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
$ p7 L" l/ F/ w1 w1 ?# \/ d3 dglobals: o9 c' l8 J+ f5 h
[
1 c& a, L+ e% Q max-grain
7 r. _1 l& x) U* d( d) c
3 M/ B% s1 e# w* U]
. S: N: ]6 K- O9 B8 @( M1 v. _" Q2 g# r
patches-own
, T3 ~, p( a F8 B$ t; `% C8 V1 S[2 m2 |' l% u( p7 W/ [8 f
grain-here $ G: U! J, s" M0 t6 N7 f, o
max-grain-here , B ^4 H. x7 I; |6 X; V
]+ }. G2 ~6 y% d1 W9 c
6 m! h% Y( @) @! F. n/ x' ]
turtles-own
- w3 H- ^+ u8 t5 P6 e/ R[4 U4 Z) ] A" D: s3 Q7 L
age
- `4 t/ P# `% P1 L: ` wealth
' E% T7 V2 }. H3 N2 ` ^ life-expectancy
u% C: b' b' j) x metabolism
; c) ]7 b4 X2 K) r0 H8 C. v7 T: R vision
4 U0 j1 Z0 U% r: |3 c( W& G a# u inherited , i5 P& p$ A! m$ d& z9 R1 O
]
* t: o5 D; y* A- J0 P' a
- Q% j; n- f6 S
3 y$ ^% l0 J2 }. kto setup
, Q* d! N# N; ~7 \/ L- W# d ca
$ |; e6 ?* o- ]( b \( s set max-grain 501 D8 O: r) C) e/ C
setup-patches/ Y; d$ O0 u$ S* F$ h+ n& ?
setup-turtles
* ?' H2 O5 M& U setup-plots3 s7 ]' a3 K+ h8 ^2 i
update-plots
$ e0 ~" |) j; o9 q. n) _+ Nend
5 \ R# B+ ? H4 ~to setup-patches
) ~% h6 a, ~7 a n: u4 L! \8 ? ask patches
1 k, |4 S" A5 Z. H0 x2 c9 ]% Z [ set max-grain-here 0
, f9 n! K5 V' P: i2 z) x. t: u if (random-float 100.0) <= percent-best-land4 L6 @ u- V+ \0 S% X( F2 ?$ S6 V
[ set max-grain-here max-grain5 l9 i* r& A, r7 ~2 S
set grain-here max-grain-here ] ]1 ?4 [% y( |9 ?7 V' }& Q
repeat 5
; _ Y7 ?) t- i5 X [ ask patches with [max-grain-here != 0]
2 Q, c& g) Y& u+ t v0 g [ set grain-here max-grain-here ]
! u3 [ U3 v( ?# S- s' O: V diffuse grain-here 0.5 ]
& s9 M( V) o( S& L( w/ S& t, H+ Z repeat 105 l4 M' k/ b# }0 U" J
[ diffuse grain-here 0.5] ; P; _& u/ Y) _. S) O0 b
ask patches
2 Y/ r2 H B i M [ set grain-here floor grain-here
/ e; E( r2 ^% ^4 s( v* c1 O; x set max-grain-here grain-here ( ^- K& a! B9 Y/ {
recolor-patch ]
7 l" m5 p2 Z. F) Q9 Jend% b2 I! |6 I& J" B
to recolor-patch * i/ _, i' F# o: X
set pcolor scale-color sky grain-here 0 max-grain+ O1 R7 e; ]: V. Y
end5 C7 E) u. O0 ]- y" E; X8 M
to setup-turtles
: g/ M9 i, i: R8 J set-default-shape turtles "person"
- ^% p4 Z5 w6 O5 T* b crt num-people$ r# I K- _0 L5 l3 F- m
[ move-to one-of patches 7 n I: G/ q9 Y: ^ p
set size 1.5
) {9 x! K9 T5 W$ a7 ^7 q& d set-initial-turtle-vars-age5 o) H4 h( h3 R f
set-initial-turtle-vars-wealth
, a; A" ?7 ?+ F( L8 a3 r- H set age random life-expectancy ]; |7 F( D ^2 m9 o/ [: F+ ~# @
recolor-turtles
) R$ Z- t* A- E) q% ^" send2 ?3 i' J8 @! L. R
0 ?1 Q O6 ^6 d2 f: Pto set-initial-turtle-vars-age
, f* b2 E6 e; @6 J9 y. ~9 C let max-wealth max [wealth] of turtles
' h4 S, r& }$ y- ~ ) a, N0 d% z& \
ifelse (wealth <= max-wealth / 3)
8 Q6 C+ N2 Z+ D, m4 R% J [ set color red 8 Z4 b N3 k9 Y2 n0 I9 u
set age 0! R1 `" c- r7 [5 O; w' N: P& ?
