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. Y4 t- M" r' Aglobals t1 E+ V. \! _% q u5 Z5 D
[
3 o5 d4 `9 ~5 @ max-grain 0 t6 l# s) L9 z+ g0 u" r
( k i% Y2 C' A3 j3 L! y
]8 a; o; [/ y+ [/ i4 Z( N1 C; l% H
: a! V+ q3 \) p/ ~& Z
patches-own9 D/ K. t1 x' ~2 o+ l& L! R5 t
[% c% f: S* j- w. g
grain-here & Y8 S. a; {# u# J# f E
max-grain-here
, A9 ^' o2 `5 K, D% a]
% x) }+ p. K' `; W- W0 i( a7 G8 X) q
turtles-own
# K- q2 H- k& p! F[
- t/ g3 l( V. T: D+ p age # c5 T! Z9 _- k4 t* S! Y& O9 y
wealth
8 ?2 C6 s# O# N& C" d5 ] life-expectancy + L1 c7 o2 ?! Z
metabolism
4 o0 }; X" a, |3 a1 I vision
* J' T( ~' y j6 I/ E- s- b inherited $ r# w. E0 v T3 H; n6 x
]
! c/ S# U: |6 Y6 I& R' H0 l0 l$ q! Q8 G% l0 {
# I+ n3 Q- `6 U
to setup. y4 a2 e% ~# Y$ G! B6 O0 M
ca4 b1 @( c' Y2 q/ Q% d3 ^
set max-grain 504 f8 Y$ C" U0 P/ x7 b
setup-patches
8 ~7 \/ F4 f* {* d5 X) R! g: a setup-turtles; Z- ^7 Q9 P" P! q
setup-plots" _0 O3 x" t+ f" y: {
update-plots
6 ~9 L* h" x- h9 @end
+ r7 O9 M$ l# S0 h7 o+ bto setup-patches* o! _5 K: C+ u5 A' I8 f
ask patches
( x! D. j4 r9 g! Y4 b+ v' S- ]% w4 p [ set max-grain-here 0
1 D$ i8 b9 Z' ~3 i7 ?( ] if (random-float 100.0) <= percent-best-land5 k7 }. Y# ?$ h( g# `4 k
[ set max-grain-here max-grain' x0 Y% k6 o* p" |' l* w
set grain-here max-grain-here ] ]8 `% A' U' o6 b* s. ~+ {7 j
repeat 51 H: l6 h+ C3 {7 @
[ ask patches with [max-grain-here != 0]1 c. z, L. F U2 }
[ set grain-here max-grain-here ]! j& v4 ?8 h1 v6 F6 E$ \2 f
diffuse grain-here 0.5 ]
' e7 k. r7 X/ a1 O: d repeat 10
' x, j6 J0 P( m. R [ diffuse grain-here 0.5] + |/ e+ W3 F8 Q* I L9 ?
