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5 `4 x9 `+ W' x w( a4 I# b/ Y8 I9 P
globals
% {0 c6 y1 I' k* E/ _' U" V[
; P) O! R& k# b, N max-grain
# B) ]- t' t( j7 N3 D$ i1 o$ Y0 O; t
( m' I4 @" H5 ^]
( V# I& _/ W8 g3 E) }# k
& h1 u9 }! Q0 h- n6 Cpatches-own
2 W* Z s4 K. E n/ }+ F[3 h9 d' Z2 W& y
grain-here U6 L6 l% K, X8 y6 i: a1 |3 C: P: _
max-grain-here ' l. c5 h$ E) k9 u6 ]# l
]- F( _3 b9 ~* C5 l: S5 W
2 \) V' Y( G' l" d9 D
turtles-own! S- n. i& N9 r. k: E9 J
[
/ d; n+ _$ H; t) I age
7 Q5 T3 W- k- I: j wealth 1 u: P! f, \2 ^
life-expectancy ) o! _$ a) Z* J2 Y" m
metabolism
' q) z( C! C' _5 b vision4 u% p3 w8 Y; Q; b( W$ b
inherited 5 |) D1 B' O% K
]& O2 I) k: F7 I
+ `5 A7 ?5 ]! F" C# r' ?+ u
% X* d* P( X1 q) x, s* j* _to setup" j C5 p# {) `7 p; L8 Q) [7 d
ca
3 R8 c# a) |9 @& K6 Y j set max-grain 505 V0 \ |) N" ~6 {! W% [* c
setup-patches/ ~' R. @% a8 m
setup-turtles
) u3 n6 d# [8 X7 l9 [ setup-plots
o, V6 Q! X* d update-plots
/ {5 t, K ^' g9 E' v0 [end% K+ g* `3 o' O& k& C4 f: Y* _
to setup-patches
9 s# l, w5 @# b& O ask patches
5 w# O' K0 z$ @% c* ?, O [ set max-grain-here 0/ l+ g7 H: z* t5 K6 }) [4 `4 A
if (random-float 100.0) <= percent-best-land+ N! H& }+ i1 [& C9 d0 @$ x6 P
[ set max-grain-here max-grain
1 G4 k6 c$ L! v1 G: ]6 |: l8 P set grain-here max-grain-here ] ]
& s" f' W6 i q! \) I repeat 5
- y ]- A9 ]& a [ ask patches with [max-grain-here != 0]
- n! M- | G. D- f9 `' e [ set grain-here max-grain-here ]
/ s4 C& O3 M8 l diffuse grain-here 0.5 ]8 Y1 y E6 P0 Z# w
repeat 10
, {. H4 Z# G. N* u- G7 E [ diffuse grain-here 0.5]
2 q+ R, z0 a! n- G) k, \ y7 D ask patches
: \- [5 _; i, D \# R' k9 C( h [ set grain-here floor grain-here
# V9 R! l7 r8 O( R+ [ C' Z set max-grain-here grain-here $ _6 @* O" V, K& V5 e
recolor-patch ]
4 z, f! `- x3 Y1 Lend
5 N: t$ I" u' {2 mto recolor-patch
0 @/ V3 z- g2 P- b: k set pcolor scale-color sky grain-here 0 max-grain
/ a. V* r# |& Y- M$ j3 K, send" H4 ^* U& k9 w! k
to setup-turtles
1 x& D- ?+ B4 O V9 H* g% ?2 ] set-default-shape turtles "person"
9 \$ R7 n7 q5 U3 l8 c2 ~ crt num-people3 ~: A7 \' \& I7 n) X( b0 l7 I
[ move-to one-of patches T9 y) ]. _6 ^1 u
set size 1.5 : \. `4 I1 v: h3 r1 n
set-initial-turtle-vars-age
& q: q% @9 b$ K# ` set-initial-turtle-vars-wealth
' w6 j7 P& S H7 t! ]8 |! m set age random life-expectancy ]! c4 R! L7 l' f. a
recolor-turtles
& K, v$ A. _9 T' J7 a, s/ lend& J: _& f/ I# ~+ {5 q6 W
4 D# p: m i' I$ t+ q, jto set-initial-turtle-vars-age3 z# J& ~+ {. h: N0 b+ X( i
let max-wealth max [wealth] of turtles
1 D+ @* w- ^. P
3 `9 f" G5 ^% Z$ w. s' \. G) x ifelse (wealth <= max-wealth / 3)
: e# x, p1 A: h- M- i2 K [ set color red & `& ]6 d, f" h% V) ]
set age 0
% n) R3 R* G0 Q! u# {' A0 A4 x% J5 @. f face one-of neighbors4