face one-of neighbors4 5 n8 P) D5 P' `
set life-expectancy life-expectancy-min +
# b( ^: U) z& F) n random life-expectancy-max
% X6 s s: l0 m1 d/ T* c5 y set metabolism random 1 + metabolism-low5 Y F, }) u, ?8 ]) ~
set wealth metabolism + random 30- k' v9 ] Q: S
set vision 1 + random max-vision6 |" j1 Z) T L3 w
set wealth wealth + Wealth-inherited-low ]
) I9 J+ _( V( }/ G5 f [ ifelse (wealth <= (max-wealth * 2 / 3))
! V6 ?1 `3 R9 C$ G& W [ set color yellow
( v; b/ z; y- ^; h: D+ Q; R set age 0
" d7 E/ Q0 Y6 ^! r: T7 k0 w face one-of neighbors4
: y! h7 b | t6 g3 q set life-expectancy life-expectancy-min +8 h& v+ H1 U- G
random life-expectancy-max + 1: f( c$ c8 K! R$ `$ y
set metabolism 1 + random metabolism-mid
n* u" Z% X* o! ^# O% { set wealth metabolism + random 307 q# S* K1 M) i& r3 Z {' S& Q
set vision 3 + random max-vision
; w# a/ v% W% Q# M; ^ set wealth wealth + Wealth-inherited-mid]
) @0 m$ [* E2 C( E6 A' ^1 \ [ set color green 9 @% w- k( y- ~( T) s0 ]$ Y! T* T
set age 0! P. s3 Z8 `# @) ~. }1 ?: O& Q
face one-of neighbors4
6 j. k# U0 l5 L; [7 \/ b set life-expectancy life-expectancy-min +
, h# s- N _- ? y, O; B) ^ random life-expectancy-max + 2
7 O! \% J3 A' ?7 ?; Q! j set metabolism 2 + random metabolism-up
. M# Y) {' U2 l( T& z3 F% h set wealth metabolism + random 30
. v4 h, W7 o0 e; A9 E# s, j. h set vision 3 + random max-vision
1 \4 M+ X( y) r# \; o set wealth wealth + Wealth-inherited-up ] ] ; g3 `' ~5 z6 ~
U, F/ ]" Q1 m- O3 r6 Uend6 Q! L+ Q \8 A6 p/ k. [. H c
to set-initial-turtle-vars-wealth% Y6 O: a0 D4 e% U" C' Q
let max-wealth max [wealth] of turtles5 y) i* @, q% t% H P
set age 03 f/ i9 p4 H! {( z! m% Q; m6 K @
face one-of neighbors4
( W( l5 a( \, `7 F& k: B: r# i( [ set life-expectancy life-expectancy-min +
: ~- y1 d8 [8 ]; F& {$ \& {# x; B$ H random life-expectancy-max
$ ?! c, R8 P6 I set metabolism 1 + random metabolism-up
7 f0 a: X; s! {8 Y5 {' U set wealth metabolism + random 308 I3 Y% N4 Z6 I# w( H
set vision 1 + random max-vision
" v% b. k2 C9 E" |6 hend/ Y3 ]: Y% ?) M g5 J! a8 F
to redistribution
8 Y4 O* A* V5 B! v5 i r) @% Rlet max-wealth max [wealth] of turtles
9 X6 Z, i- v0 z8 P1 j$ ilet min-wealth min [wealth] of turtles
' z/ b3 c6 M+ x/ N( lif (wealth <= max-wealth / 3)
* d: `; d- w, X6 H0 c! y' @ [set wealth wealth + Low-income-protection ]" G: _. r2 S2 d2 Q3 c( K! l
end! u$ G# X! v6 T0 H6 V$ U+ o+ v* {
$ \3 d) Y- u* d6 t3 hto recolor-turtles8 y$ J# i6 e# h
let max-wealth max [wealth] of turtles" }* s) d' e: k* ]$ @/ j$ L1 `4 M; o0 l/ R
ask turtles3 r+ X0 w: c' q0 _
[ ifelse (wealth <= max-wealth / 3)
4 H8 x' M Z9 f, \ [ set color red ]
" ~9 h) P! m* _ [ ifelse (wealth <= (max-wealth * 2 / 3))0 \: f' Q. r6 K+ P: l9 X9 P
[ set color yellow ]
c' v$ z9 K1 L. c3 T$ A [ set color green ] ] ]
1 x2 u/ X% i) I5 m* ?2 F# { ask turtles [ifelse show-wealth?
