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
. B) Z+ o6 s8 @ D! dglobals
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max-grain
% c' a+ _/ b! W+ j! g. ~
% ?% k2 c! ]# E0 j+ [$ V0 M5 d]
" Z1 o4 M7 X/ b/ I* L( [! c
4 H5 |5 W2 e5 e6 n4 |patches-own
9 G2 r+ a% Q5 a& z- Q[
9 ~3 j/ v$ f8 [+ @/ H$ s! n grain-here
* ~6 k6 O. M5 N" x- S- l; | max-grain-here
2 w3 }+ }$ |/ I: [, L9 ~]
0 H/ P4 X0 w+ u" @4 B) p8 p% F% [$ J. G5 I; ?5 i
turtles-own# y8 i1 p% w+ Y
[0 O- W; i4 B. _" G5 ~
age 5 [" M2 J+ J k: J1 q6 a
wealth - g9 Y( B; f9 i- l3 I
life-expectancy
- E& ~+ T2 A/ A1 L* N metabolism 3 }3 c4 {) f \5 x" f
vision
7 m) o5 N; K$ w- ^1 n( }6 x inherited ! B' i: f( X Z% B' ?( |
]
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: W- [" b0 Z1 Z+ u! G4 Z0 O+ d6 L2 k) ]( f) [
to setup: E- u3 e9 o3 X) Z: }, |4 X$ X
ca
" V9 m! A Z6 v4 t' \6 M set max-grain 50: }3 p/ P1 m _: W k. e
setup-patches! x" N# w7 D: @. Y" { }
setup-turtles
7 H( ]& g* X8 S8 J8 y0 A setup-plots
$ j$ F0 T2 [+ M1 _! K0 H& a update-plots
* w" c2 Q' ?4 w( T+ D8 c9 @$ I4 jend- {: D5 F6 J2 ?" [9 y g
to setup-patches
. V& U7 J* i3 _: ?$ Z ask patches$ M1 R& q4 Y7 D
[ set max-grain-here 0$ m' ~8 G/ J, t6 P
if (random-float 100.0) <= percent-best-land
) s# T% |: k! ~4 J [ set max-grain-here max-grain
4 { h+ k6 ]) h1 e/ j set grain-here max-grain-here ] ]& f, U/ \3 x& y! d3 S* X" G
repeat 5
Y, D7 w+ Q. X/ N' }8 b" G [ ask patches with [max-grain-here != 0]0 Q7 n" o( a2 W
[ set grain-here max-grain-here ]( T& T% R+ [7 r
diffuse grain-here 0.5 ]( U5 B! ~9 a+ R! A* v7 X
repeat 10
! R; V" g. I0 U* p: { [ diffuse grain-here 0.5] - T; z- c4 a. b8 v( d* Z) s; h, I2 ]
ask patches1 j# F# n: ]: j! o, v( X+ O
[ set grain-here floor grain-here * ]4 n% N& D. u0 p; S9 v* [: P
set max-grain-here grain-here + h9 M# E2 E/ u" b
recolor-patch ]
* M$ l5 d' A( k8 v7 U% z' u' Bend
/ _0 L4 m- `" _5 q- \4 Lto recolor-patch ! b# U" n& D$ |) n, q7 E
set pcolor scale-color sky grain-here 0 max-grain
1 ~) ^, G! {: a1 E0 a$ Aend
1 m* ?! ^! ^- h9 s0 Gto setup-turtles
L% G8 o" g8 b6 e3 H set-default-shape turtles "person", t& t/ U9 \& x! O7 X. C! ^' R
crt num-people
9 u, A+ P- u2 [8 y8 s( `/ I [ move-to one-of patches 7 G- M. P* g! m; o
set size 1.5 $ U) u8 s' X; W5 d9 J
set-initial-turtle-vars-age0 c! L4 T8 E8 r! |: M9 b; A: F, e
set-initial-turtle-vars-wealth
F) T" g0 z7 X% p set age random life-expectancy ]8 \ L0 _: S2 ]6 K" R: d
recolor-turtles3 l; c; k8 s* l
end
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to set-initial-turtle-vars-age
6 s8 w" q: p' t$ o8 J, Y$ B7 ?' T; L let max-wealth max [wealth] of turtles3 i$ p# I/ I. y* K7 N# O
