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6 ]" Q/ F+ M" z
globals
|1 ]6 J. \6 Q[
$ p/ K' a e2 n! z9 O) H3 G max-grain ; t! n3 e: j8 f1 R) u3 z
, i7 o* e; A/ j& ]" h$ x/ ]$ o]
3 O+ v+ u. e3 a8 q# E# l% k4 h" H5 \* N; n8 _) k" z
patches-own
$ B4 R- t5 _; k' t[
3 {0 w. {* F( j9 D grain-here
' E9 y) r1 a9 |% E$ V$ M) U max-grain-here $ ?. c$ w2 U1 L7 W$ `; z- G4 s f
]
7 @, A* r: Y7 v+ @/ E7 f/ a' x6 y. e3 T
turtles-own. f- H- Q2 ~1 r4 W& }
[
, K# G6 I) W% i6 t! U age
1 o, Q, |+ u6 L- G& w2 k$ z- h! { wealth
$ I' O b7 O! J, s' z* I3 v9 W$ n+ r+ ^ life-expectancy ! q$ e- I1 I6 t, G
metabolism
' V/ Y# o" e6 O1 d( H2 P vision7 Q8 H: [8 V! [1 m; h" p( ` `: w+ H3 j C
inherited
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1 [, `$ R1 k4 Zto setup
9 `$ B3 X$ | D r+ ?# r% G) ~" W' D ca/ r& ~0 e3 H) v2 P- e
set max-grain 508 `; H p0 M+ F; M& R2 c
setup-patches
# O. k8 o0 N# D! U7 q' l3 [3 J setup-turtles( |+ d# R4 M/ I; q5 N
setup-plots
2 k$ Z! }3 n2 y( G1 o/ Z update-plots
, M/ i2 P+ W; O: `end
. ], k6 r9 u; X3 L/ }to setup-patches
0 G6 _& @' |7 L7 E7 B3 l$ i( S) Y ask patches
% ?; I4 x* ]) k7 A3 U [ set max-grain-here 00 B% W: P7 Q. q8 E! w' A8 @8 K
if (random-float 100.0) <= percent-best-land0 I6 O# m# @' C7 [
[ set max-grain-here max-grain; d1 e3 C1 G1 v7 @
set grain-here max-grain-here ] ]% L/ t; H+ O, F
repeat 5
9 j S1 d- ?4 F8 N/ F% n/ D [ ask patches with [max-grain-here != 0]# v3 ^; j& v1 A( D$ R2 X( m1 Q
[ set grain-here max-grain-here ]7 r# m! U4 Q* ?5 u9 _) |- f
diffuse grain-here 0.5 ]) A2 d8 b# h" X, u) l1 }
repeat 10- v5 U6 V$ _5 j) z& Y$ ?
[ diffuse grain-here 0.5] ' l" z/ S" G4 h0 t/ }0 S
ask patches
% \+ \$ \4 i& S, ] [ set grain-here floor grain-here 6 j9 g, @- P- B5 E, }
set max-grain-here grain-here
$ c- ?2 c! N9 N: z _9 q recolor-patch ]) |' C0 \. a/ R
end
2 |) H0 H7 q3 D$ c8 V3 e: c8 z- Nto recolor-patch
* Y7 M! G+ p6 ]% C+ Z4 Z set pcolor scale-color sky grain-here 0 max-grain2 }0 R7 l# D5 ?) c% v7 L& M: |0 u
end6 |3 } M# ~' t7 U w H& w
to setup-turtles
* Z+ U" m* q1 I- x- k* k, m set-default-shape turtles "person"9 A* m. H' w, y/ T, J
