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
# ?6 } x$ b& w$ s' Z# o3 Lglobals
3 u) g; q7 M% L& L3 O' |/ [[" a9 ~2 k3 p( ~6 ]% F
max-grain * k8 {. Z5 n# D# J9 i
+ Z$ P q5 A' T" u4 H/ `( u]
7 y: m( g* A: U2 x. s) z
$ l- n0 V9 I( U& H- o' Fpatches-own) N( E! x! M/ g: e
[4 l; ]1 ~& C# f9 d3 W
grain-here
7 s! a0 I0 X( B7 [3 K8 O. s max-grain-here
& m- @! q. x- E% G; I& V; K* c] e. X) S* ~( b w) u1 i% s3 m
: P# Y9 v( M. d: r) C5 L
turtles-own
: V* f1 ?; C! E, u4 m* g) P+ f[
; R/ `( f% b% \1 f8 x4 @& j age $ W+ v, n3 A. D- f0 p
wealth V6 ~! Q8 b% @5 ^6 p6 I' o' \
life-expectancy # b: f6 }6 T2 ^
metabolism 2 d \. x8 c6 T! o% I
vision
! m: o- }9 t/ } inherited 3 ~4 q; P/ ~* ]2 d) {/ d
]
# }# B# a q A7 n6 u, N: Q) }4 Z: E3 y7 z% }6 x" E2 ~. z: d
' ~/ V( h/ c8 S) Dto setup( o1 c; I$ [* ]0 J- v
ca/ T" ^; a5 B- W$ s# m
set max-grain 50
7 |# ~1 D: ?/ a3 u) q( I1 {8 m setup-patches' Q9 @/ g/ m/ {* W" v$ ?
setup-turtles
a5 ]3 I/ \; x setup-plots7 b$ \. m6 @+ _: E6 x/ K
update-plots
1 u/ l7 ~! |2 [& m8 Qend
+ F% [& G3 N6 U- oto setup-patches
1 r: x& r2 `3 P7 D" P. u; X; Y6 ? ask patches8 ~) @% B* U. K* z( ^, E
[ set max-grain-here 08 o1 e/ ~* N5 S8 u8 D
if (random-float 100.0) <= percent-best-land
- Q6 u" l8 G" D. X, V [ set max-grain-here max-grain
$ g& D( V) b- ^7 G4 v4 i3 l. S set grain-here max-grain-here ] ]; e: _& X' |- A: Z" V2 T9 ?
repeat 5
, M4 A# o3 ?: }% ~& l [ ask patches with [max-grain-here != 0]! I& _9 S5 O6 @3 @
[ set grain-here max-grain-here ]. U) }! `) M. [! l* w
diffuse grain-here 0.5 ]6 M1 ^: F) [0 }8 O( x$ T
repeat 10! M4 S, R' [$ Z; `
[ diffuse grain-here 0.5] % {+ x# c1 E8 p' G. H3 s q. D5 J
ask patches
4 J: `5 N) ^% e* i$ o& b3 Q& |, K [ set grain-here floor grain-here
# P8 l" {% o7 c- w) @% a$ c set max-grain-here grain-here 8 P) |) t/ E$ L) ~0 |# e
recolor-patch ]
2 w7 I- F7 ?: A' O' _/ Dend
4 P- F4 ^* `2 C4 P* ?% ]" \to recolor-patch $ w& b% e9 M* s }: y+ @0 ]
set pcolor scale-color sky grain-here 0 max-grain
9 s% y) ]$ K( r! }$ p2 J! r6 Mend3 D5 [" d9 }1 T! l$ H. v# s3 O1 f
to setup-turtles0 Z. y$ M/ p' m, v5 }. ~
set-default-shape turtles "person"
' a& J7 S: a$ L" B; H- i crt num-people/ O6 }# F/ v* h% E5 ?
