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# K( E `, Q) a3 m- [! t
globals
# J7 E' _: S V5 \* ~* v$ }[; Y7 }6 F5 K6 L& O
max-grain 9 ^# h# o# T' E! N" _5 h
, l+ A2 E/ |, j" }# d. G]6 T( c+ t. n J& b2 ?' i
; M7 G3 [+ p8 C/ Spatches-own
, n4 ?) N2 Q$ ~8 Y$ d- G[, _+ R5 T0 x/ E0 f, `
grain-here $ N( P1 i0 H/ {, _& z5 \2 s' N9 G# A
max-grain-here
$ l0 a3 r9 J! P" K0 [) I* @- j: ]+ H6 w]
+ R) A) t' E" w- T* o9 w/ p: k7 k/ b A5 H& o* m @1 Z+ Q- e w8 j+ T
turtles-own) D$ D" O8 k. B/ \4 j! G9 ~7 q
[* N+ |# J2 O1 \% i9 p
age
3 S- Y3 `" |" U& `6 t wealth
! Y1 o3 _# T, p/ G$ Z. j+ G; G# f; i life-expectancy
/ p. I! a& R$ G+ u3 G7 j% a metabolism / q& h8 J. ~: S
vision' j7 r7 ^9 o \3 \1 l9 I0 J9 l
inherited
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4 i+ X: H |& K4 f9 |3 Jto setup
+ j- J) j3 S M/ M& X3 f" T& e ca
! ?2 u8 n7 S( @. W' {+ s0 Q. I5 A set max-grain 507 e* J# S$ s5 ^6 t) o
setup-patches
5 y# f, a% L$ c( B% ?* J setup-turtles/ \/ J- V7 w' q- d
setup-plots
, N7 T# X+ K' f$ h: z update-plots1 p' s, J' {- h
end
. [: U/ T( R. V* |) o) V. }* Q& Y: I" Sto setup-patches( j3 m" `# S% n
ask patches, R7 j" J& q' w( y+ t6 h" A
[ set max-grain-here 0
: `0 `0 s+ M. ~& D* [7 e if (random-float 100.0) <= percent-best-land
) u, i% Z- o* g7 } [ set max-grain-here max-grain
( }) K* _" `5 N5 K set grain-here max-grain-here ] ]
8 g% w; m5 B& T( h0 [' U repeat 5
, }' @: m" Z5 f2 W- X [ ask patches with [max-grain-here != 0]1 h6 r, u: ?2 ^6 y! _7 a1 N
[ set grain-here max-grain-here ]9 Z: }: a, z/ K7 D4 ]
diffuse grain-here 0.5 ]
7 ?: n5 d# u; O; ?3 g repeat 10
. k! C$ t ?. Q. U S @( R [ diffuse grain-here 0.5] % M) H) L1 h1 l6 ^
ask patches8 M/ b k- [; l* @& @4 A5 E
[ set grain-here floor grain-here $ e- ~$ w4 o- r
set max-grain-here grain-here 8 |4 X' q" D% B$ L5 m4 E$ _) L
recolor-patch ]# u1 S6 F9 E' O, d6 X
end8 v1 w; \5 Q2 y/ K$ f+ d- V
to recolor-patch 1 s' s( Y( t2 m: l( N
set pcolor scale-color sky grain-here 0 max-grain
4 o. w" c9 ~5 O$ S4 x6 jend
3 }2 X Q( o( H; k5 I) Oto setup-turtles, X0 h9 y3 T% y" H2 z
set-default-shape turtles "person"
- t& G. R1 Z4 G. _ crt num-people3 |" `0 D8 R/ |$ ?3 I
[ move-to one-of patches & g! z$ T* g, T1 v+ a2 O$ [! J
set size 1.5 9 w2 T8 M; F" b; M* ^0 {5 l& {
set-initial-turtle-vars-age
k; f- [7 N+ x" }. a4 k set-initial-turtle-vars-wealth6 u7 R* B0 A8 I7 W6 u% M p0 O, d
set age random life-expectancy ]
: e8 a. t& |" ~3 c3 t recolor-turtles6 w% `' n7 P0 n8 g" B' F
end# d7 O0 p5 G" V* v/ M9 k/ p% T! M
: F9 K) [$ R4 s8 l
to set-initial-turtle-vars-age
* C q0 [! K' Q, [0 p& N let max-wealth max [wealth] of turtles5 @/ m( S) l$ h$ J9 p0 O
) n8 H6 O* f9 d' O9 F3 ` ifelse (wealth <= max-wealth / 3)
% ?7 g/ U8 i& ^6 \" ~7 O% c* I7 m [ set color red $ m% x, z5 J- H; ~6 T/ \4 X, k0 l7 J
set age 0, V u2 s( h7 u