crt num-people
% d! w; d5 A, M J4 P [ move-to one-of patches
: [3 B v- a( L% k9 |4 c' } set size 1.5
6 N8 T% @- @% |/ P+ ^ set-initial-turtle-vars-age" E) O0 X. ~1 b2 N6 S. ~) K9 ?
set-initial-turtle-vars-wealth4 j1 \- n( h" `" u# Y: L5 M
set age random life-expectancy ]! R5 G. P" ~2 l2 O* `7 n4 q
recolor-turtles4 I9 x- E; I [# F) S" i7 b
end
6 J& T' r g4 F3 J) g. h' K5 p7 `% f& ^4 L% s1 g4 u/ k9 f
to set-initial-turtle-vars-age( [* v5 \# w; ?! T& v
let max-wealth max [wealth] of turtles
% F* W8 Q7 m0 g/ N4 ^2 w( [
/ }$ }7 o. t1 ?& ^ ifelse (wealth <= max-wealth / 3)
+ V) @, J6 k- l- I v; ]1 ?: M% f ` [ set color red - t* I, t8 R2 l [! h3 q1 a! p
set age 0
n' e" V8 {' b7 V0 n0 S face one-of neighbors4
6 Y9 `" G0 x; I9 ^& F* [ set life-expectancy life-expectancy-min +
* f& B8 d+ \. i7 J* s$ q h4 l/ M random life-expectancy-max
- Y/ ?- X9 X) F' h+ X set metabolism random 1 + metabolism-low$ G* f* H6 T* @3 f' s6 P- V
set wealth metabolism + random 30
6 B2 ` B5 \, L0 q! R6 z! w set vision 1 + random max-vision$ D; m5 p$ v4 { B
set wealth wealth + Wealth-inherited-low ]
' k1 x0 ^6 ]% i1 f% q: j [ ifelse (wealth <= (max-wealth * 2 / 3))0 @' m S; b; Q S1 o
[ set color yellow 1 I* J5 N' B3 j9 l5 m2 p* h
set age 0
: x1 ^! ^ n& k$ @- |4 s face one-of neighbors4
5 F, b8 k6 x- t2 } set life-expectancy life-expectancy-min +, `. T6 L! j' n t0 h+ v
random life-expectancy-max + 1% `$ Z# }2 S% S. b+ a& M- a
set metabolism 1 + random metabolism-mid* y0 b& `6 ^* ~2 e
set wealth metabolism + random 30" z, j. Y5 [, r2 j4 {9 `
set vision 3 + random max-vision
* a! H' L( L' M" } set wealth wealth + Wealth-inherited-mid]
) I# L/ s* }+ [& p v Y6 i [ set color green 4 u, z% i7 y. X. P. J8 a
set age 0
; ^8 D. k+ v7 F8 G face one-of neighbors4 O2 ^9 D* D( Y1 v5 b6 ^
set life-expectancy life-expectancy-min +( z/ y$ [# ?2 ~6 B5 n
random life-expectancy-max + 23 C& h+ a7 [5 F1 a: A/ Y
set metabolism 2 + random metabolism-up( o4 [8 b9 p( R0 q( d* G
set wealth metabolism + random 30
2 R, P k+ S' g$ X% U set vision 3 + random max-vision
7 j1 q4 f1 t2 ]/ H set wealth wealth + Wealth-inherited-up ] ] # V% ]& E ?& S, F6 K+ f
. w g6 s* z9 Q0 \ M7 hend" O/ \" ]% _7 G
to set-initial-turtle-vars-wealth
! j8 m+ k/ o0 \9 a" m+ U) E let max-wealth max [wealth] of turtles8 Z1 Z8 v- ~" x- u* X, i) e+ w
set age 0
* z$ }8 e0 R' P' q face one-of neighbors4 2 j+ B# g. q4 U+ I- z' Y/ A
set life-expectancy life-expectancy-min +5 I# b3 O( f0 q0 m0 n0 J
random life-expectancy-max
1 Y4 ?0 s7 o$ b3 J' u# M set metabolism 1 + random metabolism-up
- R y0 j/ z3 I5 i set wealth metabolism + random 30
/ l( I- u4 f+ u' J set vision 1 + random max-vision ; A( M( `% ]# w. P- M/ f
end
) R( p3 v4 y# uto redistribution% l: Q6 F( ?5 s* K& O( S4 q8 c
let max-wealth max [wealth] of turtles' | j) q& a. f
let min-wealth min [wealth] of turtles0 z2 }# I& h8 v! V
if (wealth <= max-wealth / 3)
; g3 G8 `" U) q V& C( T [set wealth wealth + Low-income-protection ]
9 g# h: M* V* k& N6 Hend& {' D L7 y3 A+ V
; W6 J5 U) b8 }7 ^to recolor-turtles
' K0 Y" [1 w* v# g' t2 w let max-wealth max [wealth] of turtles
: a e; @. o$ u ask turtles X( y. a/ e$ `- w+ g7 R" m
[ ifelse (wealth <= max-wealth / 3)
0 ~8 p+ `! t9 X' t8 P4 g% S [ set color red ], T3 ]* g: g" k. j
[ ifelse (wealth <= (max-wealth * 2 / 3))
" A% d; \2 D. c* [! f [ set color yellow ]
. M0 \: o+ G, {& Z- o [ set color green ] ] ]
7 ]) J9 j7 y. d ask turtles [ifelse show-wealth?