[ move-to one-of patches
0 a- s1 ?$ g8 q set size 1.5
: N5 z1 ^. X: X6 ?& e set-initial-turtle-vars-age) X" w* k2 a9 H5 D9 x
set-initial-turtle-vars-wealth
2 M) V; @4 s5 {) a9 b1 }/ b set age random life-expectancy ]
* B* N/ \- R7 M' ~ i. g recolor-turtles/ I/ S/ B2 r' y7 a" [
end9 w: J, `4 z3 M" l2 s+ h3 r( Y
3 J5 B( o3 u- D# M h- C& S: v# X2 {
to set-initial-turtle-vars-age
% R0 I9 q7 N' {; N let max-wealth max [wealth] of turtles
9 x3 c- O3 V6 O [
8 l. @1 Z- x1 i( T# c- `! k4 l ifelse (wealth <= max-wealth / 3)2 x6 g$ [; Q3 x$ k7 d7 z
[ set color red
( m+ x6 g9 J, N8 h4 Q9 s# F+ ~* J set age 0# f8 [9 r6 z z1 f
face one-of neighbors4
; m) E8 |! h" d+ s5 q3 b7 ?! c* Y set life-expectancy life-expectancy-min +
* A% Q7 _4 P. [" a( {' r8 r! M random life-expectancy-max 2 h; w, D5 w& e0 J0 D P' c
set metabolism random 1 + metabolism-low, P9 n# C2 i4 y" N* z
set wealth metabolism + random 30; ]7 U/ D3 \, S' V! U' n
set vision 1 + random max-vision+ V7 J S) s/ V" F
set wealth wealth + Wealth-inherited-low ]
h8 }: W3 N( M8 I7 r! x1 I [ ifelse (wealth <= (max-wealth * 2 / 3))' y. Z9 g# A" _: ?
[ set color yellow
% ] s6 x3 x0 |8 _* T( d- U } set age 0/ k6 {1 q- U6 d* Q
face one-of neighbors4
1 _- e: M! o# F set life-expectancy life-expectancy-min +& b9 e) {+ a6 V- k5 x$ Z; ^
random life-expectancy-max + 13 Q* z/ j) d# y v& }( f2 ]& q
set metabolism 1 + random metabolism-mid
8 i8 A% E' N4 K1 m7 D9 G* h set wealth metabolism + random 30
* a# u4 h: d$ y2 m5 t4 s( G set vision 3 + random max-vision
- j- F9 N: F$ q6 u set wealth wealth + Wealth-inherited-mid]- ~' k. u) D: U( J, P) v2 C u
[ set color green
* F+ D V% |; v6 M: i4 Q/ Z9 H set age 0
" ^# U& t+ L& K+ ?9 \# R face one-of neighbors4 6 u8 f' [- E! t/ G( h
set life-expectancy life-expectancy-min +$ x- S9 S( d9 v+ V d4 B+ B1 O B( c
random life-expectancy-max + 23 t" A) X& M, N/ f6 v0 ]. n
set metabolism 2 + random metabolism-up$ x8 f1 O) r1 d' q
set wealth metabolism + random 303 {; `7 b' S$ a
set vision 3 + random max-vision
1 |: Z, E. H$ r3 _* Q3 y set wealth wealth + Wealth-inherited-up ] ] 0 I) F4 x$ s: e& _
- w! l/ J T7 ]$ r3 L5 E" Wend
: Q: N4 m4 x3 `/ I1 W% f: yto set-initial-turtle-vars-wealth7 _( e9 l1 ^5 A4 T r7 Y' s
let max-wealth max [wealth] of turtles
4 ]- T0 C3 f0 r7 t set age 0( i& a5 U3 G$ f; I! s" f
face one-of neighbors4
* s" _. A4 T* l& s8 \! ]/ U set life-expectancy life-expectancy-min +
' W, a, s3 l# T& C5 ^* p random life-expectancy-max
0 R& ^! `' E; j/ D$ a5 F set metabolism 1 + random metabolism-up/ X$ ?3 h' A1 Q) S9 d