" X" H: _. K" A. u9 v3 r+ z" F5 s set life-expectancy life-expectancy-min +1 d8 l; o! t4 ~ ~1 ]
random life-expectancy-max
* g0 v5 {+ d6 F( K set metabolism random 1 + metabolism-low
0 @' c5 y2 {5 j; U set wealth metabolism + random 30
$ M7 z: B2 p( V. D( A set vision 1 + random max-vision1 q/ N# b9 V4 z( r
set wealth wealth + Wealth-inherited-low ]
+ y- x7 ~2 J% |9 c [ ifelse (wealth <= (max-wealth * 2 / 3))- E& v' H8 x+ [# r% u. {
[ set color yellow / P6 ?! M1 f" K
set age 0
6 B$ K1 u+ W _! s2 M face one-of neighbors4
; `- W. R# |( [! y$ M set life-expectancy life-expectancy-min +
( b I; h, n$ T- K i# K8 B# y random life-expectancy-max + 1
8 H% Q! Z0 ?, ?3 ` [' `5 v set metabolism 1 + random metabolism-mid# J, K2 E8 n5 K6 h# K9 o: f) }% z
set wealth metabolism + random 30. b, p. A( V# |6 Z( B
set vision 3 + random max-vision
) A* F: A! Y# R9 L' y set wealth wealth + Wealth-inherited-mid]
! J4 d3 b! o" \9 _/ O, V5 l4 D; G [ set color green * m1 u" p. F6 w( ?
set age 0
0 W4 I7 ^6 |% I" a8 ^# O a% R; v face one-of neighbors4
" `, s2 @! w( S: d/ H set life-expectancy life-expectancy-min +
' G. u6 u( F% p" h+ h" n random life-expectancy-max + 22 T( q' {( ]' l0 ?2 o" N
set metabolism 2 + random metabolism-up4 ~8 \+ c4 O4 y4 c$ X* h4 F7 s
set wealth metabolism + random 30+ A# j9 ^3 `: I
set vision 3 + random max-vision# b2 w. Y2 z P; O
set wealth wealth + Wealth-inherited-up ] ]
% C0 u$ ^: m; L* J) r, a) W; l 7 u0 D" R6 f2 a4 {! i( T
end
; I4 ?0 n8 {# W( G* d9 u( e% w' nto set-initial-turtle-vars-wealth n& q$ n$ f1 h" d
let max-wealth max [wealth] of turtles7 _2 f0 @- x# x! U( Q5 q7 _! ^
set age 0
% Q+ }2 W3 h, W5 ?( G face one-of neighbors4
4 ^, V- ], x' M set life-expectancy life-expectancy-min +" r: W1 V1 |! P! v f/ b2 u
random life-expectancy-max
* G* Q& D6 O2 m- k( Q+ ^ set metabolism 1 + random metabolism-up
. c9 b: T# x5 _- h5 p" X set wealth metabolism + random 30( t+ e6 G( a- l- q. n* l. o6 F& ^* o
set vision 1 + random max-vision
, N* W& B; \9 \5 h7 T3 Y& Jend" H7 j) X7 M9 g3 ^2 W" T
to redistribution
! u/ L, N. q1 f( N/ t% Ylet max-wealth max [wealth] of turtles
% a/ m; I0 w" w6 w( s vlet min-wealth min [wealth] of turtles
% T9 A6 f P( h: x# ^4 T2 _if (wealth <= max-wealth / 3); x+ i- M# Q y( d4 h- s
[set wealth wealth + Low-income-protection ]& Q" E4 W1 ]2 x& a: g6 n. `
end0 S. r! t! {" `* { t
2 c! Q3 O: W7 uto recolor-turtles
) v" J8 z2 g0 R8 l4 g' ~* K9 B let max-wealth max [wealth] of turtles5 q4 z8 j0 z, x- `
ask turtles- b4 Z$ |8 ]) T# I; C. [2 z2 J
[ ifelse (wealth <= max-wealth / 3)
7 F$ |3 K& v5 C( m+ B6 Q6 X1 r [ set color red ]
' K. h6 ^4 x3 g# H0 O( o [ ifelse (wealth <= (max-wealth * 2 / 3))
) E+ N# f# F8 ~( a* Y" Z [ set color yellow ]
$ F* E( N6 b3 Y2 [! b! ` [ set color green ] ] ]
