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
0 A5 x8 X, ^3 y' Dglobals7 S* X: M( |" c
[3 ^+ O/ E( i/ i# V, B+ j' a2 F- n
max-grain
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]' ?: |. y5 h( e6 C8 }8 |
3 O/ w* a4 X- r' g+ Z2 f# m
patches-own
: t# R) j. h2 \3 j" ^1 _; X2 \[
: p, ~1 ^' I% b' ~ grain-here
0 N0 C2 v, a c max-grain-here . `3 r& X: ?$ j/ }- }" [+ N/ e& b
], C/ ~, G; ^+ i& e3 Z
% x" o$ }% `0 q( }0 L4 o) [' U
turtles-own: ]& o4 A/ B" R8 Q, l. M1 S
[
( M; c) D6 _& ^4 i( V9 q5 B3 Z. b age
+ R; r/ q) Z* a' x0 ?1 F wealth & O% k4 ^! S+ B9 x6 R. Z5 i6 u7 T
life-expectancy N6 T1 }+ u, C [: J% n
metabolism 4 I' k0 P) m2 d5 x2 Y
vision
/ e* o- b3 d" d inherited 8 s. Y7 H9 p) w
]
# o$ X3 \: t% L. |3 G8 }9 o8 _. A, N
9 i* c, Q3 H) x; d* i ]to setup3 b: m* U& [+ E/ r& P, |9 Z
ca
: o) q5 B$ Q, Q set max-grain 50, ?# v+ P7 n" e6 K
setup-patches
, g4 w4 E+ ~9 r% ` setup-turtles( q/ q2 P0 o2 U; W7 n1 n$ ^6 \3 X
setup-plots
" ]# k1 `. n( m3 u) U; h1 i4 J update-plots
1 t1 z0 x% F+ |$ p1 R! w4 s! Gend% h$ J7 ^9 D3 t m0 |! W% g# [, H$ |
to setup-patches( W' v3 _# E2 x _0 S5 V* p$ v
ask patches1 J& b6 `8 g% [2 |! z* }
[ set max-grain-here 0
% e* t" i+ }6 X' O if (random-float 100.0) <= percent-best-land5 x* a- H- C& u
[ set max-grain-here max-grain$ ]3 _/ q3 R7 y; o1 P/ l. j
set grain-here max-grain-here ] ]
3 K& c& H {2 u repeat 5" c- q# D8 g2 C; D
[ ask patches with [max-grain-here != 0]# `( A- ?4 D* U7 y8 _' ]9 Q1 Q
[ set grain-here max-grain-here ] c3 W: z1 q4 E! H9 M* M7 S
diffuse grain-here 0.5 ]
1 l( J' o0 f" u repeat 10
4 B4 p! j _8 }" x6 Q [ diffuse grain-here 0.5]
* ^- c/ X4 U0 r4 n; I ask patches% K! d% E8 S& Q7 B9 W# {/ Z
[ set grain-here floor grain-here
6 ]+ }- g3 P# w- v2 N set max-grain-here grain-here 2 c1 Q: S; W& E0 u4 }2 _( H
recolor-patch ]" K2 O9 r4 c$ ]" `8 L' P8 U
end
; I( q: Z& E2 A+ t1 Q9 ~, L) Mto recolor-patch
# \7 E3 {; W. M1 J7 x: k! G3 c set pcolor scale-color sky grain-here 0 max-grain3 U$ o! T+ o% e8 M
end! g1 C0 v' X" @. f1 k V
to setup-turtles
/ h) Z- k9 y5 F! \( p set-default-shape turtles "person"% `5 A; a- U8 @" p
crt num-people
) i" x+ _2 N c3 N. T# F [ move-to one-of patches
d: X( K" Y& E- b3 j1 t; o& z set size 1.5 . T0 x9 i1 t4 [: d* ^# L( f/ ?