set wealth metabolism + random 30 Q6 }: G6 w) S, w" v6 E
set vision 1 + random max-vision 0 p |; \, A( W- ~, ~
end
, e% U4 I) s( i3 J/ E- gto redistribution
+ r$ t x+ J, ~2 A: Vlet max-wealth max [wealth] of turtles
/ W# W) X! [" f. \! Z! i6 tlet min-wealth min [wealth] of turtles
/ t8 b. K1 p0 s! |6 @% Nif (wealth <= max-wealth / 3)* U m; b6 l B+ x& P
[set wealth wealth + Low-income-protection ]
. K- T& |5 J) H+ D) Y4 mend3 C1 j/ v/ T; h. \* s
# D1 ?: y9 O" R- _3 S& P
to recolor-turtles# e; q2 s# y* ^, a" u3 D+ q( h
let max-wealth max [wealth] of turtles
3 }- P; N- f+ `' L2 N* a/ Q# J e ask turtles# G" e; z% E+ W# Q7 T- q1 [
[ ifelse (wealth <= max-wealth / 3)
& L7 ?# i8 v# r4 _3 T [ set color red ]
% o) j5 i6 B! J+ w [ ifelse (wealth <= (max-wealth * 2 / 3))
8 M3 y/ n. A5 d- |3 t* ] [ set color yellow ]
3 S: G4 g" y+ P5 V# ~9 _ [ set color green ] ] ]
% B F5 M- S4 ]; j8 Y/ G9 h0 J ask turtles [ifelse show-wealth?: ~0 _# w9 V; H, B2 K0 ^5 x
[ set label wealth ]7 H( u! H, c2 l
[ set label "" ]]! ?$ @$ b- c& W* O' _+ g6 f
end# @3 B# B: J( p! X$ m* ?
2 l; R! r1 N1 G7 D6 ]- @5 gto go! R: F9 ~4 q2 {( Y
ask turtles
: W H1 B% ?5 r7 X' q1 \* ~6 W [ turn-towards-grain ]
- R6 o' x3 h3 B& j2 v; \7 m% i harvest" c( e6 e) ^: F1 B, [: o, o1 g; j! i
ask turtles3 `1 R7 h) _# g: l4 R9 Y( ]+ a- ]
[ move-eat-age-die ]% |7 a9 y- `- H
recolor-turtles
% c7 `8 R/ V+ \1 K9 A! w- j* M if ticks mod grain-growth-interval = 01 K+ s) \. S3 k. t% G; n
[ ask patches [ grow-grain ] ]
/ V2 C$ L+ d9 t+ K
$ @ Q6 j" K! H/ t" n9 o6 s2 [ if ticks mod 11 = 0
5 a& a# a E& \2 C( a [ask turtles6 C9 K0 M3 j' C1 C+ _5 ^
[ redistribution ]]+ v) H6 `0 R& n) l8 I, B) r) o3 l
if ticks mod 5 = 00 g R+ S) ~( }' y5 B9 O( H# w
[ask turtles8 k* e3 B7 X R
[ visions ]]. _3 x; m8 }, y4 Q: G
tick
! d0 r$ x3 s5 m7 q update-plots1 ]+ a! q) K& X- N: o
end' D1 I/ Z; z/ g; o" v% w* ^
to visions' ]+ l* e' a/ K, B$ C
set vision vision + 1
1 j0 ?, p. O* c( V8 lend
' q: ?, W" v9 G J0 R v
( S% Q7 l, Q' R8 ` y! E" F+ o+ s; `4 n4 t
3 }: ~ Q, }# ~# N( s3 t; c8 Cto turn-towards-grain
: A- T2 a1 l/ f! e: D set heading 0
; F9 T) p" W/ X C0 h! C% o8 ^ n. | let best-direction 0
! t* u8 |& i8 f6 x8 _5 O* P let best-amount grain-ahead
7 ^9 W5 d* G) q9 i; m" |9 d set heading 90
) r, x! E7 I9 u' c if (grain-ahead > best-amount)
; r9 Q: R3 t" Q" |# R; o: k2 ?1 ~ [ set best-direction 90
3 |' p! J9 v/ q1 |4 |6 O- l set best-amount grain-ahead ]
# h8 N8 }9 t7 R w3 ?" `) ~; Q set heading 180, [* ^5 y' d( P* D
if (grain-ahead > best-amount)6 r- {: |& d9 \+ y