# k8 g; U9 u# y* R) {+ g8 S3 } ask turtles [ifelse show-wealth?
' E9 {* o, h6 x' C0 a [ set label wealth ]
8 A& W4 D- v3 q* W [ set label "" ]]5 r b! m2 L) b1 p6 y8 I
end
3 \ C% J2 X5 o$ ]$ _+ ?( r* z4 u
to go
7 p, M1 c1 C4 b ask turtles
: ?( ~" W+ V7 x7 `( Q$ r7 \6 d [ turn-towards-grain ] . U. i/ F7 {0 E* C7 P
harvest! a) C+ C: w) G! Q
ask turtles
; U/ b; k; ]6 m [ move-eat-age-die ]
: s, X ^; j; \ recolor-turtles( k0 g1 m( ^3 Q& ^6 m1 B: v
if ticks mod grain-growth-interval = 08 H! c8 Q. `% g6 N7 ~
[ ask patches [ grow-grain ] ]4 G ~8 H; J) i( x( D
% ~$ E% U( K, v
if ticks mod 11 = 0
# f+ |; F5 l- c. [: |' p [ask turtles# Y# L& S' `" }3 n$ [$ g
[ redistribution ]]6 b7 g D8 M, G, t1 B
if ticks mod 5 = 0
6 V1 a8 C! h- i9 L% x) X [ask turtles0 m6 X* H# L: h8 C
[ visions ]]
0 g) G# F% H6 j4 S) F0 a( u tick
! h7 `" I) t$ E- p update-plots- D! D, N x* ]% [1 u7 W
end1 x1 B& ?) _2 \! H
to visions7 ?9 S- a3 l1 D! ^; v9 Z* E8 v
set vision vision + 1
: s% `1 q& k' I. `end P6 {& \; q1 K- Y5 X. a
* l8 y4 g9 }# {. K9 F( L% k, r
! U' R) c# d0 ?- Y$ q0 W! a. |5 L' l
& x* J# U& \. C# J6 Q/ Tto turn-towards-grain * u( A7 ^2 u6 e) [+ I5 S
set heading 0: R+ W3 L2 u) r& ?& B6 ~
let best-direction 0
1 B+ b% @% U- n' } let best-amount grain-ahead
5 k( R0 {7 V( O" o set heading 90
+ R0 H# A: v/ A5 F- R if (grain-ahead > best-amount)
6 _; R4 ~3 j4 ?4 } ` [ set best-direction 901 W6 v1 g u1 O0 }; G+ }
set best-amount grain-ahead ]7 ~) V# _ J5 d
set heading 1809 x* Z6 `1 a0 R8 [3 C- t
if (grain-ahead > best-amount)
+ z3 J9 s @+ }1 W" e( U [ set best-direction 180
$ ?$ Y; X8 z# g7 J+ y) A- Q( [. v set best-amount grain-ahead ]. b/ `# j( Z6 B% w
set heading 270$ h3 K( ]- Y- Z2 u
if (grain-ahead > best-amount)
: I9 a! }$ n @; ?1 s3 O [ set best-direction 270' ?. k2 b5 }( [( ]) K6 A; T B
set best-amount grain-ahead ]; C0 H( Z7 O' j- G. e' ?9 B: C
set heading best-direction; k3 m& E/ m8 j: V3 X
end4 q0 O4 |, `9 l
5 D. C# R: T1 ?3 n) M# i( O7 M
. v4 _4 h, l, j$ @* W/ n4 e
to-report grain-ahead 1 n8 I- C5 q# V+ L
let total 0
8 J7 N! q5 v2 G) F let how-far 1
& J9 G7 K- ^- r3 R& g repeat vision
3 {0 w" C! X- S* q7 `. K [ set total total + [grain-here] of patch-ahead how-far
7 ^/ N; \( c5 X3 F; L0 ` set how-far how-far + 1 ]6 a0 t" B$ d- d
