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) s# V$ d# i4 ]% qglobals& X% ?% j" R- k5 E$ F
[
: Z1 V) g/ Y3 s$ {' b! D- j max-grain 5 `2 W4 o; i& W3 E: u
/ j( V+ i T0 i8 E]
! s( z* l4 P- q% t1 T4 e
6 f6 N' ~; J- ^, E1 x0 w7 ^) Wpatches-own6 D+ G4 r! S5 g3 i% l% w
[
5 v4 e5 i3 h% l# `" W- f5 h grain-here % `1 @# x0 w3 s$ E$ u; ?3 h# [: V
max-grain-here
1 g( G2 q9 X: h' y0 I; C1 P]- N& W7 F; c& r' E; S" ~
+ n* L8 u! q' F r
turtles-own
( F% L ~6 D$ g[$ k) |( W4 M7 A6 d
age % f6 I$ y6 }7 ^, {5 B
wealth 7 y8 J1 U1 x6 E" ^% @
life-expectancy 3 p2 \( A" E! A- B5 g+ t7 D. ^6 \
metabolism , n& H3 ^) J C6 g! {
vision
k& |% J6 z5 `0 y) X6 x inherited 6 W( {8 ]; b8 f; U2 T" j
]
9 T' k$ e. N! ^5 y5 V9 n+ J# k$ e8 ~) L4 ^
) ^/ `" x1 s) D
to setup+ {6 S% @/ D0 s0 y; F
ca# R6 d5 Y# R0 S1 ]3 C$ Z+ ?" T
set max-grain 50, T. D$ V/ \' a
setup-patches, C% |$ O, j `
setup-turtles
- H- v+ l; p1 M0 r setup-plots `: N$ |3 d5 z# d
update-plots9 @3 L4 L# \( _+ s8 [1 y, d
end
3 [% Z$ M S6 h* a6 zto setup-patches1 S. L$ L$ k& B( U |+ a+ h+ u- S
ask patches
8 k. K' b0 o; I* i; O' g [ set max-grain-here 0
9 T/ m+ G2 g- X, K! N2 |- R! e! a if (random-float 100.0) <= percent-best-land3 q+ I+ r8 K0 H, c: S
[ set max-grain-here max-grain
* C; H6 _ I9 N/ \7 z set grain-here max-grain-here ] ]( Y& d0 ?' a( ]& n4 [* J4 G
repeat 55 }1 K t1 I- I; U; C3 `( v P
[ ask patches with [max-grain-here != 0]
8 | _1 V- F) `5 U [ set grain-here max-grain-here ]& g' c# F, F j/ K$ L
diffuse grain-here 0.5 ]
0 _) Y% w& U& I0 T% P0 N/ p repeat 103 F* U+ e2 T$ W5 U- q4 l+ U
[ diffuse grain-here 0.5] $ g) S$ }5 @4 H
ask patches
+ K2 _* }% E0 U+ {6 { [ set grain-here floor grain-here
2 y5 a: n& A w3 y/ n4 Q set max-grain-here grain-here
. L: v/ y; H7 V6 F# j9 @( G* _( w } recolor-patch ]
8 { U6 v+ s, G8 }0 o; _- ^; _9 z: Hend; {! U& g2 d: i% q& r
to recolor-patch
+ @( ]4 j4 I9 n% E& x; o set pcolor scale-color sky grain-here 0 max-grain
/ p' g- ?% W4 l" l! H* c' y% k5 jend
R# K% N3 r) eto setup-turtles
4 v7 c0 `3 B, ~6 x1 t$ Y P set-default-shape turtles "person"
- f1 ^: p9 e' W! J crt num-people4 Z1 t) Y2 w% m# G2 ?
