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
/ G I) G+ `5 C) G! @! ]4 A! p7 q3 o6 P' Gglobals
) i* M2 ] `& E% y0 C[
7 H$ E% F- Z! e7 ~" T max-grain & x; G6 _, C9 G: ? j* {9 `
8 f( Y L3 ~: ]$ y; o* y: u4 @5 P
]
# E5 u$ o; H5 T% A! @, A5 p% I
9 n7 m% M9 u( p2 L: L' s9 ^) Rpatches-own
/ f+ I& a5 G3 f* F) ~% w0 e# ~' J$ V[
$ t8 {" {' ^6 l5 E2 B grain-here
6 `9 X% k, @( q, i3 s) g3 ] max-grain-here
" J/ ]2 Q/ @" x: A, H& g7 f4 O. Z; f], C6 Y! y+ p5 J4 q/ k$ F
4 F& B: Z% U) G; m1 e. M& k. B. Uturtles-own' k W7 f8 B7 K: w0 |* e
[
1 w$ W9 o( N4 U U+ U age - X8 ]& v& w _$ i
wealth
@! I% s/ m0 p0 ]0 A+ g. k# H6 Y life-expectancy
+ }- G# ]& h# B metabolism
$ Y# Z$ n8 ~; {/ c vision
8 d1 N; q" s* l* x& Y* H2 \; e inherited - R3 A1 n; y; u
]
1 g# Z$ L3 D) U9 F/ S" n- z2 ]7 U% O( u0 B1 G9 L4 Y
* @+ Y' P/ |5 O, ^9 H' e% }
to setup) x: _" P$ U( [* Q* f
ca
( a' A3 T O; L9 W set max-grain 504 m7 v$ H1 L0 N6 f
setup-patches
3 H" R, @! I( W6 G" t' G setup-turtles
+ F5 u* h' y5 Z% d, M) l, e+ v! |# a$ j setup-plots
; G, `; a0 W& J" w. r update-plots
) f; w, X" r- t, xend7 D; G5 w# E6 P& D6 p B5 M, D
to setup-patches
: i! _* ?$ f4 {1 }# A; u" S ask patches2 o/ q: h* u N3 K2 O7 ~- m
[ set max-grain-here 0, s, N/ G P: B* a
if (random-float 100.0) <= percent-best-land
z2 G5 |( M* T. M \0 [6 F [ set max-grain-here max-grain
; Q! K. j! B# W y0 }+ A set grain-here max-grain-here ] ]
3 U! K, o; t4 j$ R9 O repeat 5
7 B% e* M, g, K" | [ ask patches with [max-grain-here != 0]4 R2 a+ L1 F3 }. G5 o, ^
[ set grain-here max-grain-here ]3 e. B% a6 @8 W& }% d# Y8 @& ?
diffuse grain-here 0.5 ]
1 ~8 w& w9 p7 ]" ` repeat 100 B' w. I) |. v2 X$ P; M9 c
[ diffuse grain-here 0.5] # u* p- W. Z. e& h" M7 m, D0 b
ask patches
1 U+ j! E. x3 F0 w& `+ e, S# H/ R [ set grain-here floor grain-here
8 A3 m$ b) ]6 S: k/ q+ [ set max-grain-here grain-here
% U% j( k( g- q. z- U recolor-patch ]
+ d$ }$ ~8 L& a7 v8 Send
6 r# `6 I: W) j3 t3 {to recolor-patch
+ b( o+ m4 w2 o set pcolor scale-color sky grain-here 0 max-grain9 ~; B) i b$ ]. S2 O( ~1 b' c
end e1 N+ i5 |3 U; n! d
to setup-turtles7 N Y, `* X6 H7 w3 Y" W! h
set-default-shape turtles "person"
3 u, L) w6 N; B4 O: |" [ crt num-people8 M+ G |+ f' o: P! H0 k" }' N) u; y6 z
[ move-to one-of patches
1 Z" m# f/ U1 X! c& x7 W set size 1.5 ! t7 d6 u) I, F" R* U
set-initial-turtle-vars-age4 E5 m$ D5 q$ |1 M3 g
set-initial-turtle-vars-wealth: w/ Z. Z: S# L) Z# R4 \! e
set age random life-expectancy ]
k' I/ z% n, T0 K9 S# q& N' F recolor-turtles& ]3 w: X. h: | O$ w. W/ K
end1 _" |2 B% x4 E% s0 T, g( T3 U
" a" j& c! l0 G0 w& Tto set-initial-turtle-vars-age/ \+ l% i$ P# a W
let max-wealth max [wealth] of turtles/ H3 i9 M! c% l, ?2 i
9 Z( i: d) w9 y1 v1 d
ifelse (wealth <= max-wealth / 3)& G( ~. U8 @: W* G$ V! r: F
[ set color red 8 k! K' d* `8 \2 C/ B+ m! R1 h7 d
set age 09 ~4 L$ ]5 X+ K4 ?