ask patches
, R: J2 g- ?# A# ?4 F. A' a; ` [ set grain-here floor grain-here
4 w* x- s O( D2 k( H) X+ ~ set max-grain-here grain-here ; k& \' @- M0 f2 {6 L: b/ G/ k
recolor-patch ]
, O7 K5 C) a/ `: xend4 J2 Y' c6 c: L* \6 X
to recolor-patch
1 X6 ^6 p0 Z+ I; F4 u set pcolor scale-color sky grain-here 0 max-grain* N# @, ~; s8 b8 }
end8 v% T/ V% J( T; N3 b" y2 v2 f
to setup-turtles
7 t/ B( X7 h! w9 [ set-default-shape turtles "person"
n( P* C \ L) i( c6 \ crt num-people7 @9 E' R6 `# s' b; J$ v
[ move-to one-of patches
: s8 c5 I9 K7 S set size 1.5 * k I! G! Y( x m# [
set-initial-turtle-vars-age
( d) K$ d2 L4 G' @ set-initial-turtle-vars-wealth4 H& X5 D! L( @' u' B
set age random life-expectancy ]
' V' ^, g5 g; T; [) J* _% ? recolor-turtles
1 n7 q5 b: `% ~' Q. Cend
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to set-initial-turtle-vars-age9 |: \( B, a( e( ~; D. z0 ]$ r2 P, f
let max-wealth max [wealth] of turtles7 A/ w7 d: D; u" C$ ~% O2 g: s. ~
2 P2 Z' a3 h; i- p1 \ ifelse (wealth <= max-wealth / 3)3 Q6 K: E7 n5 t9 a# b. R9 r
[ set color red
- u+ R, t) W( o/ M2 A) c* K set age 04 E! A/ q& B' E1 P9 Z+ v7 l
face one-of neighbors4
. F5 n" e: K, E set life-expectancy life-expectancy-min +4 H' F/ [. }) l2 i# z1 J- g
random life-expectancy-max 7 \2 \& x% v I5 Y- q
set metabolism random 1 + metabolism-low( j4 v- B9 s P' T! D, k3 s6 I
set wealth metabolism + random 300 ?/ Z% H0 g) a# h2 l3 @
set vision 1 + random max-vision7 n" ^& X/ q' Z% a" i9 l
set wealth wealth + Wealth-inherited-low ]
5 P* g7 d" A3 X1 |) B [ ifelse (wealth <= (max-wealth * 2 / 3)) z5 R0 I v- \
[ set color yellow ! B; ]" V' q+ m; F1 {! k( | M" A
set age 0
0 b# g8 }, c) M face one-of neighbors4
- g. _, Q* @0 K& V set life-expectancy life-expectancy-min +8 t( {, A- Q8 v
random life-expectancy-max + 1
% R( N& C+ T& n) f set metabolism 1 + random metabolism-mid
& w( \, m* Y3 r1 j; K set wealth metabolism + random 308 C& e3 s) U$ v: G2 O" n4 z
set vision 3 + random max-vision
2 p) }- Z8 `9 v3 p# S, x0 [ set wealth wealth + Wealth-inherited-mid]
+ W/ P5 E8 {% \+ f3 q: F [ set color green : J5 ?# K9 E ~' y0 o
set age 0
# L* L1 }/ y! e+ a) L8 ` face one-of neighbors4
/ @% ?* t8 ]% L" _* ]8 R$ _1 ^3 E set life-expectancy life-expectancy-min +% \- V2 n: k7 D& G$ X
random life-expectancy-max + 2
; k( }( Y! K2 I y set metabolism 2 + random metabolism-up
$ ]7 U( ^3 O# z$ }$ X set wealth metabolism + random 30
0 l. t2 L* A" w set vision 3 + random max-vision
& E }$ U# Y- ~! }6 a! O set wealth wealth + Wealth-inherited-up ] ]
" a+ ?. `. w3 @# F
" E' n) p' `+ Y- |. K, q7 `6 X0 I. Iend! O* W4 V( g+ A! [' T; l
to set-initial-turtle-vars-wealth# X& t/ } z) a, f+ m
let max-wealth max [wealth] of turtles7 M0 P; V" P: A1 M8 q% G, Y x# z
set age 00 E/ b& P+ l8 }$ o
face one-of neighbors4 % O8 |- t- N" u+ o
set life-expectancy life-expectancy-min +
% m: Y5 F& Q( B, h' P& L random life-expectancy-max
" {8 H, A4 I" m& L2 f# M set metabolism 1 + random metabolism-up3 s4 m$ g1 `) w5 ?/ W
