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
' e; T$ U' N& r2 }+ y& \9 N4 Oglobals. u s7 F8 U/ r: |
[
/ h1 g, y4 r' }* F- [ max-grain
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patches-own8 ?7 n$ R: p# H
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grain-here
" d6 }! m( J, d% w3 t max-grain-here
+ V9 _) r) g( L: x% Z]8 B' T3 _( V5 i! K+ o
8 H4 G h) m3 c+ K& ^turtles-own
! x5 @- c( ~% T8 v1 D8 ~( ]/ f2 W[2 D* H& V* Q; _6 t! j
age 3 ^; l Z) s# n0 d% R8 t
wealth
4 o; D- O, s2 h: d. T* _8 m( u life-expectancy 9 e- q9 N5 X9 ?) w
metabolism
X) j5 [3 K5 X2 g- Y; [ vision
- {8 T$ l, n/ z5 y; x$ P inherited + J: t% B) o# x5 M- X( N
]
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to setup6 U7 Z- y6 P% R4 Q
ca
$ C" {# I5 }/ Q( @- j, m6 l4 j set max-grain 50 U# y1 E0 @& q- l
setup-patches" t5 E9 X! n' Q8 Y: l' p4 J7 o
setup-turtles; O& ?$ O6 p! S/ `/ p3 s' Y$ U1 M
setup-plots
/ T" C3 z. l/ ` update-plots
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to setup-patches) q4 t2 h) u: x# `. I
ask patches. n, @) r/ N3 h1 C P. ]; T% B1 {
[ set max-grain-here 0
`$ X1 E, F- @7 c5 L if (random-float 100.0) <= percent-best-land' S% [# _3 y- H
[ set max-grain-here max-grain2 `. E* ]/ |; D+ E6 t
set grain-here max-grain-here ] ]& x3 k M1 R+ q8 O! D" D4 @
repeat 5; a0 w# ~6 r4 Z" O y$ m0 W
[ ask patches with [max-grain-here != 0] U1 i" Q; G# s$ \. ^2 a8 c
[ set grain-here max-grain-here ]
, Z5 _* z0 e( y# c diffuse grain-here 0.5 ]
; ^" {. e/ K% q repeat 10
$ e/ c2 H4 x/ [" d [ diffuse grain-here 0.5]
3 I/ I! E4 M( P) I) J/ W: ?# ~ ask patches
1 K! R0 T) O s" l* h5 F1 a$ ?8 a1 w1 i [ set grain-here floor grain-here
$ ?# [, P7 G- r set max-grain-here grain-here ! S* o+ N" _0 B5 f7 |
recolor-patch ]5 P! g+ k0 e+ i# q9 Y" o
end) k! d# t! `# V1 B7 T
to recolor-patch
) W$ |; Z" X: i3 v8 a) t5 x9 u set pcolor scale-color sky grain-here 0 max-grain
9 r9 n$ \" f, M' O1 Gend: F' h8 ^* r( x) o4 `
to setup-turtles
0 _- B* o; `& g/ s5 U/ d set-default-shape turtles "person"
1 K1 i8 M1 D- s( Z* F crt num-people
( u2 A/ I. p5 v& A. J7 T [ move-to one-of patches
/ ?, L: ]$ e5 e0 J E2 ]3 M$ s set size 1.5
; J% G. E+ _2 _' G, O7 w3 ]# c set-initial-turtle-vars-age
h4 F/ z, u1 ` y set-initial-turtle-vars-wealth+ e/ u% v% Q- v8 v: X
set age random life-expectancy ]
0 j. I! X1 K# p" x" V& b recolor-turtles/ F" r3 _: ?: y: G; D0 `4 q& V; C, M
end* G5 Z1 \1 Z$ F5 h
. X) }% J a7 f5 q: p: X2 m4 [to set-initial-turtle-vars-age
2 m( c8 [" A: Y I$ }1 |4 [5 b1 H let max-wealth max [wealth] of turtles) G: n- J0 }/ f1 `" |
# X- M/ X; k( W: {6 u7 @ ifelse (wealth <= max-wealth / 3)
5 L% d8 e5 }- k* O& P. ^% i) m [ set color red
* w: ^1 Q# z, z# l8 Z# V set age 0
B8 W1 L# G; ^$ M- X7 L face one-of neighbors4 " t7 k/ G3 U* J2 B& \
