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( a8 \& ]0 \ a: A% P& ?- d4 ~
globals9 H; m4 [* |3 _' ^8 p% K1 P
[- E" B! U# N5 p' L' m7 i
max-grain " W. V- N& ~# o* I
: G; @6 g Y( Q) Q- f9 Y. _
]4 S3 N5 n/ g2 M7 F+ c; G, P
. o: x3 e& h6 ~ r j# t" \: Apatches-own
& z# z, R1 n' h( G' c1 Z[; ?* h, i! }3 x* O8 a: q
grain-here + O( G: I/ m# x3 ?& A
max-grain-here
2 o& o$ V5 G. |4 i! x]
2 p1 i& y* ]2 B
1 l; R5 D+ Q9 X/ lturtles-own l& H+ f, M8 l8 q
[' t) ^* i3 j0 @# b! ?& _
age / M4 L" r: [9 v* T5 y9 v" V
wealth
3 \6 Q- ~- A; f" K3 K life-expectancy
$ ~: o# m; |' n metabolism 4 f! v% |- H6 D5 X4 C) O
vision
8 x% d! ^1 s1 [' Q inherited , e: O) o2 P. [' Z% l5 X% y
]
: s: ]# o! n1 E' V# y8 ~. `
4 B4 G3 F; _, E( m3 F3 _6 C( v6 D: y7 W8 z
to setup
0 ` L% Q1 j; ~1 q" g ca z+ a. L/ `! j
set max-grain 50
! C( M. h+ W9 W3 a" N( g* k( P. A setup-patches
: _3 L) t, @5 V- i; Z setup-turtles
/ q2 ~# _! n6 s1 A+ L; l setup-plots
2 x# d" S& \; r8 G update-plots/ M* O- ? d U, c. R! k- M# T& |
end- ~& n8 ?+ Y# h; Y; T* _3 g1 ~/ Y
to setup-patches2 @; q1 f- ^: w) V4 ]4 X
ask patches0 F% V2 a4 O' O' a( {) h" l
[ set max-grain-here 09 `# V: U& h* ?3 a+ j; ?3 }9 h
if (random-float 100.0) <= percent-best-land
l: ?; x2 P+ V: a [ set max-grain-here max-grain
6 f* S- n9 `5 j& b( H2 i0 p set grain-here max-grain-here ] ]1 e1 F8 u6 ?9 }9 v2 y. V( U7 H
repeat 56 A1 z2 y' H1 _6 h
[ ask patches with [max-grain-here != 0]
6 {8 t2 ^) I- G6 j( e) v [ set grain-here max-grain-here ]* Y, Q6 Z8 U# J$ [! e# c
diffuse grain-here 0.5 ]
# b0 f, h' H4 g: I0 S7 ] repeat 10
( `! Q0 `" a( q$ e3 } [ diffuse grain-here 0.5] 4 F z, X/ c2 ^, `) W! J. X8 \
ask patches
2 X7 A, _* [( h4 D4 H2 H [ set grain-here floor grain-here ' X! n. J }7 O
set max-grain-here grain-here 4 ~3 u3 Q) Q1 j' h
recolor-patch ]: \; v$ \3 Q9 ~4 u( P' m8 Z
end2 ^7 Q U% H5 z' l, d
to recolor-patch 0 r. z3 R9 w& \& ]7 E2 S6 W
set pcolor scale-color sky grain-here 0 max-grain4 f5 b( p) y+ |1 k1 D% q) _& b
end z: F2 f# \- V0 g4 C
to setup-turtles6 v( j+ d$ x G1 [7 r+ t
set-default-shape turtles "person"
* y5 Q6 [( j% [+ O crt num-people
1 o t g" q: V/ r: y [ move-to one-of patches ( J. w% x! K4 R( x" p
set size 1.5
p! T% Y7 W) Z, [/ v" b9 F set-initial-turtle-vars-age
2 O% u5 |4 W: V% w: R6 M set-initial-turtle-vars-wealth7 o0 m% x9 C$ i: \
set age random life-expectancy ]& G4 y0 M( S: g: y$ d
recolor-turtles/ [0 }' _$ \5 [% \( N8 i) u
end
% Y1 M! f5 d& t
) R9 Q' m+ Z0 ]to set-initial-turtle-vars-age
