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 S, X( S# W, g8 v- F: g& \1 Mglobals
6 V- o% ^- J' d- f$ I2 L: k* Z[" z# V! L9 Y# H* s- ]: \+ E
max-grain / E% b+ L+ R2 {- e) I% A6 X* \
( a T6 C# @) H, r" q7 V
]
) s! ~, a9 [2 d) P
( y. ~ l$ M+ Z. jpatches-own
& V5 Y# f) C" `7 d Z[
) d( {% X4 n/ X% Z9 T$ ?6 s$ } grain-here % o' F8 R$ F6 i8 O
max-grain-here
+ {* G# r( d7 _. z3 ?]
. x- Q& R" M, `& K/ T+ \! F2 X+ Q, g$ u$ `3 r$ M2 z
turtles-own- k/ t# l. A6 y+ T7 n/ Y! I. V$ E
[' p4 e T& c" j
age
- A! `$ G( R3 l; W' x! j n' u wealth * J" c) a& U& A4 l) t- H* o
life-expectancy
& v% U3 Z% [0 v+ B+ I! N metabolism
5 Z3 r9 {1 J1 ^+ _, v* z5 a) R8 E9 {9 h vision
F; Y; s) N9 }0 W t inherited
3 D+ ^. p$ M( V]
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) G3 q% Y3 U5 R' O. Z/ Z
to setup
/ z+ J2 S9 \' U1 M. ?! Z5 f0 {9 h ca. N: Q2 q7 x+ [; t2 C6 E9 ]
set max-grain 50/ A& R' W, ~+ O8 X$ M( K2 Q
setup-patches
) G2 ] g# V, V) r; c; M3 g setup-turtles9 |/ h; a+ z: q! O
setup-plots
" T; G, s$ Y3 k5 L0 M0 h- g. c update-plots5 L- B7 D B; ?+ g, y! N# O6 M3 \
end1 b( x' Q) l/ \/ n1 { Q! O t
to setup-patches
# @+ I" m" \; k7 d5 i ask patches/ T. I- V; t+ Q% }! _8 P# @$ ]
[ set max-grain-here 0
$ J' q, v! w6 l) u2 v if (random-float 100.0) <= percent-best-land
) D* U6 q: I# R: q" L% K7 c [ set max-grain-here max-grain
/ d$ ]# y" z4 f8 M5 C4 Q/ u set grain-here max-grain-here ] ]4 d/ ]8 o! W x( r2 o1 q
repeat 5* Y" O# N# E$ U- W9 j/ a) |$ K
[ ask patches with [max-grain-here != 0]& D$ X# Z u3 K9 t
[ set grain-here max-grain-here ]0 i8 [5 t- t* y) h2 V$ {: k- ~% r
diffuse grain-here 0.5 ]
/ `6 r6 ^0 S* t repeat 10
, \5 L5 V' r9 ?# T- n6 f [ diffuse grain-here 0.5] , x3 P5 f" V/ L z1 R- l& ~. K
ask patches, a" c. J, c# d7 y
[ set grain-here floor grain-here : e! w1 j9 w& r, b( Y! \, S
set max-grain-here grain-here
8 @0 Q* X! q" j: ? recolor-patch ]: @& W3 h) B5 R& Q3 y
end1 E) U9 C3 k7 I8 D6 o
to recolor-patch
8 ?5 g. C+ l* ~2 g8 C# x C. @ set pcolor scale-color sky grain-here 0 max-grain8 ~) E: b8 w2 D! @+ \4 I
end
' l& _, d- T. b5 B! h4 Z; b& }to setup-turtles) X3 }; k# U% _' U5 [. R0 |
set-default-shape turtles "person"
1 {. B5 |$ H7 A& u v3 G crt num-people
* W- }+ o4 O! A: p' t; ?3 y7 Y. E [ move-to one-of patches
; W( q7 F! f4 c$ {2 O/ S set size 1.5 : d# w! \0 w `3 w9 p! ?