set-initial-turtle-vars-age
! K* J0 C, G: S set-initial-turtle-vars-wealth
. w$ i- ~/ V4 H5 H$ D- G) E% s set age random life-expectancy ]
7 n$ a( B) @+ t' B! J: u" c recolor-turtles- X% P% h( s0 e' p, @, P" G
end
7 C0 |: w8 v) E) S% R9 r6 u9 B1 h4 d; o4 z
to set-initial-turtle-vars-age; l' K" q# F% f, | F( u
let max-wealth max [wealth] of turtles, ]$ c' v5 w0 _% c' N1 h* W
w: }0 j. F4 f ifelse (wealth <= max-wealth / 3)
% e& W) [3 \; h. L [ set color red
9 D: |1 @8 ~- Q! R. N: Y set age 0$ m, n( u7 Y! O! y% s! }; a
face one-of neighbors4 & r# P$ T r( u
set life-expectancy life-expectancy-min +
. K7 C- ]% f T random life-expectancy-max # A9 {! X' ^$ n% R6 I
set metabolism random 1 + metabolism-low1 d9 Q- k1 w0 f
set wealth metabolism + random 303 A9 p7 s' z. n2 m" U4 j( ~1 o; P# U
set vision 1 + random max-vision+ x5 A. `# Z X, w# O. B# ^9 e& y
set wealth wealth + Wealth-inherited-low ]
) a! z0 S* }" d& h# b [ ifelse (wealth <= (max-wealth * 2 / 3))
, R2 L1 K0 |8 ~ [ set color yellow
6 z- [/ a c ~4 T6 o) `& u set age 0
# p8 g8 B' |- M9 H face one-of neighbors4 8 y1 W; r0 b ?2 P4 Y, ~
set life-expectancy life-expectancy-min +* j' } R9 H0 ^) j7 \
random life-expectancy-max + 1
" ^8 |# X6 C0 q- v set metabolism 1 + random metabolism-mid6 b8 [& P# M9 u) n9 m* p
set wealth metabolism + random 300 _5 c' r3 I" R
set vision 3 + random max-vision% H/ I& g7 Y4 S8 Q+ c: B
set wealth wealth + Wealth-inherited-mid], K9 ~- W. m/ R+ g
[ set color green 1 L& Y; Z0 _9 P; m! a, f
set age 0
9 f$ i5 h% h1 ]) m) T2 [9 @ face one-of neighbors4
1 d( U! |( Y4 [9 s+ b set life-expectancy life-expectancy-min +& X# |( X9 Q% Z3 T- R
random life-expectancy-max + 2
" K3 K' w8 D4 s* Y2 d% a set metabolism 2 + random metabolism-up2 @5 _6 ]* ^, h: N" C
set wealth metabolism + random 30- H6 H6 h0 _7 H7 n i
set vision 3 + random max-vision
6 b) }3 U5 ~, f' S8 a set wealth wealth + Wealth-inherited-up ] ]
! ~% D- n: @2 P + D' l$ i; {/ \/ A3 Y
end' |& z- f5 e& W4 b1 O% O7 C& a% a
to set-initial-turtle-vars-wealth7 y2 i+ f6 h5 v& n4 l. u: Q
let max-wealth max [wealth] of turtles
6 q6 u' W1 e/ h0 J K set age 0
7 b" Q* o' L2 _# v$ r% `' q9 | face one-of neighbors4
8 G% T2 }. p) _ set life-expectancy life-expectancy-min +
$ u o: b( n; A% k2 J8 R random life-expectancy-max G8 n/ o4 k# O- h3 x* ^
set metabolism 1 + random metabolism-up8 H; P( O3 b% V3 x2 z
set wealth metabolism + random 30
) i# R; S1 A2 {# `4 S" Z0 Y5 b set vision 1 + random max-vision
, x% B' Y; }5 |5 ]end