face one-of neighbors4 ' S# ~2 U! O9 ^' A( }+ s) E" I
set life-expectancy life-expectancy-min +- D8 C* H1 g8 ^% p( k& s" y
random life-expectancy-max
9 |$ s* h; k+ S* T1 H# W$ k set metabolism random 1 + metabolism-low
`* S; N' x- q% A set wealth metabolism + random 30
' G- d5 O- d4 H" k3 I set vision 1 + random max-vision2 _+ ^+ M- j9 i2 L; I
set wealth wealth + Wealth-inherited-low ]
5 a% F/ n$ L) a9 p" ~* c- y8 E [ ifelse (wealth <= (max-wealth * 2 / 3))
) Q+ e: X9 O% F( F* a7 m, g9 C' i$ b5 G [ set color yellow
6 g7 T2 d8 H- N7 h set age 0" k) s' U# t! l; Q8 `( X; S
face one-of neighbors4
+ Z: |& h5 h, X3 A% r set life-expectancy life-expectancy-min +
! c0 h4 e) H% G& U9 U: M+ m: ? random life-expectancy-max + 14 H! I# I1 |/ C2 C2 U
set metabolism 1 + random metabolism-mid5 |6 S1 F5 P( _+ J1 z% Z
set wealth metabolism + random 30* }; i$ c3 _1 \+ E2 [
set vision 3 + random max-vision$ p( ]# T# E r- l. W' T* H
set wealth wealth + Wealth-inherited-mid]
1 H* y$ R- c9 Z- d6 c) [ [ set color green 3 @# P; o' C6 R) ]
set age 00 ~3 [* t! E* N# v: L7 d1 l" R }
face one-of neighbors4 0 x* O6 a2 X/ {3 Z* b$ S
set life-expectancy life-expectancy-min +' L1 y/ b. s# H8 k# l
random life-expectancy-max + 2
. U5 u- ]; r" ^' q" F* Y# [: w) ^ set metabolism 2 + random metabolism-up
* k7 y8 a5 ^- b5 V+ o set wealth metabolism + random 30
5 n7 N- h* }0 F" R, | set vision 3 + random max-vision2 W5 a8 ]- N7 v K/ S
set wealth wealth + Wealth-inherited-up ] ]
1 F8 M& q/ ]' Q' y' F _ 9 X( q5 B2 V; b
end
5 l D5 O5 s2 s# ^: ^to set-initial-turtle-vars-wealth
% {! H1 Z# p& V f6 d" O2 ] let max-wealth max [wealth] of turtles
4 J3 i$ q% c# q0 N set age 0
9 a) u- i2 [* H1 K' G# w face one-of neighbors4 . n4 L x( V$ L0 ?
