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
8 M; T8 n$ G/ s; N' dglobals7 Z6 R# w }- n# U+ d+ b
[
! {* J4 y3 G. z( g, ^' M1 V, ^/ t max-grain
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patches-own) `; |; @6 G9 ^) ~) D* `
[
6 @( v* l" E. D4 R p# _ grain-here
3 s8 `2 ?/ L+ z: ]$ j max-grain-here 8 q! c. k3 {# z1 Y# ^) A
]! y# |6 R8 K; ^: g9 R0 M3 T" H3 P, }
, _8 H% ~2 @7 b, {+ B! s: wturtles-own
$ R9 C& H0 i( s1 U5 ?! p# r1 `. X[
0 D e$ _% v a& E age
f' D% y! i- M- z, I wealth
1 ~, n3 S4 C ]. G5 P life-expectancy ! ^7 ?/ s' R$ A
metabolism * N6 w9 E, E2 H$ U
vision
w; T: r8 q+ d8 b: b+ ^4 g: j inherited & z ?$ ?( {% c) m; J& L) }
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to setup) ?, G- @) j" f4 L* ` r& Y; D9 K
ca
$ w8 J8 Q2 ]5 }; h' ^" \ set max-grain 50: b0 Z) |% B+ x
setup-patches
% [5 n: ^0 h% R/ Z+ Y) `" {9 | setup-turtles
/ {$ g! M9 P* Q/ }! b setup-plots
) r+ k! E3 \. ~% L7 s% ^ update-plots
' H* C; i8 a3 I. o- Qend
/ T1 V; O8 K, `$ `( I; yto setup-patches
2 N T! }. |1 i: J* h) a3 m' P ask patches0 G9 C" F% j K: g' I( W
[ set max-grain-here 0
3 `1 R: R$ d" {5 Q7 i+ Q6 z if (random-float 100.0) <= percent-best-land
4 p; p# `+ P( D) ]; \ [ set max-grain-here max-grain" U, Z- l. l6 l: j, N L
set grain-here max-grain-here ] ]
?) ~# X" c; z3 v1 P) d- S; S repeat 5
a4 w8 T; d; p2 s [ ask patches with [max-grain-here != 0]
2 ^/ j3 S" ]. t7 O [ set grain-here max-grain-here ]6 h5 g+ I6 M0 l/ Z
diffuse grain-here 0.5 ]) K O% `9 ^) j1 u$ R' }- Y8 n
repeat 10
0 |; j9 I5 n" L% G [ diffuse grain-here 0.5]
# t3 B% ?+ U4 X ask patches: N. E9 l7 C5 }+ V; q
[ set grain-here floor grain-here / _" h1 I8 @$ x2 u3 Z' s* K7 V
set max-grain-here grain-here ' {5 A# [1 b* E% u# c
recolor-patch ]
" N a4 h' p1 @( iend
& H$ m! z% s. o4 g( J; p1 W' jto recolor-patch
+ D* z4 O4 `* T2 \ set pcolor scale-color sky grain-here 0 max-grain
# X9 A1 I# n8 Nend3 J6 o* {6 j% @$ u& h
to setup-turtles0 l; D8 ?3 ]! w3 o7 Y
set-default-shape turtles "person"& v4 i# ]6 z$ M% e
crt num-people( X y5 E" W* K* e, M
[ move-to one-of patches
5 ~, W; O; Q" A& W5 b% C% Z set size 1.5 % s/ y7 s& C" w
set-initial-turtle-vars-age% \( N- m1 D2 ?; L* [
set-initial-turtle-vars-wealth
$ K' J, p* c4 B) L set age random life-expectancy ], R, U1 }+ s$ H7 F, c
recolor-turtles& W) [: H* Q6 Z. G# e, h& d
end L, I( }* ?5 F7 I
1 Y; j- Y* I* ^& Yto set-initial-turtle-vars-age
0 F' O0 i" e$ ? let max-wealth max [wealth] of turtles
0 C: q' D6 e; Q! q# u b2 P* R) @( F- B( R# p
ifelse (wealth <= max-wealth / 3)
/ B$ }' w& n' N. U/ |3 y- | [ set color red
3 n7 ^' t/ x, y( {% [ set age 0
1 x7 B$ Y- k; {# k# J4 { face one-of neighbors4 ! ~* ^7 f5 m$ |+ H! a
set life-expectancy life-expectancy-min +
9 f! z; Z6 D( v: n, W1 w- d random life-expectancy-max ) S2 e" v3 I' @2 @! r
set metabolism random 1 + metabolism-low$ C0 B) @2 L7 \
set wealth metabolism + random 30
# c" c2 Y- O. N# [1 V2 ]* A set vision 1 + random max-vision9 s; K! Y; `. O8 U
set wealth wealth + Wealth-inherited-low ]/ d6 R0 o" {, \
