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
& @5 g# ?+ _, I& N6 k6 K* H, a9 b% X& ?globals; e, k2 d4 ?$ y! m* I
[
2 R) F) x; s/ ?* T- x max-grain # D: q0 v; y; S& n5 x: \
; A5 Q: k: s7 D9 `) C3 j]
, S/ U% h9 X& t. [# M
, H1 ^, p( E% n7 c& p" npatches-own
7 f6 n+ o) y3 J9 x[9 U6 P* b) w; h" X2 W. W
grain-here
1 i9 d. z* c2 j- m2 J* L0 Z! b max-grain-here
3 }4 m. O7 [# T$ u]
, ~1 G, A- v9 E1 J) }& f* m& J- Z0 a9 @( A. o8 H/ ?7 d7 H4 I9 ^
turtles-own
3 t: u" ~6 }4 i- U+ `, t[! G- F& a* v% V$ }3 {
age
& }1 [' w1 j! b3 X% A wealth , R f! I+ O- B+ B, o. M6 d. T5 k4 l5 D
life-expectancy % |8 l( l* x g+ q) g! e5 f6 S4 O u
metabolism ' U5 g% o% ?2 g" I
vision
& p8 F! n; l( |( C$ r* W3 y3 R inherited
# a6 M4 ~, s, c5 W& c' h( L]
8 F W6 M) B. V+ L* F
5 B, C) V I G' Z D: P$ h
7 e! R) _6 W0 zto setup
" f; V( ?4 z* [8 Z8 T9 M3 t ca
' ^. W' ~6 F% n0 y set max-grain 50# d6 s' a1 B1 e
setup-patches
2 W. W! L) }% s5 a+ _' O4 B4 t6 x setup-turtles
$ V2 P; ]! i2 v$ ^9 ~$ Z& a setup-plots
' ]+ S# T8 ]! [3 P* E6 W$ s update-plots6 T1 l1 a% Y7 A' E% m
end
2 [+ ]# _/ K7 F# @' G% W; f4 bto setup-patches
3 W3 ~" l o/ V& q9 r ask patches
+ s/ ]0 r1 |1 a5 d [ set max-grain-here 0, ^& Q0 R- [( S$ n' u, p1 q
if (random-float 100.0) <= percent-best-land
. X+ j K) H! B+ p [ set max-grain-here max-grain( E1 r* h. c6 @1 B, I! m5 q1 N
set grain-here max-grain-here ] ]8 @/ Z* R, |5 R
repeat 5/ \" |4 ~, c6 O# A- ^6 ~" C: @
[ ask patches with [max-grain-here != 0]
$ L+ B1 p# @3 M# V& k [ set grain-here max-grain-here ]( s& j4 u. J2 D! W7 u
diffuse grain-here 0.5 ]
& q+ _, b H$ x* A6 j repeat 10) ^3 l8 r! L$ Q8 M; p2 H) d
[ diffuse grain-here 0.5] & _( h, B9 a7 ?* Z
ask patches
4 u+ V' j, Q# H" Q7 k( F [ set grain-here floor grain-here
& |# C+ z' Y7 R' C) _1 [ set max-grain-here grain-here
( F/ B% G4 ^. g0 W recolor-patch ]$ U5 l2 X4 o- B6 k* E }
end
- V/ M1 d) w* o: Z. ?to recolor-patch
- ~, b9 _6 i" O, W* A$ c set pcolor scale-color sky grain-here 0 max-grain
9 o! M. [# T) l L% ]% t- eend
: O$ C- p6 H0 i4 \* [; hto setup-turtles3 g$ }. p r# d5 Q
set-default-shape turtles "person", p% `) p1 p$ [, {' {
crt num-people- y$ d! i% X: o( @ u6 @$ |# n
[ move-to one-of patches
K+ R, u7 e# w3 \( v' S1 K% i0 u set size 1.5 $ m& } k- A2 e- S0 O+ d& S
set-initial-turtle-vars-age
c) N5 g0 w! k L! R set-initial-turtle-vars-wealth