set life-expectancy life-expectancy-min +2 v4 `, _1 L) }0 J
random life-expectancy-max 3 f& ?' ~5 ^: v$ w1 o
set metabolism 1 + random metabolism-up0 i: D+ i% p H( g; M; U7 L, f
set wealth metabolism + random 30
4 X6 a( [* a, P- M$ G1 ]# r set vision 1 + random max-vision
* r# U0 k7 G8 R, X9 Uend
- X0 s' p( W$ J4 T; O- @' qto redistribution8 L& p% {- I8 D# o" _
let max-wealth max [wealth] of turtles( k, G- A& a- g: q
let min-wealth min [wealth] of turtles9 A1 [+ b3 J- U( P+ n8 }
if (wealth <= max-wealth / 3)2 {& e) z J# Q
[set wealth wealth + Low-income-protection ]
& }, Z% o, T/ }/ z7 M: N* }end& k L' n( ~# s( k) I' m
) L6 S- N* ?; F: L0 s0 }# sto recolor-turtles% M% p( P2 R) H( x/ O9 a
let max-wealth max [wealth] of turtles# s" b1 K5 v8 z* @, L, B v; Q7 m
ask turtles
$ ?: c$ a# a3 h3 m [ ifelse (wealth <= max-wealth / 3)+ {5 A! g [" H( b) q
[ set color red ]: I" _7 l" m* [7 e) e. Q- K7 P$ y
[ ifelse (wealth <= (max-wealth * 2 / 3))! v. U- i! R+ Y2 V
[ set color yellow ]9 i# u& Z5 |( T
[ set color green ] ] ]
# n. L1 M( |# `' |; C ask turtles [ifelse show-wealth?
/ E# A) X: z" W5 z o& U [ set label wealth ]
7 J, F4 c. B9 T! M/ j [ set label "" ]]
4 k2 C; {: l- m' ]$ u4 k4 jend
, \4 O n2 B/ _+ w
9 @8 j$ d8 h% O; o. O! Z, l8 J4 kto go- D& S2 d6 i( ~' l- S8 t$ a
ask turtles
4 f% W5 a6 o) e [ turn-towards-grain ]
2 p& K" ? E9 f) r) Q; ?% P harvest
3 a0 B7 B0 K# [9 G& q$ B/ u ask turtles: `& I8 @8 U. T/ j' P: h
[ move-eat-age-die ]
5 P4 y. `1 c: x- A/ S: `% M$ b recolor-turtles
2 L- p; E$ C; N5 q; \1 p) } if ticks mod grain-growth-interval = 09 e! A T& V6 x8 R
[ ask patches [ grow-grain ] ]1 V; g" ?$ |) q4 O) L2 X
8 I, \( w S) F. r$ K if ticks mod 11 = 0
4 S5 O W) N2 I; U7 f* _* M+ W5 n [ask turtles0 s, q" M$ X, P# c# K6 _+ b( g# K
[ redistribution ]]8 E4 A7 g. {! x: F% J
if ticks mod 5 = 0
( S- U4 S0 }& c1 K [ask turtles
8 P: F9 A& S/ t/ u [ visions ]]
8 z$ h- p/ M4 I2 a. Y) v2 M5 H. D: o2 b tick
3 Z! B) m8 a5 o( y/ C. J update-plots
% l; G8 @' K5 ]5 Mend# ]1 T, w' [7 y7 C; Y# K# _( w
to visions E8 q" j6 f1 ?4 T: Q
set vision vision + 1
9 J$ o5 C8 b- {+ ]5 vend
5 }+ ^) S* c- s1 q) T" s1 ?* t% \$ e' f
4 e c- U" `# [- R9 ~
: e- Y& ~8 D5 i2 U4 J) c
to turn-towards-grain 9 l! w5 d1 T( h! E
set heading 0
7 z6 ]! c1 E! B% j2 B4 Q6 Z let best-direction 0
9 t; ^8 `5 U8 d5 p let best-amount grain-ahead( p7 S) [" ~9 I4 T5 P4 B. T
set heading 900 K3 t4 O! w9 v1 I2 V& S
if (grain-ahead > best-amount)
( B# V" B O4 D: {' U [ set best-direction 900 ^, I; V6 K! j5 l$ k
set best-amount grain-ahead ]
" s& ^8 s! F/ h) r$ y' b( X set heading 180
