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4 Y5 }! i" w; O) z G
globals7 s+ N' }+ x# a, T3 d: x
[
; T; B& t) G" ~! A) h6 y max-grain E K8 {, h& x" l2 a5 I
9 W+ G5 z0 b4 c# R2 N* d9 Y0 L
]# w1 X2 M$ z: C9 W$ y' `$ `
' v4 V' X; J) a/ B4 M& npatches-own
" `) k6 O# G9 Z3 q' {( g8 o8 g[# C) B% O. |) ^) a/ V
grain-here
/ Y7 W" J0 e" K# k( I, e, ~. l max-grain-here $ ?& f9 J$ k) I% I( y
]
- i7 _6 t% H1 c( N0 O; `8 T+ t0 W6 t
: ^" s9 B u4 ^- i' t1 S; ]+ @( Mturtles-own
3 N& M) n$ N" a. h[
) S' V; T/ A+ W age 7 t- W5 u6 u; N
wealth 3 G' Q0 l% [3 e" p
life-expectancy
6 b/ a' D0 P; i metabolism
1 {, D% ~4 k s1 i! S# `& [ vision
0 _% s0 Q6 r0 O; G inherited
7 ]4 i! `5 k W) Y]/ B m7 w& x; A8 E7 ]
* d4 j1 k& u# H# e! Q; Q- D# m1 r7 Q# p: B' Q: G
to setup+ ]& y% H( g% e0 m' K5 ~
ca
: `+ ^+ g/ A$ ?( L- @ set max-grain 50
! R# q- J7 Q. g; e setup-patches
/ _# G+ l: i; V2 O x setup-turtles
! V) @8 n6 N/ y setup-plots
% l* \ n. i8 [, ~; s0 S0 d2 T update-plots
3 ^3 Y! o0 T7 d) W) z1 s* Jend2 w4 c% }- [/ m6 {: v, i
to setup-patches. q& W1 o7 O9 O! h4 \' t3 H$ ]
ask patches
7 V3 [- I4 Q$ P% o1 t. a! y w [ set max-grain-here 0: u4 @' Z' R1 o4 P8 w- u# f
if (random-float 100.0) <= percent-best-land. Y; y" h0 |$ i9 m$ W& u+ B
[ set max-grain-here max-grain1 X" v0 v$ C7 d H) ?
set grain-here max-grain-here ] ]1 {; V; Y# z* D2 J1 a0 t
repeat 55 o$ a; l K6 D: J' d
[ ask patches with [max-grain-here != 0]7 v i0 s8 e% T/ I a) ?2 g+ {
[ set grain-here max-grain-here ]8 D7 ~- p; |! P, g
diffuse grain-here 0.5 ]: s& W6 Y7 K+ A3 ~* w& l A8 `
repeat 10* g# {# f& Q' D4 F7 G% q5 S/ J
[ diffuse grain-here 0.5]
2 S4 ]9 ^; S# G, |8 H5 K k/ J' P ask patches
0 e- M ^: {' y [ set grain-here floor grain-here
3 z7 l0 c( ]0 d set max-grain-here grain-here % |7 E( D) a& _0 }
recolor-patch ]
, z! B% [4 k3 `$ O5 X7 |9 Xend: _) W& p+ O. P
to recolor-patch
+ Z% {9 Q6 C- ~. x- Y( A set pcolor scale-color sky grain-here 0 max-grain" `8 W3 K. m) P
end; U5 P/ M) e6 N" _4 g0 v+ }% a( U+ g
to setup-turtles
4 a3 Y: |; S; R6 g& r) S; t" ^+ } set-default-shape turtles "person"$ f1 u! y% f, f' E V5 w% Q
crt num-people: B/ T7 ^3 g5 g
[ move-to one-of patches
) m) `- F. n6 W& y# e set size 1.5
/ D4 D* o0 z _7 ^ set-initial-turtle-vars-age, A/ E+ }; V: ]2 B
set-initial-turtle-vars-wealth
K0 X5 Y. g1 g! \6 S( B. `- a$ v& A g set age random life-expectancy ]. t' h( a/ r: t- x
recolor-turtles
5 D% M! o. f9 i3 y9 M* q7 q# a! nend9 |* a$ {% L$ K1 f# U4 B
T- L; k+ W3 K; Q. w& Jto set-initial-turtle-vars-age
/ y6 C) p* A( L, {$ ]) } let max-wealth max [wealth] of turtles$ v- @- D, o, N& F+ b! s% N# [. K
* b7 v! q1 H6 v0 G ifelse (wealth <= max-wealth / 3)
9 S) F& n9 M+ E& R+ H8 p [ set color red
6 S5 H8 o, }9 y X set age 0% ]' C- T( S3 p# _3 {