set-initial-turtle-vars-age
+ @$ @$ T$ w! S$ x$ x- R, T5 b set-initial-turtle-vars-wealth S/ o( N) Z/ t( q' ], R6 \+ E6 ]
set age random life-expectancy ], H! ~+ J) v- K
recolor-turtles+ ~. a8 `4 |* M3 p+ h; @, F$ M& e
end
$ ~9 Z2 A3 C" Q5 b& p: @9 R' t& M8 h% t4 {; k% d* B( Q
to set-initial-turtle-vars-age+ [# ^4 g/ h T4 q% D- r
let max-wealth max [wealth] of turtles" g2 T }! W7 H
: e y0 x) Q" g ifelse (wealth <= max-wealth / 3)" ?, I* N4 M" G; b/ e. @+ V4 a4 A
[ set color red
* Q1 x0 x( i! Y/ _: ? set age 0
6 ]4 m) U$ G0 u. c face one-of neighbors4 0 r# c5 p$ g+ A- f( z. b
set life-expectancy life-expectancy-min ++ I# {! c+ B% v' O
random life-expectancy-max
, P4 Y. h$ C0 P* B set metabolism random 1 + metabolism-low- Q6 r/ m7 s; Y, ~2 s
set wealth metabolism + random 30
; c1 {& y7 z7 Z. R- g' @) }0 N set vision 1 + random max-vision( N2 w+ G- F' H2 G
set wealth wealth + Wealth-inherited-low ]" l7 u* v6 X/ d# {% l& ^. C2 c
[ ifelse (wealth <= (max-wealth * 2 / 3))
) ?2 w! U2 C3 V4 C, D [ set color yellow
% |" [. \! A! P; E set age 0% A5 A- x9 {7 e- M
face one-of neighbors4 4 j+ K( L+ t5 @! J: {
set life-expectancy life-expectancy-min +
# }1 K. y" ^$ C0 ]5 C. \ random life-expectancy-max + 1- w( L1 ^6 C+ ?, b
set metabolism 1 + random metabolism-mid
, I) }0 w: R1 x. K) A set wealth metabolism + random 30$ S6 b7 K) i! Z- n4 G; N9 T
set vision 3 + random max-vision- K8 z4 ^/ l# n
set wealth wealth + Wealth-inherited-mid]
7 k& e% b7 d0 T! G [ set color green & A# n- E! R$ V) F- j, d' r+ q
set age 0/ P8 a, L7 R5 H8 j
face one-of neighbors4
* S9 W% `+ G" h& P# t: i set life-expectancy life-expectancy-min +
" t! g* }! c3 i' I: ~+ ? random life-expectancy-max + 2+ R- O! S% ]: Z: S
set metabolism 2 + random metabolism-up' G8 t' ]/ r- K! ^
set wealth metabolism + random 30. \$ F# I+ y: T) f
set vision 3 + random max-vision
+ L- n! X# T7 p: T$ t1 [; m set wealth wealth + Wealth-inherited-up ] ] 9 n2 D+ \. k' G7 c
: Z% m5 g& N. _4 ]
end
5 V4 W, J5 ^- B. t2 N: Jto set-initial-turtle-vars-wealth1 M, x7 Q5 `1 L' Y* A; f
let max-wealth max [wealth] of turtles
! X' S& I$ V" G+ D4 K3 k set age 0
* r. ^" Z% V! A; S: t face one-of neighbors4