report total' \* a; f1 X/ G# _( _4 Y
end
1 o- J9 E! y4 J# t! T$ f
2 M T! L2 T8 a8 a. fto grow-grain " f) y) c4 V+ L8 R
if (grain-here < max-grain-here)
9 T+ b8 Q" ]. q' N$ F5 P [ set grain-here grain-here + num-grain-grown E8 z0 E+ C a k% u3 L
if (grain-here > max-grain-here) " q6 t1 J# f$ Z4 q* q
[ set grain-here max-grain-here ]
$ f( q$ K! O5 e; {+ N* N! H9 y recolor-patch ]
: l9 g0 M) t, E# v4 wend5 \. v& _6 \& P% y8 @- i
to harvest7 X5 c" k2 P+ k+ u6 F
ask turtles: x" L2 B0 S9 C1 x3 ~' a5 T! s
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]# a* u5 c* L0 D6 V I, t
ask turtles: H6 S' H9 ]1 U3 D+ P' C0 O
[ set grain-here 0
2 B( }5 w V' W recolor-patch ]
) }/ V/ w$ K4 `$ X, N1 o) t; [; H
* y" k3 i& w8 U4 _% O* @end( e' ^2 Q! V) _* ~/ s# W
" m$ _* x. o/ S# z6 ]7 e
to move-eat-age-die
0 `1 }0 h( W# @ |8 T5 i: n" x fd 1
+ K, L( K, A0 L" X- C @7 S set wealth (wealth - metabolism)
* x0 a4 N. k! d9 A+ b$ D set age (age + 1)
" V; _, q0 f! L if (age >= life-expectancy)( @" u. @' F) h' D) u
[ set-initial-turtle-vars-age ]
* @2 Y4 U5 @; }% l* b if (wealth < 0)* d8 h+ k; l& ~8 s0 S
[ set-initial-turtle-vars-wealth ]
) P3 X$ I" E" A8 P/ E8 [
+ F7 D8 j+ ^% U4 P+ V' T# cend
9 @ a& L- Y5 Z0 ~4 {* I* v/ {5 F1 b5 j. v
3 R0 x/ r) e# @) _* d9 ], S
to setup-plots2 \& Q' W% r* @) F
set-current-plot "Class Plot"& c9 V8 _5 u6 \) V. B: E; {
set-plot-y-range 0 num-people# x$ }! }' k# c/ o4 H) C# i8 [0 U
set-current-plot "Class Histogram"
$ C2 P E6 S4 p9 j. G& j; r9 B set-plot-y-range 0 num-people
: v" ^ ?0 x zend- ~! y- a2 \: `4 C# V
* i5 j- ]2 ^* C9 A) Y7 gto update-plots
5 `7 M. O! E ?, L' O6 R( T( R update-class-plot. c( @$ ~+ b& p- o8 s& B
update-class-histogram
. v- l2 o8 n$ J- m+ U% c+ N7 E7 n* c" H update-lorenz-and-gini-plots
! R* @2 H$ i, V1 G( v1 a0 }end* l0 n) M* M/ U: l7 D& H4 y
$ b. `$ x, |$ \: h
to update-class-plot$ i' f; i" p& N8 j& w0 f% o
set-current-plot "Class Plot"8 k1 v& Q- i) i8 _
set-current-plot-pen "low"1 y4 ]7 `$ r& U1 J
plot count turtles with [color = red]
9 v. Z$ o) Z i; w# M set-current-plot-pen "mid") u# G6 Y8 C! X3 G6 ]
plot count turtles with [color = yellow]
% O7 ]* [4 v7 A- W* G set-current-plot-pen "up"