face one-of neighbors4
: B( X& D0 r+ } set life-expectancy life-expectancy-min +
3 N+ O1 |. b% s* Y, i$ [% T random life-expectancy-max
$ P* y- s8 h, r set metabolism random 1 + metabolism-low+ |2 D2 l6 M& m/ u
set wealth metabolism + random 30: L- w. |* m* z
set vision 1 + random max-vision' G4 l) F' D" [9 B
set wealth wealth + Wealth-inherited-low ]: ~: T+ s. h4 J8 F
[ ifelse (wealth <= (max-wealth * 2 / 3))
0 u" c7 s. W* g, f7 y0 |6 O [ set color yellow
9 R! O; L5 m+ Y& ^ set age 0
8 _" X, A5 X, h' a2 ?: ]* A4 F face one-of neighbors4
- C. s! D2 U! ~1 {' v! r7 b# i set life-expectancy life-expectancy-min +
: ?8 E+ ]5 z2 V random life-expectancy-max + 1. r1 N$ c1 \* _! j. n# c0 k4 j3 A
set metabolism 1 + random metabolism-mid8 d6 C* N2 T4 @* t3 U$ e& \, k
set wealth metabolism + random 305 G0 ]8 a# F' B5 e3 ^- J; `8 _
set vision 3 + random max-vision% D2 A, @, e# t! r5 w ?
set wealth wealth + Wealth-inherited-mid]
$ h1 L/ D8 R, x$ T; O9 O+ m+ A [ set color green ) L" U. O4 w! h) [* A+ Z! c- t
set age 0
8 [& K' G) f# P( Z5 q" ? face one-of neighbors4
; _5 s5 ^: d0 w4 t set life-expectancy life-expectancy-min +
$ ~& P, b. s. Z% T( q4 r random life-expectancy-max + 2% b7 n" l5 [, U2 t
set metabolism 2 + random metabolism-up7 D- s2 t( m& |: Y6 e$ j% ?
set wealth metabolism + random 30% f' c1 {6 p3 p% N% }
set vision 3 + random max-vision0 x- O }: i! z% m2 Q
set wealth wealth + Wealth-inherited-up ] ]
; w# a( n1 q2 H! \! B) N
" p8 [' ]/ O5 W+ lend$ Q2 f1 D; i! y' b0 z$ V
to set-initial-turtle-vars-wealth. \. p4 |# `3 p5 T
let max-wealth max [wealth] of turtles0 E& ~- |2 I8 x9 }
set age 0
& m/ G. o9 O+ u face one-of neighbors4
2 r) s$ I) t8 [$ y1 S set life-expectancy life-expectancy-min +
- x% S( c( W$ U# v4 Y random life-expectancy-max
; d+ j5 }1 o% L( L set metabolism 1 + random metabolism-up
/ J+ C" L0 a, S' Y7 Y set wealth metabolism + random 30
/ `' \! b/ M5 }8 s- }1 @4 F0 r set vision 1 + random max-vision
7 m" p9 L0 C) ?$ g. T4 ~0 g* f% qend
8 R8 ?" i9 l* ~; Q" g+ ^. eto redistribution
' N, {6 [( B. k" l( {let max-wealth max [wealth] of turtles4 v) E. j" X5 _, v I
let min-wealth min [wealth] of turtles6 L/ Y* m" }7 X. f7 z2 M
if (wealth <= max-wealth / 3)" ~( h+ R+ @2 v' h
[set wealth wealth + Low-income-protection ]" @, G8 M9 \, ]0 j. z! k6 v* a2 Y3 b
end
- l, ^& A: H9 `0 I) D
3 Q( t) F% T2 _4 T$ r! Y) B0 jto recolor-turtles8 k0 r+ w h4 w+ M
let max-wealth max [wealth] of turtles
6 w6 ^; ], Z' O) k$ ` ask turtles
7 e4 J0 Q3 y: t+ T. i1 Y4 ], v) ^ [ ifelse (wealth <= max-wealth / 3)
: q4 d8 S' t- K6 W3 _% V [ set color red ]2 w1 v) g1 J) h2 Z' G
[ ifelse (wealth <= (max-wealth * 2 / 3))* f" \7 S+ |9 D4 R! k/ ]8 K, N
[ set color yellow ]. E- R- Y/ R3 l- ?