[ ifelse (wealth <= (max-wealth * 2 / 3)): ~0 s7 J4 c: L& x4 `% F# ~: }/ M
[ set color yellow
9 |6 [% d7 y1 u5 F: J. u set age 0
7 u+ I9 x% @9 Z& S4 ^5 J' Q face one-of neighbors4
% O0 R& H2 c/ G- m; D set life-expectancy life-expectancy-min +
0 b/ v1 {8 Y5 o+ [ random life-expectancy-max + 1. p( K$ H1 k \5 q& o
set metabolism 1 + random metabolism-mid U; V H2 a* V% h8 \; c" T3 U
set wealth metabolism + random 30' X' c& V9 D! x' p9 ~# `8 ^ k, N
set vision 3 + random max-vision
' J; v1 b; o1 \" {1 F3 n- a set wealth wealth + Wealth-inherited-mid]' }' ]3 {; ^# Q _0 V
[ set color green ( V1 }; ~3 P# n" O- L0 t
set age 08 u; T7 w2 a8 S: s$ `
face one-of neighbors4
. X! ?* V3 N6 S8 u, ?7 m' L& I. ~6 ` set life-expectancy life-expectancy-min +
7 l1 z' r! E5 V/ ^+ P random life-expectancy-max + 2
) K+ C& ~6 {1 O/ w1 s. ~# x set metabolism 2 + random metabolism-up
7 A: v- o6 a& C) P* D set wealth metabolism + random 30; x. a5 f' v' Z: H
set vision 3 + random max-vision" v% ~" g" X6 \$ g
set wealth wealth + Wealth-inherited-up ] ]
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" X4 i' p( A" l( T5 ], X* m! Pend6 [- V7 I$ o9 }& j
to set-initial-turtle-vars-wealth7 M# Y2 J7 E- H) e
let max-wealth max [wealth] of turtles* I$ j$ X0 J: Y% d& B ^; E
set age 0+ j! C- u/ Z+ K( Z" F
face one-of neighbors4
]- h; i7 b8 ] set life-expectancy life-expectancy-min +) d4 G8 M! p- y( r
random life-expectancy-max 5 n5 n0 w$ \; V' z. e# A
set metabolism 1 + random metabolism-up
& y4 J D* }' s! L @7 c set wealth metabolism + random 306 B. a2 X- u2 ^7 x6 y8 k
set vision 1 + random max-vision + ^2 f5 ]! F5 W7 p7 u* }: {9 R
end
( w; T/ a; m" T) wto redistribution
" d0 X1 F$ J7 c+ Vlet max-wealth max [wealth] of turtles3 @, I8 r5 g1 p+ X% G
let min-wealth min [wealth] of turtles: W# i/ |. N2 ?6 {2 F
if (wealth <= max-wealth / 3)
$ e' K- ]5 j3 p0 F( f6 a [set wealth wealth + Low-income-protection ]+ I1 d, S( t! Q' E0 t
end0 l7 d, ]: P. ^* ?# S4 j3 y) l: b
w' c% j) `0 s( Q) V. ~/ Dto recolor-turtles$ F& O/ O) x3 j& r$ K0 s( ]
let max-wealth max [wealth] of turtles) X8 M* V6 y4 T' |7 f* |
ask turtles5 _, y, s1 D- g! X2 ~; U2 c: {
[ ifelse (wealth <= max-wealth / 3)9 U; b1 q- S2 y$ a7 q: T2 k2 x
[ set color red ]
9 r1 }; q) @' G* e" Q' U/ S: g- z, D [ ifelse (wealth <= (max-wealth * 2 / 3))
! y) U, {/ v$ h2 B) ]( z' H' n [ set color yellow ]/ H) C" k" }" g9 I2 _: H
[ set color green ] ] ]' z1 \9 s# S( o! w% p2 W& ]
ask turtles [ifelse show-wealth?+ E2 D5 G$ _9 p
[ set label wealth ]
$ Y& d; e2 S# N7 U+ \: |1 K9 w [ set label "" ]]
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to go; n. O: N, k3 T* T5 i6 r
ask turtles- H3 M4 _: M0 @3 q) K1 a/ _
[ turn-towards-grain ] ! v4 U; i, }; J h# K
harvest5 k$ v2 x( e7 c& F A, [
ask turtles; W" B: _9 v: e* {2 A+ ~ Z
[ move-eat-age-die ]
! X9 k" ?" L4 I6 C recolor-turtles
u' Q) E/ v9 U- _4 |) [& ~ if ticks mod grain-growth-interval = 0- {; A5 I! b4 W& v t; S: W! z3 p
[ ask patches [ grow-grain ] ]
) R3 k6 T/ V: [0 R, V0 g 6 d V% j4 A+ B& z