5 C9 ?$ l- \5 yto redistribution9 c4 I* x0 A$ K
let max-wealth max [wealth] of turtles# G3 ?2 ^4 o) G6 K; N- S- X
let min-wealth min [wealth] of turtles& i5 @, G) h' ?2 Q2 h
if (wealth <= max-wealth / 3): `5 N. O' \1 W: L' e, Z
[set wealth wealth + Low-income-protection ]
# H! p+ D- o1 n# O( dend# [ ~& M1 z n8 J
3 V, n" Y1 h8 h+ g5 C4 Yto recolor-turtles
8 b3 J0 {% D3 Y$ L2 T' [/ q let max-wealth max [wealth] of turtles2 G/ P; Y# _" a, J. S
ask turtles
7 C2 f$ h- o2 g7 `% K3 G c [ ifelse (wealth <= max-wealth / 3)
( F$ k5 K6 X% D0 x. z% N- A [ set color red ]- ]: a# J2 E6 c( b( A
[ ifelse (wealth <= (max-wealth * 2 / 3))" Y0 ^0 r9 ~& D8 g# D1 u
[ set color yellow ]1 M) v9 I! Y# \- f5 Z" X
[ set color green ] ] ]
9 ^- e! [+ \" o) h ask turtles [ifelse show-wealth?" }, n# }1 E6 F n0 t
[ set label wealth ]
) R6 Y U0 A" U [ set label "" ]]
4 c6 D/ Q9 V/ Y! Pend8 j5 F& o" u) R
$ s+ J8 A: f2 n8 L* D/ s1 i
to go; t: r6 Q6 M* _
ask turtles6 Q! O2 G7 E& d' m9 C! U- p K
[ turn-towards-grain ] / _0 p. j- V# |7 T- P' {9 V
harvest
+ q2 Y. J: ]/ [# J7 f$ l" p ask turtles# I/ B" N: u" m- s j
[ move-eat-age-die ]
' v( T- G& r7 u- w, j5 R recolor-turtles" }9 Q' y( Y! b4 u8 \
if ticks mod grain-growth-interval = 0* f2 U* r4 j9 ?) q- c: V4 [# H
[ ask patches [ grow-grain ] ]) d8 [* v1 j/ V1 e
r3 | l U9 C9 N4 t" _
if ticks mod 11 = 00 y t4 I5 W8 t0 _, K& E s8 ~
[ask turtles: R6 \8 v s" r1 c6 ~; o
[ redistribution ]]
. e7 c: a$ Q7 k$ V; j; h H if ticks mod 5 = 0
* L* D1 w+ F5 K' Y; l8 h: ?' S [ask turtles
' v5 v y. |( `6 j. P$ n& t9 ~ [ visions ]]
) a$ k$ A d1 }% D; ?! u- b2 e tick0 W" Z9 ~# ^0 a7 S
update-plots E# `8 \/ U e- F
end
4 g4 w1 b: D" }& m. B" vto visions! w. @: P, `$ f# j6 ^5 V' z; S' Q
set vision vision + 1 + I* }6 }, f$ p G; N9 m
end
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4 {/ t8 R5 b' H/ b. Q
# n! C8 c# r. Q1 b6 f8 Z8 g' H& D; u. W. \& l
to turn-towards-grain * \* J9 \6 F. p r, k& }# O! |; Z
set heading 0
- z0 n9 X- |; S" K! }, K let best-direction 0; U5 F4 `7 x u5 |0 e
let best-amount grain-ahead
" ` Q7 x; [3 U; w4 s( J5 @ set heading 90
# F! y' V& f% r( k/ H6 i, V if (grain-ahead > best-amount)
" [( W; Q2 x0 t [ set best-direction 901 D; ^+ ]- h9 a. L& M
set best-amount grain-ahead ]
" M: D: a/ s0 o* J5 z- |1 q set heading 180
0 B! F& s- Z2 j/ `" F1 I0 H& o if (grain-ahead > best-amount)
. o' O) g; A" ~6 Q' l [ set best-direction 180
0 F+ c4 r! }+ j set best-amount grain-ahead ]8 Z I' B( I; T' W% _! m \
set heading 270. W% R! [2 z+ `