[ set best-direction 180! w+ X% S- [. L: M
set best-amount grain-ahead ], O: W# q9 `3 d: ]7 Y2 o9 _% F& {' B
set heading 270$ u) Y4 u6 s! n/ V6 j
if (grain-ahead > best-amount)" _' P. Z/ W/ F+ K& i
[ set best-direction 270
% L% {9 j2 P+ U, z/ b set best-amount grain-ahead ]
/ d+ t8 ]: w; d D$ T set heading best-direction0 b: `7 T9 ~5 {% F7 Z! s0 r8 _" l$ R, ]
end
4 z0 n% U: r+ Z+ ^
& g1 l/ M$ N" f$ `' g8 ^& |
4 k1 b3 A8 n& H- j9 e! t# eto-report grain-ahead 0 X0 Q& Q; v& X6 I. F
let total 0# B/ [: i- u9 q; B: p
let how-far 15 ]" o7 l6 [0 n$ f
repeat vision
# e: j5 v2 O* [" Y [ set total total + [grain-here] of patch-ahead how-far- o: s$ p( ` G D
set how-far how-far + 1 ]( R! `6 Q9 R2 g+ y x' M: }# a
report total+ n) l# f+ f( D" b( k* r5 \
end9 q3 w s2 k3 F) M: {+ f& z
8 z2 g0 c: c! mto grow-grain 6 A! F! M+ d# F* x$ b. W5 s
if (grain-here < max-grain-here)7 `& K& X3 W3 m& l4 K! ]5 C, q
[ set grain-here grain-here + num-grain-grown
% ?5 V* r' P+ a o+ h, W1 h0 l j3 i if (grain-here > max-grain-here)
. S; U# p2 Y+ B8 \2 M/ e9 D$ @' Q9 y [ set grain-here max-grain-here ]0 P1 J) ^/ o1 G9 h! O! w. i3 u
recolor-patch ]
6 U! s+ O4 ?3 w" u& ^/ v& n4 Gend7 l9 W- O: `7 O6 S, Y0 |
to harvest
; M2 M3 o0 V" z ask turtles& J# c# W& Z Q
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]+ C; E; e1 W0 x# U$ d* ~
ask turtles6 T5 b# J% h/ {4 z
[ set grain-here 0
. _4 B, h9 h( H g* p recolor-patch ]
+ y+ p$ R: a6 ^! L
" ?: n |2 K8 V A+ s1 V1 ~( _end
$ {: T7 _- S6 F3 S0 a- f/ e1 x$ M$ k6 D: j$ M+ v
to move-eat-age-die
* |, Q+ f: N, k* N8 T) X8 h+ x1 Y5 V( Q fd 1
8 g+ N, u/ W% y/ k& ]7 M/ B set wealth (wealth - metabolism)
( n. v7 c% w! i1 s set age (age + 1)
1 G0 L9 \6 Z' i( _& R if (age >= life-expectancy)5 ]2 M. U8 j0 f3 r, i; t- |7 y9 g
[ set-initial-turtle-vars-age ]: N1 D. I ?9 E* a+ D
if (wealth < 0)* g* U) p* H# L( Y
[ set-initial-turtle-vars-wealth ]
9 B3 d, O$ I3 H0 w 1 Y' Y& M# a% m
end
]1 @3 S5 I- ~; s! n& ]+ O
: e. d9 b1 N+ C$ q: ~0 p/ T) V3 N4 c/ @( e
to setup-plots
+ ]& E! x7 q1 r: R6 q: {% t9 u set-current-plot "Class Plot"
. w% e( j- B* r, P& l6 X set-plot-y-range 0 num-people
; ]; |& |( \: E+ |! R$ ~ set-current-plot "Class Histogram", @( R2 |- s" g `7 F5 s
set-plot-y-range 0 num-people+ f8 Z5 E7 o! s/ O
end
$ {$ S9 z8 {( d7 R* o+ g- ]5 l3 c% H- a% T
to update-plots0 |0 K0 T' R6 f4 z
update-class-plot) G8 d) ~7 W' m" d1 ^1 X: c+ R
update-class-histogram
+ V, ^- K0 R: }" Z* E* F update-lorenz-and-gini-plots# L5 b( a/ Y# G9 U6 T
end4 _0 F, }2 }, u- t
% y' P4 F. n, n2 w, xto update-class-plot