[ move-to one-of patches $ c- x, R# A# H9 D' s0 S" j, g9 u" q
set size 1.5 , x: {) n' A& b# A+ o% u5 p
set-initial-turtle-vars-age
8 _% a" Q. b& L8 ~ set-initial-turtle-vars-wealth) Y: }6 A8 c& I, i+ ^+ @
set age random life-expectancy ]
- } N8 p# u+ F) v* R4 S recolor-turtles
' k' s, b3 p8 ?1 Oend
- j2 f! R F/ c8 i) f
& I9 _8 `$ h4 J0 M) ~2 bto set-initial-turtle-vars-age2 v7 d( D; X, O
let max-wealth max [wealth] of turtles4 H, b8 Y8 g! y. ^8 P8 D$ U, n: {/ k4 G
8 Y& g# v7 l: f* q& q
ifelse (wealth <= max-wealth / 3)
L9 p4 e3 a. U+ c [ set color red 9 s# g$ u9 \8 I) s6 q
set age 03 ~& E! k0 ~' k" q. @) q2 w8 o
face one-of neighbors4 " t2 o/ ~- r/ k( W- _) b7 Z
set life-expectancy life-expectancy-min + r, r |5 f2 ~7 d
random life-expectancy-max
8 g1 \, r, v; t0 @5 y2 O- n set metabolism random 1 + metabolism-low4 f! v( H# N8 J
set wealth metabolism + random 30
: W( K4 f' z* [' X7 u2 } set vision 1 + random max-vision
, j8 C X& T7 p8 X set wealth wealth + Wealth-inherited-low ]
, i* E: y. l+ R2 H. Y [ ifelse (wealth <= (max-wealth * 2 / 3))/ c2 i; e' T# ~ [$ M/ P
[ set color yellow 5 A. ?, |" R2 ~# y
set age 0
7 `7 F" c* N1 @( k9 _) u/ C. ~ face one-of neighbors4 # e) |( ~' _0 F3 N, `2 |; {- k
set life-expectancy life-expectancy-min +2 K0 D( r- x0 G& P
random life-expectancy-max + 1
* ?8 ]3 Y. }1 S$ g4 ]# H# n set metabolism 1 + random metabolism-mid
& H5 r0 g4 C/ v. n1 u) X set wealth metabolism + random 300 T8 Z0 E: l H+ T
set vision 3 + random max-vision
# M5 l1 @ @4 ^" H. G) ~6 J set wealth wealth + Wealth-inherited-mid]8 |* I) T0 z& ?
[ set color green
' F! s. m0 B$ Q @: i2 h. \ set age 0
! c- i. Q8 b( {) v face one-of neighbors4 D5 K1 A3 E8 S( q8 x
set life-expectancy life-expectancy-min +0 L3 o+ a# x- l/ a* x
random life-expectancy-max + 29 e U6 H0 ]2 v" G O+ ^
set metabolism 2 + random metabolism-up
0 S I, `. _% ]. w _; y set wealth metabolism + random 30; b' h0 F* j7 n9 [/ l5 ]9 g9 T
set vision 3 + random max-vision) c o& X7 U9 _+ c3 d O$ U
set wealth wealth + Wealth-inherited-up ] ]
* V& K$ i U% b
, r1 @6 l: l, [, qend! G1 K1 m/ K1 q6 O0 _
to set-initial-turtle-vars-wealth+ w9 T2 b. j# ]: v. P( c# O4 s
let max-wealth max [wealth] of turtles
. f4 o5 {) w3 r" M4 f& \/ O set age 07 ?+ _0 a/ O5 q) Q9 m
face one-of neighbors4
' U1 i" Y4 y6 @8 I set life-expectancy life-expectancy-min +% H, B* r& q% }4 _+ m7 }3 o |( b( I
random life-expectancy-max
, V, J. r# Z2 _/ r8 I+ F set metabolism 1 + random metabolism-up! @0 |. T6 G. c1 v( v; |3 F
set wealth metabolism + random 304 l$ n% d# ^) m' A
set vision 1 + random max-vision
% q0 N \8 _% y) W( n, J. xend k/ U1 Y" o0 ~# s
to redistribution9 {% ?$ u. u3 S
let max-wealth max [wealth] of turtles; ?% Z% G) }5 W) I7 l
let min-wealth min [wealth] of turtles' N& r) ?# V' M
if (wealth <= max-wealth / 3)
1 q$ @9 v* @& ^! g x [set wealth wealth + Low-income-protection ]& N. V! L; h/ b" F2 G* T
end ]1 Y4 w$ `( M. Z6 c* r# j# d
* Z& s: K( X0 H) b5 }3 S( _to recolor-turtles
) b% H+ f: A3 ~0 Q7 ^% R2 L& ?4 | let max-wealth max [wealth] of turtles
1 o+ f$ q; o: t3 ]- O- P ask turtles+ U6 X* R8 U0 t6 K
[ ifelse (wealth <= max-wealth / 3)% b/ f' m* L+ `0 }
[ set color red ]
4 Z7 V I' |; U6 X' [ [ ifelse (wealth <= (max-wealth * 2 / 3))
/ B+ v& y7 O- [0 ^: G& Y$ o [ set color yellow ]+ J" G- E* S) a3 W% [' m1 O' P: h
[ set color green ] ] ]$ T" }( g/ k- g) ], @( D5 g' S
ask turtles [ifelse show-wealth?