2 k; |# r$ }5 W* { let max-wealth max [wealth] of turtles6 Y$ Y, B. U+ t8 z
8 g- J6 g: c7 {2 ]
ifelse (wealth <= max-wealth / 3)( Y" l; u( a& C2 w: c5 q
[ set color red
( ?; [8 g7 E t F set age 03 ?# l0 e9 h. t/ W, p& |# r
face one-of neighbors4 ! J& I; C( p$ X) Y5 T% [2 a; _
set life-expectancy life-expectancy-min +# \# E0 W+ V3 w# q6 N+ T y
random life-expectancy-max % \" B8 x7 _8 Y" x3 e. m
set metabolism random 1 + metabolism-low) Y. b t/ p/ T
set wealth metabolism + random 30+ l/ g" f- w; h" D% m" t& J5 v: C
set vision 1 + random max-vision
1 |8 |& E, S! s. v1 J1 y# L) r set wealth wealth + Wealth-inherited-low ]
7 _1 w' N: b7 B6 {' C, y [ ifelse (wealth <= (max-wealth * 2 / 3))
" Q4 e. \5 C% p% N. e: |# Z: l5 K! O [ set color yellow ) F" A3 c9 B/ e% |( k
set age 0# W5 y5 `8 P) O7 b
face one-of neighbors4 0 k8 y2 @2 _- `0 Q* _' ~
set life-expectancy life-expectancy-min +
$ B) R4 M8 Z" w+ Y random life-expectancy-max + 1" T# Z+ j0 _. ~" c2 q1 A# S/ I3 z
set metabolism 1 + random metabolism-mid
0 _; e4 @3 E& c+ U9 P2 D' |5 c set wealth metabolism + random 30/ O& }3 m% O. Y, {
set vision 3 + random max-vision% Z- v) S) ^7 [
set wealth wealth + Wealth-inherited-mid]
/ p) u5 E- M, B2 A [ set color green }" u9 L/ o; @ m% {. f+ |* u
set age 0
4 s% w5 }6 z( C) } M8 a' Y' p face one-of neighbors4
4 F; X W" h1 n- t, A0 a7 s set life-expectancy life-expectancy-min +
+ p/ f) j( w9 k6 s random life-expectancy-max + 2, z4 l$ O0 F% J* Y, _0 w
set metabolism 2 + random metabolism-up ^! _( A: I+ a5 R9 r" D# K$ _# a
set wealth metabolism + random 30* s4 t! e" A# J G. e
set vision 3 + random max-vision8 y) P) [' q9 `6 M
set wealth wealth + Wealth-inherited-up ] ] 5 X% h5 x8 W' S4 E3 ^
$ `4 i2 f# @4 K& q: |4 J7 k+ J
end8 F2 g% `% Q* V8 ^
to set-initial-turtle-vars-wealth* `- M6 l. |# I$ F
let max-wealth max [wealth] of turtles
4 A$ Z+ L" Q) Y set age 0- R3 O% {6 P5 U8 m- { a2 h7 I/ j
face one-of neighbors4 " }7 \* d- i6 s9 d" G; \
set life-expectancy life-expectancy-min +
$ s) ^* |9 a$ b9 E random life-expectancy-max
/ ?9 r& x2 e3 X6 l, a set metabolism 1 + random metabolism-up
6 i9 m7 w/ c" d- R. b2 F% ` set wealth metabolism + random 30
2 ]: ^4 d$ q" ~. u set vision 1 + random max-vision 1 t; [2 _3 a! u& g( o0 U" b
end
, A- [( u; K. R+ ?% sto redistribution) I: t! h$ H0 o' d1 l6 S; |6 h
let max-wealth max [wealth] of turtles9 g$ |( v' b% O! D" I
let min-wealth min [wealth] of turtles/ F* }# T" w: v8 X+ I7 r
