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( }8 q1 Z, A3 ~2 o( y) c1 l
globals* G6 \' J% u% f; F/ ]8 B1 F$ j* `* \
[
/ ~- M& ], c6 I2 S max-grain
8 e8 |7 m' \; H7 F
9 ~7 ]4 o7 V- }/ V1 `]
: \ t. \8 { C) C! M. g" S4 h" y) c" x6 a$ L
patches-own9 \% R, C7 d! p3 Z6 n2 B
[* R% h9 B9 {) g! X) R- U! _
grain-here
. a- v" y, f8 ]2 w max-grain-here * s5 u8 p6 _( q8 r, M8 O, M
]2 p8 X! w' M4 b+ |3 P; K
6 k. a" G) ?, E7 B9 X$ b$ Y) j
turtles-own
' j% X* E5 B( ~3 T# W" k( d[- c( V% H# O: d, ?
age
8 h+ }$ |4 J" H* | wealth 9 c% J M# N4 y6 [+ J, J
life-expectancy
$ ~% B; p: C8 F9 R% f* J! f7 e metabolism
! H& _4 t/ {+ A/ b& |. U vision
. R) U3 r$ U8 m( {1 b7 w1 Z inherited 3 X3 o' d K! h+ E f0 N6 A
]
2 ]- t9 k0 }0 }$ C1 h2 W' u3 C ]: l: V3 y) S9 V
2 i& T. T* S1 X0 {8 {6 oto setup- T5 Y I! e& T9 t
ca1 L# E" J; X. v3 c4 [1 r
set max-grain 500 K) O G; _$ b) A! |" ~0 T* Y0 c
setup-patches
. G' N' I( U g setup-turtles* V, K: B* [& F8 b
setup-plots. L/ Y( m% [1 S# n
update-plots
! Y+ S6 B. U: K# @5 Y9 D. C) H, P3 r, Fend
/ i- q w, z. J5 Q# D: O: E6 E- lto setup-patches- p$ l! k* P$ J5 r) O
ask patches$ H) G4 z1 k2 I. D1 n+ [- @6 |
[ set max-grain-here 0
7 c* i- v* v% E( g" H) ~) @+ h if (random-float 100.0) <= percent-best-land7 w% M( r; ~8 ^6 Z2 F7 u- H0 a+ m
[ set max-grain-here max-grain8 |" n& V5 ~3 @9 |0 y7 {5 X; i6 _! c
set grain-here max-grain-here ] ]* w% Y+ }; z; C1 x( D9 q& w Z, Y8 ^
repeat 5
/ b" C3 H0 ]/ J9 @# a2 t [ ask patches with [max-grain-here != 0]
! P4 A3 A5 m( s# x [ set grain-here max-grain-here ]3 n% F8 M0 @- w0 R1 Q. E
diffuse grain-here 0.5 ]- ]0 ]; |- [5 D- ]& {. C& W) p: F
repeat 108 v# ]3 D9 |% S g& g! D! k! o
[ diffuse grain-here 0.5]
/ B8 H! B% ?2 o0 s7 @ ask patches
4 Y4 g% S' g6 s3 T1 O [ set grain-here floor grain-here
; U3 g8 |2 s) G1 N* ` C$ K set max-grain-here grain-here ! g" w {- P; n
recolor-patch ]4 Q/ R2 |6 C$ _: C& I
end
( B* S* Q4 ]2 L9 B/ mto recolor-patch " d8 w y/ q! s
set pcolor scale-color sky grain-here 0 max-grain" |# ?: b: k3 _0 x' ^
end
6 s% f+ {2 t" r- F! k! M7 j, }to setup-turtles; g0 f2 I- o0 Y! Q- E
set-default-shape turtles "person"
$ p8 w' k' P1 }) z3 N0 M crt num-people" Y- x3 Y k4 S) s
[ move-to one-of patches - U% ~% |5 Y4 L9 V3 a
set size 1.5 , P% q; {" t# x( P
set-initial-turtle-vars-age p8 O4 X5 H8 b& j5 _! t8 V
set-initial-turtle-vars-wealth
" g4 M" k* a4 C1 X set age random life-expectancy ]- l+ `& ~. v5 J- T) j% Y
recolor-turtles
( N T* h: s* lend