9 E4 ?6 Q: ?" t4 _ [ set label wealth ]! g! D1 B4 s0 O+ {9 f
[ set label "" ]]
' W7 F+ q/ ~5 d3 @6 kend
7 w: z; r9 f3 x7 Y5 q# s, `; [6 `( n! y; F6 l$ X6 ~; x
to go
1 e5 c% B4 @5 B+ M# L4 L3 r ask turtles
) P3 b# O: p- F! d: Q [ turn-towards-grain ]
2 `% G1 X; O7 e: I harvest
- |+ u" J! G$ E7 G l ask turtles
8 | R) R9 k2 z: h [ move-eat-age-die ]4 T3 R9 q; ~' J& o0 s7 ^
recolor-turtles
/ B5 ]. B* u R: g/ ~1 w if ticks mod grain-growth-interval = 01 s1 z, M; j) _$ v1 ^
[ ask patches [ grow-grain ] ]3 T% \* M2 W' ?- |1 t, M$ V
: W% n+ [/ {) i& f U$ e
if ticks mod 11 = 0
6 K4 Q8 b' n. z& {! q* B' ?! ? [ask turtles
" |4 g* d- u% E$ g% D [ redistribution ]]; ?; d: L& j* W+ ^& y' ?
if ticks mod 5 = 0. M) g% S" Q* h4 M5 q% R! R7 @
[ask turtles
( E* A( ]7 D4 j2 K% x4 ` [ visions ]]
9 N2 W3 j$ ?9 o' e9 r1 N3 S tick
2 q8 E3 O' i& B4 z update-plots% a, t8 E& x8 ~# W& [2 W) ^
end$ W4 m6 w* Y8 Z
to visions
: ]# G" D% [) ^1 _4 G5 } set vision vision + 1 " ]0 O0 B% u6 R' K
end
0 u8 G" E% b+ b$ V% B. \& f$ g4 s
3 q( p- K3 h- ^8 E; F/ v5 X) a; e5 E) i3 s" G
" M; l5 |+ s" ?0 C0 F; P. i- Dto turn-towards-grain # h' k& I. m0 j/ S2 c7 V& ~
set heading 0
# O, u+ R0 U$ q4 n8 o" q M; E let best-direction 0
& h# c' V' h2 k5 w; ?% F- ?3 q let best-amount grain-ahead- ^$ u; k8 p# r* ^5 j" u8 w
set heading 90
0 f" b' L6 ?% A; ]$ m* S9 R! G# O if (grain-ahead > best-amount)" c, ^1 `$ W z% ~, W
[ set best-direction 907 C+ N- V7 z7 l& l2 W
set best-amount grain-ahead ] a+ Z+ Q2 ?! B+ ?