set life-expectancy life-expectancy-min +$ w* s; ]9 D' `# T. i' K0 U) k) C
random life-expectancy-max
5 ^! L# v$ J: K( h set metabolism random 1 + metabolism-low
3 p- c! u ?; ^) X' P set wealth metabolism + random 30
5 Q5 b- y+ j" u5 \2 ` set vision 1 + random max-vision
' {: I1 X/ A& L2 X9 Z$ O% {) d set wealth wealth + Wealth-inherited-low ]+ j- k8 a( }( }9 G4 V. l
[ ifelse (wealth <= (max-wealth * 2 / 3))* p8 s a Q3 e$ Q- q& ^
[ set color yellow 9 V: H6 b' [* {- u- ~
set age 0
5 e* n1 x {/ H* { B) _& n9 g" ^5 x face one-of neighbors4 : z5 z. ^% _! Q2 L" D
set life-expectancy life-expectancy-min +
1 p4 E I- p0 h$ d/ d6 _ random life-expectancy-max + 1
& t. @& ]/ F6 r2 U* k) u( L/ x set metabolism 1 + random metabolism-mid& U, W7 \8 p1 q2 v7 }. {
set wealth metabolism + random 30
- \! y+ Y3 I, w1 [; d' B set vision 3 + random max-vision7 V; h7 a8 F3 h; K6 e* s
set wealth wealth + Wealth-inherited-mid]
& T$ t7 _2 t9 Q# G5 x; j [ set color green
! q! b) U% J9 k9 U9 Q/ s$ C set age 0
! J# P. O$ L1 s face one-of neighbors4
1 K$ b, f8 k. s: d# ]6 @ set life-expectancy life-expectancy-min +5 e1 q( ?3 `5 X! u
random life-expectancy-max + 2
& I3 Z' t- g8 o2 Y& p) w$ m set metabolism 2 + random metabolism-up4 Q( O9 d" u2 k/ u, r! n; ?
set wealth metabolism + random 30
2 ^( A7 X4 k- s/ W set vision 3 + random max-vision
. m5 _- N$ }0 [% X# b X set wealth wealth + Wealth-inherited-up ] ]
4 i1 z" a1 i: H j* l/ Q2 k 3 Y8 I5 A8 e; n4 i$ D6 d
end/ Q6 B0 y0 b3 o$ e
to set-initial-turtle-vars-wealth v4 X' z0 e6 f& j: P4 d+ @
let max-wealth max [wealth] of turtles
5 M5 K1 k8 ~% v set age 0
2 a; _" g! r( M; {' A7 g& O face one-of neighbors4 ( d( Y6 z# ~2 P8 g: O
set life-expectancy life-expectancy-min +5 h$ H: E" l @+ P2 y3 l! z
random life-expectancy-max
0 S/ J+ }9 O, r8 r# k set metabolism 1 + random metabolism-up
5 R d% p- y7 v1 | set wealth metabolism + random 30; q4 \6 ^% @, y; N1 J
set vision 1 + random max-vision
6 B. b& `2 t& }) V" U2 ?end
: `3 B9 _9 a5 Y) |8 \, y* T: M+ A: wto redistribution
5 [0 a, i4 _; X _/ W9 Z/ Klet max-wealth max [wealth] of turtles
- ]% A9 ?% r/ K$ Klet min-wealth min [wealth] of turtles
, @6 Q6 u) E; N$ @( f. ]if (wealth <= max-wealth / 3)& ~& v; ?9 A$ n: _+ r- v
[set wealth wealth + Low-income-protection ]4 c) E1 C. e9 F, z+ C
end: L. n- W0 S, n+ Y3 H' ~
U2 p4 v$ ?5 g7 J8 l: @to recolor-turtles9 {) U/ @+ ~5 ?7 j: j7 k! Z% f1 _
let max-wealth max [wealth] of turtles' w3 I. n$ g; ~- W* c6 t
ask turtles
3 Y8 g- u4 o6 P [ ifelse (wealth <= max-wealth / 3)# u }% b2 l, ~0 U
[ set color red ]* `' S c+ H7 O; n0 ~
[ ifelse (wealth <= (max-wealth * 2 / 3))
9 r& H- C5 ^0 W& p! t! B# G [ set color yellow ]
) S5 Z; R9 a( k [ set color green ] ] ]1 z- {. T9 f+ l N
ask turtles [ifelse show-wealth?
