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4 _: M4 w* p0 p3 o$ F" j3 ^$ t
globals# E4 S- b y" U. e
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max-grain # R3 [8 ~( |7 `3 \* e( d& N
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+ M/ X: Z' i2 \4 T; i% S) D
patches-own8 `* Z, i9 G3 V3 ?; a
[3 ]# R; ~* M! A. M7 k
grain-here 6 ~5 R! P% w* ~& G/ J ^
max-grain-here
; K- ~# ~. k7 R* n+ ?8 ]]1 N( ?5 m3 t8 @' B7 \6 x( b
/ g( }& N: R: U5 }+ @0 h1 Q1 @turtles-own
& q! L; l: t4 V[6 C8 z2 x' S m
age
0 v4 `- F' W- c& C wealth
; ?4 x! p7 p9 t; A) g life-expectancy / n% O" u; i3 t9 R
metabolism + ` C3 ?3 y4 D I% ]' x+ w1 a
vision# v. D2 c0 e, k! G0 b
inherited
5 n2 B. A' p! X4 Y1 d]
0 o, N& G5 T* [" a8 b% G
4 u: x! ~- z5 L* Q' f. g1 O" O' G ?+ g; j5 {) H1 l: X6 m! k, Z) T
to setup( _7 G7 @7 T: n9 F. z
ca
7 [8 D1 o4 c4 D- o. a set max-grain 50
+ F7 S# f1 Y: t% w9 S. g setup-patches
3 q2 @+ M* v% O1 s setup-turtles' x' D9 n3 |( Q, y; |. B4 Q+ u
setup-plots
' c. u# W# o# w+ k update-plots
/ I$ _0 G8 I: `! t7 H7 ~+ hend
- a! f1 x) o. Y) }% W* ]to setup-patches6 u0 l* c+ x8 d7 f
ask patches7 E6 @: d I0 w' p$ t" h
[ set max-grain-here 06 w% N4 t3 N* r
if (random-float 100.0) <= percent-best-land3 y1 \( K& I2 _' ^# R8 `9 }0 f
[ set max-grain-here max-grain
0 \' @4 i% J" Y( S& S& n' w set grain-here max-grain-here ] ]
! ~% n: ]+ q" I" a- P* E1 M repeat 5- T* c7 [/ _: x3 w& o1 l
[ ask patches with [max-grain-here != 0]
2 _3 M, Z+ k5 K8 X4 V4 h! J {% r [ set grain-here max-grain-here ]
6 i7 D% T- O1 o7 b7 `- z diffuse grain-here 0.5 ]
! a; i5 G! d, z1 b3 E+ q* @. h repeat 103 |; ]( ]0 V# R) G
[ diffuse grain-here 0.5] 6 I& K! s7 C& _. b' z4 A$ i) j5 I
ask patches
2 D4 ]3 \! H' z) d [ set grain-here floor grain-here 8 U3 [+ P. I, `$ C; \5 a/ k' e
set max-grain-here grain-here
$ S4 c6 c y3 `( u# W1 T7 @2 ? recolor-patch ]" M7 f, J# I& w, V
end
; K, g. f$ I) e) }1 I0 f! kto recolor-patch . Z/ A6 K0 J% w# \) Z' {+ `
set pcolor scale-color sky grain-here 0 max-grain
. N5 e/ y# D+ Gend" w, D9 \6 U* ~) p3 c
to setup-turtles+ d# w. E1 a" h- D& K
set-default-shape turtles "person"
) Z. S+ S# B) n+ O& y: D2 ^ crt num-people
; A2 c$ B' N6 N: T$ M [ move-to one-of patches
, S6 C' V2 M2 K1 ^1 u: w/ T# B2 f set size 1.5
' G# k! W( Y) n1 t$ B set-initial-turtle-vars-age" e7 ?/ @! S2 p9 J
