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
0 D, ^; v# G3 r+ tglobals
$ E: z2 t$ w" g[
" j* V$ @" U5 A7 t max-grain 5 B3 y3 F* S q4 Q( z
$ k& ] O* N6 G" ]/ V
]4 E( D* ~- o) r: R2 T+ N! S }" m5 @
+ u# K& \0 q4 ^4 N2 `patches-own" t1 g8 \+ ~2 |' I
[4 @. ]% W5 K/ h. @; D2 D# u1 X" b
grain-here
0 |8 X- [! k( J6 c9 W max-grain-here
9 X9 i/ b4 p8 H, u3 ~$ M]
$ h( C* {" _) I% D1 q: K$ e$ m2 T9 _2 Y9 u/ h
turtles-own% @5 ~; C b. Y4 _# V9 [
[5 s- v7 C+ j- J7 w3 ?9 L0 O( m
age
& y- P" q4 O8 ^0 m/ x wealth 6 Q$ @: ?/ F5 y2 ^% {) F# b
life-expectancy 1 ]( q/ ]# t% p# b. L
metabolism
- T# H- Q5 P: w. ]; f+ O vision; `- |% I; i9 Y6 e9 _- U- y8 j
inherited
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7 O) j. e" M" ]6 w& m' |8 e
B) ]0 x. ^; ~5 |to setup4 L5 j! c( b4 ] a
ca
. t( R; O( {6 a( @4 y set max-grain 507 Z0 H$ T, g8 j& w" A& a' H" F# \
setup-patches. o9 k7 y7 b& o. j5 o) v! N" F) O, S
setup-turtles+ o' C& s5 W1 d) r; ~. y+ F& X
setup-plots, A, J% V; j3 d( N8 e: \1 a
update-plots. _( p/ Y5 I% h9 I9 h. s
end
" Z2 }0 Z! W0 N h! j/ z( qto setup-patches
& z; @8 Z1 l0 c* j ask patches
5 y" \: R6 V* q, j: y+ P' y [ set max-grain-here 0' K6 U& l; O* a7 a/ \1 H$ x
if (random-float 100.0) <= percent-best-land8 n7 T$ i, h' B/ _# a: v& m6 {
[ set max-grain-here max-grain
' g: S$ @) \$ O/ j# [: \ set grain-here max-grain-here ] ]
# \. g+ ?& z0 p( g6 @6 z repeat 5! V4 p& f( Y9 d
[ ask patches with [max-grain-here != 0]8 K+ z( ~. [0 a! n" `$ h, t3 }
[ set grain-here max-grain-here ]
3 D" I7 l( y }9 y1 ^; b% l( |2 R: r7 B diffuse grain-here 0.5 ]" c' L3 r: k: o$ h( W
repeat 10
% v! w# E' c6 Z3 w8 [/ o, J, q [ diffuse grain-here 0.5] 9 u5 J% o+ |, C/ g$ t
ask patches
) s4 ?) Z* E" U- k4 u, b& z [ set grain-here floor grain-here 7 f. c$ }" k: L& F2 u7 i) M
set max-grain-here grain-here ( ~' K: n! Q, Z3 b. t
recolor-patch ]4 g) x, O4 r6 k8 \6 I
end
: [/ D7 ~" C/ ]' }' pto recolor-patch 3 q2 ?! U( b6 I6 f) A9 W* n
set pcolor scale-color sky grain-here 0 max-grain
* {9 z1 B; f, p2 Iend: D6 O2 |( m' U" Q9 m* G4 R9 Z
to setup-turtles5 @7 O1 Z+ Q, g5 M9 a* W) [2 O
set-default-shape turtles "person"7 G7 Y* p# Y; K! ^1 R& l- x* z
crt num-people+ l \) G; b8 P* M4 l
[ move-to one-of patches
2 S0 B8 n% p+ A set size 1.5
0 A6 B& b* A0 B set-initial-turtle-vars-age
3 \6 b5 q# f" E0 B' R4 D set-initial-turtle-vars-wealth0 Y9 Y- v: W$ Y+ e9 W
set age random life-expectancy ]
$ |: E4 Y' l4 J! w W9 {1 Z. U recolor-turtles
7 Y/ p/ X- N4 s8 |end* W8 n! [' A Q5 \% |
% r0 r! [6 A: e: B! s3 b" ]
to set-initial-turtle-vars-age9 ^0 I* `$ Q6 q. K# G
let max-wealth max [wealth] of turtles
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ifelse (wealth <= max-wealth / 3)
; ~* R* \5 C: S" e C- [ j. q [ set color red
2 b2 Z( C. @! ~/ m# F set age 00 {; t8 f: w9 O
face one-of neighbors4