face one-of neighbors4 * E4 N* H8 s0 E; k, b
set life-expectancy life-expectancy-min +
4 |% e* I) t' s3 d random life-expectancy-max " m% }9 j1 }* n% c5 _! f F6 M# a
set metabolism random 1 + metabolism-low3 X8 l* n$ W6 l- }2 B1 V7 W
set wealth metabolism + random 30
, J5 q6 P1 g2 v2 Y0 U, C set vision 1 + random max-vision; [8 g1 c) [3 c6 R; E1 [2 v
set wealth wealth + Wealth-inherited-low ]/ b8 c- e9 D8 Y7 M) n
[ ifelse (wealth <= (max-wealth * 2 / 3))7 @) |! I/ F" Q/ R
[ set color yellow
' f+ v& t+ n. W4 G( D0 s) O set age 0) Q8 I- D5 [* R2 z6 }- t. b
face one-of neighbors4 & H" e7 y0 X# D" h8 N9 x* T$ a- ~
set life-expectancy life-expectancy-min +
+ s2 E+ [$ Z* J% k% b% ^ random life-expectancy-max + 1
+ L+ H3 C, \( w# u. c D& w set metabolism 1 + random metabolism-mid
. S* z! J5 }+ j8 E set wealth metabolism + random 30" u% z( s& o2 }8 ]/ t. q0 v' I M
set vision 3 + random max-vision
* l, s: C0 u, @( H6 f6 d# V set wealth wealth + Wealth-inherited-mid] [ N5 v' C0 `& U
[ set color green ; z! u; p6 f# m$ P2 ^/ {9 H" ]
set age 0* \3 c# v/ r% S
face one-of neighbors4 ; h' B! j- F' {
set life-expectancy life-expectancy-min +7 _/ g. ~; V2 _( r* z! }
random life-expectancy-max + 2
+ E& h+ i* P$ ]% C4 e' h set metabolism 2 + random metabolism-up
) [+ ?/ ]) t7 g" h5 P: @ set wealth metabolism + random 30) W% ]! Y o) G1 ^, X
set vision 3 + random max-vision
' M8 e$ l, H w set wealth wealth + Wealth-inherited-up ] ]
& T9 k9 n& ^" S, L5 M, c$ d
: A5 o' p" h. \7 ?5 B/ O; L0 `3 Send
8 d( |6 ^. Z0 K j& lto set-initial-turtle-vars-wealth9 c6 G: f# Z; W, K" Q: f0 K
let max-wealth max [wealth] of turtles t- y0 J( \+ @. i+ N
set age 0
- M7 _1 J9 @5 S5 c% v face one-of neighbors4
$ A" G) d! o0 Y g& B7 Z set life-expectancy life-expectancy-min +
7 I" E5 G# w4 n: ~- ~- o; g random life-expectancy-max " g) r! k' o( x7 v/ u+ O: @
set metabolism 1 + random metabolism-up
i+ T$ {5 J! o7 A2 H set wealth metabolism + random 30
1 j8 y1 g+ h8 g8 M set vision 1 + random max-vision 9 T0 A( C* P+ \" q
end
/ @5 X9 t7 W0 S" e, I8 |9 g* O5 Kto redistribution
2 ^% o6 a/ }( U2 A6 G9 ~1 L; Z! y" elet max-wealth max [wealth] of turtles: A* n* W2 S( k7 K) J
let min-wealth min [wealth] of turtles
& l! b( R3 y5 P) x; W- Eif (wealth <= max-wealth / 3)' K# \( b3 E# K* M9 U8 J9 G+ |, A
[set wealth wealth + Low-income-protection ]
4 Y3 y' u1 z8 b# P9 K: k; Qend8 x- [0 C3 p; r# L3 o' i
( t, a' z' ]# V3 qto recolor-turtles
# j2 Q1 B1 Y6 A6 q2 p! D let max-wealth max [wealth] of turtles
0 ]# l" E& g/ {$ s4 t ask turtles
4 [! ^; t1 z/ u7 m1 I) W [ ifelse (wealth <= max-wealth / 3)- g6 a5 V5 M) w# d! _' v; H! _
[ set color red ]
# G0 E( l. l" z2 k [ ifelse (wealth <= (max-wealth * 2 / 3))3 h& ^. I1 \2 h8 F5 _' Y
[ set color yellow ]
9 Z" v. [% f4 ?9 C% ` [ set color green ] ] ]
: o0 C* Q$ O2 X4 h: w ask turtles [ifelse show-wealth?