5 n8 W9 \: {( q! S0 p9 E [ set label wealth ]9 s3 G. Y: P# m
[ set label "" ]]
. Z& U4 l" E2 L( g( k$ Qend* w( I' V! ?4 ?% n% u
2 g, a& H) t. Q0 k5 y7 J3 ^; Mto go
" v ]# ?/ \0 A3 q3 j- ~$ K! A ask turtles
; u7 z, Q" c4 m [ turn-towards-grain ] . r" C2 |4 i, R
harvest
4 ~ q1 }9 v: A$ E ask turtles( G5 n Z1 {" o2 h2 A5 y
[ move-eat-age-die ]7 K8 f. q1 F# ^( |
recolor-turtles
3 _5 P c( }3 w% C% z if ticks mod grain-growth-interval = 06 x/ p/ Z$ ^. Z% S, e' P
[ ask patches [ grow-grain ] ]& u$ U: |9 O( w$ U; k) `
) F3 e+ M9 s% [% d% v" A% D/ S/ r
if ticks mod 11 = 0! \4 c) |/ K4 ^; K }
[ask turtles+ u+ f+ H% H3 g1 u3 g
[ redistribution ]]6 t! B$ l9 i1 D6 K9 N' ]8 u9 D
if ticks mod 5 = 0
) E8 y8 U- N" V* b; V u+ ?( U0 s) j [ask turtles
( l6 [" ^1 X3 m D3 G [ visions ]]0 z! t, u) ~+ m5 V& O, L6 T+ l* C
tick
* Y# `. k5 X8 m, G4 r% D2 L2 N: y update-plots/ w: `, L% e& l* G! V
end+ U+ q8 i, S2 k
to visions5 a8 ]' i) z, B! B7 f. q8 U0 s. A
set vision vision + 1 " ^9 X3 Y: X, t8 A6 l
end9 N1 G) N C$ |/ e% E0 S% x% a
" {# C4 I) o" d$ g% j3 ~* [$ q4 W- h$ d ]# K
% M1 D5 y9 }0 Uto turn-towards-grain
+ w# n7 j) X2 E- s+ }- w set heading 0
* a& M3 o" O5 z9 W let best-direction 07 z2 F( q: x" |# D# C* C1 D" ^
let best-amount grain-ahead
: \0 v9 F4 d* F0 A set heading 90
8 J" ]. J; p+ q( Q$ X2 d9 v3 x if (grain-ahead > best-amount)$ k: X$ A t. x$ _
[ set best-direction 90. X; ?+ p% }, w/ b- p2 `7 Y
set best-amount grain-ahead ]
6 b7 A5 x: `; l( a# H( Y6 P set heading 180 }. L5 K5 ?( A# |$ O9 B
if (grain-ahead > best-amount)
+ P6 ?# [* ^ i3 M [ set best-direction 180
4 e6 ~% H; W) S3 h; c5 `5 j set best-amount grain-ahead ]6 d, G0 P8 ~: ?% [( n) Y, l( D5 G
set heading 270
, m, U, o, j4 g% \0 _* q; D if (grain-ahead > best-amount)* \( T5 n' ]: T
[ set best-direction 270
3 A( P: t3 i3 p/ V7 B1 T set best-amount grain-ahead ]% [! c7 W" I* j, i: s& V
set heading best-direction+ r: p( O, I/ m. k: p
end
- p; H. M1 T2 ]( E* d) {
8 D' w5 o3 e" y& n. B' H
o7 {7 |# J, d9 F9 Z1 O- H# Ito-report grain-ahead
- Z3 r# I" c( ?2 {6 `7 s( t! j let total 0; e2 x X4 n6 L2 C3 W# {% n
let how-far 1( O/ g" @0 W# ~& J0 E) n
repeat vision