" G: J9 z6 }! W5 W& m2 u# ^ [ set label wealth ]' Z/ A; y) C8 Q7 ]
[ set label "" ]]
4 ]2 U# u) v; H3 T. F$ m7 Tend h' n9 u6 Y @7 X! v7 l9 L* E
9 E) A2 \8 ?- xto go8 N4 N" @/ D: j5 K
ask turtles" P( { n" r5 F4 Y. R
[ turn-towards-grain ] - X8 P. b+ W" \ m9 c3 ?
harvest: W! w1 S9 j, [3 M. m+ ^0 v
ask turtles
g. `: `3 a! ?1 V3 G/ ?+ R9 Z [ move-eat-age-die ]' c5 f6 l! v: J! z+ Q: x* p
recolor-turtles8 U/ y/ B9 x9 W& t. x4 l
if ticks mod grain-growth-interval = 0: G6 _4 ?6 M5 ^8 e/ a/ z* Q; A0 _
[ ask patches [ grow-grain ] ]
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if ticks mod 11 = 01 c1 s7 _5 j) g+ [: h z; D
[ask turtles$ z2 h7 x; s+ u; a1 Y
[ redistribution ]]
# b5 I6 j% w6 y5 s& v0 o- }& }9 |6 \0 S if ticks mod 5 = 0$ R5 l/ U0 v2 p- C6 K) M3 z1 l
[ask turtles
; ^; V2 j2 U* Y- X- z [ visions ]]
* }6 ]* Z6 i+ ]0 ~2 h/ e0 i7 y tick
! C8 n4 L& O( r8 c% D" W) X update-plots
% P+ ]1 L3 a; s9 ]4 n- Pend7 G0 `4 A# [) J2 r7 @ w( N
to visions
0 c. p9 K) Z/ `4 n3 Y) |6 S$ I& J set vision vision + 1 1 A+ w6 Q, v' `
end; p4 c& U9 Q+ J; O& E
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to turn-towards-grain + l# k8 h \6 k- @) O8 T& X5 V
set heading 0
5 ? |/ k+ w; T6 T6 C. }" h let best-direction 0, D0 i4 \" Z% b3 ]
let best-amount grain-ahead3 g* ?( X1 E) r/ U5 }$ T( H
set heading 90% S3 y& M& {- x% r
if (grain-ahead > best-amount)6 d4 {+ E5 R* V0 L9 V
[ set best-direction 90
7 K0 d$ E1 |5 a* p" { set best-amount grain-ahead ]' L. N( `/ U6 i- f! I: X
set heading 180
o7 v9 O# e; n+ b if (grain-ahead > best-amount)
9 a5 V, E! q% D8 y9 P8 b3 t [ set best-direction 1807 _7 A4 N) v: R+ L" t! K4 j
set best-amount grain-ahead ]
. `1 v' x5 I0 M* ]3 } o( q set heading 270
6 z! o, H5 Z3 Q+ ? if (grain-ahead > best-amount)
" V* B& N- {" b* l, C$ x v [ set best-direction 270; {/ r/ b+ s: |. b- x; Y
set best-amount grain-ahead ] \0 g/ [! K" M! U0 R
set heading best-direction
# C; W% Z8 c$ T3 pend
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/ c# T0 |8 c. Y; W, wto-report grain-ahead 4 m1 b0 _2 Z" z! v. [
let total 0
) [1 y- r! a$ c9 y# C let how-far 1
+ |' E2 z A; Z# u+ R repeat vision
* M8 W) E# Y# I2 Z [ set total total + [grain-here] of patch-ahead how-far* F, C& z& a3 a
