g/ |' E- \$ s. m5 h% Lend0 z9 Q# J* ]9 Q) u0 R7 J: R& U& T& Z
* t8 U" t0 R* T
3 f3 r) Y1 J: a2 O
; C& C0 O" Z4 tto turn-towards-grain
# i# l. o# G5 p+ k set heading 0
- Q1 G4 ]! q- h; K1 A p2 N let best-direction 0
1 }. z8 `7 V+ x. S let best-amount grain-ahead9 e, y% M1 k# b) \$ _1 V
set heading 900 Q1 G1 |& e& K- u5 d1 o
if (grain-ahead > best-amount)0 E) ^: [4 H% j/ H( {/ y9 T- B
[ set best-direction 90. C$ r& G2 T' Q6 Z0 H4 l+ s, a3 L
set best-amount grain-ahead ]
; u! G* a, V/ [1 [ set heading 180
" v/ }( k1 T) B! g% |$ m+ [ if (grain-ahead > best-amount)
" s: _8 f4 D) W, a2 g [ set best-direction 180
z7 j, ~ g6 V0 y( t( u5 v set best-amount grain-ahead ]
( ~8 ^. S: Z# I" K) _% b set heading 270% _- k4 {$ S% C! F
if (grain-ahead > best-amount). n. P- ]! h" X+ v5 `! N
[ set best-direction 270
4 s+ P0 e8 V0 U0 D( @ \ set best-amount grain-ahead ]
* }$ ?7 l+ G9 z1 S9 x- I set heading best-direction( \5 @7 i: x$ Y
end+ g/ t u/ f( V4 b: E+ w8 l
. A4 @, W, t8 _
& W: Z# v/ @" B: T ]1 r+ ]
to-report grain-ahead
1 M, i7 o+ y! N, C let total 0
) L7 G$ Q7 u) s7 S let how-far 1
m1 |7 j! }7 D6 { repeat vision7 m2 `6 ]% K. @. H3 k9 h/ R( [
[ set total total + [grain-here] of patch-ahead how-far
' r% A( b/ _1 N; S' h8 `9 u! E set how-far how-far + 1 ]3 J0 m* }0 v6 Q: H6 U
report total
' C1 s2 [- C, k( qend
+ t" a2 T }/ C0 P2 N @: h" `3 v F, Z6 S+ J, L9 U" ~ P/ o' {; U
to grow-grain
1 W& d& F' Y. c if (grain-here < max-grain-here)
0 F+ M* [: f5 Q- G* B3 [; D4 R: a6 G [ set grain-here grain-here + num-grain-grown
0 W9 n. l$ b, A7 w9 ]# W8 ^' P if (grain-here > max-grain-here) : S$ @( _3 d3 V# }
[ set grain-here max-grain-here ]
) v B2 ~3 g& B T; X m9 G7 p0 i recolor-patch ]
- q! R4 Y {. [8 k( C* ]end
0 M# ~3 u5 t9 R# D' D* B' x7 eto harvest6 x# S' _* }5 m! P) U
ask turtles* W0 Z. b! f; k+ P+ m8 P
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
# a- y k8 {6 O. k3 P$ H* Z$ C: A ask turtles
) f* R: k" X' w* V" h3 x [ set grain-here 0
2 J; v6 j, g2 S recolor-patch ]
; c% [ {7 B S6 p & `7 S9 M4 C( ^
end W1 {& ^' D/ h3 u! B6 K' k
N: h& T8 M4 k/ O+ [to move-eat-age-die
& m; X' n! l! { fd 1# b4 }# B. c/ y' `& j- e7 W" c
set wealth (wealth - metabolism)0 v' Z% k- `1 E0 L
set age (age + 1)
) y/ A5 K( X. f0 ?- J0 j) c2 ^ if (age >= life-expectancy)* J* x& S9 _) q6 H4 F& T5 c
[ set-initial-turtle-vars-age ]
; _, B2 ?. U0 A: U m if (wealth < 0)" W3 j7 v7 q: E- T& W7 `) F
[ set-initial-turtle-vars-wealth ]2 v7 W2 i0 ^8 @5 F3 S
, K8 F: T- i* @ E
end2 d L' Q( q8 \3 O) a/ @
8 m( s& e& Q J( y3 G, n. p
( T$ A# q! D: ?! g
to setup-plots* w# M) e/ w( w
set-current-plot "Class Plot"7 g4 G" ^$ T" B Y, n5 B
set-plot-y-range 0 num-people( ~) k( g: Q0 Z, Y/ X+ V" p8 m
set-current-plot "Class Histogram"; j; `7 J' u0 _
set-plot-y-range 0 num-people
* M4 L, y- H, n! p( lend
5 b1 o* M4 m u8 k0 T* {% D( ^2 u$ p$ ?$ d