/ @/ O$ h- @. ~1 ^ Y- b [ set label wealth ]
$ M8 ?* N3 ^& r& @ [ set label "" ]]" a) X# K& _& J' ?# v
end
$ [$ O* _3 n/ _/ l+ T. P
2 j- L0 u8 X$ `; k3 ]) Xto go1 {+ K; b6 R# J Q* o- H* t
ask turtles, m) v( U: ?: w/ E
[ turn-towards-grain ]
. E# ^: _& N. x3 q$ ?' r( b harvest# f0 j1 ~1 g( |' W9 r' {* Q
ask turtles1 C: Q4 z, }& [) r% H* z) X
[ move-eat-age-die ]
: C1 n2 Y5 \9 Z3 D% T; n; | recolor-turtles, L) `' v: \" N: ~2 I* T* T
if ticks mod grain-growth-interval = 0% f' b) e; c4 y5 R: M# l: l
[ ask patches [ grow-grain ] ]
6 _, o+ t. n6 n$ Z1 S7 l" R; W 9 D6 l& j" l& L9 O/ L+ E% Q5 S
if ticks mod 11 = 0! d- k7 L2 |/ v7 |( c1 ~( H
[ask turtles4 F, I& V( J* T0 j; Y( {
[ redistribution ]]
6 Y6 }. r$ U" D; ?: t+ u if ticks mod 5 = 04 L# U. B9 p1 G* x' g( i& z4 L
[ask turtles
r# \: m2 B" U% `: f2 Z [ visions ]]0 o/ X$ p# L" u, E; E7 J q+ ?/ _
tick8 x8 G# B2 t3 V3 U# n( m
update-plots: u b3 z: ~( A$ Z$ p
end
' ]& _5 W7 \* S; D% P- cto visions; r, x1 X7 S) i- q+ F: q0 R3 j
set vision vision + 1
; c) p% N3 a: f- Qend
4 ^0 @! ?) E0 v0 x6 N J4 g* ^" }8 {/ Q4 P2 h
4 M; w$ ]8 ^* z
3 ^7 o) Z& t+ i+ ato turn-towards-grain 8 w: H% [$ g4 a% S4 n! }
set heading 0
3 S3 |+ T n7 \/ }8 N4 _ let best-direction 0$ s. D( ^& ^+ d5 [/ g
let best-amount grain-ahead: X# d& A5 Y Z0 E$ ~' |
set heading 90: B# o: y* @& d. V& G2 [! a1 S
if (grain-ahead > best-amount) g4 K* M' W D* }
[ set best-direction 90
W; E9 D; V$ X- R v set best-amount grain-ahead ]! ~0 U, Q3 |/ U3 G2 _
set heading 180
& X% u X/ Q* y; A" W. L if (grain-ahead > best-amount)! ~9 U, J! Q" K- D, w3 t J
[ set best-direction 180
5 u, ]' n" z$ m2 {( l set best-amount grain-ahead ]. w! [( s$ q' V) V9 n
set heading 270
6 A1 ]$ r/ _, P8 E if (grain-ahead > best-amount)
8 {" U! H& I3 s4 }; J8 v [ set best-direction 270( Q; ~* P# n' f1 a
set best-amount grain-ahead ]$ B3 K, j7 N2 I
set heading best-direction
* [, A4 g' E" o* ~( Cend
/ o& X; ?5 R- S5 D) q j3 G6 e' |( Y0 U' O
0 j# h6 S) e7 S4 z3 F
to-report grain-ahead # T' S7 P; f: o
let total 0; y. g1 O \/ P
let how-far 1; U/ U$ `8 n% _7 @8 r. J6 w
repeat vision
3 P) b6 }/ m5 S$ \- C+ R [ set total total + [grain-here] of patch-ahead how-far% U/ n6 O4 Z) P1 C) w( z