' \% O1 f4 t7 U7 Y* D
ifelse (wealth <= max-wealth / 3)- ?+ k4 r# h, g& N' U
[ set color red
9 }+ c0 _+ j' K) P set age 0
# A" p" E; f- J6 d/ E face one-of neighbors4
4 A& ?* Z5 P; V {' w; }8 Q set life-expectancy life-expectancy-min +1 }: e6 J8 t( `. b) x. ?
random life-expectancy-max
9 k: `' o' U6 f C7 C/ ^ set metabolism random 1 + metabolism-low
0 n& Q Z6 ]$ V3 } set wealth metabolism + random 30
6 _. O0 l4 Z) k& z* R2 \ set vision 1 + random max-vision
0 Z% R6 Q y* M( z3 w/ S set wealth wealth + Wealth-inherited-low ]
$ }( I, W! F3 q& c1 e [ ifelse (wealth <= (max-wealth * 2 / 3))
3 g+ q( }3 {8 o% W6 }2 V: m [ set color yellow
1 k6 [! n' `+ R! ] set age 0
" Y6 t1 k+ |2 L face one-of neighbors4
; D& T: ^0 N2 _0 a8 \5 h set life-expectancy life-expectancy-min +6 [; p: T) f! Y
random life-expectancy-max + 1
" ^7 ^, B# g3 w( e; X: o+ q2 C set metabolism 1 + random metabolism-mid
0 z r$ j4 B/ ?# V" }$ ~& n8 D set wealth metabolism + random 30
" u+ Y; ~- }$ S7 ?- ~! N6 h set vision 3 + random max-vision h# W0 E" C) v! V0 H* ]9 l
set wealth wealth + Wealth-inherited-mid]# @) f* u4 ]* S
[ set color green
1 G5 _* m0 V1 |$ P set age 0
! \9 U1 ^0 w5 |- X face one-of neighbors4 1 F: t, Z" b; H. p
set life-expectancy life-expectancy-min +2 j& s7 ^" {# s% i
random life-expectancy-max + 2
- x7 w5 _/ y9 m( P- s$ ] set metabolism 2 + random metabolism-up
0 E) d* W8 F) l3 f( m3 ]6 X set wealth metabolism + random 307 f- i( S; i) X, `
set vision 3 + random max-vision" I5 K* e- a% g3 P( `
set wealth wealth + Wealth-inherited-up ] ] * F Q5 x) j$ `- u) N' Q1 s5 ^1 j
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end0 j! F# F6 P2 K9 A0 w3 x
to set-initial-turtle-vars-wealth
7 S- O4 T& o- C9 Y let max-wealth max [wealth] of turtles- Q8 e$ V) a; R( V8 @; C1 k
set age 04 m4 R. \5 H- J5 `
face one-of neighbors4
- z& E9 t n _% w/ X/ W set life-expectancy life-expectancy-min +
3 x% q3 y& T) } h7 U& s random life-expectancy-max - j9 `7 _7 S7 Q& i$ C, A7 @! n
set metabolism 1 + random metabolism-up
4 a( u/ ^7 s) g+ `/ l3 A# d1 T set wealth metabolism + random 30
1 T+ m2 x6 Y8 j5 F7 I set vision 1 + random max-vision
5 g* t' ]# P% W* }* xend0 }$ ?: x. v8 M8 c- s$ y8 u
to redistribution
; ], m! F! [' I$ I- Y( Q2 _let max-wealth max [wealth] of turtles& s0 o( y5 Z6 F5 _: {1 {1 {! |! O
let min-wealth min [wealth] of turtles
" D* G! v$ m, O& A: l0 R# eif (wealth <= max-wealth / 3)0 `! _- E4 i& Z2 ]' [# t
[set wealth wealth + Low-income-protection ]
0 g+ o% _6 m6 S0 m, k) f$ B4 @end( O8 U( {/ F* Q! w8 P
