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# t. N9 u0 F- A T' Q/ n
globals2 u; g7 e3 u! l2 ?/ L
[
+ B- S7 _9 j4 z- Q) o# ~ max-grain 1 y4 |. p: f. \
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]" B$ |' Z; J' v5 r: E
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patches-own
( B [3 ^ T3 I$ ~8 @[) Z: i1 u$ b* \* F0 C( G) G5 V
grain-here ) x5 G1 \5 B1 ?; Z1 t* @0 G5 `3 |& Q
max-grain-here " U; F/ W. K2 O7 x3 _. o
]- s/ F# q- I0 V
( `* i, C" ]5 _: t4 l( E
turtles-own+ G5 |. k1 I( E
[2 P i3 V- g: `% O/ l8 q
age 2 a1 O8 @. O" h6 u. E. G
wealth " o8 m! i, _; N
life-expectancy / t" o' M6 K: c6 R
metabolism $ ]1 U. `( t: M1 V" q
vision5 o" P- x: h( F
inherited
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# P# \( Q( x8 D1 w l1 C/ }3 kto setup
& T9 p% j- w X9 X ca
/ V$ q4 f8 O3 `8 O' ?7 Q( g: i set max-grain 50
6 s B2 {; P, _# M/ g- J6 X+ b8 Y setup-patches! f2 p D; c- U ` T
setup-turtles" c0 e5 v u. x3 I3 b- s' X
setup-plots
9 Q; \ X7 U3 X8 m2 j' A4 \# f update-plots
: q- A2 ?# S" O! d) l# Bend
" u+ G" B8 S1 A; V0 o3 M9 Q% ~" ?4 Gto setup-patches
, G9 J3 t0 E& _$ U) ~% @, T7 `1 E ask patches, p2 C( K2 C( Q) L! G
[ set max-grain-here 0
4 M* {3 |; W7 P! z7 M! [ if (random-float 100.0) <= percent-best-land5 z( ]# p) R% a# B5 S
[ set max-grain-here max-grain
) W" l. }) C( R6 @ i set grain-here max-grain-here ] ]
! C9 d9 l% s8 I8 y% N) G, J( k repeat 5# @ ^% E1 x1 F4 ]- C O- l
[ ask patches with [max-grain-here != 0]
2 c* L* D. c9 N; t7 ` [ set grain-here max-grain-here ] N+ E8 P1 `. r2 s- @
diffuse grain-here 0.5 ]/ \% u$ G9 h+ ^& q( P
repeat 10* N4 K& v, c! c) F Z& Y
[ diffuse grain-here 0.5]
9 l+ n2 p4 u% E ask patches2 q& g% S$ J2 N$ I9 Y6 l2 g" b) \
[ set grain-here floor grain-here ' k# X0 \; e) u; j
set max-grain-here grain-here
! h3 h4 \/ s- g& k; h recolor-patch ]* s0 ~) ]2 R- x5 \! n. i3 R4 x* m
end
: ^, q. [' {" D, B$ w# E+ ^to recolor-patch
. ]% O3 S, g) x6 p) H* E set pcolor scale-color sky grain-here 0 max-grain0 j2 a) `$ `1 |8 _1 i4 v# i
end
% a9 c- y! V0 }' ]' E4 Dto setup-turtles
8 i0 \7 ?: \! ~; G set-default-shape turtles "person"
7 ^8 o3 B* a/ u+ d5 o/ r# b crt num-people
. G- m) z& A# y0 |( R) q8 j( G$ J [ move-to one-of patches % F! W. j# X5 O9 M" [" c7 S
set size 1.5
! h3 @& K" k& E) L2 [7 D; {& L% E set-initial-turtle-vars-age
9 C: M4 y s6 ^5 P set-initial-turtle-vars-wealth0 `5 P% s; f$ ]. _3 S5 H
set age random life-expectancy ]
% m" L' L! ?2 Y& V$ V recolor-turtles: I1 H5 x& N: E7 R5 @# ?