set how-far how-far + 1 ]! B; A- O5 p8 x6 R5 e
report total
, m1 Z- T: \5 b2 u1 a3 l1 P( l! ^$ yend4 D% D' V% p. j9 C3 v$ |6 v# O
$ G0 o ?7 k; B' v
to grow-grain 1 u8 K9 W2 u2 ~! s; _
if (grain-here < max-grain-here)
6 _. V$ c3 H. z5 q [ set grain-here grain-here + num-grain-grown- W+ H- r3 j" t% X% X) _8 Z' |. D: Y
if (grain-here > max-grain-here) $ o, Q6 W4 @* b" U0 W0 d) U
[ set grain-here max-grain-here ]
) v1 [, B- |1 `7 J recolor-patch ]
# t+ h. {; L2 Z; {1 Kend
& b0 S5 g5 q" j; {( ^to harvest; F2 [) z$ A3 ^" s k: V
ask turtles
# F. D h, j$ p& p: @$ N [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
; z' \+ m, P4 w3 h, ? ask turtles
/ k0 ~" ~1 D R X [ set grain-here 0
G% P6 G" W: C: o recolor-patch ]
3 X. w W% u$ B: X% N. n! l Y ! i6 l4 p# ?3 P h; o! l9 l
end- T8 f$ V! m- z5 R1 K4 m
+ `- q* i! S' B# Y; b4 Kto move-eat-age-die $ r5 r% I( d3 m$ F9 _+ Z- D
fd 19 w% I; l* p) @. b$ c. u' C5 j7 b# A9 t
set wealth (wealth - metabolism): y* e& J8 I: x* O8 V9 o
set age (age + 1): ]7 `$ ^* i( t- D+ H9 r+ u
if (age >= life-expectancy)
2 Z8 D! ` d1 ?2 X5 @" v [ set-initial-turtle-vars-age ]
; _# ^! p* e; t( _9 D" I6 _ if (wealth < 0)
. z$ l: }, J) ~$ `; T' l8 V [ set-initial-turtle-vars-wealth ]
" w+ X2 i, K" L/ t' a/ e ! P( h- s' X# V# {9 t% u! H
end' R2 x8 K. A; u1 p4 d6 p' P
- t# G0 ?! Z/ s8 ~; V3 S& Z1 i- c4 K! y
- n k: L h7 Pto setup-plots* F7 C* f8 t( F' t* B5 N
set-current-plot "Class Plot"
/ q- }7 K1 e6 _7 I! c7 k set-plot-y-range 0 num-people% a- p. j+ n7 ^- Y' P! ? A
set-current-plot "Class Histogram"! w; D" C# k; S: t0 V
set-plot-y-range 0 num-people& h5 i- c( N) ]' D+ Z0 @6 r
end
: s9 o0 p; S) X7 Q" ]
7 j% U, ` h9 R4 Q* `% u B1 u% tto update-plots: e5 f3 N/ N) c# O
update-class-plot2 z2 V( [6 m6 c1 v: u( V; ^- H
update-class-histogram
# z {3 s' c3 }1 o update-lorenz-and-gini-plots
& e) z2 h& {# z K, qend8 K( C& B$ [- F8 B4 _/ Y! b
3 c# Q/ Y2 \1 X& o$ V7 r0 |
to update-class-plot; z1 F; T3 _5 L D
set-current-plot "Class Plot"
0 @" n4 B$ S ]2 ~4 T" E set-current-plot-pen "low"
- _" y. x3 }4 x. w& U0 ? plot count turtles with [color = red]
, a$ l8 {$ O/ {' l, H" u set-current-plot-pen "mid"! F& Y/ q- F; D4 S# E
plot count turtles with [color = yellow], Z: N8 v: } W