# b6 d( z. V! V) ?% e6 n. q set life-expectancy life-expectancy-min +
6 M8 F* i5 A' _2 a) ]" b random life-expectancy-max 5 u% m! O7 K2 B+ X: V* d
set metabolism random 1 + metabolism-low# z" ~. b5 K7 `7 s0 `. i
set wealth metabolism + random 30) B: \ `/ c! y5 P9 |4 K8 Z9 L
set vision 1 + random max-vision
0 M% V( K$ ?! \) d2 [" V set wealth wealth + Wealth-inherited-low ]! k. K) D" d( t5 c# G1 F- }! @
[ ifelse (wealth <= (max-wealth * 2 / 3))8 \ m" p+ s- {2 H5 I
[ set color yellow
" y' c3 N& ~5 l" W+ J) h set age 0
; X4 C/ \9 S' \- ~# t face one-of neighbors4
% ]% u+ e5 p p1 y. ^3 R. N! ~ set life-expectancy life-expectancy-min +* b) i% g+ n) |5 L5 F0 o/ C" r7 o _
random life-expectancy-max + 1/ m" Q7 o% \: g1 w: d
set metabolism 1 + random metabolism-mid9 a7 T/ T0 u" S' S( m" F( c7 k
set wealth metabolism + random 300 E# \( g( l9 ~8 ]" L: _
set vision 3 + random max-vision
6 b! n F) s' a' b4 i6 a% I& x& u3 d set wealth wealth + Wealth-inherited-mid]4 A0 Y' k( D! W2 n
[ set color green 0 V S% m, }$ Z' }! R2 `6 ]+ K
set age 0
! V1 I6 J6 F0 K6 T face one-of neighbors4 # ~+ v) [+ O2 x Q$ ]3 U
set life-expectancy life-expectancy-min +
3 D0 s5 t. _# O random life-expectancy-max + 2
( e' C, ~: J- F1 m set metabolism 2 + random metabolism-up _3 K1 K" G6 ^. E
set wealth metabolism + random 30- Y+ t4 n5 o& P& n0 e( N1 O% ~6 n' _
set vision 3 + random max-vision
4 `" j1 H3 A1 I: S, L. I6 T6 U% S set wealth wealth + Wealth-inherited-up ] ] . h# x- s5 C: ], S* L
* I$ F# O: L. E; F/ t$ kend2 j4 m) C6 u; u) Q3 d$ v( c
to set-initial-turtle-vars-wealth' ^$ y2 }* c9 P/ L! d
let max-wealth max [wealth] of turtles0 c- A- g& G: n" P2 k% Z! @
set age 0
- e$ U; v( E8 [ face one-of neighbors4 & t% i1 L, j* f- W/ p) @
set life-expectancy life-expectancy-min +
2 |, o" ]4 z" J2 c4 i random life-expectancy-max & A5 J2 f P0 h' \0 b& T( O
set metabolism 1 + random metabolism-up1 C; d: p; G$ X5 g3 s: Z% e+ [
set wealth metabolism + random 30" C* J5 d( [" u4 g2 X: R q
set vision 1 + random max-vision # {2 a; k) H9 `0 h/ ~% j' _. l
end
: y! [; m/ m2 W& @to redistribution1 i0 v8 y7 J7 C* y# M s( m
let max-wealth max [wealth] of turtles- R4 L' m6 r" c
let min-wealth min [wealth] of turtles; G6 Y! M* }( m! `, d8 E y4 D+ L. C
if (wealth <= max-wealth / 3)6 b0 @' G, N5 ?, w' P y+ U
[set wealth wealth + Low-income-protection ]0 Q* p. o/ M- P; `1 I |
end
, o0 ~+ t0 @# Z
# F" z" T7 i) R0 e& g& }' Mto recolor-turtles8 C- | a" O" t3 V
let max-wealth max [wealth] of turtles. g+ c5 ]+ K5 q' _, v, u6 y. ^( X
ask turtles, U9 e4 Z* R% S; o
[ ifelse (wealth <= max-wealth / 3)
9 V" ~' E* t. a0 A/ B [ set color red ]
( q; X9 U% O i8 E [ ifelse (wealth <= (max-wealth * 2 / 3))! H$ }5 _" v: T+ a
[ set color yellow ]
: x5 e- a* M: C6 o0 E2 a1 H; Z [ set color green ] ] ]
, Y, W, I: K1 M) s$ P+ \0 w# ^# r ask turtles [ifelse show-wealth?