: _8 A( n4 ]7 q4 Y$ W: h- Lto recolor-turtles5 x0 i7 d6 t7 H1 ^1 ?4 c# l, Z: r
let max-wealth max [wealth] of turtles) c+ x; w; ]) V5 |( u& @3 G
ask turtles
. c9 T4 F# D/ [' ]7 o9 h. R4 u [ ifelse (wealth <= max-wealth / 3)
! S% _5 E" f N$ ^8 e [ set color red ]/ `# o: j7 a; c: A
[ ifelse (wealth <= (max-wealth * 2 / 3))
; e$ w7 B8 n5 }; I9 `# o u [ set color yellow ]
/ Y- ^) e7 |- Q, M- @9 ]3 A# s [ set color green ] ] ]" ]6 c+ x9 p% D: {
ask turtles [ifelse show-wealth?: i, w# K. Z2 @( a1 H; x
[ set label wealth ]
: s" p+ |5 r; B& z4 s3 Q% R [ set label "" ]]+ Q" l) ^5 {5 {8 z
end
! @- K( m" j4 Y5 b$ f+ z
( e( p" U$ {/ d, B+ B7 Qto go
; k& k I& `4 m, S: e6 V/ | ask turtles* C4 a- N, U2 d. J4 |9 S5 c
[ turn-towards-grain ] k1 j$ C1 V$ M5 O
harvest9 _3 ~0 w# F( U8 T2 t
ask turtles
% B4 x2 I6 B6 J4 g9 e [ move-eat-age-die ]2 u, @1 h* b7 C7 r, y
recolor-turtles
: W8 t1 {' z! d if ticks mod grain-growth-interval = 0
5 p8 h4 p3 O$ k! c3 K" E [ ask patches [ grow-grain ] ]
h7 c! ?5 p' L# x
3 k& b# z3 ~, x6 z" u+ v if ticks mod 11 = 0
( l1 Q+ } t- H [ask turtles$ Z: W! \' N! ]$ X$ g
[ redistribution ]]/ f. B' G) {, y
if ticks mod 5 = 02 f/ w8 b( E2 h. b: A
[ask turtles
+ }( O3 |) y$ M/ K( U- n. I7 T [ visions ]]* G& L: J5 K5 ^" d1 ~
tick
) u+ a2 G P0 g, W3 R update-plots" I4 M" P# ]" }6 u
end( o6 ]) k; l0 s( I7 R2 \$ g3 V
to visions( N x) s; x/ E" T/ G) i: p
set vision vision + 1
. Y- y1 E) N) F: t* E# l4 {/ @end' b5 a* s3 { U/ ^9 G$ e/ o; T1 I
% `3 r. X( O; ^- J4 y
% A+ K/ `+ O9 w9 G) N% ^4 J
: G2 B E4 R% G7 I6 x+ rto turn-towards-grain . p# Z9 U& z s, T r/ a5 B
set heading 0
# R/ h" ~2 |+ k( C0 N8 ` let best-direction 02 A' I, y# X8 V
let best-amount grain-ahead
- C6 |/ v& ?$ F. ] set heading 90
, f+ |7 C. F6 _2 I, b9 o4 | if (grain-ahead > best-amount)
. q7 i6 j! W k) f: _/ s [ set best-direction 903 G& p$ D4 v1 A4 u& g- [0 C+ \6 p+ f
set best-amount grain-ahead ]
- O, q _- U0 M d9 j/ m8 u set heading 180
! ^5 Z: M3 X+ Q' [ if (grain-ahead > best-amount)
. J" b0 E6 \0 H8 k) W+ v Q( \7 K [ set best-direction 180
0 u( u- D- m- R8 ]( N. H set best-amount grain-ahead ]
4 A2 b1 b( z' F4 u set heading 270% [8 p" {$ d5 u( x3 h/ o
if (grain-ahead > best-amount)
! ?# f% ~; b3 R# z& p3 }: X [ set best-direction 270
0 i; ?& M: c2 b) K set best-amount grain-ahead ]5 x- `' `! v6 i% o" m; O
set heading best-direction- |" F: `$ E" |1 E6 d, z
end
4 [" }, [- |0 v1 r* t
' m0 H3 h& p+ D6 ?+ y2 I% i8 m* e: g
, T) V7 l0 j0 d8 Pto-report grain-ahead " x# o2 i6 A9 ?3 r* y6 M
let total 0
) O' z3 \" y% ^" H3 f/ k6 ? let how-far 1/ i% Z4 S# @) m: ?