end
( R; D7 l0 N( E6 a+ J. D6 I" N9 d4 D
. t( U! z) H" u1 A* m0 L/ P2 K5 jto set-initial-turtle-vars-age
) O! h0 ^6 n# w! [4 L/ p. p8 U let max-wealth max [wealth] of turtles
6 J3 } h# |; z: p . Y6 Y K) W- K( s& L0 V
ifelse (wealth <= max-wealth / 3)
7 v: A" y1 z d" @, S1 S. E& } [ set color red
6 f) k* T3 a; P set age 0& [: z, T( l$ _( ]
face one-of neighbors4 # L; D- u3 D- W, Q. q
set life-expectancy life-expectancy-min +
+ p0 s* f# ^) ~ M! W0 C6 d2 a7 @; n! u random life-expectancy-max
' O9 @& T: K2 I) s3 F set metabolism random 1 + metabolism-low
* s+ \) c( q, g) e set wealth metabolism + random 306 Y3 R, S- G8 L, z0 X6 S
set vision 1 + random max-vision% x. }5 w8 R: W: H6 ]( E: S
set wealth wealth + Wealth-inherited-low ]
7 p4 P: p+ e9 t [ ifelse (wealth <= (max-wealth * 2 / 3)), M" O/ {- k) l4 ^6 _7 w! W
[ set color yellow 6 b: p! E0 a' C+ i2 l% b" M% m
set age 0
- I) l# }3 |- C* r face one-of neighbors4
5 B3 X' f6 P6 A" m! f2 J! { set life-expectancy life-expectancy-min +/ c, E9 \, x; {9 A9 Y2 R) Y2 Z
random life-expectancy-max + 1; {5 r3 ^- F6 L+ H! y# D
set metabolism 1 + random metabolism-mid* a( g5 t* ?4 j& Z/ A, M% M6 \
set wealth metabolism + random 30" x, Q( _+ l" A
set vision 3 + random max-vision1 v5 f z5 g3 _" i# o& k% \# L
set wealth wealth + Wealth-inherited-mid]
. j2 k! {7 ~) D' @6 R t [ set color green 8 N2 G' X/ J1 |/ J. |4 s5 g
set age 0+ z6 `* h7 T3 b/ ?" Z
face one-of neighbors4 * ~& ^ A' Y3 U7 r, [3 B) t
set life-expectancy life-expectancy-min +: b! t, {" T4 \4 q! b9 d+ r4 h
random life-expectancy-max + 24 y5 ]6 f3 U9 r8 Q: E# f( D
set metabolism 2 + random metabolism-up, e8 Z. Z0 m" i
set wealth metabolism + random 30
! a- d7 ^6 E3 `" U" r set vision 3 + random max-vision1 ?1 H( W' F( k3 C! y0 m1 O; Z
set wealth wealth + Wealth-inherited-up ] ] ( l8 F& w2 }( O
# v: e5 y( U9 w$ A) S0 C
end
$ g5 r+ _' R ?to set-initial-turtle-vars-wealth: g' J7 L) b" o* G7 l) D, s
let max-wealth max [wealth] of turtles
9 }0 {0 O2 k$ W, v set age 0; o' g* s' s6 U3 {
face one-of neighbors4
$ c) k a) ?' J7 c) R7 q' z t set life-expectancy life-expectancy-min +, u1 [' X$ A* w% F8 T T: r4 W" w
random life-expectancy-max
" h9 D& K1 u. p# E4 X set metabolism 1 + random metabolism-up
( K( Q. J, b4 T/ X set wealth metabolism + random 30( x0 c$ \$ d8 t/ T3 A: b- J
set vision 1 + random max-vision
6 I$ Q) C6 _4 N6 o% Hend
6 ]' H: s9 C+ B L* \0 \. `to redistribution: [) z$ X1 h$ C: D- E, `/ Q
let max-wealth max [wealth] of turtles& O! I0 T& [- A5 f& o: s; ]( ~
let min-wealth min [wealth] of turtles
# T% Y8 p, z8 m6 ~4 iif (wealth <= max-wealth / 3)
& `! E9 r9 a9 A( M/ q) Y: d3 F [set wealth wealth + Low-income-protection ]