set wealth metabolism + random 30. A& ^3 X) s% X" j
set vision 1 + random max-vision
5 \! E x9 t$ n4 ^. Z& Yend
. M7 T7 s1 z# a0 _7 @/ S2 k1 D/ ^to redistribution% P* v1 {. d0 _3 A, c& ^; w
let max-wealth max [wealth] of turtles
. c" P: j; M; ~" B1 x' qlet min-wealth min [wealth] of turtles; x" j4 t( F+ D/ `9 ~3 O9 X
if (wealth <= max-wealth / 3)2 W+ }( |' _! E' H) N1 S% C
[set wealth wealth + Low-income-protection ]( V9 ]- y+ N `. ?& \8 I4 m
end
! I2 R4 W. W# R % S" [8 x' _5 e& ]" b
to recolor-turtles. U8 q: \% z" }) F& u' w8 ]
let max-wealth max [wealth] of turtles
! g2 a5 {; l4 `4 n ask turtles! Q. F0 J* h$ Y
[ ifelse (wealth <= max-wealth / 3)
; L$ n" \( T( ^/ j1 k: c [ set color red ]- N! C7 X" k# [: H" F3 K
[ ifelse (wealth <= (max-wealth * 2 / 3))- D1 }1 y# n7 O7 k+ J
[ set color yellow ]
+ I* O- x4 B5 }' E6 v2 o# S [ set color green ] ] ]
& n: N# M2 x" {7 m% c ask turtles [ifelse show-wealth?- ^$ n2 w9 f# j% ]+ w: s7 F- t
[ set label wealth ]: e: R" R9 X6 F6 U% i( d. j
[ set label "" ]]
$ g; [/ ], j0 j2 F6 v1 _end
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to go. v; u; n, p& W, `! N K. ?* p# J& J( N
ask turtles. _: k h# E- z3 }) }8 B
[ turn-towards-grain ] * X' S2 t% M* F; _9 V
harvest
2 g: t# }9 F' l8 q) D8 R( y- ` ask turtles' H, e/ F/ s4 U5 C2 _# C; X
[ move-eat-age-die ]; M$ O' U5 d2 @1 y! _% t
recolor-turtles
, j) U+ N! u( M6 c9 C" K if ticks mod grain-growth-interval = 0
$ _7 M' Y5 f4 J9 T! V [ ask patches [ grow-grain ] ]
. t' [6 y8 D' O1 e0 g& q* L
" S$ @6 H& j6 f5 F! f if ticks mod 11 = 03 c9 { h( y- F: d) j0 t) F* \! J
[ask turtles
- k1 Y7 |* ~* _/ o5 F/ ~' d [ redistribution ]]
- v; d" ^( V# i4 W& h if ticks mod 5 = 0, Z2 H+ Q; n# [0 t8 G5 l. ]
[ask turtles
" @5 ~: ` G. C: y/ t [ visions ]]3 i/ K% H- ^& i; j" M& {4 c+ p
tick4 T+ o: n0 W @" L& F9 l
update-plots$ z0 y5 B$ L( K5 ~* w- D) m
end
9 r5 r) W& [7 _ m6 G& ato visions
) O8 Z( N, D2 ^( B# v5 {- i- J set vision vision + 1
) q. O' I) b5 a9 ?6 N' D5 k1 send
" S: i1 C5 m; {* r1 M% E1 N9 U# F2 r8 r( z
) Y9 p! W. H6 z) T: G- Y: a
% O2 o# s) b* Y8 }8 y# ?' ato turn-towards-grain 0 w% n: F1 D: n: I: N3 F; g _
set heading 0
Y) [* p: e! V" F$ V2 A let best-direction 0
6 T% ~( q( g. }( L/ ?4 ?8 s let best-amount grain-ahead
! ? e$ Y0 i( `/ D1 A+ J set heading 90
3 h) f2 a) P7 o; T, S3 r' L if (grain-ahead > best-amount)
, Q; O9 `7 E" z6 v" M# v [ set best-direction 90
' M' {. O4 R+ p( e% Y/ i set best-amount grain-ahead ]
2 U: B& t% p$ J5 w2 F set heading 180
8 m+ X8 H1 f5 `- T) _ if (grain-ahead > best-amount)
9 c! }# V8 Q2 ^! K' C4 W$ Q2 z [ set best-direction 180
. z5 Y7 X7 x/ _ set best-amount grain-ahead ]: I* ]" B& z5 |( n1 [+ O
set heading 270. I9 C5 I+ S. c- _& F" y! Z' x/ s* Y3 O
if (grain-ahead > best-amount) p* Q7 W3 t( L( j6 ], y- }, ?6 M3 X
[ set best-direction 270
9 e1 R7 l) q0 X. s( p set best-amount grain-ahead ]. T9 T$ m* w' r7 S
set heading best-direction
* i+ T) C$ V/ U! `end- ?, f( A( E* H5 q& k; Y- A