set heading 1800 Q/ Z! l- Y# X* f5 Z
if (grain-ahead > best-amount)/ d5 R% O+ V9 b4 J$ V
[ set best-direction 180! D8 S1 h3 ]2 r4 f2 w- d
set best-amount grain-ahead ]$ W8 {$ A0 f9 e1 p
set heading 270
7 ?! Y5 R3 _5 b4 p1 W, q, F" B( } if (grain-ahead > best-amount), P4 v& O Y* k7 [
[ set best-direction 270
& `# w/ v6 V' V1 c set best-amount grain-ahead ]
7 l% S. @# M/ r7 n0 Y9 v" b set heading best-direction* L, D2 G# e) F! p
end
# r3 n$ R8 M5 f$ i3 o4 C0 N- \ h5 X, o( Z. S% \
2 [6 T0 _0 ^ P/ Cto-report grain-ahead
1 r7 Q+ J" [8 [$ Z y2 S let total 0
2 d0 T7 O. X( H ]5 ? let how-far 1
% m, y: t# i+ [$ g4 q3 I3 U' ^ repeat vision
0 j5 k+ e& H. }; e. F+ a9 g [ set total total + [grain-here] of patch-ahead how-far. m& B0 a# b$ w/ f2 C
set how-far how-far + 1 ]+ E; d6 `- Q( y
report total
& n+ L2 z$ x. T% L1 Zend
/ D5 Q) Y; u# o: h& n1 X
6 {& @$ |% {8 T9 Vto grow-grain
! j. c, R* k9 [8 r1 Y9 z9 R if (grain-here < max-grain-here)
! x: w+ ?# r9 ]6 f f& b5 g+ Q [ set grain-here grain-here + num-grain-grown" D; L+ k! |2 h, ~9 a
if (grain-here > max-grain-here)
3 H. o; D. o# Q s [ set grain-here max-grain-here ]
* [$ n$ ^% j* V/ m6 U- \ recolor-patch ]8 c- S; E3 F8 t7 B
end, @" x5 E/ {; h& O8 U* R
to harvest
Q: O3 V) @& O5 K& X2 Y% d ask turtles3 P+ w) g0 J5 d) A, ^
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]- h! Y" v3 E9 F* U2 N0 f( h
ask turtles
: j9 \ t6 V; | [ set grain-here 01 m b, Z8 ~9 ?' r$ V+ T( v, ?. F
recolor-patch ]
& c" I5 ]$ @6 a# A; ~8 d 7 k, N% U; d2 K) [ w9 ?. Y
end" W% ]& x* Y V# ~7 P
4 u0 k6 @7 `6 Q: R
to move-eat-age-die - q! q+ v/ r5 a% Y
fd 1 ^/ X( q8 g* m' d( f
set wealth (wealth - metabolism). C. D8 p9 J% v3 W0 N+ w/ N1 r; d
set age (age + 1)
; h8 ~) n7 a& ~$ I if (age >= life-expectancy)8 O+ q" e4 C2 a. g. C' s
[ set-initial-turtle-vars-age ]4 F; a! R: ?% X1 }7 w! V
if (wealth < 0)
& p& Y9 D1 `. B9 e [ set-initial-turtle-vars-wealth ]
! P- |. m- \, q% n, ~. u7 h
( m" r% Q7 N- H4 }: @( E0 j1 Kend9 F; h0 J9 ^) q- \
) \% K8 g7 M) }+ K1 t3 m
9 a" Y& }. k/ B) o- @to setup-plots. I, _9 Q; N& Z: `% Z6 w3 ?. U
set-current-plot "Class Plot"* p$ ^* k! P! B0 T+ I/ I+ i
set-plot-y-range 0 num-people& v$ h. F' k/ U
set-current-plot "Class Histogram"
; ~. b( B1 r5 O set-plot-y-range 0 num-people; M+ U5 k8 \2 F3 ?9 c8 x, S
end
# H4 Y' W+ U2 i/ o t/ b
9 {6 E0 u( t6 J( T/ U t: qto update-plots
& u" }+ K7 d- b( B$ ?- S update-class-plot2 F, E3 x( x2 u" w
update-class-histogram6 `4 R2 z& O& g0 _
update-lorenz-and-gini-plots
- Y& f. W% i% [ u6 _5 r% Oend _" }$ t8 R0 I7 O( E* `
! v7 o9 C( c* }9 Fto update-class-plot' e6 r5 |0 ?3 J# b9 F
