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 g/ p' f( \; x& Lglobals
& E' m( J- N: h% j+ S+ x" k[
; Z. X; |5 o9 w0 n: f- H max-grain
8 l# [% x+ R. f! `' d
1 ]( U; H* C+ f0 }7 H* l% }' f- S# P]: _! v- h; L4 x; U- F5 j; Z
$ \$ L9 w6 W9 e; ~. f
patches-own0 P* K* r% W$ ?" Q% N& \% y
[4 K: ~# D6 i1 ^$ n
grain-here ! u8 r$ v* F R* W
max-grain-here ) a3 g- [* X2 [" x. v& K
]
: u3 \+ m4 m# h" q% w2 Q3 d/ ^* r% l# C' X' a) Y f) k( I# F
turtles-own
}; t: @8 Q2 I[
9 v" l3 ]8 e, M age ( O- S" \5 m( L* n
wealth 8 \: A: i( x. a9 k
life-expectancy 2 O/ y& c4 a3 u9 q/ ?
metabolism : i- P; C# v, L' f& p- R
vision
! O) Y9 \) w; k0 B, I5 z$ M inherited 3 z3 Z# v" s! s: l9 f- }
]
% Z- H* h1 U- `
* _: T; ]/ v; Z2 b; Q/ g R2 v4 D( ~6 U/ W$ I3 y
to setup6 L$ h% ?% e* `* {
ca. |9 [0 g+ w4 c
set max-grain 50
/ ^6 k" [0 p- X0 f3 N setup-patches
4 n, z( k$ G& E0 O% Z setup-turtles
- u+ Q, }* F/ U" P6 T setup-plots$ i* v' K8 n# O: t, l4 @( B
update-plots; Y* ?: C7 i% d# B" W
end# J g, q. e. \( `8 a* p& H
to setup-patches
6 C1 W( u$ V! |$ m2 T( Q5 i ask patches
: h/ t: k* \3 T/ Z [ set max-grain-here 0
7 D% ?3 e: t( [' G+ D& T8 o if (random-float 100.0) <= percent-best-land: f7 ]0 V0 d, \
[ set max-grain-here max-grain+ O+ W0 f F6 \
set grain-here max-grain-here ] ]
& X; U4 `) s$ X) y5 T" x repeat 5
6 R% D& Q( i% R: ? [ ask patches with [max-grain-here != 0]
! _) V& g! S, [9 L Z& ~7 t8 t [ set grain-here max-grain-here ]
/ I" u3 K3 Z; r9 e1 I2 P+ T2 z: d diffuse grain-here 0.5 ]
( k4 O6 t! f6 f% e5 l repeat 10: U2 F. G: r8 h( ^$ Y
[ diffuse grain-here 0.5] 2 u% w/ a8 v/ D; S) B W4 q6 h" N+ o$ C
ask patches1 H- u" B$ m/ F6 f: z/ C
[ set grain-here floor grain-here ! ~' f/ q1 V. ` [: e
set max-grain-here grain-here
& A5 f% x9 c2 A: i! n. B9 K recolor-patch ]0 T# z* D$ f' L9 Y/ [: ^$ A
end
" H" `& F) }+ T% s1 ~( }to recolor-patch 1 ]1 |& {' u% }! j) }8 s
set pcolor scale-color sky grain-here 0 max-grain2 |+ D3 V8 z* `$ [
end1 d/ ? Z2 p" X3 k( F* }
to setup-turtles
: G7 n) o Y- g) `5 b. e2 l set-default-shape turtles "person"
2 }( E( m) L, _3 B# b U5 y& A crt num-people+ D1 p' I) Q" f( Y, N
[ move-to one-of patches ( ?4 Q( m, W4 N3 _
set size 1.5 + p+ ]0 b& H: @: A- b
set-initial-turtle-vars-age
* g5 ]1 T/ h! G6 d6 n2 c- Q set-initial-turtle-vars-wealth( p% }* L- s- G2 a$ ~+ M! `
set age random life-expectancy ]
* R% W' A! H. j: @$ `# I6 r recolor-turtles
! n# y& h& Y5 G4 jend5 d ?/ r- U. Q; S/ j