0 m$ W4 n2 d" @2 O set-current-plot "Class Plot"
& b* z& Y$ C* a6 } set-current-plot-pen "low"9 r9 b2 S, F, R# `# H4 ?3 W
plot count turtles with [color = red]
( P! l, F$ c- G, R. d set-current-plot-pen "mid" t. p2 O: Z+ J$ _, `
plot count turtles with [color = yellow]
+ h# j; s6 P8 q set-current-plot-pen "up"
) }) v3 p( u$ v# Y. Z9 S plot count turtles with [color = green]
, o! P) G: o! C( `* cend
1 R8 Y" Z) {! T ^4 m1 w$ n& ]" c
/ A( T' K: \. r4 pto update-class-histogram3 J/ g) l7 ]. e( c9 O2 A
set-current-plot "Class Histogram"# V2 e, m5 A- x3 H7 s
plot-pen-reset7 E& y' u. C/ [: I3 x
set-plot-pen-color red
/ u; a) x) h; W plot count turtles with [color = red]
# k+ v* d( {6 l- f5 X set-plot-pen-color yellow, d# |8 \$ V6 u& g0 U6 k
plot count turtles with [color = yellow]
* j. m' s5 O$ c set-plot-pen-color green A: X' {9 [8 b0 Q) z+ n$ ?4 e1 s
plot count turtles with [color = green]! G4 d. I# ~, @6 [7 U$ A% g
end* o B, Q) {% Z5 a9 q2 M3 N& p( o
to update-lorenz-and-gini-plots
! ~+ v. n- h7 R- z! s set-current-plot "Lorenz Curve"4 I+ C2 U5 ]8 a3 k# f( t: @1 {
clear-plot$ o5 V" P8 G9 D; v6 [ T4 n
4 ~/ i8 J5 j9 x7 l9 G+ l set-current-plot-pen "equal"
, ^6 I. l, Q7 G plot 0
0 j0 O* u8 o- S9 O I plot 100/ K% I# z! o1 F! s! q
- F0 [- R6 {9 I; y3 \ set-current-plot-pen "lorenz"
! v9 o5 ~; a) `; ?7 d set-plot-pen-interval 100 / num-people
8 P! |3 j- }* f4 o1 [+ | plot 0
5 x7 Y( y+ O1 `! V! }+ T3 J0 Q+ M d% D7 _
let sorted-wealths sort [wealth] of turtles- [5 K& h8 T# Q7 b
let total-wealth sum sorted-wealths A3 O! S$ i( v7 d
let wealth-sum-so-far 0
7 c' J3 l8 }5 v* I/ s" r9 x$ s& o let index 0& I9 p8 I* S+ L
let gini-index-reserve 0
* ^# R9 e' ?3 o. q: O* H0 ~3 }6 y- U
1 N7 j7 C* ~( p8 y( Y9 l( u repeat num-people [
2 p/ t- w d$ q0 M3 K+ w- C. L set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
: E- q1 s0 m$ _# m; ] plot (wealth-sum-so-far / total-wealth) * 1002 s3 G4 ^# c) i( C9 B
set index (index + 1)
4 w1 F6 _5 @) W9 C6 A0 t set gini-index-reserve- @( C/ o; ?7 h5 ~) ]% L/ ]
gini-index-reserve +
# m7 K B- s5 } (index / num-people) -: F' j4 U8 y7 }" \. s5 U7 ?5 X
(wealth-sum-so-far / total-wealth)
+ u7 W; R9 Q- F) G- n& e ]# Z+ c) s1 j9 R; D7 h- }
+ ?; I+ R3 k# H! ~ set-current-plot "Gini-Index v. Time", o( `8 L1 ]) p! i1 D$ ~2 \# [
plot (gini-index-reserve / num-people) / area-of-equality-triangle
8 ?. Y* L& a% S" Iend3 }, O j3 `! J8 A+ M# v% e
to-report area-of-equality-triangle% f' t" I5 j/ H3 Z
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)0 X/ U+ I2 f; x
end |