5 u* k! d6 G8 \6 i# I set life-expectancy life-expectancy-min +' z& [2 k) T: o7 Y3 j M
random life-expectancy-max
s1 N8 Y0 }/ O# n: { set metabolism 1 + random metabolism-up! _2 T" B2 E& ~4 ~* `7 s
set wealth metabolism + random 30
/ {! {0 v( _, @1 g! N3 i set vision 1 + random max-vision
# v+ M& m" ^/ \. lend; i; f _( E% e) S. o' F! Z* m
to redistribution; L0 G7 A+ m5 t2 v
let max-wealth max [wealth] of turtles$ h0 F J) Z$ ~; x
let min-wealth min [wealth] of turtles* J, Q7 A! i: A- Q. Y6 n
if (wealth <= max-wealth / 3)
: f4 K) k# R9 C1 ^' d2 }1 [, i% _ [set wealth wealth + Low-income-protection ]- Z1 p8 W! u! b1 O: ^) {2 F/ E
end
5 K' @% A @& K# b9 X
5 E9 c0 A2 p: h- F5 }to recolor-turtles
. o: |$ P+ N. |5 E& }5 K9 U let max-wealth max [wealth] of turtles
0 k' L! V( Y, l8 s5 ~# p ask turtles
2 O* Q8 X" `' B% e8 q! r* N$ V7 m [ ifelse (wealth <= max-wealth / 3)
; b0 u' ~" T( b% T [ set color red ]$ f, J8 p; q! [" ^
[ ifelse (wealth <= (max-wealth * 2 / 3))) I, y! C: ^6 V9 M
[ set color yellow ]* {7 _- ]6 p) @: |6 r( `
[ set color green ] ] ]
0 C4 [0 u' l( x ask turtles [ifelse show-wealth? s6 l! j" h! |- q% k9 c& Y5 p
[ set label wealth ]- O d) M. [1 S/ \, n
[ set label "" ]]
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; b6 J* c4 `* I5 A/ y' h
to go) Y$ K' Q! i0 r, }( w2 t7 o
ask turtles
- Y' X' E4 w% C8 | [ turn-towards-grain ]
. |5 y# c, @0 |( G- o* s harvest
3 o- h$ H- {6 B% o7 z ask turtles
; y1 D) Q+ h3 g) P9 f [ move-eat-age-die ]2 L' e# c9 W1 d5 P. w. [
recolor-turtles
( ]6 u% L! x! r3 [. h1 J if ticks mod grain-growth-interval = 0* A2 i9 M" b! B( z3 b
[ ask patches [ grow-grain ] ]% P: b2 e' g, |2 ]
0 z# O; q" H" W: `( ~1 @ if ticks mod 11 = 0
( o3 X0 @ Y) A. Z* [ r* a [ask turtles' d9 c4 ~9 @8 Z6 D; t' M# i7 z
[ redistribution ]]
5 D' i x& f" f b0 F E$ N5 W' W9 t if ticks mod 5 = 0
2 ]3 k; [6 [+ G( E; x+ h( L2 G' q+ z [ask turtles
/ V% ?) X9 V1 b' S2 b+ u/ Q/ [ [ visions ]]
& W6 s H- [, j1 \, L tick
' U) s% d$ }0 i- Y) t+ J# @% _. t update-plots# `3 C/ a" W+ r0 N/ t$ u R
end: e% `- W z# q5 F
to visions. ~' `# N1 E& k3 b" k2 T
set vision vision + 1 $ D+ a; {% t( W, I
end# E/ h$ F) x1 _% ]# ?