% F" o9 Q! |9 W6 L, f/ Eend U, A s. k, F% _# \: G+ L
0 Y! @2 t8 f6 Y2 p! Ito recolor-turtles
+ r4 I% O4 q: K8 ~: o let max-wealth max [wealth] of turtles6 `$ K& h/ h3 K R: d4 u- P
ask turtles4 m5 E9 q9 m1 U1 a4 a' _
[ ifelse (wealth <= max-wealth / 3)3 ?1 \! f H0 F. E
[ set color red ]* i0 h, B0 g& \2 c
[ ifelse (wealth <= (max-wealth * 2 / 3))
' l6 V4 i, q6 }& V, `; d9 @ [ set color yellow ]
! w3 _$ a1 {5 h* {% _: | [ set color green ] ] ]
& p1 L8 |; q0 F! V/ K! V% e ask turtles [ifelse show-wealth?! u8 L" }$ t5 r: Z, ^+ P
[ set label wealth ]) ]3 n. N9 Q& Y+ N
[ set label "" ]]
; ]% F" C5 d( j8 b6 ~; H8 ~# nend3 a1 [: U( b. Y* Y
8 M8 r, {; U& o% X' f, Y% Nto go
: p" Z% |" J+ s3 R ask turtles& J$ E+ {9 \4 X! c4 r0 @
[ turn-towards-grain ]
9 a [0 b& _; D: D' L% l harvest, C8 H |% S# s( P1 M
ask turtles
4 _" K& J7 O1 N- N! g/ y [ move-eat-age-die ]
, W' U! l5 X8 B/ U recolor-turtles9 N) J2 H+ M4 J
if ticks mod grain-growth-interval = 0
0 R4 S; |! q2 [. R4 e [ ask patches [ grow-grain ] ]
: \0 b$ Q1 w% N* |" R
- i; e. J# M# {7 p2 l8 }2 ~7 U if ticks mod 11 = 0
: C7 M9 _1 l' U9 T) p [ask turtles
: W+ Y( ]9 s ]2 z. f1 N/ ^# y [ redistribution ]]4 w) [- }& k( o% i4 f4 G `
if ticks mod 5 = 03 @. P% C6 I4 }8 b9 L S
[ask turtles
" R6 x% K5 b5 z8 C& P/ ?7 c/ ^ [ visions ]]
$ @ n' o, M1 Z2 P tick
& ^% e2 F* I5 [$ m. W- j3 L9 Q update-plots
. Z7 v' `9 @4 B& [- _end8 c) n! e, A( h; ^
to visions
6 G! ~& Z; o9 L8 ` z$ F7 ?6 T set vision vision + 1
0 t4 W) O' N" {1 ?8 k5 r6 rend( @/ O& d; t# }$ q
& g1 C3 y5 o. o. ^; \9 i
d- C3 R6 X5 p1 ?) p
+ S* A d- ?% p; L; Kto turn-towards-grain
# A/ r: S& {4 U' z6 S& l; }- L set heading 0
1 s; y0 r2 q; q2 j, p( Q$ E8 p let best-direction 0+ Z9 w6 F6 |4 p; t1 p
let best-amount grain-ahead
+ i0 v( N; O9 X. G6 ]' v set heading 90
o" z+ f$ f& F$ R8 e if (grain-ahead > best-amount)
8 g6 u& G" d# E& n [ set best-direction 90" o9 V! v4 l/ l4 r
set best-amount grain-ahead ]
y/ V# Y; k0 X set heading 180$ q. q7 T) ~6 a# k) Q7 p: c; }
if (grain-ahead > best-amount)
4 O5 ~ i7 c: F- H9 u, a& q [ set best-direction 180
# g, }4 e6 n5 V8 B) B+ X1 S set best-amount grain-ahead ]* W' @3 c9 H( ^2 w9 |
set heading 270/ T0 R7 U& T# o# R& D2 m* Z
if (grain-ahead > best-amount)- A4 @& l; a; U# o9 p2 c6 {* w
[ set best-direction 270' g+ A! J0 n& f; {6 Y# x
set best-amount grain-ahead ]
! N1 v! b& L; c9 {7 m set heading best-direction0 h( W2 v8 G5 q+ w% u$ e I: h( n
end
# G6 W$ X- l2 ?2 |! g5 p' N5 F g: y4 e+ Q( @6 w
' t* |5 r; K+ K: C0 i$ k a4 W, m
to-report grain-ahead
: _7 B8 n5 R0 G let total 0
- u4 D( @, b1 x! Z let how-far 1/ `# m) @2 {9 _7 F4 ?
