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
3 U F# ]: s& X+ V/ O# ~( B1 ~( \globals" A; C0 L B$ x. \/ e3 _3 D- Q
[
2 r- _7 d2 r" _: k4 p max-grain
t; T: b. ^# I- }, ?+ B$ u3 u& r( H, W6 H
]
$ U, C3 U, e0 ]1 y( y& P( `, ]' H" d
7 P' I/ L- z8 w# `8 B, }5 l9 Opatches-own
" _6 G9 Q( E/ f0 n1 o! x8 V1 ?# y[
% z3 q% H5 N8 j' e' ^0 _ grain-here - V9 I4 ?0 s4 S8 t, ~% M
max-grain-here
) A" }, W) @9 \/ J: M* E9 ?]
2 ~6 ^7 i% I! k8 W! M
a* p8 [2 w5 R% J1 e' ~turtles-own4 {: c" [: X z* `9 I* i' u
[
/ v% J0 `& e P% t3 @' Z# z age % i+ m7 H$ X. p1 z
wealth
- Z2 _2 F& w4 p life-expectancy
/ N P6 C9 |$ @9 {2 K+ b! N9 k metabolism
( B3 S) e' n# v# f4 K/ k6 j. G7 { vision
; m5 Z2 G6 {# p: ]" r2 n2 O0 X inherited
. N, H, s1 H. Z]
: n0 {3 Y9 p& N' u1 n; Q& s9 G% C+ y( R7 K3 o2 d2 o0 k7 H
4 }3 v3 @& P$ a4 H: r" p" u- Vto setup; M6 c& n+ n# p2 h3 g3 ?. C4 G0 s
ca4 m! _9 F4 ~ s. T4 V6 t( {3 \
set max-grain 50" j# D) X7 N* b1 d" P2 [
setup-patches
* Q' k( q0 W/ m. Y setup-turtles$ o7 i A2 |7 I6 o, F& a
setup-plots
: k+ U6 c1 ?& Y3 S% L( S* r update-plots
% T0 w; W7 E5 @; B7 Bend: K1 B) }7 ]' Z7 x
to setup-patches
1 e' V; N! Y, [+ o5 p3 C ask patches- Z5 V/ a" T! _
[ set max-grain-here 0
# W3 K+ c2 g8 i; q if (random-float 100.0) <= percent-best-land
; R4 E$ N# w4 O% K$ `% k2 x7 a [ set max-grain-here max-grain8 u8 E! r4 L/ B! O3 q
set grain-here max-grain-here ] ]4 D) d( B r" O
repeat 5
% Q( c; ^7 f' F) a! P3 n- G: A; y7 d [ ask patches with [max-grain-here != 0]
5 I: X9 l5 q6 o3 M. T& \ [ set grain-here max-grain-here ]4 e% s; [ A# L |- [
diffuse grain-here 0.5 ]
* d2 S- l) t/ D0 R2 k }/ B8 b repeat 10
. \8 S$ V( I2 m$ s* q [ diffuse grain-here 0.5]
" K1 L" s( x) _0 _8 [. G ask patches
; v2 T( n. ^( Z% F5 i [ set grain-here floor grain-here , [; b: @9 F8 j$ r- s* X! h$ z
set max-grain-here grain-here 0 h8 ? N0 }5 b, ]
recolor-patch ]
. v+ R/ j6 e& a9 K+ H$ w( D9 jend
) C1 r8 z6 x* x0 @) ]7 x- gto recolor-patch
& Z- }" f# {1 j, q: d set pcolor scale-color sky grain-here 0 max-grain' O, o, C2 N8 T) A# `7 t5 J
end+ u9 B1 t a+ h3 t2 t) e1 k
to setup-turtles
/ |5 O4 u+ ]" ~* T$ P k2 } set-default-shape turtles "person"1 l9 k# v' h, s9 V: M# u3 k