if ticks mod 11 = 0
' ^6 f" k' Y1 }! C+ \ [ask turtles5 I9 O+ B# n P( k" Y ^4 u2 c8 N7 J
[ redistribution ]]! N$ q0 w! H) |! x z: g
if ticks mod 5 = 0
" x+ i/ W9 @7 h; V3 L' u6 W [ask turtles
0 X( A3 z1 Q8 I. v' t [ visions ]]
' S+ S7 p3 R! N0 |9 {. Y5 \3 b" l0 M% o5 ^ tick+ H4 Z. _# g* i4 r, s7 U
update-plots
- F1 N. B% R" Z( uend
& J, A8 F: ]6 J0 ]* ^to visions
& @- R6 Q1 w7 L! _: I set vision vision + 1
$ u+ M+ V+ u6 r- A# n- d/ oend
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+ n" R0 s" D* Z; A
/ a" A& x N6 j9 \; j3 u, U
to turn-towards-grain
( F8 [1 D- z5 H# X set heading 0
; ~9 i% R+ h: D: t8 | let best-direction 0
) r' Q! j* j- m+ `2 n& U let best-amount grain-ahead
6 ?7 ^. E% |7 } set heading 90
1 `% T o$ k+ m6 ^- x$ A1 } if (grain-ahead > best-amount)) Q8 b3 X/ x$ t: K; G! y
[ set best-direction 906 R& G5 K# H+ t1 P
set best-amount grain-ahead ]& m0 b! z8 Q6 Z$ F: G0 ^) X) m
set heading 180
% X( e# r& h3 f4 K" Y' p- U0 a if (grain-ahead > best-amount)8 A2 B. f9 A9 |+ H: U! y! x
[ set best-direction 1805 _4 R! N5 _9 w* k/ `: j( J
set best-amount grain-ahead ]* L" {4 t, k, \" n. F
set heading 270; _/ w4 z. ^1 n g. E) v
if (grain-ahead > best-amount). w- L# b. c' O) [& z! G) ?
[ set best-direction 2705 r- T% P( f2 }- G8 @) p! D: k
set best-amount grain-ahead ]7 _" i) }+ b/ V3 w$ B- y
set heading best-direction( M: J) V; A) M% \3 ^ t
end/ _% @" j) p: _ M { J# C( w8 R
1 }. k+ G! o. Y# S7 d# w
$ o& S2 A# P0 ]% G4 N3 }
to-report grain-ahead
& ^7 J( a9 f, D; P let total 0$ @1 e4 w. B; _. D4 t
let how-far 1$ O' e0 F) O$ P) b
repeat vision' K e9 K$ d7 Z/ _
[ set total total + [grain-here] of patch-ahead how-far6 t: `( c; h+ l7 v" v
set how-far how-far + 1 ]! }/ e H/ ?3 k
report total
) `8 `/ r; {8 Oend
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to grow-grain
, t9 `. T0 w& I6 G( o# D L if (grain-here < max-grain-here)
4 g' n* D* C8 o1 W: _ [ set grain-here grain-here + num-grain-grown
$ z' X. a( r: R" f. ]7 J if (grain-here > max-grain-here) " R6 w* c3 l, a3 M1 n
[ set grain-here max-grain-here ]6 \2 c# d; t! \% n3 W# q/ v
recolor-patch ]9 ]/ _9 C% r7 E1 V4 x
end
' R* H4 B/ ~3 ^' ]2 Eto harvest
2 |0 b! @6 [/ c/ X+ f ask turtles
v4 S% ~; W2 D4 f [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]: k- `4 \, h. p) @
ask turtles
! J" j6 N1 D5 D$ K0 h [ set grain-here 0% L2 R2 W5 f# F8 T+ m6 l
recolor-patch ], @% D j4 {# W
% I/ m, b& F! ^
end
# {* l/ \; o) z2 b8 X* G
5 r' P3 j# T X4 r0 L0 ?! u9 g. ]- nto move-eat-age-die
6 b' M+ ]2 a3 u3 ` fd 1
/ A" e, N0 _3 E7 V set wealth (wealth - metabolism)
# s5 a7 v8 M7 l0 @/ b/ X6 h! N set age (age + 1)+ u! T4 x5 W( d8 u: D6 K# R8 a
if (age >= life-expectancy) {& h- o5 Y, d
[ set-initial-turtle-vars-age ]
9 G0 i0 Z1 R) j' i% d/ q, j0 j; G if (wealth < 0), @' l% x9 b% C. q$ X- j3 A: _, H
[ set-initial-turtle-vars-wealth ]
7 w* `/ ^0 p7 `' X3 e
& x! E9 @# W: D8 n5 n8 t2 qend
) L3 H" K" s) G& L. l) K9 ^
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to setup-plots