repeat vision
- l6 \: M0 _- s' Z Z6 y z8 `4 } [ set total total + [grain-here] of patch-ahead how-far
7 C5 F$ l2 v* p4 ?+ r set how-far how-far + 1 ]$ U: o! i5 |3 D* |3 t
report total
( ^5 I- I! k0 P( t# }end
2 ]$ X0 v1 `( c% O4 D7 @3 ^! e8 j6 n& V. _6 i4 X
to grow-grain 9 i! q9 k0 o ^: y" a, a; i
if (grain-here < max-grain-here)
( f) o7 N/ U2 F* R9 V. w [ set grain-here grain-here + num-grain-grown, |6 s+ K3 X8 Z, @1 h/ W" x- \
if (grain-here > max-grain-here) 9 N: i8 {: M7 z. O# v0 O. U B
[ set grain-here max-grain-here ]! p" e! q6 y$ z7 a2 O
recolor-patch ]
6 [( p8 G# G) P- u" u/ bend8 R) h$ I+ M: H# U, F
to harvest1 j; y6 k' s' e( ]+ }# k
ask turtles
# s- _. @3 U, u& g& O7 B) ] M [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]6 V( V) o/ ?6 ]+ Z7 A
ask turtles* s$ D& P0 _" P
[ set grain-here 0
2 Q7 ^, X4 J5 U- b! K recolor-patch ]" L1 D% j' ?$ U% ?% s6 I
9 D* S( Q0 p' D9 {2 d
end' P$ i) @7 `3 J# Z( |: h% l. M5 v: e
+ e( L# }6 H) e4 E7 Nto move-eat-age-die 6 N" O; h9 ^! Z9 J7 Y6 B3 D; r& [
fd 1
8 }' ]& g6 e& _0 ~: W2 e. y set wealth (wealth - metabolism)
^- `$ l4 i5 \ set age (age + 1)
2 I+ P4 r4 o, z& m9 O( u if (age >= life-expectancy)5 S: O6 N$ w2 c* C9 t& o; S! w- q0 U
[ set-initial-turtle-vars-age ]
4 j. T* B4 i2 ?+ g) R if (wealth < 0)- W+ G: h( ? H0 D
[ set-initial-turtle-vars-wealth ]; e8 c3 ?+ d2 R: ^) K
4 ~& V# Q Z! N) C- L: Z- s
end
4 H$ w4 u* k* v) k! Q" Q, a1 \6 H8 J# }5 y
" f, e# s3 w- U
to setup-plots
8 M# _. B3 F& R# v' a set-current-plot "Class Plot"
. J& U2 \; |- t% x3 L set-plot-y-range 0 num-people# ^/ r' ?/ @: O& I/ b+ W6 d
set-current-plot "Class Histogram"+ j6 ?5 c/ D- G) k
set-plot-y-range 0 num-people! K# Q/ @: o5 E4 y. K
end
+ d0 `& O% T( }% X- I
e4 Y- V# S+ t o3 k& Dto update-plots0 H6 R- M1 e- Q/ i
update-class-plot5 S0 i3 k& T& q' g# v' E. t/ o
update-class-histogram6 H# U1 ^* n8 y# ~/ _9 l6 H: K
update-lorenz-and-gini-plots
( n, O; {* R( q/ vend/ W3 j2 S- E+ R6 i7 e
, w8 H! R# ^1 j6 C( xto update-class-plot7 f& S5 i; d: K2 d
set-current-plot "Class Plot"
A' _3 z# x( l: L' d% s" T set-current-plot-pen "low"
! u) f! {1 _. u. o. a I0 I$ W plot count turtles with [color = red]
8 ~$ J/ G2 E8 P" H) s6 m) B set-current-plot-pen "mid"$ i) K# k8 g9 j) i+ U! T. r: Q/ A/ M