: O, X8 l& k; J; B' } set age random life-expectancy ]% W( O, o! ]8 c: ^% K- C
recolor-turtles
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/ E1 A0 u: w2 I3 w9 n
to set-initial-turtle-vars-age, S, ]6 Q. k: z& P4 `
let max-wealth max [wealth] of turtles
+ [( m$ D) @/ Q! ^ " G6 w: j5 c1 S* a2 O6 ?1 L
ifelse (wealth <= max-wealth / 3)' ?, E6 V, B+ L7 m8 |
[ set color red 8 M: v8 h* c! `0 `) {& `
set age 0
; `: r! G0 ^6 E; w* i) c5 v face one-of neighbors4 ' p2 R, d1 G1 L1 V" I% s
set life-expectancy life-expectancy-min +1 H( O, p* {& b: ]7 U
random life-expectancy-max
5 Z K3 Y: K7 O& W set metabolism random 1 + metabolism-low- H& O1 P5 z, [2 P
set wealth metabolism + random 30! S4 J s, e0 m$ C5 j7 I4 r X, w
set vision 1 + random max-vision
/ U; R6 b+ A) O& e' P( @3 k& b% ?5 h set wealth wealth + Wealth-inherited-low ]6 k7 B8 d! H$ W, o& ^% r% E
[ ifelse (wealth <= (max-wealth * 2 / 3))
$ f# e* c7 r, T) j1 f [ set color yellow
' ^+ C1 @$ O( | set age 0( S7 D- F. X: j
face one-of neighbors4 $ J) z5 f4 @- {
set life-expectancy life-expectancy-min +
" H. ~7 R& U( A/ k( I9 S random life-expectancy-max + 1
: ~5 `* F% X8 K( Z' [4 b- G set metabolism 1 + random metabolism-mid
3 p5 c" W0 Q2 N! O( U! {* U0 d( B set wealth metabolism + random 30, l8 t; S! |# n$ T) \6 }& z& t% k
set vision 3 + random max-vision
. Q! i8 P* G9 o, G# @- J set wealth wealth + Wealth-inherited-mid], b( _8 J" g7 m& B, |
[ set color green
9 o# S$ k% m' Q set age 0
; M7 O. g' B1 B k* Z face one-of neighbors4
, I5 ]8 F8 G& k$ j+ N3 F# V/ ] set life-expectancy life-expectancy-min +
2 f! T( T' p- A, Q) n random life-expectancy-max + 2" e; U7 P B+ Y: I" r
set metabolism 2 + random metabolism-up
" z) T# z/ K# x+ v* R/ y# Q set wealth metabolism + random 30
# S4 P& t: D8 a7 n2 f9 c. w5 X; M0 Y set vision 3 + random max-vision: I9 h* H+ h5 _/ N7 f8 j3 O
set wealth wealth + Wealth-inherited-up ] ]
( I; n2 z- s: D! u& V, O
- a& B2 |/ K, K3 e% vend6 k, b. r* d C0 Y$ N7 `5 @
to set-initial-turtle-vars-wealth
% I; \0 X! H8 h* ~+ |4 K let max-wealth max [wealth] of turtles
5 i5 L& [. H2 P7 s: I$ @- F set age 01 ^* j5 l. w$ {* |1 y
face one-of neighbors4 K1 K/ f& n% K/ I( Y5 s( g
set life-expectancy life-expectancy-min +
L" O: w! p6 v/ x: h9 } random life-expectancy-max
" s' [. B9 U# `. g set metabolism 1 + random metabolism-up4 F" I% J, H+ o% f( [% X, v
set wealth metabolism + random 30* R2 j8 c' x' ?