: Z) C8 t8 j h; } T, E+ I if (grain-ahead > best-amount)7 H/ s- T0 s- a {" ?# g2 ^
[ set best-direction 180( U! ^6 {1 S! _. u* u4 _" [! P
set best-amount grain-ahead ]* b- u% U# o8 ]" `3 O. D" ?9 C
set heading 2700 l: G) M% M: ?; g. |* M
if (grain-ahead > best-amount)
3 l9 Q. N' q" X8 c" i5 l9 u [ set best-direction 270
8 y' Z5 x- o% M/ w2 E! j/ b set best-amount grain-ahead ]
4 r6 M. Z0 J9 K) v8 ` set heading best-direction
( L, @5 K+ A4 oend# w5 R9 i. J8 Q T1 v: X% ?5 u
( M& q; { t6 l2 X. V( l/ @. F
K6 B6 R0 f) o* T Q& g+ L6 c; T4 q/ Y
to-report grain-ahead
8 V% k* m$ w+ k0 k5 ^3 a" C% n0 T! @ let total 0: [0 z$ o( W! i. W
let how-far 1
; p0 `* l7 t8 q repeat vision
( W6 Y( k: F4 q! h* U7 r2 j' c [ set total total + [grain-here] of patch-ahead how-far( e( U. ]9 H5 s/ @
set how-far how-far + 1 ]
" l- W& N8 U6 B/ B) d9 | report total( h7 v$ R4 i/ x
end
" a4 {5 x6 S7 ^ R: j: O+ X1 `# [- k% L ~ X2 c3 I: ^
to grow-grain ) Z# `/ P) ?% u' Q7 J8 u) G& \ C
if (grain-here < max-grain-here)* `: a! T2 i) @$ } b
[ set grain-here grain-here + num-grain-grown
5 D) A- E# a) P( K2 g if (grain-here > max-grain-here) " y, F2 |! O% l) _: h. u
[ set grain-here max-grain-here ]
' f) K+ z/ B) Y! w recolor-patch ]
5 t4 f) s! S( L/ `end
) k, a. f8 O+ z! l. }0 n# |2 C) jto harvest
) t" [" t X/ @6 j( r5 u4 X9 _ ask turtles2 }1 m" s7 I; [1 ?+ \: d9 [
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ], \* K5 D M( M0 J4 M
ask turtles
2 X, m" n" ~' a( G [ set grain-here 01 j( q/ F/ ^) V- Z' G9 e: J3 ]
recolor-patch ]- K# g6 j' _7 `( L7 t! p6 `
4 I4 Z+ N# B& a! send
) d5 O1 b% ?8 O; b# Y: \, Q
5 y0 I3 |: k2 u- g5 n; Y; d! jto move-eat-age-die & O2 H- |9 N6 \3 [% n3 u6 V$ U
fd 1
S; T* N$ k8 S. `. j% N set wealth (wealth - metabolism)" [; D/ {9 e8 \# Z$ P# h
set age (age + 1)9 Q% c7 O5 G$ M$ }
if (age >= life-expectancy)4 `9 ~/ @ C1 y6 ]- t
[ set-initial-turtle-vars-age ]
- y ]$ y# v6 N$ t' b if (wealth < 0)
5 L0 u' D/ A! }! D" a8 l) C+ w [ set-initial-turtle-vars-wealth ]3 L% O# `$ t. W6 v
/ V( G$ k; u0 b% Xend5 `# o: ^7 @- q" Y! c" z! f
# l1 ?; o+ Z; v( i$ A4 [
/ y# }4 |- r" e9 _to setup-plots, o. c4 T# j b- ?: {. Y+ X
set-current-plot "Class Plot"8 N" l# e' x- C4 A) g4 ?8 I- y
set-plot-y-range 0 num-people( S8 J5 U9 v% u8 K' v* @' z8 O
set-current-plot "Class Histogram"/ t0 i! l3 N, L0 g
set-plot-y-range 0 num-people. F& E9 F; S! ?( A7 g
end A7 I. W+ O1 Q( z: Z K$ ?" r$ c
# D: d; p! v6 I) L9 w+ H* \to update-plots- R" E' C- g2 g
update-class-plot- B; a1 u7 ?$ b2 O$ n; E# L
update-class-histogram
$ Y( f3 f4 o9 K4 ?5 G update-lorenz-and-gini-plots3 W9 z) o. m; t2 S, ^
end
7 g/ r E+ x8 p! A1 \5 [