[ set color green ] ] ]- v$ C0 h% g$ Y
ask turtles [ifelse show-wealth?0 A- l! I" i/ q
[ set label wealth ]; T; @& H) L8 T R, V! ~4 ]
[ set label "" ]]
) Z9 _! i" ^) dend" u7 f$ H* s ^% b
+ B7 C8 B/ P% j% R/ s
to go! J/ G! E: c9 N9 }* l
ask turtles) |& c1 E, W& F$ t" `! M
[ turn-towards-grain ] , i/ G# ]* G$ z9 ^, E
harvest
# V, X# T6 C+ t& `; `7 E ask turtles
+ U( m+ D7 Z+ u- t2 x5 g [ move-eat-age-die ]
. e: ? A+ I6 T1 z recolor-turtles! M2 {; E7 M, \- l+ `
if ticks mod grain-growth-interval = 0
0 w3 z4 ]) v4 |& I# O [ ask patches [ grow-grain ] ]" g* V6 l7 u; \* p. ^4 _1 p
1 M2 u2 p3 U! e% {8 [, T4 w" z" B/ h! K if ticks mod 11 = 00 K* L" @) l" z0 f/ h2 \+ V1 C
[ask turtles
" D3 z' t1 q& w' B8 d+ `0 K [ redistribution ]]
/ J. V2 ^. d6 c" ]- `! g4 u/ h& D if ticks mod 5 = 07 B* r w: \6 k
[ask turtles
- B. x) m0 b! H9 A0 T [ visions ]]
- j$ h3 M3 l2 Z) K% s; e tick9 n% r7 Y) i' Q' z, `2 ? H5 s: m- X
update-plots5 `7 O" i' C& k1 C6 a
end
* g/ B2 l) w0 q' P( ^) u1 Qto visions
5 W. p1 E! w/ B0 q& Z! ?, Y2 l1 Z set vision vision + 1
! |$ w( V. x) U; z( tend
8 S9 L" t( L1 x: K! f, I5 f
6 v0 U( l: x2 j5 G( ]0 [, z6 y- |0 ?! e% ?% n0 A+ M) {9 Z
9 E; r8 d: j3 Z% M$ Lto turn-towards-grain
1 P9 |$ ]- Q) j5 M! Q+ u set heading 0/ F8 @+ a8 ], }5 K/ T# I' S
let best-direction 0& A2 x+ r( y6 z- I5 |! S6 g1 I* P3 f
let best-amount grain-ahead
' M0 z% q' }7 K- g1 ?" k9 T8 z+ h! E set heading 90! \* E7 A7 b4 B" W3 F) c
if (grain-ahead > best-amount)
8 F) U- _9 ?6 _, ]: i [ set best-direction 90
! l# K" Z6 d2 J set best-amount grain-ahead ]' J2 y+ F5 R% }) Q2 F8 h9 {' O t% E
set heading 180) Y( v+ e0 W) b
if (grain-ahead > best-amount)
) ^8 O+ o, h8 F( \& U( t4 L [ set best-direction 180
9 A$ x# K9 G# q set best-amount grain-ahead ]* Y: h! q' c) R. y {/ t( q2 s& {
set heading 270
/ w; K3 ~/ C; z" z if (grain-ahead > best-amount)0 I4 U1 c% s: ]. d5 s p
[ set best-direction 270
- \ Y3 H" A2 R: a set best-amount grain-ahead ]
* L! s' _6 x1 t5 y) J set heading best-direction
; T9 K4 J( [, F! o1 R. Nend. o: W& G& ?( q6 ]( ]3 T2 ]" n5 s* @
" k, ^& N+ \2 K) h9 [2 c$ b+ X
8 y7 F( l0 h) F& i- M1 I: Cto-report grain-ahead
# g; p/ k+ o4 k let total 0
6 x% b# z$ Y; G: v let how-far 1
! \% n4 J, k5 }0 W& t- z+ | repeat vision9 O. Y+ Q% ~2 t1 N/ B