set vision 1 + random max-vision
4 I1 O V( x; b/ B0 |end
) A9 M9 f4 _' @to redistribution
3 k9 o! H# j" ] ]let max-wealth max [wealth] of turtles
$ F; x- ?% m% {6 {let min-wealth min [wealth] of turtles
" m4 r. d# q: F) T* c8 Lif (wealth <= max-wealth / 3)- z7 r& p; n* `
[set wealth wealth + Low-income-protection ]& |& A+ K6 Y# Z8 R
end
( A8 J) @$ ~+ X# \2 {6 I6 E 4 }" a5 r9 m6 `: u8 Q2 `" v! p
to recolor-turtles% J5 x5 x4 w7 v: E/ [) e9 W8 o( Q
let max-wealth max [wealth] of turtles
; R- I! o/ N- U' ~7 E/ V# r. [ k0 ?- j ask turtles! E& n9 t4 U, a7 C
[ ifelse (wealth <= max-wealth / 3)( y! U/ U" I2 r' \; Z; `
[ set color red ]+ s d3 o( v. N, d) w4 q' M
[ ifelse (wealth <= (max-wealth * 2 / 3))
) j4 v) E$ _: r) j @. n [ set color yellow ]/ n% `, U6 q- b
[ set color green ] ] ]
# X& \2 d2 W' W, M1 F ask turtles [ifelse show-wealth?4 j% ^1 f1 `, U/ h) G% I" X
[ set label wealth ]+ d: `: ]4 }4 K3 x3 t
[ set label "" ]]) J5 O9 l, m2 }5 x2 q
end
4 L, @8 t+ `/ M3 n$ l) X
* i6 Y- u5 p% T6 zto go
) }2 ? d7 b: p# R ask turtles
# R! r5 ~( @4 v9 y$ Q Z2 \ [ turn-towards-grain ] " R% [6 h2 Q7 E) Z8 d" J
harvest X$ o; r- j9 I: I$ w) f$ U
ask turtles! c8 S- Q* j; m/ Y( y
[ move-eat-age-die ]8 i$ H2 h* w! T% _$ `; `
recolor-turtles( J4 G' n5 g2 R& J% U3 o
if ticks mod grain-growth-interval = 0% l N+ _4 A# A$ p$ ] w
[ ask patches [ grow-grain ] ]( _- H* p1 W0 I7 M* u+ `, Y
$ l8 H# ^% }% F% I2 Y0 a; ^
if ticks mod 11 = 06 h) q- l1 G$ V& e" s0 ?
[ask turtles
" R: _. Y: _" G# i' H0 U. P [ redistribution ]]
2 B. B+ o8 ?, n5 y; X0 t if ticks mod 5 = 0
( ]% d0 a V( e3 _' H. \9 i( H [ask turtles
/ D T" X% e- U' Q% G; R( I$ O7 l [ visions ]]1 x5 ]; @4 ]( _
tick
* N3 E9 `% G3 k- j7 k$ C' k& h update-plots
5 f, K8 F# }+ B2 Mend# C$ m; \, m$ ~: c- n
to visions
8 b5 a5 g4 D4 h set vision vision + 1 7 D( x! P5 k6 E9 C3 |
end! b+ J5 e$ y6 L- V# S" v) s( D2 ]
" Q2 g( V* X1 T/ z |7 @
& @! @. b6 L$ j7 K g. A: A& z, K' U
to turn-towards-grain 0 U+ i: _. S' e+ {5 f* b
set heading 0
/ D! f6 R! Z( M& e: V let best-direction 0* T- m7 C" t( f$ W: Q
let best-amount grain-ahead& b1 O# ]4 p7 K% h$ p
set heading 90
& a$ u! t' a7 Z+ A* V' ^9 o if (grain-ahead > best-amount) s8 I8 v6 T* o$ B; }
[ set best-direction 90
6 K9 i3 c; Z4 e9 z0 c. ^ set best-amount grain-ahead ]
3 Z. J) V$ j( A$ d set heading 180
/ h d: f5 X4 E. h, `! G if (grain-ahead > best-amount)
7 }6 O; Q; i9 _9 a [ set best-direction 180% ^' B4 X8 q0 e7 @
set best-amount grain-ahead ]
( `9 s+ L, j$ `3 w; O set heading 270
v6 p" N9 j G7 Z, o7 x; p" N if (grain-ahead > best-amount)