) d$ s5 r$ h9 o/ V) [- sto set-initial-turtle-vars-age9 ]5 V' |: p0 d% c8 M, g
let max-wealth max [wealth] of turtles/ H5 _; H2 U8 z- { d
$ `& R H% { |2 K! b% h! j& n
ifelse (wealth <= max-wealth / 3)! ]; d) ]; ?: W" q6 e6 B& W
[ set color red 2 t/ h- y! |" z' L. e/ |+ ~
set age 0
: H) w% c1 u; o$ k! m face one-of neighbors4
# t% c' [% p8 G3 @8 D/ o1 d set life-expectancy life-expectancy-min +
8 p* D) ]4 E8 b1 b$ O# C% q random life-expectancy-max
9 P* q) |! ~( r) Z( B2 o set metabolism random 1 + metabolism-low
( V. b t8 S4 c' g/ d$ k0 G& c set wealth metabolism + random 303 B0 \8 i9 J* V* O& P4 a6 C
set vision 1 + random max-vision
+ J/ @$ B; i& f& ]" a" U3 [' Q set wealth wealth + Wealth-inherited-low ]
/ l1 b0 K7 f8 v! Y% b; F [ ifelse (wealth <= (max-wealth * 2 / 3))
1 i7 R/ A8 @5 i% c& ] [ set color yellow
! O+ @& k- Q7 E! L set age 0
8 r8 N; r7 P. m% [6 g2 h' ?" Z' D face one-of neighbors4
: O9 d$ r* s7 a7 t+ i set life-expectancy life-expectancy-min +
" g) k0 }( q- ]0 P; }9 x random life-expectancy-max + 1
$ v1 n5 O1 P- D J% i+ ~6 ~+ K/ t: ^ set metabolism 1 + random metabolism-mid- ^8 `% w8 v8 R9 ^, d K( Z# [5 ~
set wealth metabolism + random 306 D& p0 T5 J! ^7 ~* G
set vision 3 + random max-vision% Y0 J3 h0 b1 L' u4 h/ P- D8 m' m
set wealth wealth + Wealth-inherited-mid]
1 L( \! W/ b' W& y6 E0 l( t$ F$ j [ set color green
4 P, ]' y9 \3 h! C& Q, i: n set age 0
# A9 [. T7 n4 m7 Y/ y6 g) P; } @1 r face one-of neighbors4 # G" ~" H4 D. Y
set life-expectancy life-expectancy-min +
" k) w) t& i2 H1 W; _ random life-expectancy-max + 2
! A+ ~3 k9 f, R( F7 M, i2 i set metabolism 2 + random metabolism-up. X7 M! l! H8 L+ r0 R
set wealth metabolism + random 304 q$ W/ ~ r* a; P; q4 U( [ e: ^+ g
set vision 3 + random max-vision( d( w# m8 w8 ^3 A
set wealth wealth + Wealth-inherited-up ] ] & e5 ~, c* y6 I+ d& ^* M0 }
0 H! A: ~" X5 c, E% X, A
end# S b7 W" ~. Y- I' \1 z7 j+ E) k
to set-initial-turtle-vars-wealth$ h% L* t d$ c
let max-wealth max [wealth] of turtles
( s, j! G, r; A set age 0
4 S# \9 |# [0 X% B# W) _2 ^% h: f face one-of neighbors4 ' [0 I- c2 d) T8 \+ b
set life-expectancy life-expectancy-min +& e& m( i8 g( A6 q% _; T
random life-expectancy-max
3 t5 u. i6 ]5 x# h* p; d set metabolism 1 + random metabolism-up7 s x. i* i" l4 ]: U, S. x
set wealth metabolism + random 309 F: V+ \" ~* z
set vision 1 + random max-vision
# R( r7 K4 b$ ?4 Eend8 ]& w& V6 k. V. Q) n( g
to redistribution. ]' Z1 d# X: p1 [0 o% E