9 z' A& L% W- @' v7 E, W [ set label wealth ]
" {. L! n# O/ i v% h* c [ set label "" ]]
; d0 U3 p( o% k5 h& c7 B4 ]end* e f( ^5 y( N N5 ?* U% `( r2 Y- v
$ H. ^" c3 |' ^9 X! mto go
' w- f3 t# }) N" A ask turtles: N1 d0 X+ ?# F1 A' L& f1 m
[ turn-towards-grain ]
- r; d) C3 F0 r& x. y harvest
8 v* U; f/ S+ B( m$ T& L, g ask turtles+ L6 R7 j/ l3 {5 R) B# h
[ move-eat-age-die ]
& Y2 g& B& e5 v; X3 F6 G recolor-turtles
) X6 R. \! u6 i: g$ _0 a if ticks mod grain-growth-interval = 0! e* ^3 Y+ W. ^/ ^) t# o1 R$ @
[ ask patches [ grow-grain ] ]
) Y) u, u- d5 B/ D1 n
0 \; k% B1 v A5 @ if ticks mod 11 = 0
6 P4 ~5 I) p! \8 E7 p [ask turtles
M4 S3 e, s$ K' F0 ? [) P [ redistribution ]]( F# o/ a' g7 ] M% y
if ticks mod 5 = 0. J' `3 a* X% R) L7 v) |- Y
[ask turtles
% q9 }( e( f" `3 \- z3 m& } [ visions ]]: i8 n0 S( ?' Q) F u; V
tick) U$ d J- S5 w6 G+ d: h/ W6 Y
update-plots
6 ^1 I2 c; P6 Zend5 e) P! ] u2 ~$ R
to visions
7 i* }, u) K- H7 h set vision vision + 1
% r0 c% ]6 B* r3 i/ c Dend1 @! Z+ f2 T4 B0 m3 g
/ |# F! C( w& B7 J1 L4 [
- ^1 w; _) Y" ?7 h# G% {" c) I
M" }& I/ T& o1 g+ t+ [
to turn-towards-grain
$ x" S) q: `$ u set heading 0
4 D8 F: S3 d1 c1 I. s5 \ let best-direction 0
W4 L$ z* `+ M9 |; r7 P let best-amount grain-ahead, B% `% x6 O# d
set heading 90. n; k% d( _9 e
if (grain-ahead > best-amount)
& h2 k0 p. x( z6 J$ s [ set best-direction 902 L2 S5 _( |9 f c) Z0 Z! D! J7 k
set best-amount grain-ahead ]
3 x; w/ c0 M% D* X( ] set heading 180
: t9 `* i5 N7 p/ [: T' V if (grain-ahead > best-amount)$ F% i/ L; l0 f* b5 ^5 W
[ set best-direction 180$ {9 X8 T& Y# ~, r5 M" H# p [# `6 C
set best-amount grain-ahead ], s4 t9 C' o" c& x6 E& i P. d9 @
set heading 270
3 ~4 N- g1 w6 `6 ^5 m+ w" I if (grain-ahead > best-amount)
" a; V+ P! {4 ~ [ set best-direction 270* H- E! [! o1 ^$ J/ p" {
set best-amount grain-ahead ]
+ P4 h6 z9 ~, j, j) W6 J set heading best-direction: `4 [( U6 Y! k8 z D
end. u0 W6 u1 H) v8 D, q, J
. h. L3 h$ M# K# y! [# Y2 S
, @2 e6 M# { L5 o2 V9 Q; N F/ g! k+ Dto-report grain-ahead
/ L: z. S/ ?2 {7 Y/ |' q let total 0
& m. |8 E4 w5 Z% V let how-far 1
2 Q9 J4 T) c0 W8 C repeat vision
6 E( F) f# ^, d- E [ set total total + [grain-here] of patch-ahead how-far: ?1 U: n( }, _, _$ R