set-initial-turtle-vars-wealth0 {9 j- S, w( y5 F0 ~
set age random life-expectancy ]
0 y6 I, `% }% K) D: F recolor-turtles
* M+ u! k+ F3 m5 Z( D( v" iend
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to set-initial-turtle-vars-age
( r0 Y$ n% [0 d; J" H let max-wealth max [wealth] of turtles
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ifelse (wealth <= max-wealth / 3)2 r) c! E6 }1 X6 h, |1 S
[ set color red
* Z( E/ [# A' u0 O+ b set age 0
$ g: D T5 J$ I% ^2 s$ s8 {" [4 Q+ S face one-of neighbors4 % ~" v- J# d- J l
set life-expectancy life-expectancy-min +
$ H- h8 Y& u1 b+ } random life-expectancy-max
; i& R+ A& C5 |# i0 W' } set metabolism random 1 + metabolism-low
9 V; L [, I# F& ~3 Z set wealth metabolism + random 30
8 U% }2 y# a. M% F+ [* k set vision 1 + random max-vision
: j1 Q. B: }) Y& ]8 E set wealth wealth + Wealth-inherited-low ]
2 b1 J2 h4 f/ R1 ^/ L [ ifelse (wealth <= (max-wealth * 2 / 3)), g m1 g' \; N" H3 k9 E
[ set color yellow
) ~# f2 T* t% w set age 0
9 ?) t* Y% c/ w, E( P face one-of neighbors4 - Y: C+ V0 c! }( b `
set life-expectancy life-expectancy-min +
$ r' v4 N5 n2 Y& z, |( ] random life-expectancy-max + 1
# v2 U( Z B: v: I; y set metabolism 1 + random metabolism-mid" d) f8 B% r# P9 l+ f& p0 ]
set wealth metabolism + random 30
3 P) `# d- B' G) T. l* ^0 a set vision 3 + random max-vision/ Z: Y8 \5 W8 [# R7 T
set wealth wealth + Wealth-inherited-mid]
+ S. G4 D- }3 I# q( r [ set color green . t7 n- S$ P. D. q
set age 0$ z& p) m5 Q, `
face one-of neighbors4 7 q: ?6 y6 T( `
set life-expectancy life-expectancy-min +
! v* X O; {8 b9 u$ P, R random life-expectancy-max + 2
4 Q3 x. e7 C! z set metabolism 2 + random metabolism-up
$ F- q9 _, v6 K set wealth metabolism + random 30, N5 x$ m3 o3 ~6 H/ s/ W9 ]2 x
set vision 3 + random max-vision4 O. V# ?/ G, o
set wealth wealth + Wealth-inherited-up ] ]
! t. N0 c, V4 R* @ 0 \! u9 H# B0 W0 w- [
end. O- x* \& ^4 s+ ]' H5 v8 L
to set-initial-turtle-vars-wealth
6 I& q8 o9 d/ _9 [* }- v1 \" O let max-wealth max [wealth] of turtles
+ i4 [/ |* J6 {- Y2 L6 Y4 d set age 0
( p% N- {! f9 h; w* a9 i& h6 G6 D face one-of neighbors4
2 b0 h! g- Q" }9 x6 U set life-expectancy life-expectancy-min +
) g7 k& t9 H! ~4 e$ w/ q random life-expectancy-max
9 O, d; A, K7 e* g set metabolism 1 + random metabolism-up i- p% _9 L4 m5 C \! m