# C; v0 f+ t1 \+ F8 ` [ set total total + [grain-here] of patch-ahead how-far9 e& M* F* P) S+ i
set how-far how-far + 1 ]# h/ D5 ?6 }) f; |! Q
report total6 w) D2 k J- X, ] `
end
$ n$ d7 ]& |- T7 _
( U" ~3 H; e- |4 j* _& Nto grow-grain
* L6 c5 n* }2 m! a if (grain-here < max-grain-here) p7 _ \: d" R e
[ set grain-here grain-here + num-grain-grown5 U- T; E$ j4 c$ y
if (grain-here > max-grain-here) ) B1 p4 `/ x5 s/ v9 J1 K
[ set grain-here max-grain-here ]* C( ^ Q4 F+ J3 O/ d
recolor-patch ]
# |6 Q" p3 F/ r; Y7 Mend% W, G* O* h1 r; [
to harvest
* D0 E9 }9 K3 u8 n; J* [) o ask turtles
4 D" ^) j6 u @9 x& Y [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]. p p3 K5 K- r( W! @" T7 S% l/ a4 T
ask turtles8 e I9 [3 f+ A$ |
[ set grain-here 0; Y5 K- o: l3 f5 s: X- t. t
recolor-patch ]; m$ T" o! N- K/ |( L
$ Y I t6 a K* t* s% o
end
$ t2 j9 T9 R8 `* ^' z; X3 C$ r3 d0 i2 y3 w$ L0 z! j- p/ O
to move-eat-age-die : }4 N4 H' G& B9 g
fd 1
X) m2 a; L5 _, G7 B set wealth (wealth - metabolism)
6 l2 ?3 x/ n7 w1 I5 { set age (age + 1)! O7 |* d0 k. V+ v$ g
if (age >= life-expectancy), T. l% f! ~+ W4 C0 x2 |* b& r
[ set-initial-turtle-vars-age ]$ K& h! M$ q6 \& I6 W U3 c
if (wealth < 0)
" u- ]1 H d' t* h& \3 ^' [& V [ set-initial-turtle-vars-wealth ]
/ o, Z- @1 {( _8 y; h7 K& n 3 P, {9 I4 Q- J2 O. n7 D' v
end% W$ x: V5 d d+ u x/ d# B0 g' e! r
m3 l! h2 Z$ O# `
# K' P" A- u7 Y0 Eto setup-plots
# H" e a' n, Y* D/ a% y3 `+ q set-current-plot "Class Plot": c: N+ Q: d' x* W
set-plot-y-range 0 num-people
2 x5 x2 Z' P% M1 n7 l1 q set-current-plot "Class Histogram"
, J5 @: z$ {( r set-plot-y-range 0 num-people" A! E* _2 ^. a# u1 }. K+ d
end6 l# x. z5 Q* ^5 u
, A z; K; Z3 q
to update-plots
) {& y5 y6 p' W; P+ d! y update-class-plot; K H" m* d; Q2 E0 @, |' N$ J4 K
update-class-histogram
( K! A# N# m& F. F( V$ j: W update-lorenz-and-gini-plots9 v8 g+ B4 v' p7 u$ b$ m1 q/ Z
end
+ J* Y; P* Y; t: @! v. {* t/ N- A* U/ Q5 W( d
to update-class-plot
& ~8 l; F. A4 X% C set-current-plot "Class Plot"
. C4 [, R U. g& I set-current-plot-pen "low"
& M+ A7 {6 J( E q: ^% c5 D# a5 |; a plot count turtles with [color = red]
3 e6 _4 i( s! r: L- z- a set-current-plot-pen "mid"7 t, K0 a3 f2 @- K: Y
plot count turtles with [color = yellow]# Z/ b' K6 i& y1 C9 a/ n5 u