set how-far how-far + 1 ]. y8 \, s1 @# E4 t9 w2 _2 C
report total
: H s1 v9 G; h! f) ~; G5 v0 B: o( e0 Uend. e M/ X. n; L
! }5 e: v6 f* v& Y- ]; ~to grow-grain ! f, n" [) n. E7 j0 h
if (grain-here < max-grain-here)9 N p5 {4 u, ?; P$ z0 E
[ set grain-here grain-here + num-grain-grown7 h, Q" p2 ?4 S$ H% {$ M1 m
if (grain-here > max-grain-here) , ~# I: r9 ]5 I3 a$ Z
[ set grain-here max-grain-here ]5 d7 _" S: s$ t) n W. P& d8 u
recolor-patch ]7 j( E" q2 Z, Y, V9 g, h; T
end0 p" D: G/ A2 D: V& A+ u/ v
to harvest
/ [- W* U6 z$ v: V2 W2 ]7 v( ^ ask turtles% x; k+ c# H3 U, y
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
; x! G; \' Z% l# b: o ask turtles
6 E% a7 A6 r5 Y7 ^ [ set grain-here 0% D2 J( \9 L: S# w% e+ K% j
recolor-patch ]' S/ r- V$ `9 J! x K; ~) o" F5 s
2 [$ S$ C2 `2 ^( [3 u5 M
end
* d2 G$ y4 \' p7 \" u" f! S& M4 v: F. G1 ]
to move-eat-age-die
4 C: O+ [3 w. t5 b fd 1
% N; q8 @/ L- e) ]& w! w set wealth (wealth - metabolism), i* Q$ Z1 |- Z2 U5 q3 \) l
set age (age + 1)$ [6 M7 P1 n6 P8 d9 K
if (age >= life-expectancy)! P: ^' P( r/ ~# ^
[ set-initial-turtle-vars-age ]
7 j6 n# k6 Z5 _8 e' y* V& L- C- c) q6 `; \ if (wealth < 0)
; h: t( b3 _7 H. C [ set-initial-turtle-vars-wealth ]
$ J+ r, u2 z4 D) x9 O$ u# u& H 5 r! _# I+ h" u" w. H! ^ N
end
' U. t( f9 i1 n& j3 G! r3 J; R0 ^1 N7 z2 C5 z) }+ S& D7 p# K' `
9 r7 E8 b4 v( I' P! g5 k9 p& Xto setup-plots6 u" v8 L% V, D( y& R; w
set-current-plot "Class Plot": m8 V, g, D5 L9 \
set-plot-y-range 0 num-people" G. o+ \' G0 F6 J* d( |1 K
set-current-plot "Class Histogram"" e& N$ F2 ?: K
set-plot-y-range 0 num-people
" g8 M( r) m; q# d. Aend' H. B! _) x( v
& u& L# f7 i3 g2 [& o4 `7 `
to update-plots4 U: H6 q4 [' U! J& h
update-class-plot
$ H' H0 n) _6 y update-class-histogram
2 l7 m5 ?. [$ ], ~8 j3 W0 b$ g update-lorenz-and-gini-plots
4 n) T7 b+ _4 w% l" Bend& h5 |" {6 |4 y- o. K
: H6 j/ Q: |8 Z5 t6 k+ r4 C8 Fto update-class-plot0 U4 B0 A2 ~ @( ^3 W. G) G
set-current-plot "Class Plot", O" x0 d) t j- w6 i
set-current-plot-pen "low" ]: r- i/ H+ k8 E, D
plot count turtles with [color = red]
6 c9 \. u6 [4 c4 q" ^5 Z0 B8 s set-current-plot-pen "mid"+ R; g; I# Y) p! b6 n& S. \6 s
plot count turtles with [color = yellow]