crt num-people, n& s$ a& Z! c/ k6 H* i( x: S
[ move-to one-of patches % T+ `6 t/ }9 i7 G1 V6 P
set size 1.5 " j1 d) w6 U; E( ]8 v6 F
set-initial-turtle-vars-age
2 }! j% l# v$ d. ? S% A6 R set-initial-turtle-vars-wealth$ z0 q; p" O2 i
set age random life-expectancy ]
6 \- V& S' V+ h1 C1 t; b recolor-turtles$ w/ l8 m$ t3 I# y8 O0 {' @* F7 u
end: A. `3 ?2 |0 i/ T; C$ A
3 O5 k) L, h' I8 I# Q6 E
to set-initial-turtle-vars-age) y1 H# S3 f& i0 C, A' Z# k
let max-wealth max [wealth] of turtles( j4 x; k- O1 W" w+ ^$ S4 k
\* D }5 ?, \. U, f ifelse (wealth <= max-wealth / 3)
4 X1 M- p; W7 e) S [ set color red ; r6 S: \1 z* y2 V
set age 0# M$ h' j5 U1 E
face one-of neighbors4
. l: [ ]# G4 D' ]% l set life-expectancy life-expectancy-min +
; w9 K! w( Z9 @5 X4 F9 K random life-expectancy-max ' ~7 y' W& S+ F" s( b
set metabolism random 1 + metabolism-low
- ~0 D6 D! I1 C8 J8 c# n7 n( z8 E set wealth metabolism + random 30
# J6 T1 o+ r4 }# o set vision 1 + random max-vision
& o8 H% n; k; I s set wealth wealth + Wealth-inherited-low ]
9 I4 P- x8 S8 X1 A+ M6 a9 S; H [ ifelse (wealth <= (max-wealth * 2 / 3))% x$ Y$ n- X; G1 ^# x
[ set color yellow & X% D. V: d/ q+ Z" u; c" e
set age 0( G9 b: d+ u5 i& O& o
face one-of neighbors4 2 f$ m- m0 B- |2 k
set life-expectancy life-expectancy-min +" ~1 Y7 c1 t+ ^1 R
random life-expectancy-max + 15 h1 |4 z* Y. N: L
set metabolism 1 + random metabolism-mid
" w7 g+ F5 ]6 D J/ G set wealth metabolism + random 30
5 V/ ]3 o1 s0 @7 m* z+ I) p+ d3 N set vision 3 + random max-vision4 a: Y( [% E% x! R3 x
set wealth wealth + Wealth-inherited-mid]2 H- J3 E+ H/ q8 P8 g7 ]/ b
[ set color green # i0 Q# q6 [; w" @0 j: U0 E, i
set age 0
; @( i% H7 c5 k+ ~ face one-of neighbors4
1 S4 e1 n7 U. F9 m) f set life-expectancy life-expectancy-min +
' [7 x( j! X, u$ Z y random life-expectancy-max + 2$ p$ A% T4 P1 V, ]* x0 {$ | m
set metabolism 2 + random metabolism-up
9 J7 E: x+ W# l5 T1 j9 Y5 e! j set wealth metabolism + random 30
& v! O# E$ Q" D8 e, J, B set vision 3 + random max-vision2 l0 o8 E% H7 [) j3 c- F
set wealth wealth + Wealth-inherited-up ] ]
2 W" {% F `2 M! f
( R# O) {. Y* ^ l9 n, P2 [' Pend& u% @$ H n, c4 ?