. o' _# ?& W; n/ Y, @ set-current-plot "Class Plot"; y+ ?7 x2 o6 t
set-plot-y-range 0 num-people* j+ I) O& }, ]) F. [0 b
set-current-plot "Class Histogram"* S1 u/ Q4 a! q) S$ {
set-plot-y-range 0 num-people; ~; D& ]# r) m+ F
end; b* Q4 K& {6 ]0 X
, E4 T1 O s R) S* z
to update-plots( q4 ?6 q3 r' ]# v, k% [
update-class-plot! H$ h0 S( @9 w+ O5 Q
update-class-histogram
2 p3 M- e8 w4 h! j$ d, c7 W h update-lorenz-and-gini-plots8 ~! C( J" ?; ~" K% @9 X7 I/ e( X
end
+ P4 X, X) _9 n0 K9 F( k" b# q9 J- E7 q- W5 s/ g
to update-class-plot
( d) U" p* b/ b' J$ v; _; n set-current-plot "Class Plot"5 o8 |* a) |$ ]; q3 }
set-current-plot-pen "low": N$ s' B$ |6 b) Q+ m& q0 v; [& x
plot count turtles with [color = red]
& h% d1 A! B4 ], V. _ set-current-plot-pen "mid"
* D1 Y1 U" n9 m; B! y! x% o5 Q plot count turtles with [color = yellow]
; ?" {3 q; `! _; A9 N! r2 ~ set-current-plot-pen "up"
$ k: I/ B# [2 L" Z9 z5 c plot count turtles with [color = green]
, O2 V; L3 V# ]1 q5 {# L1 ?6 y0 Uend5 O& l6 O a- D4 X3 a, E
$ Z% U" j9 _4 `
to update-class-histogram {1 o) ^1 Q- y) E2 o* o4 m
set-current-plot "Class Histogram") ^/ C' O$ X4 U
plot-pen-reset- T" [2 g; s9 y/ ~( B1 T
set-plot-pen-color red
8 t& K2 Y% R# n- {+ `2 J' [ plot count turtles with [color = red]: _& K3 w1 K, B
set-plot-pen-color yellow
' a% Y; l6 w5 d* a5 V; ] m plot count turtles with [color = yellow]
3 [0 ?1 F6 S* ^. | set-plot-pen-color green
0 B' e% Q/ j' o; o3 C l plot count turtles with [color = green]
, ^! r+ K, ?5 {. @ p, o9 E2 iend
- O1 q1 [* L+ gto update-lorenz-and-gini-plots% U9 B, J4 M% P( ^
set-current-plot "Lorenz Curve"
' n0 R1 t2 S7 Q- z: W clear-plot
* h8 g* R4 |4 P( M' X6 V" K: T
set-current-plot-pen "equal"
& e: w+ C3 r/ ]/ B plot 0
% X4 b% O% o) [- j( E, W plot 100
$ r8 p7 K! \2 @' t$ Z0 F; c
: n/ J& c, q$ v. C; ]" Y* _/ H# x set-current-plot-pen "lorenz"
8 j3 r# c+ D, F1 l- g0 E set-plot-pen-interval 100 / num-people
" q G. H) O2 R# z& G( g plot 0
6 S, x. Z4 X; \8 Y8 t% r# {) G0 f! P6 m- w
let sorted-wealths sort [wealth] of turtles6 N# z2 t: P' J# A1 i V: r
let total-wealth sum sorted-wealths/ E1 Y2 h1 N" {0 R# Y4 B
let wealth-sum-so-far 03 c8 g0 ~+ [2 e- c$ w
let index 0
+ F- n) q6 z+ _; q let gini-index-reserve 0* \( ]4 C$ J" `6 G
# m5 e1 n8 Y; \& G repeat num-people [2 b. v& w: h3 a6 g
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
C. j$ Y+ M9 g4 p4 a5 r plot (wealth-sum-so-far / total-wealth) * 100
) {, y' R6 l* B r7 S! t# J set index (index + 1)8 y! r& P" k$ x/ E
set gini-index-reserve9 q$ I+ w1 g& F! L2 z
gini-index-reserve +( L6 Q7 r/ D; Q: ?
(index / num-people) -
+ o4 H) u. r0 p (wealth-sum-so-far / total-wealth)* S8 p7 b7 H3 k/ K1 r( \
]
- E$ }7 g$ r- x1 T8 _- V
6 n @1 k9 Q4 c, w set-current-plot "Gini-Index v. Time"
* b9 p( @5 z: t, |2 {( T# r plot (gini-index-reserve / num-people) / area-of-equality-triangle
3 |( z4 a1 z- A: Yend
- g7 x1 o$ f+ Hto-report area-of-equality-triangle
?$ d, _& j! Y report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
9 w) z1 G, A0 Y3 I, p& ]% ~" Aend |