set wealth metabolism + random 30
9 Q% `- j/ K% Z& x5 `9 [" \ set vision 1 + random max-vision ; k' E1 ^ [( E3 M8 Y
end
* P' d6 }0 T# J7 V2 Nto redistribution0 h' y4 w, T5 b) C4 ~ w& K0 D+ P
let max-wealth max [wealth] of turtles# t( j% e( p0 x! \6 d4 R
let min-wealth min [wealth] of turtles
& A# I9 _5 K" T+ Sif (wealth <= max-wealth / 3)7 r8 m& Q- Y9 A. {0 }, z
[set wealth wealth + Low-income-protection ]
( J# G9 q& ?, h6 xend
2 d% @7 J7 u7 |: C% t/ ?$ o% b
E' Y+ `+ G. { V# o. d6 |to recolor-turtles
- F1 q. @$ R8 c- x let max-wealth max [wealth] of turtles
2 V6 X- t5 `) F8 P ask turtles
; i# Q @3 _, G. P" k& y [ ifelse (wealth <= max-wealth / 3)
5 w$ w" k0 P) Q9 ]" V5 E# n [ set color red ]
; _" T' c: S4 `, w! ?8 B' | [ ifelse (wealth <= (max-wealth * 2 / 3))/ x- T* u9 |% V/ y- l7 Y/ A, ]& {
[ set color yellow ]
+ O- d; ?" ~% v" J [ set color green ] ] ]
# o) {4 Q0 \1 C ask turtles [ifelse show-wealth?9 Q* x; O. H5 N5 @
[ set label wealth ]4 O6 m0 O6 U) Q
[ set label "" ]]
/ p0 m5 E% H, W3 O! {& |( \# O% _end& {- \0 A3 J' w8 P* e. t. r
) D1 ~, j" Z k& f% F. i) Mto go- Q, P3 ?$ T0 p6 \
ask turtles6 c0 g' K9 Y! P8 x
[ turn-towards-grain ]
: c; y' i8 D4 o0 z# S4 q harvest
* v) s1 Q Z& t" n' c ask turtles
% ]( v2 I2 e2 W" {- s. T7 d. X [ move-eat-age-die ]: V/ r/ f! r% G* i2 u i4 h
recolor-turtles+ P7 F9 D# l5 u; x3 m
if ticks mod grain-growth-interval = 0
9 m2 e* H/ ~* y' p [ ask patches [ grow-grain ] ] ?5 X g M' L, C* C; R
" G- f; [& `, F4 Q( J. x& H/ s3 m
if ticks mod 11 = 0/ i) [8 s W& T/ Y6 ]# L2 u( `; p% Q
[ask turtles5 V2 S3 S! b% |3 I$ \5 a
[ redistribution ]]5 b4 U; |: E5 Z* E& v/ ^
if ticks mod 5 = 0
: Z7 b$ |( ]! q4 [' I& g, ?3 V [ask turtles
$ W% y3 U; e& E4 v; M [ visions ]]' ^) l, B A+ [* g9 X; y( w' c
tick. Z, u' W @$ s* B
update-plots6 X7 ]* a+ [" g6 z; l) L5 c
end
' s% @' p) y* v3 T% Zto visions
; ^) ~7 |6 E* N, a Z$ Y set vision vision + 1 8 m1 M6 B; A6 V3 n4 }# J
end: Z, ]' c! {6 C# N
, d- r' _0 O, M* N
% T5 `7 \0 s2 u( e7 D
. p9 u& t. X' j( S+ H! H# rto turn-towards-grain
4 a1 B) V$ F+ V( V7 }/ f- w set heading 0
( x$ w) \7 C8 x* A6 d0 \ let best-direction 0
4 I4 C4 B% M( H, }! D let best-amount grain-ahead
# t. e8 K7 g' W# z1 a# M# L set heading 90
, D# e4 z% g8 m if (grain-ahead > best-amount)9 `( b0 P) A+ S8 V5 M$ M
[ set best-direction 90
5 l2 q: `4 }6 l! N2 J set best-amount grain-ahead ]