; K% D5 \" K% |& G [ set best-direction 270+ f8 X8 X: V W4 o) w
set best-amount grain-ahead ] c" w! O6 `; c" d$ D+ |
set heading best-direction
1 q" ?, Q8 z" J" t3 V- Kend: S+ S* j; ~' J; H ~6 n8 e8 h
! A+ F# y& f, f; `1 h+ z
7 G0 d: h* x5 ito-report grain-ahead
: g* ?, t! N. \4 @; L let total 0
' B: ]! }4 H2 t* c2 J( D let how-far 1) t: j: N! Q: O, {1 k( q! J. M
repeat vision. U, v: a7 p, d6 [- e9 b) c4 x/ f4 U
[ set total total + [grain-here] of patch-ahead how-far! F/ t( F5 V+ A7 y9 ~
set how-far how-far + 1 ]7 s, ?5 o3 X+ c% `
report total
0 `( H P9 {, P( T1 Uend
+ D. z Q9 J6 A5 d4 M5 K& s+ [4 L- ?' @' X0 Y" d& L
to grow-grain
, ^# J# g% ?+ A if (grain-here < max-grain-here)+ ^6 ^( a4 f0 [9 s" U: }( o: E. }- O
[ set grain-here grain-here + num-grain-grown
& X5 t+ r9 t: T! f& r' X% n0 G if (grain-here > max-grain-here)
% c1 \3 w. d7 m) T+ k2 |) F [ set grain-here max-grain-here ]
0 P/ J$ R6 |2 ]+ d4 V' ^+ v recolor-patch ]1 R b- E4 q$ |2 d' Q6 t8 Q' [& I
end) Z/ _! \% g1 S4 v
to harvest
' t( e# f8 y9 d) C5 l4 n ask turtles! J4 N2 ]2 p1 _6 g. z
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]; \* W+ A! D! o9 q; Q0 Y9 p3 k# W
ask turtles0 G$ n) \% @9 [. W
[ set grain-here 01 ~* Y" f$ C( ]3 a
recolor-patch ]
+ K$ A0 p, Q$ V& ` $ ]0 i* l9 t: r+ J% {, g# G
end
6 P, A* T+ K; L+ M0 O& F* D8 j( p. X3 V7 \- u+ |2 |8 S" J3 C7 s
to move-eat-age-die
7 |4 i2 g' |* B0 Z8 n4 o( e fd 1
8 w! ^( N2 Q! Z# t set wealth (wealth - metabolism)- T* k1 }5 _4 H8 K5 x5 {
set age (age + 1)
0 K- T- {0 H- _+ |) i if (age >= life-expectancy)8 o0 e# `$ U% {/ [& q
[ set-initial-turtle-vars-age ]. |3 W* x* @6 T! D$ [5 Y8 m
if (wealth < 0)
2 G) y# r; o" b+ t& I6 f [ set-initial-turtle-vars-wealth ]
3 D1 G, _2 n4 Z7 i6 n$ q
2 B3 [; m, Q5 J3 Lend
) E+ _3 ?9 [( |. [8 U( m. E( _+ r
! ^; B+ C# y ?) @4 B* b% Z& h* P. H: h/ @2 Y5 X
to setup-plots
# c# [) s9 j" E* l set-current-plot "Class Plot"
1 f; E4 W, O. j, s+ L set-plot-y-range 0 num-people
6 z/ A9 ^- b! B# d set-current-plot "Class Histogram"3 G0 B5 _- {+ I5 b; G) u
set-plot-y-range 0 num-people# j$ v3 T/ f$ C/ D
end8 z7 D$ [6 y% T/ [3 O4 [$ B1 Q; c9 A
. N, I# z- F3 b+ t0 D
to update-plots
6 W, D# r# f0 D0 @3 w0 u- M+ r( ^ update-class-plot0 W8 t- k, S0 W9 u
update-class-histogram
& h- Y* q* J( u, c6 N9 z1 L; _+ ], N update-lorenz-and-gini-plots
1 {) S# k, ?* {* Pend
, t. F. A% A0 D7 e. i+ f
& B- [& ^$ Q3 S" P2 W7 g3 a% pto update-class-plot
. b# i$ n1 ?4 \3 _3 @8 r c8 p set-current-plot "Class Plot"0 z3 @. R$ E0 k# r9 ^8 x( i8 M
set-current-plot-pen "low"