8 ^7 s' j1 }+ G, B
9 A7 Z- o0 I2 s. C! b
: Q2 }+ Y7 w/ E. N
to turn-towards-grain
) z8 j+ |, C- g6 ?" p, \ set heading 0
( b: Q- T7 m' F/ r% [/ j# u let best-direction 0' Q# ^! u0 U# _4 J! ~; F& L& q
let best-amount grain-ahead+ s7 Z5 M3 F, j& x3 D3 |
set heading 90* n' I" ~5 g& @
if (grain-ahead > best-amount)* E3 f$ E9 r0 A4 r! K2 q) q
[ set best-direction 90
) y2 Z q7 a" | L* j1 K) K set best-amount grain-ahead ]; [4 v8 \5 l7 H: B3 L
set heading 180
- q; x; ?& Q. r H" s0 a: Q if (grain-ahead > best-amount)
2 i& [' X' i2 d. a, X [ set best-direction 180
4 g' s% l s v7 C set best-amount grain-ahead ]
* k6 v- u& J) ?' |* Q* b, I set heading 2704 G; u* C0 f2 E# k& k
if (grain-ahead > best-amount)( V, n! Y% q; U
[ set best-direction 270
' H/ L2 Q, o+ o# d H set best-amount grain-ahead ]( r( d7 S4 p0 @( }" m
set heading best-direction# T, }5 O; q: w F) g
end
7 J0 H5 N; d6 F
" V O: }6 ^+ x1 C9 T% P
& R B) {$ y0 tto-report grain-ahead : i6 E8 _9 G) R; T/ a* R
let total 0: u0 i( }& a* l% G! b% K
let how-far 12 E' O* N( y( T
repeat vision' b1 W5 K) ]( _$ D m6 Q4 {6 ^
[ set total total + [grain-here] of patch-ahead how-far a' s) W8 R. A+ `: r
set how-far how-far + 1 ]
! a& m1 d& X! V: ~/ f report total
, j/ z" h# v( _' fend: L; N$ o. G( H3 V4 T1 `
4 T& F$ Q+ U3 c% qto grow-grain
% {6 F- H0 d. C/ N$ T if (grain-here < max-grain-here)( o( E/ ]+ X2 G/ U, A, q
[ set grain-here grain-here + num-grain-grown
& S% ?- y7 a, N if (grain-here > max-grain-here) ) |$ T; d, R1 C7 s& e
[ set grain-here max-grain-here ]
6 B J7 W) S% U, D recolor-patch ] T, V: S+ e! e3 x& z; X
end
" V/ ^8 H) X/ s4 Q: J1 j2 Ito harvest9 m1 o2 M5 N" d2 ^, M
ask turtles/ x% Q4 O: C4 Z, C' m0 N
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
3 w! Z% `* @. @# |: ^) H3 _ ask turtles
7 w3 v9 o8 S" G" o; M [ set grain-here 0! G' p" j+ i, {# |2 z+ w. A1 A
recolor-patch ]' G5 B/ }6 p+ j5 `- @0 N
1 `5 K2 Y" j U7 A% B9 C/ a/ q* Y; \- j
end
+ S5 P* ]# E m, K2 P4 P1 W* J( P0 M, j3 T0 z/ J& W
to move-eat-age-die & c E, ^8 N( E+ z8 ^6 Q
fd 1
/ [4 D6 S& l$ p% Z( ?) F) a set wealth (wealth - metabolism)
$ F# l" O* _7 r+ {5 U( b set age (age + 1)
|+ Y# n/ b, y% v5 h8 f if (age >= life-expectancy)
* i. {4 N" a+ d! c( z8 {' n7 } [ set-initial-turtle-vars-age ]
; |+ O, D' x0 i% j5 N+ ] if (wealth < 0)3 m$ u2 s+ R. Q, J- e
[ set-initial-turtle-vars-wealth ]
- i2 _+ h3 l" n. J ' _+ T* p1 I9 I3 I
end
: V9 l8 I7 i. f+ V! `% v: r: @/ H$ g1 T" n9 d& {+ S* \
" Y- \$ U5 |" w/ Q' pto setup-plots; L4 u' w# t/ j% o4 v( [" }
set-current-plot "Class Plot"% K" p) K+ U. f
set-plot-y-range 0 num-people
' C* A- C8 T/ |- o set-current-plot "Class Histogram"/ w& b9 l0 ~: q' J9 G6 R3 h2 {
set-plot-y-range 0 num-people6 w9 b- Z6 k! k7 z8 w& s9 @$ V
end; J) ?2 Y& \ Q1 ~5 P. e) e
0 }& x! L9 Y' e) a$ _: ?to update-plots
* E" a4 @6 O1 v% b- b& Z+ f update-class-plot
: M7 K7 m. R3 r* P7 L+ D update-class-histogram, G# c; M. }; }8 |- a/ [- B
update-lorenz-and-gini-plots8 V4 v# N2 N9 R- L
end1 U8 M( ~2 f. K5 B: g
0 ^. Z$ W$ g' e; r: Q6 N5 Ato update-class-plot
) G3 o; r/ w3 O) W set-current-plot "Class Plot"
! d2 } c& S( d2 z) B7 Y! ] set-current-plot-pen "low"
+ M3 b# G S- }- }# t e plot count turtles with [color = red]
; e! F2 b' \- d0 q set-current-plot-pen "mid"3 o( l& i! S7 _1 W* N
plot count turtles with [color = yellow]
+ ]0 ?! [" O3 d; Q+ f set-current-plot-pen "up" |8 F! n, y! F, @5 I8 |' ?