if (wealth <= max-wealth / 3)
- U! c! {1 @2 j9 L* x1 a3 k! \% f [set wealth wealth + Low-income-protection ]; D8 Y; P( |6 ^0 ]
end8 D. ` [0 o! M% I0 [. ?* w
/ q6 s- z$ L- h7 r/ zto recolor-turtles! ~6 | S) Y2 M0 F
let max-wealth max [wealth] of turtles
9 D" n F! X' I' m& N5 K/ @" x ask turtles
" M( j* c' k* Q0 z [ ifelse (wealth <= max-wealth / 3)
+ @& g9 Z$ C; q7 V, G% S8 ?# c0 P" f [ set color red ]$ m/ a# @2 n! E( o6 z- `
[ ifelse (wealth <= (max-wealth * 2 / 3))
9 H5 Z6 f+ v: C7 q [ set color yellow ]
* |/ f4 _+ c7 d9 W- h, ~ [ set color green ] ] ]6 Q" P0 o8 F( t# H4 I; x2 ]
ask turtles [ifelse show-wealth?% Q6 X- m" t W7 a
[ set label wealth ]# m! I) ?2 O V- t5 ?4 Z- ~
[ set label "" ]]
% r" E+ V- G) H* C3 m1 wend
) j* W/ w) ?/ r6 r( Q' c4 Y
. Z i3 ^4 r3 X. T0 M. a/ Xto go
6 }+ o6 j# G2 M ask turtles
4 C( Q" ~+ V, O [ turn-towards-grain ] ! C& q" ]# P& ~- \. t1 X
harvest
. _8 r5 h* c: T6 e6 u l ask turtles
+ I7 _( J- }8 S# q2 Q. s: z/ D [ move-eat-age-die ]# T L1 n. ^: M# u% ]/ K" E8 w( {3 X0 y
recolor-turtles
1 x/ a5 ^7 b7 l) h5 j. I. M if ticks mod grain-growth-interval = 0# _# Q; u, t4 N$ E
[ ask patches [ grow-grain ] ]6 }$ r+ L' O) o9 N! D
9 U9 Z+ F4 }2 K$ J
if ticks mod 11 = 08 R5 B8 |# X, J( J; K1 J
[ask turtles& H( ?& j& ]3 o* m2 i1 W
[ redistribution ]]) _) f) i+ f+ q* T2 i
if ticks mod 5 = 0; @1 I8 O5 s1 R/ `
[ask turtles
/ u8 Z- o- C2 q+ F4 v3 g [ visions ]]$ ]+ `/ ?: r! m9 G$ b
tick
" N) D$ q& u1 F update-plots
! C B: ^# |8 x: {# O; q2 Jend
: c2 H. W, f hto visions( H! H4 J W$ w- H4 X0 a
set vision vision + 1 / A, o2 x' h* j- W; z' k' [$ s2 d! b( q
end, a8 E4 ]- s; ~* [7 J6 G5 k
8 }. B" q3 b* \* o% W
2 e8 w8 b. N3 m' I7 T( H6 x/ E
) a4 T2 H" A5 |1 ^4 Jto turn-towards-grain
: V' ^* W" J' k! Z3 O& S2 o set heading 0- Q! ]) l) H$ m2 B! K/ z3 ?$ `% ^0 n
let best-direction 0
, `* o0 `) _8 ^% n; T- } let best-amount grain-ahead+ x9 {' q8 j5 \- ]& _
set heading 90 P0 }3 o; \- k
if (grain-ahead > best-amount)2 {4 T! x7 I% ~: N# t5 R
[ set best-direction 90! U0 X \( x+ R$ I9 ? I
set best-amount grain-ahead ]1 U. i/ n/ q7 H. ~7 U: V- L) V* c
set heading 180" W5 p* D8 Q' C) d" \; t" x* H
if (grain-ahead > best-amount)
, I- d* X$ N5 m& g" w. A; i [ set best-direction 180$ _ e$ ]; @0 A9 }/ t
set best-amount grain-ahead ]
6 ~5 _( M% E9 w5 ]' a* M# A. K set heading 270
$ D! B/ j2 x3 X3 i# R if (grain-ahead > best-amount)
) H3 y+ r$ q: \; i, F$ o5 ^. n [ set best-direction 270