to set-initial-turtle-vars-wealth
5 _. ?0 M0 L) ]$ }" m# Z# J let max-wealth max [wealth] of turtles# I2 M* u( T& t' y
set age 06 k9 I" ~& t* n$ H1 d( Z! d
face one-of neighbors4
0 B* V7 ?) `2 {% z4 q; K- c set life-expectancy life-expectancy-min +' y |$ H- \4 ^0 z
random life-expectancy-max
9 {/ {+ ~6 w" C2 l' ^ set metabolism 1 + random metabolism-up
# O/ D& s3 N7 Z- u/ k: H2 V set wealth metabolism + random 30
" n8 q# D* v' M% p# R0 V. U set vision 1 + random max-vision 0 }3 j8 H% M3 y& h
end
8 x2 A! |0 V3 o" T& s- U- Yto redistribution
" u" R( Y8 Z2 K+ J: dlet max-wealth max [wealth] of turtles
7 {5 P* C; V8 J( |$ k1 w0 `/ Blet min-wealth min [wealth] of turtles# r* @4 `! Z4 M) F) B4 u/ N
if (wealth <= max-wealth / 3)/ Y. ~ E, |$ C* @) B* N _, E
[set wealth wealth + Low-income-protection ]9 a- \% H1 j0 W* Y$ k
end5 J8 E( n$ W6 w( Q
) T# z0 y. M* }/ I! u
to recolor-turtles# H) n* ]' f% Y3 ^9 }
let max-wealth max [wealth] of turtles
5 u/ J* `0 N/ L' X9 ]3 O/ J ask turtles7 j) Y R) b f5 d: G
[ ifelse (wealth <= max-wealth / 3), s* m# S2 o2 D5 W% H8 V. F
[ set color red ]
/ P( f" v! I3 [% \ [ ifelse (wealth <= (max-wealth * 2 / 3))6 {% T/ m; m. u
[ set color yellow ]
) K, f: f9 [' D B0 S2 @+ Q& U7 O1 U [ set color green ] ] ]( j/ b0 k& ]) e" L
ask turtles [ifelse show-wealth?& F' J7 ?5 p% o
[ set label wealth ]
6 S) e- ]4 X5 r% l+ G1 {8 |( K$ c; T [ set label "" ]]* c! D$ e& `) q! V' P
end
' c: ?; N* V% a% v
& \5 I0 E |# |. p3 n- Nto go s/ H" `8 w0 K! t o
ask turtles0 H( W9 K1 Y0 N2 h+ ~$ x
[ turn-towards-grain ]
) }0 }. b H v, w8 b9 F harvest
% _6 L ~8 m- m ask turtles2 a, Y" ~% V( h7 W0 i1 d) g$ f# E
[ move-eat-age-die ]$ ]% h W/ i' |& [( k/ s7 T I
recolor-turtles
0 W8 @' p1 C8 A% A+ D if ticks mod grain-growth-interval = 0
* `( G1 u5 b7 u) j/ i P2 g4 { [ ask patches [ grow-grain ] ]
4 ~& T* f6 ?. W( ^, Q
1 d, o3 i1 z6 M: R0 ] if ticks mod 11 = 0. s5 V5 h# e# D3 \
[ask turtles
3 W# J3 G T, n# P/ e4 b [ redistribution ]]
1 \7 W: c) |) l$ G7 h if ticks mod 5 = 0
* y6 e+ l( I7 f# N& l [ask turtles! a* ?8 o9 x) G1 [
[ visions ]]
% k. l% U; G) _2 k, X( s# ~/ j- z" Z tick0 j8 j, j4 _8 ?& r4 y6 \3 `
update-plots1 o m& \# r- _' M6 o% B- x" c" A
end
8 O' F0 G$ Y7 H5 r0 A* dto visions* p0 r1 N+ e7 d+ v( i& f
set vision vision + 1
: S! F2 K- M( ]7 g+ Send
( m$ J0 }- o" B
9 }( d* O8 z4 ^- [ h) X; U) J S6 g( C' {1 {
4 ?& i, E t1 }# \
to turn-towards-grain
8 G) r2 T# D6 S7 |( g! u set heading 0
% S! w) @5 z' w let best-direction 0& R, O }: v# M
let best-amount grain-ahead
( Q9 }% X7 h' |6 N; h set heading 90
7 J \) O! Z7 I' n; [5 R if (grain-ahead > best-amount)