5 Q) T. ]7 M# P7 u* @2 t0 n# y
7 P; k7 K' w7 \: ^, X2 f9 Uto-report grain-ahead
' [1 X; H# m$ [( a S( L9 ^ let total 0
, E9 R; G( O. s# l5 Q: u( s0 s$ r let how-far 12 G" L1 |$ F4 [
repeat vision
# H5 w8 K+ e4 i7 e W& Q4 @- A Q1 ? [ set total total + [grain-here] of patch-ahead how-far2 R4 u) n) V' F* H4 K# v
set how-far how-far + 1 ]+ s+ ~- S' E9 S' d
report total' |' k; W- p. m, o; p5 I5 x: N
end
: \) n9 v5 u' q; F, w e7 [& l4 h! o+ [; K# k" s# o" B" k3 W z) S
to grow-grain 3 w% m+ z4 U3 _6 X2 ?" d. a0 A
if (grain-here < max-grain-here)5 q" ^2 D7 v1 J. a
[ set grain-here grain-here + num-grain-grown
$ I) U% e* e: x( f) r if (grain-here > max-grain-here) # O: Z3 H% b, S4 |2 o6 e
[ set grain-here max-grain-here ]
+ @5 h6 l! g d& j6 K E9 O recolor-patch ]
, a, I. j D6 i7 w! ~4 u8 H xend( I& T% Q# ]* p% e3 ?
to harvest
* r& J& q- J, J ask turtles6 x- M# y' d3 B$ H4 t
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]% d" L8 _7 f2 ]/ R- y3 c- o
ask turtles
( [& k% M" j3 g+ q& e [ set grain-here 0
7 `0 Y6 C8 a) x- l# `! ^3 p recolor-patch ]
4 c. S4 f8 ~; C
# N* ^) }; ~2 {) g5 U. kend
7 X& D V6 q8 z7 M- D
# A% h1 N* \1 k+ e, nto move-eat-age-die 4 D* [9 u. [2 }" E
fd 1
' \: A! R# h) t+ s set wealth (wealth - metabolism)3 f3 i) C9 E4 Y: w o
set age (age + 1)
3 |; }" O2 H- X& U0 T9 v4 W0 [% B if (age >= life-expectancy)0 z9 a! z. r/ ]. _ j
[ set-initial-turtle-vars-age ]* g) P# q- j+ Q2 q
if (wealth < 0)( B8 f. E1 |6 u3 F$ P
[ set-initial-turtle-vars-wealth ]
t; M6 O6 F/ l4 b: _ 1 Y. h4 N2 f, F$ ?2 L( b
end' B0 q J: e1 N N
0 i) Z. U( a! Q ?$ w- Z/ {
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to setup-plots
5 @" `$ Y" w# ^ set-current-plot "Class Plot"% U, j# @; I! K
set-plot-y-range 0 num-people
* ?% g; g5 b2 D* G" A+ P. \, _ set-current-plot "Class Histogram". n1 Q' f& v b( O$ j6 O
set-plot-y-range 0 num-people
' r o/ f2 r# Z' J" y; ~end
3 b7 U5 k; @" }9 V L9 i* Z2 k J$ E7 C1 R" l! J
to update-plots/ F2 H- S+ |# R4 d/ \1 \
update-class-plot1 S m- X' m2 Q J
update-class-histogram$ S2 ?+ ?0 g# E4 i/ _- q* }
update-lorenz-and-gini-plots
- c# ?# B( a& Send1 Q: P6 ^' u: H! w
& \; B& i. X7 U0 _6 [8 r& r
to update-class-plot- `- U7 @2 ]2 S( q0 w6 _& E# e
set-current-plot "Class Plot"
$ F% Q8 @- x, |, g. V9 b set-current-plot-pen "low"
/ X0 p: u$ n- x- U8 B plot count turtles with [color = red]; r: Y0 ^( f7 @/ A( J6 U. \' E
set-current-plot-pen "mid"
; q% R7 i1 ]# `* n3 d+ J plot count turtles with [color = yellow]) i9 q6 E1 J3 w5 s* f- w
set-current-plot-pen "up"
* j2 N d# I- s1 i/ L plot count turtles with [color = green], z+ f: r5 D6 d0 T
end- D2 k* s4 s2 ^% y
1 v) [4 ^8 g+ w& L7 c8 R3 E
to update-class-histogram
8 U* D! Y; J" g( b8 @2 T* ]) u" h set-current-plot "Class Histogram"
1 S* T6 d& y% ~% w3 g8 k plot-pen-reset5 W% d, w" S; l4 l% Y! t/ [1 G
set-plot-pen-color red7 b. `# F2 i' \" ^
plot count turtles with [color = red]# y! U) T8 N8 h
set-plot-pen-color yellow$ q! n' p h; z, c; Z1 V) |7 d1 ?