9 z# B( {5 u) G) {6 Z: k set best-amount grain-ahead ]
( W: V" R! W0 B! A% l5 E* L! B, l set heading best-direction
$ J2 K# z$ V7 e( Z: ?/ R0 ~end
/ i2 R" D& i9 p& V' }+ N
9 d: ~! g1 y: \! @! X$ \9 M) q, Z+ d+ S8 @# w1 D1 J
to-report grain-ahead # Y9 [7 P/ b; M9 F
let total 0
( V- `$ p2 j m; U9 m2 E) g let how-far 13 ~/ n0 F4 |5 j8 x
repeat vision
; a% k- f3 t0 [ [ set total total + [grain-here] of patch-ahead how-far
' \+ O- A M a" I% f1 P7 W# v set how-far how-far + 1 ]! o D: |' ~$ D Z3 ^6 o% H
report total b5 Y- w# R5 B: o0 V
end" K& y6 s3 P% y I
; D& o7 Z. ^/ d/ Mto grow-grain
6 {# U) \: x3 Z; T6 g% d1 [ if (grain-here < max-grain-here)
+ c! U: \4 U0 X! Z0 o [ set grain-here grain-here + num-grain-grown0 _- j( i' V' u" X L0 c: Q
if (grain-here > max-grain-here)
6 Y( x, a' k4 e' |) P5 V7 J [ set grain-here max-grain-here ]! U! l, Q9 [- W( S& {$ r7 \) I0 |
recolor-patch ]
* |7 X9 z7 c/ H+ f1 V6 Tend
. G6 r4 a! j1 d" G5 Kto harvest
* _2 K: r/ n' J' K* I ask turtles4 O' ]0 m$ [! i0 h. V, S8 H, V
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
8 Q9 b) ?$ \$ R0 d. B ask turtles
& s! j- \6 W: {+ k& z* H2 N; s3 a3 ?" _ [ set grain-here 0& T% V8 ]7 b7 ?9 p0 ]% t) F
recolor-patch ]) J6 k/ t+ _: O3 d3 ]
{+ p( ]2 w6 p W9 v0 g, Oend1 Z5 y( K5 s1 i( U; u7 P5 }
; y6 ]+ [; N8 P8 A6 _: zto move-eat-age-die 3 b( @' ]+ c' j0 ?6 T
fd 1. ^0 w7 a5 o3 k3 `: W1 L& D
set wealth (wealth - metabolism); Q& F' _5 u; D" N; g6 C
set age (age + 1)7 v" L9 B2 v8 Y! K9 J
if (age >= life-expectancy)
: Y/ M) D4 \8 N) B) d7 Q5 d& w' X& j [ set-initial-turtle-vars-age ]
2 R+ [! Z: f$ ~2 i4 P if (wealth < 0)! {7 B/ I% d. x' h0 y" z
[ set-initial-turtle-vars-wealth ]
7 ~2 ?# S; t( a1 I6 R- P 6 u( u6 c3 S( c' k7 A
end
% E4 ]9 j O$ }1 l
: c4 T- Q# g i3 D
- w7 y; J8 h2 S* F* Dto setup-plots7 v, Z& _( d2 a/ r, Y7 i4 e
set-current-plot "Class Plot"
% z, H. G4 j! W( g0 Y set-plot-y-range 0 num-people
1 g3 f1 l* J* D& v+ f( i set-current-plot "Class Histogram"" Q: D; v* y- O4 o, n
set-plot-y-range 0 num-people
- }9 U# w& `9 l9 e* q- c8 ^end
: L8 R3 { [$ N. O. S+ s$ D" A3 }5 c( s; F; Z
to update-plots
% Z d9 K" [, J3 b7 r4 g update-class-plot. z% F3 f9 y5 t* V* o9 \
update-class-histogram
: M& t O: y" R" h% d" S! m update-lorenz-and-gini-plots2 x0 J6 J; ?4 P
end" v- \: i8 y' p( _2 L3 t
" o j6 P. \3 D
to update-class-plot/ S% N' R% E5 q& W0 j) ?5 l# T: q
set-current-plot "Class Plot"
! D7 _, ]/ t2 n1 W9 v5 O0 J set-current-plot-pen "low"2 q0 ]% I! ?% q3 L8 Z# C( R