9 l6 Q: L) f+ v! C [ set best-direction 904 K, ^$ f( j8 ]+ M7 U5 T8 Z- K
set best-amount grain-ahead ]( y! Y! z- H: c( X/ c" r
set heading 180
z8 g% T9 e# b if (grain-ahead > best-amount)2 B$ q$ y% |+ `+ T
[ set best-direction 180
w2 k3 D$ B7 } set best-amount grain-ahead ]
4 V2 {; m0 h8 D set heading 270
8 l. n) K7 @4 f! i9 I" t3 h if (grain-ahead > best-amount) a- R2 V; Y' h* H
[ set best-direction 270
* O# e7 u q& @9 R5 z7 y set best-amount grain-ahead ]
' Z7 ^ |8 `! k+ {6 u$ v set heading best-direction ^6 f# D& I8 y" K# Y
end1 f: s9 C( [5 b6 z$ T. F
. B6 R( i, t$ S1 M O, @
8 V7 [2 u2 ^( w% Q3 O5 }$ Yto-report grain-ahead $ t. C& C5 Y% H+ z9 k
let total 0( u) Q& q+ d$ V" ^5 @
let how-far 1
, P! t( l# [) {* w5 ^7 h% q repeat vision9 e& [% R5 g, H$ b9 O7 W
[ set total total + [grain-here] of patch-ahead how-far
) P- B3 v" K" b$ v set how-far how-far + 1 ]0 C5 @0 f9 P8 q! \0 _1 g/ W$ K1 c
report total \( b3 u3 w& j" E5 D
end# [( F7 x9 w6 h- ]& Z8 c2 N
2 d: E. b7 K; U- K3 [- `9 v" N4 e; G: Dto grow-grain 1 @) o! m; S7 @( _/ G
if (grain-here < max-grain-here)
6 y1 A# @* F; v [ set grain-here grain-here + num-grain-grown
7 }5 K- L; F3 y5 P8 W$ \ w if (grain-here > max-grain-here)
. e0 Y9 ?( C% t0 n U, ^; }- O$ J [ set grain-here max-grain-here ]- T% _/ a2 ^6 l7 ?" e- y
recolor-patch ]2 u) m4 K5 D1 r( {5 o6 X- Q3 d2 g5 p; S
end( _- s7 }# |) a4 ?+ G$ w+ ~
to harvest
* e$ ~$ M @) I6 n& I7 S ask turtles% {# W4 _! _( i4 ^8 ^/ C* y5 A" e: Y9 t
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
. Y& Y- e& r) m* d& X ask turtles0 n9 i- ]( k3 @9 k4 l3 K1 R( x
[ set grain-here 08 P: x8 z8 M% ~3 e1 j0 `
recolor-patch ]
/ D( N( B; `# F# W p ( l6 n4 k3 y1 r' e! Q' t n; a; v: ~) n
end
! R2 K: T' y& z$ D
$ V, O/ X1 o O, y! Q7 Cto move-eat-age-die # n' `, m+ U+ }
fd 14 v9 k/ g( C5 F1 M3 E
set wealth (wealth - metabolism)7 ^/ r: P# N7 {" B/ t6 `( W! J" j
set age (age + 1)
. E9 U O8 _ K% R2 O0 o3 u9 ? if (age >= life-expectancy)7 [6 D/ R& w9 w6 N2 P) H
[ set-initial-turtle-vars-age ]0 h- ]* A, s, i
if (wealth < 0)
7 T+ I- M3 O$ s* b; d [ set-initial-turtle-vars-wealth ]1 m( o9 m) B, P' w
; T! X1 a- |# S% }! x9 wend( R+ @3 F% m- V- I8 S" R# `7 w" [
! b4 u9 W, ?/ H4 H/ \. g) j
% c( ~4 ^2 {- K8 d$ x
to setup-plots p X: T+ w1 u+ Z1 _6 b
set-current-plot "Class Plot"# S3 T& \" B. {( H
set-plot-y-range 0 num-people
8 X8 o3 j( U. A set-current-plot "Class Histogram"4 b' ]- D( Z% } N% ]6 ^1 P
set-plot-y-range 0 num-people9 P2 f# s0 j2 F8 Q& D5 `
end
1 r. E8 p/ h9 _6 x7 X
' Y' Y+ I$ f* I. B, X( Nto update-plots
4 B( i, N1 {$ r6 {0 W0 r' ]& } update-class-plot
N# n5 v# J/ @6 w* H update-class-histogram5 o, r* _! _" y9 t