0 B; j5 P, q) f' U. @5 D* J7 F0 p6 D$ v) b9 l+ E D
to set-initial-turtle-vars-age; G& ]( O6 Z) S. l5 k! L
let max-wealth max [wealth] of turtles! c0 J$ t0 g: v5 P& l' ?) c; P5 b% X
3 M1 t, t+ A6 N- F% R( V ifelse (wealth <= max-wealth / 3)" i$ O; X/ q. F- P3 D1 r4 l
[ set color red / J: X8 [/ h) W% Q# ?0 T- k; o
set age 08 V. H# O7 T$ i! x0 S: j
face one-of neighbors4 + R" N" z0 ~& K3 q) s0 n) k3 n
set life-expectancy life-expectancy-min +7 c, P* _& _# `
random life-expectancy-max
- n- y/ u( j/ k5 A2 z set metabolism random 1 + metabolism-low* _- m n# X% t- ?' {
set wealth metabolism + random 30$ C5 d" N, f% s2 D& z+ J
set vision 1 + random max-vision- I: t1 L) ], l U4 `" F
set wealth wealth + Wealth-inherited-low ]6 h# J; w8 K0 X/ q+ T
[ ifelse (wealth <= (max-wealth * 2 / 3))7 g# p5 N0 ~' B5 R6 l7 ]; Y q* l4 Z) `+ J
[ set color yellow
, k% z3 o7 o, k* s set age 0
- |1 r8 j. S8 i* O face one-of neighbors4 3 M2 K0 J& C* [1 L$ {1 P
set life-expectancy life-expectancy-min +: N- y. J; M, m' V ^
random life-expectancy-max + 1
% |* [" H. v" H set metabolism 1 + random metabolism-mid
( L/ q7 J E" V set wealth metabolism + random 30% k8 b) O7 ?# w5 D
set vision 3 + random max-vision
2 B: m# Y4 {, r3 f; g/ L* _- c set wealth wealth + Wealth-inherited-mid]
3 L, ^: d, W8 h9 r* q/ p [ set color green
w5 H$ w$ Q# W2 m( \- |6 a set age 0
4 U0 p9 O6 J2 s6 i face one-of neighbors4
4 Q4 K3 V- s; A7 t; I8 m8 X set life-expectancy life-expectancy-min +3 x* s$ [. l" E- p6 ^" i
random life-expectancy-max + 2
. J2 p' x. K$ x' ^% ^9 I' @ set metabolism 2 + random metabolism-up
& e( ?* C& ~: A4 ?- j set wealth metabolism + random 30
) {* |( Y- B8 h }" }8 Q set vision 3 + random max-vision
6 q5 u# v# h0 M" x set wealth wealth + Wealth-inherited-up ] ] . |( A' _7 h |! [7 R0 b! v
$ i, ~3 }" S p0 y: bend
. Y$ i; p( |- x- O' S5 ?7 C1 q/ }8 Ato set-initial-turtle-vars-wealth
" X& |. O# u1 P let max-wealth max [wealth] of turtles. O; H' z2 F0 V" G6 a
set age 06 h$ B) M, w3 K/ V
face one-of neighbors4 3 l8 o# e1 C2 Y1 J4 ^) l
set life-expectancy life-expectancy-min +
' |- G1 I; J* Q' t* L random life-expectancy-max 9 r; u- U' F1 i- h8 X9 |
set metabolism 1 + random metabolism-up
; {1 {/ {) [) }& y1 U9 O) t set wealth metabolism + random 30
+ W6 ~/ l: x: H5 o9 Q set vision 1 + random max-vision
7 @4 A4 b* b$ D- m7 zend" Q L" t8 w3 p5 A4 s6 E3 j) t$ p( z
to redistribution
* y% q+ k, T7 x0 _2 E$ N) }* plet max-wealth max [wealth] of turtles