let max-wealth max [wealth] of turtles$ o& ~/ A% Y1 \7 V- s: Q
let min-wealth min [wealth] of turtles5 Z( F2 {+ [( R N& M% F
if (wealth <= max-wealth / 3)
9 D( f. C( w9 j8 A [set wealth wealth + Low-income-protection ]
$ r/ y7 y2 ~) X" h$ K! V# u# uend
# K. P! I' r: c, U: l3 |
3 l5 q5 B/ A/ T" r& V. R Wto recolor-turtles2 ]* |) b1 g* j6 V$ f) c
let max-wealth max [wealth] of turtles) N# c4 o0 X% o% x2 K
ask turtles9 u" g2 m! P: h+ b
[ ifelse (wealth <= max-wealth / 3)
m' ^+ |5 V4 W2 r$ H [ set color red ]4 M9 m2 _+ a+ Q! B* q1 _. z
[ ifelse (wealth <= (max-wealth * 2 / 3))( F; Y$ V3 {1 v A @
[ set color yellow ]
$ u0 x9 _ m/ F- X [ set color green ] ] ], j9 x4 y' o6 ~" d$ B
ask turtles [ifelse show-wealth?! L t( `2 h: t' P, Z
[ set label wealth ]& j; f H; @3 k1 C4 V' C0 j2 X* ?
[ set label "" ]]! X6 ~' B3 [6 |7 w# w( Y3 [8 Z$ v
end
/ ~! Y- `1 D }1 W" g/ a
1 z- c% Y- }* w: f- h3 p+ @to go, ?/ n. h4 A' M/ l( g
ask turtles
7 F% X( Z1 Z5 l$ L [ turn-towards-grain ]
/ _; v$ [, Q# ^" j+ d6 K harvest
+ }5 {7 ?8 N1 M! b x ask turtles
( S- Y! t# k+ L8 O [ move-eat-age-die ]
" [7 Q$ J- p7 l5 D! f4 U recolor-turtles
# m1 Q, x |% f! z( z4 ] O+ g3 o if ticks mod grain-growth-interval = 0
( ^, G+ j, G7 q' y0 s [ ask patches [ grow-grain ] ]- i3 v, J, N7 x, v8 i$ o, c" F
* X9 Y7 Y# l+ |9 [( D( p
if ticks mod 11 = 0
. k, r% C2 z9 { [ask turtles
O! c1 V9 @9 b! p [ redistribution ]]
5 y, I2 R# l. ~) E* w if ticks mod 5 = 0
3 w5 m. ^- }: Y7 U' R" Q! y [ask turtles% X q& \3 `. Q9 Y0 J! l
[ visions ]]1 k8 I6 m: j5 P
tick* N- Z+ f! q R( G4 B6 U
update-plots$ J; S% F- E% j! \& z
end
6 o G4 Y, A: kto visions# k% ]. d5 N8 A) U* `
set vision vision + 1
^0 K& e% a- t1 n# {end
% |1 n. b5 \- T9 L2 i: f) M, L; E6 ~0 I( @* |/ ^ C: j
! @! L8 ^* n+ U
7 Z: i' X9 D! M1 L! d' g/ X- c
to turn-towards-grain
& J- U' E1 k& u5 V set heading 0
' r k' u0 b2 u0 r5 ^! M) o+ d9 b# Y let best-direction 0% u6 [, ~8 z& U. E5 E; W
let best-amount grain-ahead
7 q5 U* w# i q& U) Q2 w; L set heading 908 l0 n- t, I8 ~* Z( f6 p
if (grain-ahead > best-amount)
5 c9 n/ x' {4 ]" E6 I7 }# \ [ set best-direction 90
& h* b @1 v1 P. k* c0 i9 J set best-amount grain-ahead ]
% w. G% v9 _- d set heading 1808 L' V; v* `# I- s/ G9 @% I
if (grain-ahead > best-amount)
9 l' q7 h' C9 Z" R9 @ [ set best-direction 180
. d% F- p+ A+ j% _8 F set best-amount grain-ahead ]
" I1 q8 n* |- U set heading 270
5 d k. @2 x: J( t if (grain-ahead > best-amount)! P) O+ |# C g# c2 s6 ~- ?