set-current-plot-pen "up"' o2 I# _, ]3 J9 p: X
plot count turtles with [color = green]
& B% b- ~: n9 C$ F/ o$ dend" A0 q; J% E; Y
- X& D6 {2 ~! I- b! T% v4 V
to update-class-histogram
7 T" l0 X4 ~, W+ R* s' U set-current-plot "Class Histogram"
1 k4 e2 X6 i. ? plot-pen-reset
; w G5 }& j( a% Z( e set-plot-pen-color red, `1 {4 u- U2 `- ^0 E( {! c
plot count turtles with [color = red]
' ?6 |, ~+ ^" E8 Q& e3 b set-plot-pen-color yellow, `+ U$ u. O- ?: u4 ], o, K
plot count turtles with [color = yellow]
7 s4 B5 J$ i, P: {0 t! c5 ? a set-plot-pen-color green
. G. L: J# V5 X plot count turtles with [color = green]
& E7 {- ?8 `/ x0 U3 xend* j4 b. g* Q3 X# m: ]: y
to update-lorenz-and-gini-plots
9 c2 c7 j& ^# i& D9 v set-current-plot "Lorenz Curve"2 Z2 t' b" R, K. [- V1 @' {+ }
clear-plot, \# I6 B/ }; @+ Z0 t& A
, V% g3 y5 @+ D8 D3 v Q
set-current-plot-pen "equal"; P n; F; e; {
plot 08 l" N0 y/ v! @& U1 J) V
plot 100
# j' a l% \3 I+ v
% w' o6 a R& A1 q8 ?8 h# F set-current-plot-pen "lorenz"
# O4 ^& P/ _4 n8 i; O8 j3 x set-plot-pen-interval 100 / num-people+ `3 S2 N9 b2 X# T7 D% D5 b
plot 0 ?+ K, I6 E5 |' R; c: F% H5 a
( K0 Y2 C, s. l& ^. e
let sorted-wealths sort [wealth] of turtles
, A. C% S; x t! t; a let total-wealth sum sorted-wealths
s9 c; X; M, ^8 | a) f let wealth-sum-so-far 0
' T9 K" g5 ?7 e7 z; U5 ] let index 0
+ ]8 c2 ?& M/ w0 L6 { let gini-index-reserve 0
) c/ s4 r: K4 X( [4 W
7 \! ^9 \% J) B; z% E# O* G repeat num-people [
( ?6 ^, T9 |) [8 ?7 C' Q; | set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)1 ]$ s5 T& j6 O! s# f# C
plot (wealth-sum-so-far / total-wealth) * 1007 z3 v/ p' Y" P8 |" e' Y
set index (index + 1)
, b; j# A. E/ E2 y e4 M* ~ set gini-index-reserve
# I* J$ D( _1 ^) K1 S5 h) c gini-index-reserve +/ S5 X0 B' ^. I
(index / num-people) -% t& T, a* C2 f. f
(wealth-sum-so-far / total-wealth)
& p/ p, E" k. S ]+ [: K! @& d P8 o, w3 V) p
, k N$ P3 j) L' u6 s4 a set-current-plot "Gini-Index v. Time"" [- W* b5 N& {% L
plot (gini-index-reserve / num-people) / area-of-equality-triangle
. ^! N- v3 |, M5 u" i0 ^end
5 y1 r `- w1 n" Bto-report area-of-equality-triangle
3 V$ w! w; s% C' ?* n report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
4 t' `9 i" r, l' @ }" _, @end |