set-current-plot-pen "up": p4 f7 _; m* ?$ s" J( h" {( _
plot count turtles with [color = green]
0 @9 w1 j# W6 iend, A1 @! {) z0 h4 C; A. Z( B
/ T9 L6 ~: @$ a8 S/ u1 Wto update-class-histogram7 |- ~8 Z% @& {! S7 k" u6 E
set-current-plot "Class Histogram"
, I1 O0 O3 f- B% S7 f plot-pen-reset
7 C4 p0 f; e* I) L7 y! ]9 {8 J$ ^ set-plot-pen-color red
+ q; M1 e0 g h' q( g5 u plot count turtles with [color = red]
$ E/ N9 P) q6 I' Y set-plot-pen-color yellow! _1 J& v5 p! |* T
plot count turtles with [color = yellow]5 t, X9 I5 f8 k, X- P7 k
set-plot-pen-color green
0 ]" _6 v7 D6 f plot count turtles with [color = green]2 X7 m# z3 ^" Y* l8 _1 i
end
! k. U) u# c; h2 @3 ]5 {to update-lorenz-and-gini-plots
2 K5 S6 E& B9 F, l$ L `: i set-current-plot "Lorenz Curve"
; J3 ]4 f8 T9 D+ F( ?% n clear-plot! I) P0 t3 o. \* a. k/ L5 R
9 g8 t5 @+ f9 g' B/ d set-current-plot-pen "equal"
! H% Q& Y5 h! K0 g9 Q/ V plot 0. \6 [6 n& y. b
plot 100
, I; h' I, S: q/ O, h0 B4 y# Y2 h: j" N5 x
set-current-plot-pen "lorenz"
- N$ H& z% Z3 H7 t$ ^& U: |# ] set-plot-pen-interval 100 / num-people) L/ `! [, F2 O) a+ N
plot 0
5 g/ P7 f5 d, K- Y4 x7 v2 a+ m: ]6 \- ?$ N& \
let sorted-wealths sort [wealth] of turtles) p& l T, d( x% `. s
let total-wealth sum sorted-wealths6 s% J- {: u1 D1 N
let wealth-sum-so-far 0' G: ^$ M8 r# k( f ^
let index 0
0 }; \# M' w2 c: A let gini-index-reserve 0
+ {! k( P. z7 ], y. e. b1 @5 d8 o. f5 ]" o* a1 u/ Y Y' H6 ^
repeat num-people [
& Z% E7 W( t1 P* g. ? set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)7 L+ y- ^* B& `1 J) H6 k% N0 ?; C
plot (wealth-sum-so-far / total-wealth) * 100
3 d, x! }% R2 ^: N# V set index (index + 1)5 f" d( B7 }4 _4 ]6 @
set gini-index-reserve
# \$ d: f& c5 Q/ G d# f gini-index-reserve +/ Z( N6 S8 ^. B$ u5 U: |' Q
(index / num-people) - [: p- Y3 y1 J& Q
(wealth-sum-so-far / total-wealth)
, E$ I8 G7 e5 m( C! Y ]2 i! l) d. u7 r: N) K& G4 V
( W5 T! \9 M& X) w& i% d set-current-plot "Gini-Index v. Time"
' K, O9 z% u' l# l8 i plot (gini-index-reserve / num-people) / area-of-equality-triangle
) v% r; A- C4 send/ R- j9 U7 a1 }9 @+ ^
to-report area-of-equality-triangle
! F z1 l4 G h9 t report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
( a7 D$ S( A2 j+ l& `4 tend |