set how-far how-far + 1 ]" }4 q8 [4 j: N" T4 I9 v; h
report total
4 r" h. n( D- l7 t+ Bend' U6 q2 {0 ^: j k9 A
i4 V1 m/ ?& x8 ]$ D9 w
to grow-grain
7 }- C, f' v9 z: q2 ]& g if (grain-here < max-grain-here)( ] T' A9 b- d& w* R
[ set grain-here grain-here + num-grain-grown
2 b, P8 {6 }# J& h v l if (grain-here > max-grain-here) ( b1 v8 I g. C' V# t: M1 f
[ set grain-here max-grain-here ]
& i1 I& B" j! Q recolor-patch ]0 o) q/ W2 |4 n% [3 B
end I$ k4 Q: m: G( @* \$ G/ r5 p
to harvest
2 W% q A1 z+ `$ M ask turtles
+ u0 [- r- k, u7 h+ ?4 G [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
1 u8 Q' `. ~, z7 G P ask turtles
- ^% }( E: ?9 m: L7 ? [ set grain-here 08 P* z- [8 f3 ^9 g( W1 X3 k0 e
recolor-patch ]
. [5 v" O1 j1 _% g/ }. r0 S' ]
% ?1 ?4 K% D/ r7 Nend
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to move-eat-age-die % @1 v' a: P9 W* s0 M6 h/ Q2 U
fd 15 ~$ D( D }% S2 Y7 `; Q
set wealth (wealth - metabolism), P( w; i# t8 Q% g0 ?
set age (age + 1)
" Q5 W$ Y9 o1 T# q if (age >= life-expectancy)4 t5 L) L5 n+ [5 [( [! _
[ set-initial-turtle-vars-age ]
: |- O* F. S5 t$ ?; `% ^ if (wealth < 0)
3 ?) d# U0 t x4 S [ set-initial-turtle-vars-wealth ]
" X& e p. p/ b
2 s9 K$ Y5 y) v+ A8 Aend/ f0 W7 j7 z- z# Y% R- n
$ l) x" u% _# k" |8 C! T
4 X o! [ y' ]3 v- k0 ~to setup-plots
" j4 K+ L2 m9 f8 e& G2 k5 k set-current-plot "Class Plot"* |: ?! h1 ^) E3 ]. }( t" k
set-plot-y-range 0 num-people
8 @/ Z0 R# i4 f6 v1 e# g4 r set-current-plot "Class Histogram"
( x4 h. A2 C3 M1 R; \) P set-plot-y-range 0 num-people
; B$ r* K0 {) t Oend, D! i7 B W. U5 ^( j3 a
2 ]* c% \- P$ r* t
to update-plots
" h7 q' w' `, A5 q3 @: e3 ^ update-class-plot
- B0 K- k, M2 X* Z0 k update-class-histogram
) O* `# ?9 N; I$ ? | update-lorenz-and-gini-plots
/ H. t6 b/ o; c. ]* j* k& Jend
; v9 T- h! W1 n
6 G# o1 R( ]0 ^/ jto update-class-plot4 L/ s5 D7 B) }( j" S% O
set-current-plot "Class Plot"! D+ T. C, H2 e/ q3 E
set-current-plot-pen "low"
' H. P& r2 Q* Z" ?# a plot count turtles with [color = red]
" P, D' i- m2 v' `/ Z; l9 o set-current-plot-pen "mid"8 z6 C3 A$ o- k5 H) d
plot count turtles with [color = yellow]
2 J" |* B5 R/ v set-current-plot-pen "up"" Q9 O7 N( V& [+ ^* p
plot count turtles with [color = green]