8 {3 |: a8 ~& _, |- b" v& v; v( alet min-wealth min [wealth] of turtles* C- J0 C `0 q
if (wealth <= max-wealth / 3)3 N; o) @4 h: ~6 K
[set wealth wealth + Low-income-protection ]
) Y7 x1 ~# O0 N/ Y+ w1 s4 [: Vend5 _- m/ j7 E( v' T4 c. N& y
4 D; h( h+ L, u7 X9 W+ Z0 I) R
to recolor-turtles
1 m( E8 I7 v* z7 r& z2 D let max-wealth max [wealth] of turtles% x* w7 d, r* l( d4 r! a& j% \3 B& D
ask turtles
) ]7 u$ _; R1 ]. ^% K+ ?' ~ [ ifelse (wealth <= max-wealth / 3)
# A+ o7 l: u; |4 Y [ set color red ]
: W9 ]9 }, [. I6 ^, E [ ifelse (wealth <= (max-wealth * 2 / 3))
8 y0 _3 j: b+ T; @- f [ set color yellow ]0 ]% F! K, e- a8 x: B/ O& _
[ set color green ] ] ]
% h P! l4 k3 b4 e4 g4 } ask turtles [ifelse show-wealth?2 C" o6 E8 }% Y4 @: M1 R* U
[ set label wealth ]+ t( K1 v$ h; U1 Q
[ set label "" ]]7 ~2 U) P3 G* H; l) _# }: ]
end9 J. `. s% U' f2 K! ^; E) n6 B4 o
7 c2 y. v t% {& W' J0 P4 q1 ]to go
n# ~, I9 h2 C% `; X c ask turtles E) @/ p6 k) o5 r
[ turn-towards-grain ] 2 f3 b! q2 c X( n+ a
harvest8 O/ M9 ^& K6 T4 B! a
ask turtles& @+ w8 c: w4 _" h) |
[ move-eat-age-die ]4 H! I3 a, i, t0 y4 s& N
recolor-turtles
X1 P: B4 S9 p' ~* T( c if ticks mod grain-growth-interval = 0
4 X/ d5 W) [) Y1 t+ H3 u% @ [ ask patches [ grow-grain ] ]* W& |$ o$ s2 I+ U8 g8 K: H
# o' z0 l0 a8 z, N" I7 w
if ticks mod 11 = 0
$ r1 i- H" u, O& y0 z [ask turtles& j1 P8 |( |4 D& |) ~. t' ]
[ redistribution ]]: U, Y, n+ N/ R: H& K4 H# P
if ticks mod 5 = 0
% h- W3 Z& y, I k [ask turtles" e! k- e4 U; C7 @& r2 z6 p
[ visions ]]7 |/ S0 k" J: L# J
tick2 z* q/ U1 K, Y; a* W5 o
update-plots
+ q& [) c* }- cend$ p8 N' i; X1 Q! ~) d' ^
to visions
$ Y" ^1 |( I; B set vision vision + 1
h! Q! r. m7 B! @end
. v7 p! A. w7 {& s. a! T" {3 y; t5 g# x* K1 v& A1 {
/ r0 ?6 r+ I$ x0 l1 l _4 q. C5 F
, H8 O' A3 x' s3 Eto turn-towards-grain
1 i" I! h, F9 P1 `/ T0 T- L set heading 0! ~$ f: \+ }8 k' I9 X
let best-direction 01 W9 u# }- J { s! `
let best-amount grain-ahead& h/ `1 S- c- [6 Z e( r2 \" @
set heading 90
- K# W) d. E$ U2 @. F/ O3 |. q- C if (grain-ahead > best-amount)$ a* K6 o* o% a m Z! S0 `
[ set best-direction 903 [- R6 ^$ T0 L: {' t
set best-amount grain-ahead ]
7 q( }. w. e( R0 V7 j9 e: o set heading 180$ z; e; q9 A6 j5 v7 M( i# z5 d
if (grain-ahead > best-amount)1 Z5 U7 N# J5 G, k" V; a" p
[ set best-direction 180# x+ ~3 S! n) Y9 T0 p/ e, o+ c
set best-amount grain-ahead ]
/ x, L9 y+ F$ l' o& ` set heading 270
2 K0 {" ?; a- X. k! F if (grain-ahead > best-amount)! J+ y- h; {8 k- J; a' I