if (grain-ahead > best-amount)
' `) A8 k2 h4 t5 }) d. w [ set best-direction 270
- L, ~/ p5 ?( q3 V( l set best-amount grain-ahead ]5 u! I; C3 Z1 J, F- |5 U! ~) [
set heading best-direction v4 J+ l& f, c, n+ X/ G
end
. t5 _! p0 T1 ?, k$ y- E- e. a9 I7 A- R& ]2 f
5 i; g4 i- \! D( l' `
to-report grain-ahead 6 z: D( O- q/ W# _: x" d
let total 0
: x/ X0 m7 w3 W0 x6 U0 K let how-far 1; O8 T& F& r) Y# o- L% [: k3 c6 u
repeat vision
% m. P" m% D% [& T# h4 ^; O$ ?/ A [ set total total + [grain-here] of patch-ahead how-far( T3 K s: e) k7 T
set how-far how-far + 1 ], n7 b9 I! i/ J" z5 r
report total% D6 h0 n! u$ C% n7 O
end
# ~+ a$ j- O( m! k! _1 r5 m2 N( M/ W. M* C
to grow-grain
0 T2 Q4 {5 s' t* x0 o3 X0 o# S if (grain-here < max-grain-here)
# C8 C0 L4 b) a# ?% S [ set grain-here grain-here + num-grain-grown" Z, s# J& z. G5 J
if (grain-here > max-grain-here)
. D: z& @0 K( w$ e) S0 j7 R5 S [ set grain-here max-grain-here ]
( U3 w; }* X& \ l5 V, h, @" Q recolor-patch ]4 p5 i& F8 j( p: ~
end
5 M$ U: G9 u* e1 Q/ y5 e1 Oto harvest
' y* A" W g) t ask turtles
) p2 r6 d! L5 Z* F3 v* w [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
' r1 F/ R. [5 A9 q- t( C ask turtles
/ e$ `# r! T7 c9 U5 E [ set grain-here 0
( h) O9 h Y$ S$ P+ p J recolor-patch ]
) n. @8 b! |8 o+ ^: u% P/ O- O . o8 o8 B1 a2 j! u6 {/ `" k4 h( a
end' E/ e8 |% {" `, R. ~/ B
2 ?4 }+ z2 _- f: F. [: n* x% {1 Kto move-eat-age-die
) ?& c) N- q1 j( a+ v fd 1
9 ?$ i) o5 B$ ]) j# P set wealth (wealth - metabolism)
# i# g1 ~& x6 S7 R set age (age + 1)
6 n0 s" W) ]' `7 P. W$ z if (age >= life-expectancy)
$ E) q! t$ G, C* t& s [ set-initial-turtle-vars-age ]6 ]9 P' W. C1 ?+ W: V& N) X. G
if (wealth < 0). J. I4 u2 P* D" ], n7 Q0 ^) h0 A1 t
[ set-initial-turtle-vars-wealth ], S% b# R! n" s& ^
* o0 x: | p( c
end0 H# D) J d4 k
o# K3 i( G6 t6 b% ~9 E: ?9 G# \% R% `' \1 r$ d: f$ S" x
to setup-plots! t% x# l& m0 j# ~+ N) b
set-current-plot "Class Plot"
9 J3 A4 u- H( i; i+ u5 g' f \ set-plot-y-range 0 num-people6 s; M- O0 h7 W- r# ^* b8 b$ Q
set-current-plot "Class Histogram", ^. m3 k: L* m. K" [. B
set-plot-y-range 0 num-people
0 ^& o) t8 b- fend3 S3 a6 C$ p2 ]" R
+ b* c5 K! x+ H4 X$ ]/ \, Y2 j
to update-plots
+ B9 P4 J) E1 s; U C' D- r8 O update-class-plot8 n1 I$ C6 d V
update-class-histogram) L' K) H$ k, J5 s! Z- C
update-lorenz-and-gini-plots
( M4 D) H4 g4 i) j- _end
z. ?/ S3 @/ t& c
8 M% I2 J/ `$ q! r O: l, hto update-class-plot
/ I5 [& _( d% T" z set-current-plot "Class Plot"