plot count turtles with [color = yellow]& [# V. y% q/ J: v# D( u6 n3 h$ S
set-current-plot-pen "up"
' b, H" {& m/ l, }5 Z plot count turtles with [color = green]
' p8 i. ]0 p: D: D* ] uend# J' \. I Q" E
4 L' C8 l0 g# [- F% Wto update-class-histogram- Y" Q3 @+ o0 g/ u k. ]
set-current-plot "Class Histogram"
/ |4 W h2 Y+ e/ Q1 f/ v3 X plot-pen-reset. k* q! I/ T) Y
set-plot-pen-color red, E5 R6 g. t, {3 L6 B
plot count turtles with [color = red]
. F' Y" j6 T, N0 z- R set-plot-pen-color yellow
* y& X8 ?7 ` ^7 H plot count turtles with [color = yellow]& `1 N4 }& _8 Y
set-plot-pen-color green
" @2 K: a. g8 F g4 S- y plot count turtles with [color = green]3 g3 `2 n8 ], F. x2 ]: A
end
0 ?7 p3 c, U6 W+ s6 oto update-lorenz-and-gini-plots
% u) D, `- M6 e j! ?+ s set-current-plot "Lorenz Curve"
; g* g) s+ [3 ], m* `! A" p clear-plot
$ _- D+ @4 H1 X# E; h8 h1 Q+ w( ]) _! \" s2 W: J3 D, i8 g( J
set-current-plot-pen "equal"
" G. j4 W3 f& v: a. } plot 0* {( D- ~7 G1 M) ?7 i. T
plot 1000 {) x& b# m$ E0 R: @: i0 }
" i3 h6 Q0 A) {3 J& D N$ i, n set-current-plot-pen "lorenz"
' G6 G/ O; c2 Z( q4 y set-plot-pen-interval 100 / num-people
: V2 k |+ ?( j; O plot 0
3 z* J9 _& C4 `3 ]( V7 B0 q, u2 Q- p5 M) }' m6 {/ G7 T/ l
let sorted-wealths sort [wealth] of turtles
# ]9 \1 t8 i# G1 V+ V0 q let total-wealth sum sorted-wealths
+ w0 J. I. r+ X5 q- I let wealth-sum-so-far 0
: B4 |3 A+ j6 J6 i5 I& u! `% N let index 0
( U. |: I8 e: f# ~ let gini-index-reserve 0+ W/ f; T- F7 n7 A
1 [6 x6 O: k/ G) t0 A repeat num-people [
( C3 I" n+ i/ L! f* G set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)' h F" N3 [$ s1 d2 i& |; L+ o
plot (wealth-sum-so-far / total-wealth) * 100
$ S0 a8 _7 m! R" |1 M/ ?3 j: U% o set index (index + 1)/ K: w8 g% }+ z0 q( y9 n! [7 i
set gini-index-reserve- ]& V9 q; {" E9 B1 n& y
gini-index-reserve +' C8 u, ]7 Q# u
(index / num-people) -
9 K; f9 i$ k- }, @, h' ^# C Q (wealth-sum-so-far / total-wealth)& m" w" Z; ^+ `) S r8 P" Z
]# E/ F* O9 x5 e
; Z4 W8 {" d0 o' w0 w
set-current-plot "Gini-Index v. Time"# n: M) U- L! L ~
plot (gini-index-reserve / num-people) / area-of-equality-triangle' S1 F; Q$ ?. |( }% A2 Q$ u3 z
end z3 u! |$ v9 g) Q
to-report area-of-equality-triangle
& B( W0 Z0 T' D: ? report (num-people * (num-people - 1) / 2) / (num-people ^ 2)( B* u' x2 f+ Z3 Y4 g
end |