" G9 f2 | Q. \- O. u' u" U set-current-plot-pen "up"
- ^4 t" W3 [& r1 e1 T A plot count turtles with [color = green]. i' O8 N D8 U* Q- T
end
N) ] R: [' k3 l. G* N D2 y: f1 ^' k) V+ ~
to update-class-histogram
" ~- f7 O1 c2 A( `4 Y; S! K set-current-plot "Class Histogram"
8 ?" r, a! F( M: C0 N" T8 x; D plot-pen-reset
9 O# L7 h5 K0 k& L/ ?6 y set-plot-pen-color red
4 s+ i+ P1 @- O plot count turtles with [color = red], u$ D& H( w. j) ~4 ?, |
set-plot-pen-color yellow
. V0 e s L4 v plot count turtles with [color = yellow] _" @+ [( k. d- e% V8 `( ~
set-plot-pen-color green
& m0 N; m* F+ N plot count turtles with [color = green]
, {1 U% `5 ]- ^end5 R, x# |8 U5 m
to update-lorenz-and-gini-plots7 E) s( o9 L+ z5 h0 F) g
set-current-plot "Lorenz Curve"1 U/ l8 R% T2 O' s
clear-plot/ |( L7 }# F) @7 X2 S u, r
% f: ~. [4 j* u
set-current-plot-pen "equal"9 \3 T% z( h2 }
plot 09 \/ i R$ m* _+ P( [# C
plot 100* o; V7 D3 d+ ^1 @6 S4 v0 u
0 p* b t J5 ^9 {4 V
set-current-plot-pen "lorenz"4 k, R& R. ]' ?) g
set-plot-pen-interval 100 / num-people) V( W2 \6 @" m' N
plot 09 f- ]$ i: Y6 M& n' S0 b
* Q- L: F7 y7 @ k let sorted-wealths sort [wealth] of turtles
- Y4 T2 H; T4 x let total-wealth sum sorted-wealths$ M+ V1 V {2 X. u
let wealth-sum-so-far 0
3 T4 e: v; L- r2 L# Q8 m let index 00 _3 V1 D6 P2 @3 ~4 G
let gini-index-reserve 0, X7 I" }& g2 e( Y- T8 e. g' T! T8 q
: f j: S2 q% m+ [* y6 N
repeat num-people [
g" Z! q( E. Q5 B set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
0 f/ q5 v5 I$ {( S9 X* O$ b3 | m plot (wealth-sum-so-far / total-wealth) * 1002 m. w# ]7 F' g1 E. x3 t
set index (index + 1)) M* ~+ I+ x: s5 B: D
set gini-index-reserve0 Z' o: w6 ~; H9 I
gini-index-reserve +
0 ^0 k+ ~7 m( V$ B (index / num-people) -
: @3 S/ C# q$ a (wealth-sum-so-far / total-wealth)
. e$ d; i4 X- G- c ]8 Z2 o3 n# H. P( P! _" b7 |
1 L" E6 F+ i" c: ^* ]0 _3 B2 @) I
set-current-plot "Gini-Index v. Time"( O, W0 o& \+ h. l
plot (gini-index-reserve / num-people) / area-of-equality-triangle! k# ?5 l9 Z# I
end" C- z9 n+ T$ ]" @
to-report area-of-equality-triangle
$ d* j+ P/ ` V) d% r- N) C7 u7 Y report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
5 d' \" j9 C) \" Aend |