1 b+ `& U- l9 L& z& G# i! M" o set heading 180
4 v$ t; J: T s0 a1 r; p2 r' j& d if (grain-ahead > best-amount)8 U/ I; Z; y ~$ L7 Q
[ set best-direction 180
6 T/ I6 H9 o$ g9 G' I set best-amount grain-ahead ]& m+ m; v/ L% i1 [5 \# W
set heading 2701 N$ z+ S. \ j2 t. |
if (grain-ahead > best-amount)" V* \* L, h, v; J' F5 B
[ set best-direction 270 J, T+ K4 u y' X
set best-amount grain-ahead ]
/ O8 {# I0 r F# V9 V7 R0 Y set heading best-direction9 C; Q' u3 S0 C' l6 I8 V/ {# e* t
end' Z8 d- Y% @9 v8 o
- i3 \, ~0 Q, v2 n6 l. J& c' h; C
8 _5 W |% B7 s, s( b# R5 ato-report grain-ahead
" R! ? J8 N& ]+ ?% ]2 X let total 0
4 O- E4 H! J8 g9 p: i* r let how-far 1! i- K0 c1 ?% q& [; P8 f
repeat vision$ V8 t3 s3 T4 B1 r5 _8 d0 E6 [. T
[ set total total + [grain-here] of patch-ahead how-far1 O* A; l9 m# J- {: H. R) P
set how-far how-far + 1 ]) y/ o9 P& N5 e1 H, V* h: h
report total
. M# S2 R: a8 z0 S6 {) k# Oend
; G# n6 Y: H# A+ \ }1 @4 g2 X, W. l( s k4 E' Q, z
to grow-grain
9 t' M2 h% W1 @1 V if (grain-here < max-grain-here)
8 B8 _3 B h& X. w! } [ set grain-here grain-here + num-grain-grown
, E" c8 h" S9 F# p if (grain-here > max-grain-here)
4 U! n- z5 v ]6 |+ O [ set grain-here max-grain-here ]' f) N" ^- }' U9 _) K) Y& y
recolor-patch ]
9 ?! }) `1 c; J# e/ y2 C+ G* Yend# Y: b0 o! q; Z' Z: U, L
to harvest1 {0 O2 r4 p& i
ask turtles
0 y1 K1 z( H _! M% y& t9 x [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]2 I P) M# a3 Q, b9 Y# I
ask turtles* @' B8 _$ d9 ]- f! J8 O& i
[ set grain-here 0# X5 e& H- ~6 F; S2 c
recolor-patch ]
. u: ~: q/ J/ Y& l, c' C
( [+ |) E C& Yend
/ c% H$ L$ [" W8 W5 M& N. t2 B
; V, X4 U! l G1 O( {to move-eat-age-die - L2 Q0 T3 R5 x$ G) x
fd 1
) P6 a9 I, H: i- k" B set wealth (wealth - metabolism)
; C* D V9 U9 p set age (age + 1)7 s& G3 n1 b h1 r
if (age >= life-expectancy)
0 r, H6 D ~9 m! |' h [ set-initial-turtle-vars-age ]
7 q" q; x" K! ^9 N$ ] if (wealth < 0) k, [+ ?* i3 ]& _ C2 l: z
[ set-initial-turtle-vars-wealth ]5 h* } x2 K5 ?+ V+ Q. L A: ]
) V- b- N+ u! h) l; y8 w
end
. [+ w2 V: C0 L l3 T% P' o/ ]* Y) |# l5 n: P5 ~- |. c% K
e+ z) s% f7 \' Oto setup-plots6 B, } e. o9 w) H9 j. U7 T) a* {
set-current-plot "Class Plot"
$ V. ^& K; V2 c# }9 o. Y set-plot-y-range 0 num-people$ T% e6 G3 |# u2 }. Q
set-current-plot "Class Histogram"2 g, n3 H& x& g0 ?