% J, Y+ H" ~8 S plot count turtles with [color = red]
1 l9 s# p1 _- I- y8 R0 o1 j) r5 A set-current-plot-pen "mid"
" E5 Z; s( T. I+ g plot count turtles with [color = yellow]
5 S, T. q$ t! z: W7 K4 E( D set-current-plot-pen "up"/ x1 ^5 p# B H( L9 P G2 h
plot count turtles with [color = green]/ c1 P' t( f* C6 i- W
end4 t: w% |% q& D8 Z/ G9 B1 M/ b
4 B! u! p' D1 n5 U% D( w4 Vto update-class-histogram# J& N6 ]5 L% S1 z
set-current-plot "Class Histogram"8 q1 A( m! [" W3 P: L
plot-pen-reset. M) C/ \2 C# q \" L. G
set-plot-pen-color red
- T5 G2 i4 ?6 T" f! @/ V; ~7 } plot count turtles with [color = red]
7 D# O8 o3 l4 J8 R$ M# }& Y! S) ? set-plot-pen-color yellow) a2 X+ ^$ `" D; g, ^
plot count turtles with [color = yellow]
7 r$ v9 x+ i0 Z4 {1 U set-plot-pen-color green
4 a1 z9 j# f! i1 n plot count turtles with [color = green]
- u) R8 A; F2 W+ s; |! `end6 ]: h/ |7 o3 `+ W9 W' z; }: ]- K* }6 f$ @
to update-lorenz-and-gini-plots
; V2 e9 N" Z% O+ y# \1 L set-current-plot "Lorenz Curve"8 u0 I/ M6 `, h/ {
clear-plot) w5 l# c/ U" E0 R! s
1 X2 m1 |/ H+ A0 |9 [
set-current-plot-pen "equal"9 s0 Z: k* }: `3 N d) E
plot 02 s c$ T5 t1 Z& _' d2 k$ c. i# F ~
plot 1007 M, ]( B) ~3 y1 S0 U, j( `
) A" M* U) ~8 t" y set-current-plot-pen "lorenz"
$ m6 e5 d6 K6 U3 \8 u set-plot-pen-interval 100 / num-people# [5 T- |2 b8 s% j$ ^: S
plot 0$ M; U7 F: H7 s/ }! |- k% n$ ?
* {, X. z6 k2 H4 Q( N" w let sorted-wealths sort [wealth] of turtles
, x \. m9 \- a5 t+ ?& l let total-wealth sum sorted-wealths* N6 {+ w3 i' I; M a! o
let wealth-sum-so-far 0
" {! P# s( f* ]. r4 o let index 04 W$ a* N- J) h" t4 o
let gini-index-reserve 0
5 ~6 r; j5 D5 k9 q" f
) |+ ~) N$ C/ r/ p. ]) S+ p repeat num-people [
0 y4 F. k, Z& E: o/ T3 a1 k( n set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths): Z9 [2 @8 F, X/ [3 r( [
plot (wealth-sum-so-far / total-wealth) * 100
3 v$ `+ b* X) ?9 j" m- O9 G set index (index + 1)
+ _. a, z1 i5 A% Z' |: P set gini-index-reserve) c% i) a: I1 t& t$ x; h- C( |
gini-index-reserve +
$ J2 g) D# \6 f4 u$ D" O: L (index / num-people) -
# ?2 @1 D4 C. d. R# m' ]- j* V (wealth-sum-so-far / total-wealth)- q5 i. \4 ^: G" e4 x
]
+ _; u) h# D7 C/ @$ `; }# Z% \5 ] ?
1 y) a( K4 n/ t" j! L/ D/ ]* V set-current-plot "Gini-Index v. Time"4 t: c$ k7 B4 m9 Y+ e
plot (gini-index-reserve / num-people) / area-of-equality-triangle8 W& [3 m7 e( O9 t. a4 \! d
end, ?: Y' x7 b. G: w) q
to-report area-of-equality-triangle
' R+ H; H$ D# _% |/ E' u report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
% t' @2 w8 ~9 q- _end |