update-lorenz-and-gini-plots5 w+ l, q# M" d& u
end7 H/ N5 v# R* m: r+ Z* ?7 b' T
@5 o t9 z" b4 ito update-class-plot
8 b0 p. D! P1 ` k, N) P) \ set-current-plot "Class Plot"8 c* M& M z5 Y o
set-current-plot-pen "low"
# N3 S4 M9 A6 p5 R plot count turtles with [color = red]# A, ?6 \+ [' M2 A. ^# C
set-current-plot-pen "mid": _- {6 J4 t0 c& b) D
plot count turtles with [color = yellow]
( |. A; l/ |5 B# n/ H0 \ set-current-plot-pen "up"
$ T) D3 R- H. Q! V: ?& h plot count turtles with [color = green]- A2 P$ y g5 o& o" V/ F# j# T
end' L6 K( m5 i0 Z0 c+ _1 b2 t; \' u" q
" H4 |9 z( m+ M9 D. |. pto update-class-histogram
3 m( V+ O# F" V6 X+ T* I set-current-plot "Class Histogram"3 p: m, ~3 ?7 j ~
plot-pen-reset* `4 ]- ]5 q' M+ B4 a& u4 _
set-plot-pen-color red
8 q+ |+ Q7 V' j# @. { plot count turtles with [color = red]
; x( G) C9 V2 i( P% P8 T set-plot-pen-color yellow- ~5 I5 G2 c- T( k! u, N1 |
plot count turtles with [color = yellow]8 K0 n/ @5 |2 m1 n
set-plot-pen-color green2 X9 G3 c, ]9 L, N
plot count turtles with [color = green]
* h. j7 ~# v# Y @! \# Z. [$ send
% p3 r6 z; F- n0 L e. k2 vto update-lorenz-and-gini-plots
. d, L7 {! n d# O! M7 S5 k set-current-plot "Lorenz Curve"
% e; k2 A4 L( E8 _' z6 o& T clear-plot# f( ~7 g1 v2 u/ n$ i$ w5 z
5 i; R& @- p* c
set-current-plot-pen "equal"
2 J1 U1 }7 }4 j$ a plot 0
# ^# |0 l7 `% t* X7 d plot 1002 T4 E& U( ^0 A* p- a% W
3 A9 j7 F# }( {+ b! E
set-current-plot-pen "lorenz"
. |7 c/ [% d& P( _ set-plot-pen-interval 100 / num-people
5 d/ T1 ?( Z. F6 b7 w plot 0
% B+ I, _- e$ U! q$ I- g0 `: V8 r( R
2 V: I- X) }4 o let sorted-wealths sort [wealth] of turtles
3 i1 S- c' }/ q let total-wealth sum sorted-wealths& t3 w) E# S* l
let wealth-sum-so-far 0
8 J1 G. r9 h2 F( ~ let index 0- B6 N4 p% P2 o5 ~$ \8 ?
let gini-index-reserve 0
$ S- k+ t, u; [' `; M! y+ Z3 p2 J) k% q1 @
repeat num-people [5 u+ ^. d' B, q5 U5 K
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)0 c2 R8 h5 ?! F% J
plot (wealth-sum-so-far / total-wealth) * 100
6 }2 z0 ?, g4 T9 Q2 V- |& F set index (index + 1)1 m5 A4 \! @& }9 @9 K
set gini-index-reserve
5 t+ R+ D9 L D' D s5 w% {/ ?( h( f gini-index-reserve +) R- W0 x0 E; F& t# L
(index / num-people) -: i; m5 }- s, l# [7 N. {& [
(wealth-sum-so-far / total-wealth)
' Z+ @: @' u2 ^ ]
; `% u+ R3 U+ H: g; ^- p/ M9 v4 K1 \& k$ a: e& ]
set-current-plot "Gini-Index v. Time"
! c9 m5 v" J$ B8 }4 y plot (gini-index-reserve / num-people) / area-of-equality-triangle( f/ ]3 N( R# \( G& O# L H8 H
end4 D; _% o& ^7 a3 @+ A6 e
to-report area-of-equality-triangle2 s4 m' w! \2 S& F2 S$ K! C
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
) C% f$ p2 @3 D" r2 ?8 a3 Yend |