[ set best-direction 270
@" @! r- n$ F. a5 T( l set best-amount grain-ahead ]
0 _. s8 E( L1 |& b0 f8 f" `' i set heading best-direction
`4 {) o) {8 ~' L" oend
! q* S- e( u/ |, x. ^& Z+ N9 n. u, b; r5 O* n. p! W r
S) l$ A! Q0 c) H3 E/ L! nto-report grain-ahead ) h4 p/ a r/ B! W: P) f. K& ^
let total 0
/ E# D5 e, }: ^7 E+ r. Q let how-far 12 f1 u+ m; {* D! Z0 I
repeat vision
5 L+ p. b/ U& @3 y$ J8 l [ set total total + [grain-here] of patch-ahead how-far3 |9 ~7 P9 m1 x( I8 P
set how-far how-far + 1 ]5 S6 u6 R% D2 |# M. j
report total# q& i/ I* \( T% I
end) T# X6 Y, K7 E" {& `
8 T& j4 o! K8 J8 a$ S
to grow-grain
$ r% [/ @/ B) A" t4 d; p; Z if (grain-here < max-grain-here)$ m) ]: N0 e7 v0 P8 G
[ set grain-here grain-here + num-grain-grown+ M0 |" S7 O0 O' t: x
if (grain-here > max-grain-here) K7 G8 [7 l( @8 J o
[ set grain-here max-grain-here ]' l1 N6 @. ~9 g5 h
recolor-patch ]& y. V! K7 h) n8 S
end8 X( T. D0 q6 h& y% x, z
to harvest
" y* b2 C. X2 Y ask turtles
- k A0 L0 M& x" m7 Y4 R [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
. L# y. J' D d3 F% }; ]' A ask turtles
5 G, I) t& P+ Y* X1 C [ set grain-here 0! B: M& c- @" Z/ L! x
recolor-patch ]7 N5 G: Y3 r( n; ^) L, ^- k
8 T" n$ L% \$ q
end
% S" e; i) W8 H8 u- K! j5 p$ P. [- c0 m w3 A- N
to move-eat-age-die
9 |- g, D3 `/ n( Z# L! m- m' F3 V fd 1
% I0 n! Z* V+ B set wealth (wealth - metabolism)
& J1 s: N: M; M1 i2 \, d! F set age (age + 1)8 k" v4 O! I6 ]- y. x
if (age >= life-expectancy)4 V1 u, w4 J5 z; N% Q5 e& u
[ set-initial-turtle-vars-age ]) Z; J- K( X) u# ~9 f
if (wealth < 0)6 Y! w: E% ?3 a
[ set-initial-turtle-vars-wealth ]
- L0 {) r8 @: Q& L+ N7 @
+ ?. U7 |( F1 Y* C2 \$ cend
, y: S+ j# o8 ?2 `+ E, O8 e! R! b" L* e$ H# T/ ^3 V8 E v
0 M7 T4 O+ g6 \
to setup-plots
" H1 s. e3 i; b set-current-plot "Class Plot"
: m2 }$ ^0 \ V; O set-plot-y-range 0 num-people
5 ?6 d! Z$ j. j7 L set-current-plot "Class Histogram"' v- F5 j# O% v( s
set-plot-y-range 0 num-people
' K l5 n3 s0 Lend1 C1 T$ U" v; u: U* L
8 K+ B* Q7 S; E) |" q5 S# @
to update-plots& Y4 D0 j9 L. B* k. T
update-class-plot0 A! a0 h6 k; H$ C# @
update-class-histogram
2 C0 _/ l) C% F/ e$ j) b update-lorenz-and-gini-plots! X6 T G" V1 X2 I z; `' T* X
end2 H# G% \) h* }1 x4 P- |
* P* _; P& i; S! j; L f
to update-class-plot
" O, T* d5 H F# Z$ k set-current-plot "Class Plot"* V) Z, j* o; ]& @: ] H; q4 c
set-current-plot-pen "low"