plot count turtles with [color = green]
( m/ M _5 g0 q! zend
" z% l# Q. n4 `
" e+ L6 o: E# \to update-class-histogram
( b' \ D/ b" ?, X' @" V set-current-plot "Class Histogram"7 C( K5 E% ^! ]/ v, S
plot-pen-reset" j8 {& E2 p6 ~% E, U
set-plot-pen-color red4 p2 p4 Q3 c% V- x3 f# T, E
plot count turtles with [color = red]! N0 n2 ]* Q8 P$ ~: t' N3 X/ P: A
set-plot-pen-color yellow
. A$ w2 q% Q% ] plot count turtles with [color = yellow]
; \: w, |$ @( o) Y5 U; w$ b set-plot-pen-color green5 n/ l+ h4 \6 Q6 U0 @
plot count turtles with [color = green]* H: G( O( F+ v
end
" S6 @0 F2 r9 D: ~to update-lorenz-and-gini-plots
6 C- y# _+ z5 ] O3 Z/ |* K6 c set-current-plot "Lorenz Curve"6 t( Z, F" h6 S( i. Z
clear-plot+ ~) q% h k, p, |$ g+ a ^0 t
" s! d2 i2 G& c- z set-current-plot-pen "equal"& d; l& J `+ r8 A$ x% @
plot 09 z! M% ~- U" U+ f, ^0 c1 k3 @
plot 100
2 ]4 _% E& f1 o, D5 ^4 X2 X$ p
; X6 ^/ U* D7 @9 O set-current-plot-pen "lorenz"' V9 P' O: B; H
set-plot-pen-interval 100 / num-people
' Q! u" R9 p `+ A$ N plot 0
6 q8 U6 y$ O8 [" ^2 v: k' u d
4 u* c2 \* D- h" j let sorted-wealths sort [wealth] of turtles7 }- ]: x3 d, n1 ]) t7 \( ]
let total-wealth sum sorted-wealths
/ q7 I$ R. F4 V9 b0 \$ V3 ~ let wealth-sum-so-far 0( {& V0 U2 N) x- O; d
let index 0
. F% \! O, | J5 C$ l: p7 [3 ~ let gini-index-reserve 0
^: d) \. H1 v
0 @( T3 v7 t9 i8 y+ r9 s J/ y$ E7 ^ repeat num-people [, W- Y4 M. R! L) S( r3 \
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)3 i6 j8 \+ Z8 w( Y
plot (wealth-sum-so-far / total-wealth) * 100
2 v: D# V# C2 R. Q! _ set index (index + 1)2 Y4 ~! Z8 m/ {; g/ U* j
set gini-index-reserve
$ R8 W- Q0 m4 w M+ O& b gini-index-reserve +
6 T- k' {' F* x4 g (index / num-people) -: F" \1 y+ R" N: ^
(wealth-sum-so-far / total-wealth)+ l- l, J3 [" _0 J5 H
]
) @- g2 D! G: H# K: |+ a$ c, X- ^, n/ `2 U) L# j
set-current-plot "Gini-Index v. Time"3 V' C3 V. t. K& }) }/ p
plot (gini-index-reserve / num-people) / area-of-equality-triangle
# O( n( p: @8 }; d9 s6 |end1 u# n) t# M) O( Y r8 E
to-report area-of-equality-triangle
7 g7 \7 M6 a: }/ ^8 R report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
f# n3 E; T* t) q6 oend |