repeat vision% W3 J: H( [' N' g7 l. O- ^
[ set total total + [grain-here] of patch-ahead how-far9 b8 y5 f6 b" q7 f9 b/ y
set how-far how-far + 1 ]- t# d* _$ w) _4 g3 E" V
report total9 |0 r6 W3 j* M7 {$ t
end2 c4 w9 i9 b* x! _3 E
2 E8 X7 t& f b( k) ito grow-grain
2 O+ x+ q$ j1 n: @ if (grain-here < max-grain-here)
) b# v# d9 A. S. ]+ W% W/ M- c [ set grain-here grain-here + num-grain-grown7 m; {/ D" e2 z! O3 ^8 U( n
if (grain-here > max-grain-here)
g" ] B# g; x0 t, ` [ set grain-here max-grain-here ]2 R. o6 Y0 _9 ^ G( O' n* N0 ?0 }! C
recolor-patch ]1 @- m0 G9 i! h. |* H$ P8 x
end
0 s" X. t2 X" j- x3 m8 M7 H6 Yto harvest
& k8 @+ w0 x# g8 y! u0 D7 U ask turtles Y* t1 y/ F' W9 z7 x0 p b
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]2 ]2 H* g8 A" w/ F$ M
ask turtles
' ]8 b$ ]4 }3 A- K [ set grain-here 0* d* J; D f4 I: F5 A3 @
recolor-patch ]
* e3 t3 O, w) m0 E n" s$ y$ Y
- F% q# R2 l+ S7 ]! }end
1 ?0 s8 s: U% M& {9 |4 q8 Y& u) M% k
to move-eat-age-die 0 [) G; _8 z4 r' J9 ~! j @
fd 1
% G& i% O8 j4 ] set wealth (wealth - metabolism)
" n) |4 M# ~/ Z( i: x set age (age + 1)- P+ W! K. a% G' F* q9 j
if (age >= life-expectancy)# I; q9 P5 H9 {: R% N4 f' H3 Q
[ set-initial-turtle-vars-age ]
1 l+ u4 [) _2 V1 _ if (wealth < 0): V4 {4 V) M9 ~; y2 T* R: l
[ set-initial-turtle-vars-wealth ]. V7 L' }9 B2 }( H* N1 F
2 F: R0 c# w4 T4 ^1 M4 s. C
end
$ f$ F+ m1 ?( a9 e( s2 R( e r6 Q9 D) K; Z
8 j2 {1 b% ~) S/ E6 Q, ]to setup-plots' O& Y" a0 T) `/ d( u
set-current-plot "Class Plot"
" ~; N' p+ G R: X& R set-plot-y-range 0 num-people* z: [1 y' }6 m) K( a+ w4 F
set-current-plot "Class Histogram"
( x+ @ w* A( t# i/ b; O! Q) I set-plot-y-range 0 num-people
& G+ }0 m l. J+ R' g; t0 N& b$ ?end
9 k l. R, A* l% G- o! }! G1 e
to update-plots
% Z, Y6 ~5 Q5 U p! R7 j update-class-plot, v& I C L L' y9 w
update-class-histogram/ g& C, i" N% A: I3 K6 r% \
update-lorenz-and-gini-plots
* b) R- f( T3 s9 fend# `0 H% o2 t% M! n
; g" \3 T ~3 Lto update-class-plot
0 E* e/ |$ D- K0 W# ~/ w set-current-plot "Class Plot"
! j9 }3 ]6 J2 |' i9 ^ set-current-plot-pen "low"$ u! C) P$ o2 T, k5 d
plot count turtles with [color = red]" a- ^* w1 i/ l! ^% q# V
set-current-plot-pen "mid"
# X+ q$ X' H( a1 b1 n+ _ plot count turtles with [color = yellow]' p; a! B# _0 `: V" B. j* r
set-current-plot-pen "up"