plot count turtles with [color = red]
f: T4 G3 c: I) t' P: {* N set-current-plot-pen "mid"
% l2 s* Q+ i5 h: M* ^' `: L plot count turtles with [color = yellow]. i6 h% W& v: \0 i) N& _
set-current-plot-pen "up"8 v5 ^; @% [* i3 N$ ]8 J
plot count turtles with [color = green]
; p8 G6 }! A' N) @- K8 e, H3 zend
# I$ @7 l8 [3 A: h6 ~8 i
, y: ^0 h# t! H; G% c7 Vto update-class-histogram9 |7 ]! D" `8 r$ M
set-current-plot "Class Histogram"+ a3 O( g/ {5 E& E( Z$ W: [* l
plot-pen-reset8 l! n3 c$ A1 @% Z0 P8 I1 M% F
set-plot-pen-color red5 C5 g0 w! B0 z5 K$ ^4 C
plot count turtles with [color = red]
: U9 f# f, O4 g1 Z set-plot-pen-color yellow
5 v4 m* B3 I* W plot count turtles with [color = yellow]' s* [6 \' ]+ C8 c+ s" [
set-plot-pen-color green
! `' @( B9 h# w2 e: ? plot count turtles with [color = green]* H0 v% M9 w0 ?: H
end8 j$ {/ M2 J. v6 y0 }
to update-lorenz-and-gini-plots: M2 R, N- Y4 I
set-current-plot "Lorenz Curve"
" |& k6 o, T* U) @ clear-plot
' j/ B: i) Q. L) S" c n" k) J* l; c6 n L2 \. M- h- K
set-current-plot-pen "equal"8 c) D( R% j' T% x: m3 @+ c
plot 0
! a9 M. i$ \& v( c K plot 100
# o: E7 t" C8 R( j0 c% j
+ H6 |/ w5 N+ G) ^ set-current-plot-pen "lorenz"+ H4 V3 m1 e) {" b9 v. n
set-plot-pen-interval 100 / num-people$ b3 D/ ]: ]. u/ o( o6 D0 G% J( L$ i
plot 0 b9 Z. D" F, z, x
& J4 m! y0 S# Z6 @. v- f
let sorted-wealths sort [wealth] of turtles
' t& S( d$ y+ _. o5 ^, a9 ` let total-wealth sum sorted-wealths
' S R7 g. ~& Y1 Z let wealth-sum-so-far 0' C5 Z+ ? @- |" N# C
let index 0
. p# s' G, y( y. l let gini-index-reserve 0% A5 @+ b |3 I! J/ h% I
* r" C# f3 x2 ]" \3 c! a8 a5 u repeat num-people [" M) k; z( K. E. Y
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
. L: o! [3 H$ e" t9 d# @3 W2 A- v plot (wealth-sum-so-far / total-wealth) * 1005 ^ ^$ E" V& `+ T0 g, Z
set index (index + 1)5 ` M1 V+ H* }4 i
set gini-index-reserve2 x# k3 F; \7 ]1 K1 R2 r4 j/ u" x
gini-index-reserve +
9 y0 X" O9 b" K! i% n& U4 X# f2 l& B (index / num-people) -
3 B" h& J- ~2 k7 _( f8 t$ T (wealth-sum-so-far / total-wealth)8 S; e- j2 { ~6 f( }. W; z8 h
]6 h: w& w" g9 t- r2 ^4 R5 T: N
3 N$ N- }( @) q& r0 _' d: X set-current-plot "Gini-Index v. Time"( r/ b& M) }$ ^! P2 @7 V
plot (gini-index-reserve / num-people) / area-of-equality-triangle1 k& c+ {9 t* D* E
end0 T5 `' w! c% [* ?- E
to-report area-of-equality-triangle n6 d5 l$ v2 V; x' v8 L) J
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
$ Q, \7 E% a) {) m/ S# _* cend |