" [ M; Y4 o' D$ E$ o3 U. ^3 vend/ w: V# v. g& l4 i, c
0 O. D6 \' M1 A9 j O# l" p
to update-class-histogram
8 F) e' e6 Y+ k% F2 b set-current-plot "Class Histogram"
( @! ]: h" Z. }) } plot-pen-reset) ]( z) O1 }# g. v
set-plot-pen-color red" ^# H% p5 k5 a' S
plot count turtles with [color = red]
4 ?" S6 c; t( O4 Z set-plot-pen-color yellow+ z. r9 ?+ S/ Q" }: e; l
plot count turtles with [color = yellow], E! z$ ]5 ^/ j* u/ e9 j* r& N
set-plot-pen-color green
4 o4 a' F* \* {" U1 e5 ~6 B- |; ? plot count turtles with [color = green]
& |& h. ?6 w7 P$ t# i; P+ }& Tend# a! u1 ~0 |& N1 y) p2 g, N
to update-lorenz-and-gini-plots
. T, s( C- b% _ ` set-current-plot "Lorenz Curve"6 _8 H- J3 a1 ?# z# ~0 ^; N
clear-plot
4 H7 t. J' R2 r" m k% G" e! N
! y k! T$ q, @! i" M+ L set-current-plot-pen "equal". T1 b* t; {: v" p# H4 g
plot 0$ |' z; @: H7 W0 ^
plot 100' b5 U# _% A9 V. X. f& ?* m+ ^
7 q p5 V6 o& c set-current-plot-pen "lorenz"
# g/ m, ]; r" @+ F1 M set-plot-pen-interval 100 / num-people
9 r- ^3 h* ~5 l! \ plot 00 J! e0 w7 n4 }0 ]3 i0 W
& Y. J/ \( P' a8 C3 N! [ let sorted-wealths sort [wealth] of turtles* O1 [+ t3 k0 O8 Z- Z
let total-wealth sum sorted-wealths" ~2 C7 O$ O) L7 J' I. V! U
let wealth-sum-so-far 0
0 t* \: A. m; T, T3 P& Z* E let index 0
9 W; ^7 N0 T2 W8 L let gini-index-reserve 0* ]. C5 B& c7 r* W+ X) u' H
+ g$ o7 g7 y. ?6 |6 D$ a8 Z repeat num-people [; J- ~3 N+ U2 t8 ]9 O& g& O; ^! x. `
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
8 B6 |3 ~; I2 e5 K/ _9 O plot (wealth-sum-so-far / total-wealth) * 100! y, i+ M/ T9 H& v6 ~0 U8 E" G. n
set index (index + 1)
1 J$ g$ i/ z# U* L* e' Y& m I4 Y set gini-index-reserve/ l% Z# T8 w" U8 W: J! v
gini-index-reserve +7 b6 A8 i9 ^# c; y. B7 Q }- Q
(index / num-people) -
" L) z( _! M* l# A. o& \ (wealth-sum-so-far / total-wealth)( ^$ }& F) N. Z R5 S) \
]
* U. v) A7 }* v0 y) w# n9 F/ G& V( P6 K/ N2 K( _, I; K
set-current-plot "Gini-Index v. Time" b. H6 j- q- m& ?! s# x' |
plot (gini-index-reserve / num-people) / area-of-equality-triangle
6 u! Y- X. Z& S# t# x: wend
* ^. y ~, _2 S/ l* T9 E4 Xto-report area-of-equality-triangle
3 q! r$ n( ~5 R" L report (num-people * (num-people - 1) / 2) / (num-people ^ 2)4 G( [4 R' |& W$ F% G
end |