& N. K8 t( z1 t9 j. e- B- N/ [. z plot count turtles with [color = green]
% o% `+ m: @3 y9 p0 i2 Uend
/ \, Y% ^* G9 E# ?3 J/ h
3 a9 v. n- F+ m( D( A# Lto update-class-histogram1 L/ V' p+ }- y4 e* O2 I) b
set-current-plot "Class Histogram"
" |8 { R; u) i8 i0 J! O) A plot-pen-reset w1 C; ~5 k( x4 O1 t; L1 A
set-plot-pen-color red
) G! M. R2 _5 Z- B5 D" [/ Q- l* ? plot count turtles with [color = red]
3 U! W$ T0 E7 ^# g9 m1 a8 A set-plot-pen-color yellow4 r9 x3 S% ^7 ]1 ]% i# e
plot count turtles with [color = yellow]) \2 o+ I1 G6 V/ ?! t M U9 E0 ^
set-plot-pen-color green: g( ^, M2 Y8 |; ]. I" A3 e
plot count turtles with [color = green]
7 j- W; ^1 O" ?' iend g; q3 p1 i3 ? S6 n; S- o
to update-lorenz-and-gini-plots
0 f- q+ i( v; v/ m set-current-plot "Lorenz Curve"
3 O8 ^0 L; t9 } clear-plot
2 C( @ |( J. M8 w9 ?+ O2 u2 e5 S: h/ L2 E6 z1 Q3 t
set-current-plot-pen "equal"+ Y- y+ r- h% A4 J- }7 S" P
plot 0
3 y! ?! q+ ^2 Q& c8 d6 D plot 100
( t2 M& _( z( T* c7 `2 w0 u( e3 I1 ?- [! G! d% Z/ l' f
set-current-plot-pen "lorenz"
4 R; Y0 p7 O. a' e. j. K L set-plot-pen-interval 100 / num-people
$ V0 n* y1 l5 ?4 b* v U2 x2 Y plot 02 e# O1 i/ @1 L2 |' P! r9 J
4 j: d# }/ b1 b2 n let sorted-wealths sort [wealth] of turtles
6 N9 M2 k/ R5 q! L let total-wealth sum sorted-wealths
" B3 Q9 l" p* y( F" R9 h let wealth-sum-so-far 0
9 t* i$ R. u0 _4 B- d3 U# W+ G6 E' U let index 0: i2 q' y2 _, h4 h, C, G% v8 \% Q
let gini-index-reserve 0
h5 {: u! Z4 A9 C+ s2 x! E3 x% ^* i0 L! u6 B! {
repeat num-people [0 C) N b5 P7 Q+ u# Z1 r& b- e
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
+ J B4 s7 @; o8 O8 k plot (wealth-sum-so-far / total-wealth) * 100
5 I2 o7 {! p! L7 s: n6 v" a set index (index + 1)( v G. w9 h+ Q# g
set gini-index-reserve
, i, [# W9 R- Y0 j gini-index-reserve +
$ z0 c+ z/ ?7 h: W6 ~/ g (index / num-people) -$ I4 o$ U w9 G( B
(wealth-sum-so-far / total-wealth)
$ } U# J+ f# i ]3 {' G! z4 j7 w$ h: C9 Q
& @9 T- u3 g) q" Y" W! X2 u set-current-plot "Gini-Index v. Time"* x& I; P7 S f4 d; P
plot (gini-index-reserve / num-people) / area-of-equality-triangle4 U1 i! ^# q* t$ f* g- w( C: `
end
% D1 n" k+ O: Z. E5 ]( V; o e5 }to-report area-of-equality-triangle
) z/ K3 X) J' F7 ~ report (num-people * (num-people - 1) / 2) / (num-people ^ 2)* V/ K9 P1 G- J% m/ U
end |