set-plot-y-range 0 num-people0 p1 R8 |+ J6 F9 J# V3 ~6 l5 ^
end: z+ f1 x, q" {/ P
" M- |) Q, ^; K1 M5 x% G% D1 H2 q
to update-plots
: t+ F; l1 b7 q8 h# ?+ f/ S update-class-plot# k/ E/ p. y$ R! K/ U" ^
update-class-histogram
. M- Q3 N: G* h' D* r5 z3 K update-lorenz-and-gini-plots9 s- ?. a/ b. w K z0 V0 M! p% I% G
end: R$ O0 T. [! V! x1 v. ^7 x2 ] Y0 L
8 @$ P" Y2 X9 C) F
to update-class-plot/ H E6 J, V% ]' ]- {. a/ r& ]
set-current-plot "Class Plot"
5 S7 c- g9 i, V# K; ] set-current-plot-pen "low"
. Z# U+ x9 }: W; L0 K plot count turtles with [color = red]5 R; }0 a- C2 V$ d* F0 j9 y
set-current-plot-pen "mid": Q/ ~) ?6 `4 S' r6 C
plot count turtles with [color = yellow]
4 f, Y) A- h. G! L2 h6 Q set-current-plot-pen "up"- y+ t5 u8 ]! {$ |
plot count turtles with [color = green]4 ], @8 M* }0 m* N
end5 d9 t% v/ b3 x5 t" j: E' N! q
" I0 D3 z/ b8 i' x) N1 B5 }. y/ lto update-class-histogram
. `5 }% {; L* Q- z set-current-plot "Class Histogram"
, k6 [. i! d+ A: X plot-pen-reset7 n: `: W; j( K0 m$ t4 ~
set-plot-pen-color red) N8 K3 x* a# y/ l. ~
plot count turtles with [color = red]7 r5 G" n1 ~( B# H6 N- `
set-plot-pen-color yellow2 ~& [+ r1 U% W' e7 ~ C9 v8 \! @
plot count turtles with [color = yellow]2 k* M8 f* j1 q; Z
set-plot-pen-color green
4 ?% z( A$ k f% Q" x- r' m plot count turtles with [color = green]
% l9 v- s* T9 _9 Z! X6 e9 D8 M+ Bend7 E }2 z. L7 G
to update-lorenz-and-gini-plots# V4 h4 R" B8 l6 m7 d" T
set-current-plot "Lorenz Curve"& o% q$ f9 d( m# j
clear-plot
0 @( v; [6 S' ^6 i; i, [7 P! S2 Y+ `- ^' a' n+ b
set-current-plot-pen "equal"1 [6 G+ Z0 j* Z# d) I5 k! \4 f
plot 0/ t# D2 ], V# x, f- n6 A% o* O
plot 100/ _7 v5 D6 W5 x; v; C
7 M& Q) D" j/ t7 s0 b set-current-plot-pen "lorenz"
; j: o" L) s9 ~, j f% W2 C- b' _ set-plot-pen-interval 100 / num-people8 z! m1 R2 d$ K. T
plot 06 Z8 [: U4 C) v. X
. ]: W1 P+ J; O5 x( W let sorted-wealths sort [wealth] of turtles3 B" T7 |7 J( V$ q
let total-wealth sum sorted-wealths: C: z/ }/ Y+ h9 _9 Z; k; P7 z
let wealth-sum-so-far 0
. B! K; c" j. C) N6 }4 ]/ D8 I let index 0
5 P' x3 v* C* W+ d/ } let gini-index-reserve 0
( W, g! S2 Y' K. v& B1 s7 X% w9 ~( D+ w
repeat num-people [
9 \6 r: Z5 t9 m ^( Q/ w0 [) ] set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
1 S; q# j0 h; C7 e5 T$ O( E plot (wealth-sum-so-far / total-wealth) * 100
0 Y- N, L8 s! b set index (index + 1)4 Q# A7 k* B( ~' O4 A, p* P
set gini-index-reserve
+ Z0 l0 j! a2 @% D% T$ w gini-index-reserve +
7 v: G* z) t* D- j' C- z# U- W (index / num-people) -
" c: N h2 ^. r$ s& A8 t (wealth-sum-so-far / total-wealth)
3 G1 ?7 M- r5 E& N ]" J$ _6 V% b. q$ B: S
# J$ H( E. L3 ?8 _9 R- N/ q- ~ set-current-plot "Gini-Index v. Time": C1 V/ V" F$ g: Q
plot (gini-index-reserve / num-people) / area-of-equality-triangle: s& _; h5 M& c+ I
end" J `4 | f, d+ I
to-report area-of-equality-triangle
. E' p4 H7 \' A! f0 a' {% V report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
: E d8 G. t5 G/ Iend |