[ set best-direction 2706 M* e+ d4 W; j) H0 |8 D
set best-amount grain-ahead ]
/ n. K9 J6 g% N. M7 {; T4 {3 O set heading best-direction1 L6 [/ r/ t: T3 U
end
. H, q! R2 o5 k3 o4 G3 m$ y! F/ g/ a5 J$ Q
4 p9 Y) }1 Z2 M- ~& x6 ~to-report grain-ahead
8 L2 b) Z0 L' p7 v let total 0
1 c1 {6 C* \( t$ j8 y Z let how-far 1+ a' r( M% o: a$ [& u2 v
repeat vision( I' S5 B/ \) Q1 |2 T8 Q
[ set total total + [grain-here] of patch-ahead how-far
' ` C, S( v0 B/ Z set how-far how-far + 1 ]
6 ^7 U# `# l8 H& W report total& q6 K! W- d& {+ p
end; D8 \7 Y/ F7 U- N. y& ~
4 W2 R a# o" \4 Z& z3 Y9 v7 O6 Lto grow-grain * s+ |2 Y7 t% ~3 s
if (grain-here < max-grain-here)' d* m6 \& _' _, J% _
[ set grain-here grain-here + num-grain-grown
( |1 W) |- C4 V8 N- ]5 w if (grain-here > max-grain-here) ; G* k$ p" T) ?* d8 y
[ set grain-here max-grain-here ]1 r# y5 x% E: |& e# E6 u& G* `
recolor-patch ]
' E% d1 O. O3 n+ Uend! c' P1 n F3 i T
to harvest
3 P4 ?% O/ K# q; U% a5 p( {$ A; W. ~5 l; T ask turtles8 O5 s& S1 a- T" v! H
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
p' k; i5 F8 ~6 [) P ask turtles
* L1 v: V5 ~6 I' @3 f& W [ set grain-here 0
e* w1 ]9 j9 G7 @- k* z2 G7 l; [ recolor-patch ]7 v' @ K, H$ Y4 o8 K/ m% l
# E! g h" s9 U' r; n7 a2 F H. N: N$ Jend! Y& g# z, \) z- f+ `7 G i
; t7 u4 T- r' t- Z; j: ]to move-eat-age-die : y+ `/ P) G0 X7 q8 {
fd 1
: n0 g; g1 i: e# L+ w set wealth (wealth - metabolism)! a9 w' |* C" k( E; N" M# u
set age (age + 1)
3 a9 y! e; ~1 `# A+ |9 @) \1 V3 }# b if (age >= life-expectancy)
" f2 K) [" m, b' V8 U' P$ g! ^7 U [ set-initial-turtle-vars-age ]
* k9 o7 f7 w. L if (wealth < 0)
1 x% g. n" S3 \ y3 n/ F t' B n [ set-initial-turtle-vars-wealth ]
6 R. ]/ b" {1 l / F6 D% a+ Z; j
end2 y$ I1 \9 z: R
5 l' v/ l2 i) ~( R. F" P5 i
7 @9 d: B3 v- h6 K. Pto setup-plots
+ p7 n! p* U9 z1 f set-current-plot "Class Plot"; h! Q$ d' C! m
set-plot-y-range 0 num-people
; r! f. y/ [+ b: M5 i/ d/ i3 W set-current-plot "Class Histogram"
+ d' P8 e9 k0 K set-plot-y-range 0 num-people
/ j8 \) n+ j* m$ E) s6 n- w- Y% Iend
& [! K3 z! b. n+ Q( {1 \- M0 x9 C2 M" j" S5 e: g
to update-plots
: @' p/ _, f) {/ X) m update-class-plot$ R* s7 b" v* p
update-class-histogram' x% s7 c8 r" ^, @& x1 j" e% i
update-lorenz-and-gini-plots" W7 R( F1 A- @4 R! m, c% n
end3 [: h/ @% J: k$ o2 G W9 ?" \ q9 [
+ |! y. c, T2 V1 A% fto update-class-plot* c8 V# v% a* B8 Z2 n8 Z! H
set-current-plot "Class Plot". r6 z# H2 c/ u7 w