to update-plots
+ T5 w+ R0 c h- c+ C, V b( d) u update-class-plot+ f& [9 X" L2 o/ ~, I" G5 H" |; K6 G( Q
update-class-histogram9 c* t% V. I( O, c
update-lorenz-and-gini-plots4 D8 C) @3 @- z1 l
end
/ p$ D) s% o0 C2 j! N e
' s* G% N o0 C6 _& }to update-class-plot
& k0 b: u0 a: }/ o% W& K set-current-plot "Class Plot"
: N: p3 L9 D$ ^" D- u$ O, Y) N$ E4 k set-current-plot-pen "low"1 }0 v2 H5 w( ?6 [: z
plot count turtles with [color = red]+ i% `, {- c+ T$ D" w# i. L" V
set-current-plot-pen "mid"
6 I/ p K N; t. j plot count turtles with [color = yellow]! b$ ?4 [0 M" Q& Y( y) y
set-current-plot-pen "up"3 ^8 j* f% o4 [7 b0 i
plot count turtles with [color = green]
# e3 [/ F2 s9 {" H( a: b+ L9 E. mend& l: e3 E) r4 a3 x" w: P# t4 _
+ e# y" D( S4 Cto update-class-histogram- ?, ?( z* R! K- H5 d& e- E
set-current-plot "Class Histogram"
" g0 u3 y/ m, O9 @: p; h1 R plot-pen-reset
0 ~& m9 J# K! T: p" e ~; u" q set-plot-pen-color red
7 |; f' p. W2 s0 W plot count turtles with [color = red]% L) M# {$ n$ J
set-plot-pen-color yellow
& H S8 t/ }/ s plot count turtles with [color = yellow]: o# q/ S( \/ C$ `! l _, b2 M( M
set-plot-pen-color green5 f3 Z( J) s3 J
plot count turtles with [color = green]6 P5 r6 ^# O$ s% D c
end$ D( n6 n2 D. S e8 u4 C% L
to update-lorenz-and-gini-plots& Q8 x" I# p) a6 e8 D0 A9 o
set-current-plot "Lorenz Curve"% i5 M/ x, U/ k8 b8 A1 P8 x
clear-plot" K& [" }, O# a- O+ | v
' V, g2 S4 @: Z# T. J" ~ set-current-plot-pen "equal"
' w( m0 Y( _! X- i plot 0* r6 `' E5 Y, c/ s
plot 1002 b8 M6 T, ?, a+ K$ S6 _7 [; Q9 \
* m- k8 \7 ?* X+ S set-current-plot-pen "lorenz"' n) Y3 X$ u5 n6 E
set-plot-pen-interval 100 / num-people
$ x% W) a% y, p! T& C! Q2 d4 s plot 0
9 x* L7 \! M( p5 x' b1 \3 x) ?' b: |8 m& C
let sorted-wealths sort [wealth] of turtles
7 a7 {( u4 v) E- u0 i let total-wealth sum sorted-wealths
' C$ E! m- H" P. N1 n3 E let wealth-sum-so-far 0
- W( `; c% d% f+ k4 z7 A4 z let index 0
! l) y* B, u* | let gini-index-reserve 0
* d- p! X5 r% T" Q' c# A$ c0 p$ D" t; M, o6 f1 w
repeat num-people [
, {1 M) h+ {" e2 \! ]; v, A set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
! _$ x6 k" O9 x' T2 d/ v plot (wealth-sum-so-far / total-wealth) * 100
2 u! d# U0 I' w4 l( s+ X set index (index + 1)) Z! ]# d! c" j5 y' {' J
set gini-index-reserve
' g( ?+ ?. q: R/ Q0 q gini-index-reserve +. {5 Z1 V, |- i8 r% n" a7 P z
(index / num-people) -
" I9 t. p5 D% i0 ?. } (wealth-sum-so-far / total-wealth)
$ g) h/ {- ]3 g# L3 U0 A ]
8 H+ D& R! S4 V, k
% P( u( c2 ?& j) y& l; t, [ set-current-plot "Gini-Index v. Time"1 M; E K8 G5 k E
plot (gini-index-reserve / num-people) / area-of-equality-triangle
( L* @- n c/ G- Gend8 C3 ^+ i* Z* u! m# }9 W# e. @& ?4 M
to-report area-of-equality-triangle
; {% o- m* z3 i# `( o" X report (num-people * (num-people - 1) / 2) / (num-people ^ 2)* ~3 J/ u, `2 O: H0 F! z
end |