, l ~9 K' q& \ plot count turtles with [color = red]% Q4 C5 n! ~; O- y+ A9 \
set-current-plot-pen "mid"
$ b0 q; t+ x; P3 I plot count turtles with [color = yellow]
! x( G, {, ~. z4 B$ a set-current-plot-pen "up"
. _% M# ]3 H% ]/ S0 X( C2 w plot count turtles with [color = green]
' G) X4 {! G9 \/ \; o" r7 q, wend( n P3 J' V% G0 t2 f
$ Q% v3 K4 g" i9 k% U" o5 t, _+ Nto update-class-histogram
7 Y$ Y6 V9 @' ? set-current-plot "Class Histogram"5 x: P! \" f2 o
plot-pen-reset
+ ~$ g. P5 J# y# C% u set-plot-pen-color red
$ H, N1 K2 W0 I7 B plot count turtles with [color = red]! q1 u" i) U; J, F
set-plot-pen-color yellow
& J3 F; |- }: \4 G. J9 ~ plot count turtles with [color = yellow]8 g" F3 B1 U( R! M W
set-plot-pen-color green
: }4 a' [2 O7 @7 [3 a, Y9 H3 U plot count turtles with [color = green]
, k$ B. d: J d/ F' G6 c* P* gend
m1 L; t, e! I5 t. ~9 b6 E* uto update-lorenz-and-gini-plots
* Q* S6 g7 y+ d/ g' q- c set-current-plot "Lorenz Curve"
8 M/ \4 A( F9 C1 O) }( ~ clear-plot
3 ^4 p l1 P6 U% k4 n1 ]" g
$ [7 d9 a; G+ D( J" h, T set-current-plot-pen "equal"- N `( m0 I/ f) ~2 T7 P
plot 0
/ G5 q0 a3 j+ l+ ]& g, r plot 1003 g/ a4 L `6 U, I6 Z0 V6 a( f
! Z- h& C$ }/ t set-current-plot-pen "lorenz"4 u% }# v# b: r+ D" V
set-plot-pen-interval 100 / num-people
; F( V$ g' h8 ^5 O7 V plot 0
! {" Q6 O' _/ Y3 x
& ~/ S5 |: K# |, k% r* n! C let sorted-wealths sort [wealth] of turtles
6 b6 ^9 W) t8 g0 x/ k let total-wealth sum sorted-wealths
# q4 G3 ~' l4 i7 A% b; t' |2 O let wealth-sum-so-far 0; Q1 O: g- J& v: S C
let index 0
. k0 [. z5 f* m- z+ q let gini-index-reserve 0
8 z7 e3 m+ v- g; h9 K' [, N* Y/ x+ N9 C, @ n) k1 G: A
repeat num-people [
9 P3 c/ \# o7 B+ c7 @ set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)( B! I" T3 c& g
plot (wealth-sum-so-far / total-wealth) * 100
! [ k8 N+ P2 _9 e set index (index + 1)
0 k! p2 K! M# L) f set gini-index-reserve
8 o8 Y; [* H3 e3 q8 F! y gini-index-reserve +2 o4 C9 E' `: m a' a
(index / num-people) -1 m9 _# j2 x/ x9 i
(wealth-sum-so-far / total-wealth)) l1 j/ `1 A: q8 @% B0 |; ^
]% S' L6 H0 p. Z u d6 p1 B$ G8 d
, T0 e; ]8 N& S# M, d/ C; y
set-current-plot "Gini-Index v. Time"
5 y0 [7 z9 A* F plot (gini-index-reserve / num-people) / area-of-equality-triangle; p3 x! H& y( a r7 C6 M
end
! i, `7 N! v2 ^; V$ C" Tto-report area-of-equality-triangle
% W3 g; K" t( _% I) h' _) d report (num-people * (num-people - 1) / 2) / (num-people ^ 2)$ l. u* B" b: d/ q/ p, y1 Y8 r
end |