set-current-plot-pen "low"' Q. z4 D. j( [& e; t6 V
plot count turtles with [color = red]
) R' o5 M+ @ O' \ set-current-plot-pen "mid"
2 L) H& O! [/ n; A- W plot count turtles with [color = yellow]
~2 s- Z2 Y# p, F4 T1 b! L* J% N set-current-plot-pen "up"
1 f% Y9 b. c& z& u7 V% E7 a plot count turtles with [color = green]: Q3 y: v* S* P- o
end
/ Q5 D9 I) R( e) g# Z3 G6 Z e8 `8 u3 u: |8 U6 G$ l: ` R) F/ G
to update-class-histogram8 F1 n; d% B+ p. U6 {
set-current-plot "Class Histogram"
* ]$ b' p; P, n) { plot-pen-reset5 ~5 I$ B) x- A$ d; P% _4 Z1 G/ \
set-plot-pen-color red8 b, R0 A+ {5 K; S' M
plot count turtles with [color = red]! l) p* l) C" ?$ e3 f# [' B; T- s: ]
set-plot-pen-color yellow- ^" x) B( f- f3 v* ?8 B
plot count turtles with [color = yellow]2 n3 K/ i; M9 s, r/ V
set-plot-pen-color green
& D, S" T$ H% ^ plot count turtles with [color = green]
- t. x1 |. ]' d* z* a4 Eend
9 Z4 s" b. ^& f' R+ a4 Rto update-lorenz-and-gini-plots1 q6 r" r! n2 t
set-current-plot "Lorenz Curve"
( \2 E9 u$ i) E. O5 x9 V, b clear-plot
1 X {& u8 q; @) l2 F$ @/ Z4 k. R1 F5 o4 {& ~8 `* b- M+ m
set-current-plot-pen "equal"
3 f! g3 V Q9 B8 }! ` plot 0
. \- S4 E1 l( g4 _/ P$ g* @. V( M plot 100( ^* i& n, x& s" e) ] C$ n
' P! a% ~1 R& U, S, |$ `9 |* y
set-current-plot-pen "lorenz"
: t6 r" k5 l- I set-plot-pen-interval 100 / num-people
# }9 `4 U& [' s' y& R plot 0
- \" h2 l1 h0 x) ^
6 B7 c) Q& z% N! D5 U let sorted-wealths sort [wealth] of turtles& I U, c4 c e
let total-wealth sum sorted-wealths- I3 o5 I: H C7 k$ e0 o b5 K
let wealth-sum-so-far 0 R( B2 s, s: w! v4 B/ x y! ^
let index 08 t4 z1 ^, J8 s! P- i2 g
let gini-index-reserve 0* q' @- ~1 T! ^6 P0 {
' |2 W6 K6 P% o7 C" Q% ~( n! J, Q
repeat num-people [- H% U! Y: a1 p) t/ b5 y
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
7 {6 j! J2 L4 B' C" M; U$ S plot (wealth-sum-so-far / total-wealth) * 100
6 i! R. F% W* Y/ n2 l set index (index + 1)
9 q1 a1 Y" p: u" c set gini-index-reserve
3 z4 q1 O( d o: n4 f5 W; g' Q gini-index-reserve +1 `. J. P9 t! J' x4 N# ], a+ k
(index / num-people) -
& H% u: j A4 i8 V) I: h (wealth-sum-so-far / total-wealth)2 ~7 U& G; j9 {, m8 e' T
]
# G, \+ d `: O4 M/ s9 ? m3 Y- Q' ^9 [
set-current-plot "Gini-Index v. Time"
& t: j& {( S# ` plot (gini-index-reserve / num-people) / area-of-equality-triangle
5 H- K/ O; l' H! Xend
. V% [/ l% M. P% Y* ~to-report area-of-equality-triangle: l: Q Y9 g1 E: A
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
3 J( t% s" I$ z9 M0 Hend |