[ set total total + [grain-here] of patch-ahead how-far
' E0 B$ d8 v5 t+ N set how-far how-far + 1 ]
( T4 w2 ]/ t7 ?# ]( I7 \ report total
/ r& g: ]+ r o# W. Vend
( J8 Z6 o; N. B, R5 f* I2 i/ F: l8 S' m2 k
to grow-grain
" v: N( w6 t4 Q if (grain-here < max-grain-here)
! X2 R" i" j& t; _/ ^! Y [ set grain-here grain-here + num-grain-grown
/ I7 p6 k; I( r4 I1 Z if (grain-here > max-grain-here)
) S' l9 l; ]" P9 ?. J [ set grain-here max-grain-here ]+ N$ X! P+ L) ]+ e6 i+ e' r
recolor-patch ] t: d/ r% V, s7 o
end
0 P# J: a* Y" D6 Gto harvest
+ M, p: U2 Y9 y) O! c0 y# M ask turtles& S, Y1 |2 ~* J! B. ^
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
) @$ N7 C. ?: ]" N) B, a% ` ask turtles' \% x! |5 T* C8 V4 u
[ set grain-here 0
$ X8 i# Z5 @' y3 p4 W1 \! R; F recolor-patch ]0 d$ g4 x" _" x4 ~- |
, X& x1 ~$ M3 S# t5 [2 Xend( r# m) t8 [ f# t, @) t6 N
! v; e7 p, U5 V( P8 Y' d# G7 pto move-eat-age-die % n& O& u7 D) e; \& V) @* ^4 q
fd 1
% \. n, W5 t( {# N! ^ set wealth (wealth - metabolism)# s( n9 e% r$ N0 f, h: k# W
set age (age + 1)
; |3 P/ U/ G1 e7 j* }8 } if (age >= life-expectancy)
4 k0 R2 n ?, r5 f7 u& m [ set-initial-turtle-vars-age ]8 C9 {( o8 _7 G- k7 G+ q
if (wealth < 0)
* P! I. H- I$ |* I/ j [ set-initial-turtle-vars-wealth ]. r( p7 M6 h% a' N! [
% H* l' J, h) Mend
! l' [; D/ Z2 h" T, D& i- I& x) s( T% e
& C) U6 o6 q, Z3 _4 Jto setup-plots
* c0 g5 V/ t. b( E R& [ set-current-plot "Class Plot"
: \ W8 \' t3 _8 I* m4 B/ ] set-plot-y-range 0 num-people
7 ]5 G6 i( y$ K, D set-current-plot "Class Histogram"
' Z5 f' y4 ^* r5 y4 ^ set-plot-y-range 0 num-people6 h* r" K# E; d8 N
end
1 \9 b( H& W% T; F6 B4 m- ?- h# R( ?, b' k0 v, y0 _5 ?( G4 D) i- v
to update-plots
1 U; m6 ~% u- [0 _ update-class-plot
& c" Q" }' y& O M$ _! N9 S update-class-histogram
/ N0 m0 q& M; @) r3 V update-lorenz-and-gini-plots
) F; W( Y; C7 P* r, G& nend9 R6 s) |4 W, T( p/ ?6 e
) `* u4 y" g/ a6 T# H9 T) F% d. R
to update-class-plot
. D- h( ], n4 w set-current-plot "Class Plot"
9 k* r( L' w( Q! Y, ^; D set-current-plot-pen "low"+ r1 I7 P& Z; Y7 u( k' ]% t- y% Z8 ]
plot count turtles with [color = red]
8 x8 `- @* q9 Z6 V( H1 V0 d set-current-plot-pen "mid"
# t X: \. J! r0 n4 A9 N6 c plot count turtles with [color = yellow]
% e' | E& `; `$ g4 ]! M" s set-current-plot-pen "up"