set-current-plot "Class Plot"8 ~% P% V. e% B; C! `3 D- c
set-current-plot-pen "low"1 E/ G" e/ g9 C- Z# W& W
plot count turtles with [color = red]
) A7 }8 O. a' y! R7 Q: G set-current-plot-pen "mid"
% i+ d2 Z/ [9 E4 W plot count turtles with [color = yellow]0 L7 r/ F. P3 w3 P j6 ~" V+ i
set-current-plot-pen "up"5 Q; ~1 ]! _9 g- R& T5 T; ? B% |4 t
plot count turtles with [color = green], E& p* q. V+ j% ^' f. B6 @1 V
end7 \: m) s6 V2 `; u9 |+ A# S
- C" `7 Z' j) Ito update-class-histogram' r5 ^9 p2 _3 M1 u
set-current-plot "Class Histogram"
" S/ m/ \5 G; ~8 G3 x8 e9 r plot-pen-reset
1 Q) Z6 s0 \& E' D set-plot-pen-color red
: Q* c) @ u' x6 K6 @ plot count turtles with [color = red]: r0 D- h/ v& v5 e6 p6 n
set-plot-pen-color yellow, o' x7 [( X$ R% n% D* U
plot count turtles with [color = yellow]& P; V" ]/ ~; S0 ^1 G* b! R
set-plot-pen-color green) \' D5 f2 d( }8 W4 v8 r
plot count turtles with [color = green]
6 ?6 x. o6 G) [) Z# x; ~( Send, n" U0 {$ ]2 W' @
to update-lorenz-and-gini-plots
; Q- H& r5 o0 J+ o set-current-plot "Lorenz Curve", N" T2 N0 W+ c9 x. Q0 f9 B
clear-plot% E1 ] @- { u9 K
, [- B t( h* ~! v; Z# I set-current-plot-pen "equal"
8 Q3 f+ s; J" v, Z plot 0
* h6 m' O' C( K- g2 ? plot 100
3 m _5 K5 P7 G1 h+ Z" J4 v+ {7 M; T$ Z" s* c1 F: K& A
set-current-plot-pen "lorenz"
0 k5 z) r6 E. g8 @. G7 k" L set-plot-pen-interval 100 / num-people6 `, O% u. n# A. w& _
plot 0
: ~/ C9 ~4 d' r7 x
* H+ d+ I% p1 Q$ r- P# B let sorted-wealths sort [wealth] of turtles! r9 S* r3 _( k
let total-wealth sum sorted-wealths' k! d) a" o( y# D( j% g
let wealth-sum-so-far 0
. ^3 L# k0 m0 r& k3 N* F; d; Z let index 0; [+ ~9 P* B6 \% _5 h- g% x
let gini-index-reserve 0" ~3 @: I, E% U& [" E7 _
9 N, {1 L* y" g9 _, Z; G( H
repeat num-people [
6 ?- A" t' p* i v$ p; I$ A. m$ h set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)0 E9 O) l3 O- d( V8 ?) K$ Y1 I
plot (wealth-sum-so-far / total-wealth) * 100
, u0 N7 i8 Y, }( M% n- ]# r3 x set index (index + 1)
6 G, ~. C. T1 A4 v$ u set gini-index-reserve+ U0 \% B5 ]! @& p2 W# a4 h/ Z' v
gini-index-reserve +. |$ a% y/ o0 c
(index / num-people) -
/ z9 ^# E1 T# ~# [ (wealth-sum-so-far / total-wealth)8 [6 V! F# ?, c
]
9 X2 n z6 H7 X3 n0 m
( ?* d$ r0 [* d3 j! s set-current-plot "Gini-Index v. Time"/ e5 w9 [. n) ?! a- {. L/ J0 ]
plot (gini-index-reserve / num-people) / area-of-equality-triangle
4 h. a6 X3 l5 w% C0 v( B- Pend
" s+ I, R! j4 d5 U2 Ato-report area-of-equality-triangle
' f( i( R+ q" r* M J report (num-people * (num-people - 1) / 2) / (num-people ^ 2)$ S7 K3 g1 ?' \! F0 m
end |