5 g- f* r& C% E1 ]6 P4 U+ \ ^/ Tto update-class-plot2 W0 w9 r! N3 `( p1 S6 m
set-current-plot "Class Plot": j8 N' N% B$ R' a4 c9 W9 z. }% L
set-current-plot-pen "low"
6 s- |7 n1 W" O% E- t+ s# k plot count turtles with [color = red]
. ^. M9 N6 n% O* B set-current-plot-pen "mid"( `6 x( Z5 Z4 {! q+ W" {
plot count turtles with [color = yellow]2 D8 L/ |, T$ d7 ]6 V& A/ r3 L! _
set-current-plot-pen "up"
- e' [+ O4 y, h' L) g4 x plot count turtles with [color = green]( E; I7 n% w' l6 ~4 b. u4 |
end+ D4 t8 k c; |# `4 U: O7 ]! Y9 n
2 b7 F) P7 T* @8 j2 E0 zto update-class-histogram. Z. k3 T! _( Y
set-current-plot "Class Histogram"
3 H4 Q0 P9 T1 b/ q) L4 A+ V plot-pen-reset
5 E( S0 n w/ _3 P, F! s. X$ D3 k9 F set-plot-pen-color red
9 u+ |# C, U; S) `2 x plot count turtles with [color = red]$ [ u; x) x, [ t
set-plot-pen-color yellow; }. S3 H# |1 b% C0 I6 `
plot count turtles with [color = yellow]: I: c; Q6 m4 E% _0 h- e" n
set-plot-pen-color green4 \9 N# e. {: j
plot count turtles with [color = green]
: f% K ]& V2 v A/ u7 k% uend
% Y# b+ @' e8 k! W& \to update-lorenz-and-gini-plots& \* O. a* f6 r' m0 k4 \9 ^
set-current-plot "Lorenz Curve". K- ^7 {; U7 X0 E# E
clear-plot
) M- z3 p: H: l- E1 T: C7 l
& N+ \ [( c6 [* F* ^ set-current-plot-pen "equal"
l8 D. _; n. T" k; S+ s+ g plot 00 o# [" ^; R2 B* i' p% T" T/ H
plot 100
- J7 ], [6 X0 }$ u# k9 v! `7 C+ H* i1 K' j: F0 d. o
set-current-plot-pen "lorenz"
. _& y- [! o2 x8 f! ` set-plot-pen-interval 100 / num-people
; T9 `% t2 Z% d* l: W% h! O plot 0
, L5 |) Y0 {# r9 a
2 B# ~2 G! a% V8 M& u% } let sorted-wealths sort [wealth] of turtles
5 _" G( ]9 l$ `; q" l* C let total-wealth sum sorted-wealths
) r2 A3 A; C. u% e let wealth-sum-so-far 0/ L. a0 I$ n" x- }! V- o7 |
let index 0
! S' h4 d4 d' B let gini-index-reserve 06 B2 n% N; s4 I! F/ w! Q6 E
9 }) D* l! D* J4 |; }( q: w repeat num-people [$ g$ K1 ~1 K3 m; \
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)- a+ N8 a) r! I+ L* [
plot (wealth-sum-so-far / total-wealth) * 100( R1 E9 k$ [# e6 C& X
set index (index + 1)6 _; }3 ] Z! l$ f0 X' T* E, ?
set gini-index-reserve- v- {( k/ i# m! c3 j4 M
gini-index-reserve +) x: y3 g. W; s9 x+ A% B2 B
(index / num-people) -
8 e# p' E% J5 W) o0 Y2 k (wealth-sum-so-far / total-wealth)
- O+ w# {7 p5 Q/ t+ }3 Z' l ]; Q! y1 Y- n& t+ c
9 {/ \0 p, c$ Q+ u4 N8 e
set-current-plot "Gini-Index v. Time"
; S5 X/ G9 f- t) m plot (gini-index-reserve / num-people) / area-of-equality-triangle. d4 @7 y! }# }" F
end
0 s9 {9 {; q4 rto-report area-of-equality-triangle
# D! Y3 r1 I. j/ K8 u1 F report (num-people * (num-people - 1) / 2) / (num-people ^ 2)) E' O5 C* j; K5 Y0 z# X
end |