( [9 C9 W$ N: E plot count turtles with [color = green]! v, V* D( j9 V3 Y. V; }9 H1 r5 q
end* T- g0 g7 p7 O4 Z& o2 L2 P0 k3 y
( }( j+ m4 _7 l& I3 z1 Zto update-class-histogram
. Z" @0 r6 P3 J3 E0 H0 ] set-current-plot "Class Histogram"
9 T, U- r4 K* k9 w2 ^ plot-pen-reset" j6 v0 i8 G/ F
set-plot-pen-color red0 u) J" \) x! k! [+ \
plot count turtles with [color = red]
! z- ~2 v N: _. i1 X" j3 C set-plot-pen-color yellow' A4 g$ T. K4 Z8 R! a* p" ^* g
plot count turtles with [color = yellow]0 X) b/ Y! W2 Y$ m) g8 S
set-plot-pen-color green* x8 u- \& R1 O, h8 j
plot count turtles with [color = green]% q6 W4 ?2 K1 q2 t
end, o) V0 v" m% `& P& r- a, W) n3 ~% j
to update-lorenz-and-gini-plots
0 T: M; m4 T9 q. x5 g6 P set-current-plot "Lorenz Curve"
6 m( y2 F- Q. w" F" B3 n clear-plot5 _9 A8 c4 j; U% {& H
w) R' l: l+ J" a set-current-plot-pen "equal"
2 S% o+ `) o4 K plot 0
6 U" i8 i" ?% z0 U" v% R9 w- S2 O0 a plot 100
" y0 P# P- G, H3 D% A0 o5 k& E+ f2 U# m7 l$ x/ O& i# b) P# h2 I
set-current-plot-pen "lorenz"$ q, C% |6 `5 i& {- N
set-plot-pen-interval 100 / num-people6 g, r- T, H8 r2 t: H0 y# D
plot 0
& c7 t+ F W5 F0 S1 B1 Z" W d$ b% A& x- t
let sorted-wealths sort [wealth] of turtles" P/ y: ?3 @" \1 t: V
let total-wealth sum sorted-wealths* d6 m+ _" S6 G7 n N
let wealth-sum-so-far 0
6 P$ D; K6 o7 X# w* G/ Z9 q let index 0/ L0 {6 t- |/ l4 t* N% Y' M( f3 R
let gini-index-reserve 0
1 l, A8 _6 a: ^$ E% Y ?( I4 t9 e& m4 s# t7 z8 D
repeat num-people [
8 z5 f$ l3 o# [! F set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)* j6 [+ Q6 y4 f
plot (wealth-sum-so-far / total-wealth) * 100
0 d9 b- b( k; E6 p+ \' k& l set index (index + 1)+ e0 K7 w0 ~6 e# E
set gini-index-reserve9 W+ {) q2 e7 g4 [0 d% u
gini-index-reserve +
4 J' d8 v0 c& d) \+ F. S (index / num-people) -4 \. O8 `3 R" t, A( A! K+ y
(wealth-sum-so-far / total-wealth)% d/ L( H7 S Q: k. _( u: a. G
], T$ C: z2 i7 o, n! |. R( ]
B9 r8 H0 w. p8 `- F% s set-current-plot "Gini-Index v. Time"
- ^# i/ s7 \5 }( U( B/ E plot (gini-index-reserve / num-people) / area-of-equality-triangle o4 Y" p2 c( n( Y/ Y& L
end
4 }! q% ?: V4 U5 w' @ Fto-report area-of-equality-triangle
4 p0 J; J D1 w& U; I4 u1 t- ~! m report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
1 h% _/ r; s. v4 n+ Jend |