* M6 q4 ~; S7 b set-current-plot-pen "low" o( z8 w# D+ W% @! p
plot count turtles with [color = red]
, a+ o- H. S" E+ ?. e9 Y6 w$ l% Y! z set-current-plot-pen "mid"' V5 {2 g: \# E/ ]
plot count turtles with [color = yellow]3 I3 E: Z3 B+ C( J! L2 U+ m
set-current-plot-pen "up"
V2 e3 \+ |: {% e H8 y plot count turtles with [color = green]
4 Q( r4 ^6 z) vend6 B& |& N; a5 O# O5 _5 z k
R0 V3 v/ _6 e8 i
to update-class-histogram" M. l, L( A% D7 W
set-current-plot "Class Histogram"! D3 I" s2 @5 I& r) _- _3 x
plot-pen-reset3 X# K, R2 T) b
set-plot-pen-color red+ x/ S* ^/ s0 O4 t$ @. Q8 ~& M: `+ x
plot count turtles with [color = red]
, ~/ v2 g0 N, a; A set-plot-pen-color yellow
2 l' `1 F% p9 I+ } plot count turtles with [color = yellow]: c( y5 z+ f% \( r( o
set-plot-pen-color green5 K6 }, {* e) R+ R, j! d& V
plot count turtles with [color = green]
# s7 M. C% M6 k" b) l, \end% Z1 [; N2 A7 h- ~- a$ k! J' P1 v$ o, |# A
to update-lorenz-and-gini-plots
. {7 s- _* |% F7 l3 G set-current-plot "Lorenz Curve"
. J- X" O* G4 ?" X9 |5 q clear-plot! H3 t+ C9 w5 x/ C8 t
1 \0 D: d ?* M$ z
set-current-plot-pen "equal"6 B9 F, \( l- p: \. Z: k* R5 W3 A. {
plot 0
! O2 K+ j: M* z, C' p6 A plot 100) T% ~0 L) L3 v+ {
- K5 a) r# @5 V3 K* g: F3 v( p* P set-current-plot-pen "lorenz"
* J6 c* E7 Z, O set-plot-pen-interval 100 / num-people
& P: a# }# o/ _ plot 05 q( K! ?5 Y( M; G! P
+ [6 t, e* V& N. l1 \
let sorted-wealths sort [wealth] of turtles8 H4 a; c$ M3 C6 H& W/ X5 t
let total-wealth sum sorted-wealths
. [' u& } ^& b! S let wealth-sum-so-far 00 X& v0 P% N) H% S
let index 0
9 `* z- H: B h4 E let gini-index-reserve 0
8 V) b: [5 f& W0 e8 s
8 T3 t( Q% ]! A3 T" g# a8 ?+ ? repeat num-people [
7 u) F. l, \8 P F set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)& }7 V& W' R3 i. n$ W8 f* U
plot (wealth-sum-so-far / total-wealth) * 1005 ^0 t) i2 m! M$ Z: W! N
set index (index + 1)) d A3 J2 R. f9 { m
set gini-index-reserve% k- G) i+ Y# K( e9 M8 Z( C; U3 v1 R
gini-index-reserve +' P' w* ~7 h+ [" [( S7 o+ L
(index / num-people) -
5 b$ T! b+ q5 `. B5 j8 C: q* J' Y (wealth-sum-so-far / total-wealth), r9 n; m" ~/ ?- K* a1 D+ \: N
]
* p" [; [* `6 U- A# y7 E2 }
+ c; _$ Q1 N( Z+ ~ set-current-plot "Gini-Index v. Time"" Q1 V- R! H3 i
plot (gini-index-reserve / num-people) / area-of-equality-triangle1 q% ?7 [! d: F5 z/ b4 c0 ]4 V( k
end
) O i' _+ s ]! qto-report area-of-equality-triangle
& W* `9 ^3 ]3 E7 F- C' \# c report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
2 Q- [, J0 Y5 ^end |