plot count turtles with [color = yellow]
2 p3 F' j8 P, [* D/ j0 Q: g set-plot-pen-color green& |9 V' ?. a- |8 Z/ |
plot count turtles with [color = green]4 B0 i# W3 i0 A* B! B
end
# ?, ^2 ?7 a8 E0 s% I8 s5 B; uto update-lorenz-and-gini-plots. Z) O% @# U' i, x& ]; u
set-current-plot "Lorenz Curve"/ @% K, Z4 n5 H! D, L; r
clear-plot
* b& [; H; c) s) ?2 g
. H M& s6 y. U6 \" l2 e set-current-plot-pen "equal"
! Q7 t' ^4 v% O: r plot 0+ @( j2 {8 V' @6 s1 v7 U: u# j+ a
plot 100
- _4 q. D! n+ e6 ?6 E1 z( s8 o
& O1 z/ O9 U" a1 H; j set-current-plot-pen "lorenz"/ _$ y$ h* J1 T; |$ c
set-plot-pen-interval 100 / num-people
0 C2 k* r. Z5 H/ ] plot 0 D2 T/ I. D5 m* z
6 F& {( o5 Z7 J; C/ @# z
let sorted-wealths sort [wealth] of turtles$ @3 E- K7 @9 |3 q, |2 `$ a2 \
let total-wealth sum sorted-wealths. R5 d# m, U# r' Q4 {6 z* {
let wealth-sum-so-far 0: w9 f9 m# u7 [9 e
let index 06 h0 a" R: U4 t4 \0 ~/ F) K
let gini-index-reserve 06 m. @) z8 G5 |4 {4 R1 ^0 N9 f f" j
- f' y4 m# I( R y
repeat num-people [
* `* z) P0 A7 k% k set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
% e" v3 D. M( o plot (wealth-sum-so-far / total-wealth) * 100
| x: r( h4 C. _) O' c8 ? set index (index + 1)- p2 R$ X# ?% ]1 a' E/ [
set gini-index-reserve
# Y, a7 h8 a0 a# n6 {" F) b/ T7 q gini-index-reserve +
8 c x+ o- ~9 D% ^0 o; H (index / num-people) -
# r6 F' R- }2 |5 A8 H; O2 H. A (wealth-sum-so-far / total-wealth)
$ a1 ?5 V2 }2 p, a8 v7 }$ J ]
5 }5 w* w4 ?1 K* D# c$ k. F( _2 L$ c& {! z# m# x
set-current-plot "Gini-Index v. Time"* J. i) X2 L0 r
plot (gini-index-reserve / num-people) / area-of-equality-triangle T1 C8 z4 {, |8 G: c
end
' ^2 `7 {: ]6 C4 i7 m7 K; ^5 @to-report area-of-equality-triangle2 v9 k7 U- B; P G4 G& r3 H* |
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
1 o1 `0 v! @: M2 z" |4 mend |