9 E% ?' L. W+ z) J$ Q$ M plot count turtles with [color = green]4 p' Q0 D9 S& j# s9 G, m
end
9 c& {- P8 `7 P5 T2 M- Y6 @2 Q* k5 `0 e
to update-class-histogram6 O3 w# V, o0 i$ W
set-current-plot "Class Histogram"
7 L2 A+ T. N0 d6 j) W1 M plot-pen-reset
& b$ |) P( I8 C" R set-plot-pen-color red
, t3 F+ U+ v$ |5 o" j# o% e0 [" | plot count turtles with [color = red]' N% d& W1 `% Q% @" _( c" i0 L
set-plot-pen-color yellow
, I' A+ @( F# ?+ a+ A! i1 n) d I plot count turtles with [color = yellow] F# R1 }3 U7 t; X
set-plot-pen-color green5 X( T4 l( c! c. I9 x$ u% Y. n
plot count turtles with [color = green]- a R+ A/ O8 q
end
7 p3 }; c0 J- w5 {to update-lorenz-and-gini-plots
$ D, h) }% O) k x4 j4 K. Z0 w2 K set-current-plot "Lorenz Curve"* m- |9 c9 U4 N( ]2 t& j
clear-plot
* m7 N$ Y) {+ i+ [) H( g2 A* {- G- q3 E5 c2 r7 L) G
set-current-plot-pen "equal"
# B1 H9 [$ u* e% R* e0 v9 ~ plot 0
( p. G& v$ F# U4 d5 }' V2 Z1 ? plot 100# _7 d8 Z- C4 J# h
! N6 u8 F! l' W* h set-current-plot-pen "lorenz"
1 z: ]1 t; C- j* X- L8 k set-plot-pen-interval 100 / num-people
* O# P% K5 s& |; X( S! L1 i plot 0
) b% d" r- V1 j' ^3 G
+ j% a, u) F% }" z+ Z1 I let sorted-wealths sort [wealth] of turtles
" r* }. C% U+ C3 w; T: ~) O let total-wealth sum sorted-wealths* w! }5 [1 g2 M; V: k/ g5 x$ T
let wealth-sum-so-far 0
4 ~7 n' d2 [$ v let index 0
! W' c0 P! Y9 N" q8 I) ? let gini-index-reserve 0
5 a) j9 _8 S( K' S9 y* z% g( W
, `, ]$ P4 v( w8 N; k: \/ i; S repeat num-people [
* D* X+ y/ @8 e, F' W/ l8 c( E% D set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths): A* ~- R. F9 I6 y5 I1 z; h5 J
plot (wealth-sum-so-far / total-wealth) * 1005 U8 f- S6 E2 n
set index (index + 1)
; c9 `6 W+ ?0 ] set gini-index-reserve: [9 Z4 Y" r I0 ^* D, ^
gini-index-reserve + _: |$ F+ ~$ K
(index / num-people) -
# {" [2 ~# k! m( U8 b! I; U8 T (wealth-sum-so-far / total-wealth)6 A4 f, ?! @& W8 v1 g% ^( v- o, H8 z
]
6 c& U5 f+ j5 w1 ~. K# N7 h. ?0 s* f& L. e5 W. ^& v6 |
set-current-plot "Gini-Index v. Time"% g- z" B; t/ A, e; k, D
plot (gini-index-reserve / num-people) / area-of-equality-triangle" c% ~" H. g, e) Z. u0 E; k
end
' U$ i0 l$ }7 h: Jto-report area-of-equality-triangle" }+ m% c- n' R& R; h1 \- ~6 P7 E- @
report (num-people * (num-people - 1) / 2) / (num-people ^ 2): x9 C& }* d Q7 ~7 X6 L% l
end |