8 z5 G0 d( v5 e- F$ a [ set label wealth ]
# S; P( i1 m1 B [ set label "" ]]
$ L/ [/ ?8 F0 l! u8 R& v$ _! v6 ]end, b8 {" ~, J+ I& C2 i6 [ y; q7 _' S4 I
( N z. s' ~* d# _7 G! J
to go6 S7 C) t3 A9 j% j
ask turtles9 J: ^* z C& h2 [
[ turn-towards-grain ] ( B& I9 n2 i- r3 v# K) \
harvest: g1 h# [. z6 t4 V. C. p& L
ask turtles
' V8 j) b1 J. M [ move-eat-age-die ]
2 Z, F8 R$ o, U: O recolor-turtles
! B }3 V& N, q. g7 l7 ~% o if ticks mod grain-growth-interval = 0
" i0 T) L0 d, b2 \! S [ ask patches [ grow-grain ] ]
) `) S n6 L. }* h
: H/ d- q- V* y if ticks mod 11 = 0/ _9 i. f* b# ^8 \2 X. ]0 a3 _0 N
[ask turtles
! D1 V* I* }; j8 {+ D [ redistribution ]]8 G: N+ Z$ I# B7 X8 Z# y
if ticks mod 5 = 05 \; A* h/ P* e* h, v5 M) _
[ask turtles" _$ b9 K$ `# ^2 ~8 C
[ visions ]]. A7 s7 U2 g8 `/ S* g! }, J3 f( u
tick
; x p5 h$ d }! ]- Z) b3 K update-plots% M ~, p2 c) u8 ^5 N# c) S, e& T. r
end- a; O, n# K% {( I& {* R8 z
to visions
9 }% `% g1 n( T* i/ ]: K set vision vision + 1 ) p( @$ e2 Y" A' Y1 Q6 i+ H- ?
end( z" C. D* r' u5 H' a9 w
5 r8 d+ i' n. n% K
3 J# D6 h1 K' ^3 _" l. G! r% P0 t" D. f- i7 ~
to turn-towards-grain
1 x ?1 J' d7 [" F! O2 C8 a set heading 06 M% N7 O- p; M& S- o& e
let best-direction 0) ~& v+ N6 ~% V' Y6 {
let best-amount grain-ahead* ^. _7 R8 X, w D9 b9 I3 @
set heading 90
- v# s4 }; D% C* o if (grain-ahead > best-amount)
q4 {3 ?; U1 l' [, V [ set best-direction 90
( U P- s- U* W! a0 f8 n set best-amount grain-ahead ]
5 E7 Y. } x# c$ E; Z set heading 180! @( x" i2 Z1 P) ]7 C' K& |% b
if (grain-ahead > best-amount)
7 I! g% m( S6 _7 x [ set best-direction 1805 b4 i- [& ?, N1 m2 ?/ c8 `
set best-amount grain-ahead ]
: B+ G. Y: L, t2 W5 ^6 X set heading 2705 z9 T8 U- K( `) _
if (grain-ahead > best-amount)8 _4 |/ `3 }/ [) E" h1 `6 N% S
[ set best-direction 270
5 W2 e. j0 `1 D, I2 C; Z; o set best-amount grain-ahead ]
/ m9 c# ^5 w- U2 n set heading best-direction
2 I' c9 z9 @9 |! Mend" s: ]; H4 x T3 ~( k/ H% J; O
* F, A& B+ z9 n& j, z- Z
+ m1 a) L- ~% p& Oto-report grain-ahead , q& B8 z/ t' _7 f) D) K2 L
let total 0' b. b5 `) b4 Q% K
let how-far 1
5 k. X/ q5 O( d! C$ r! t1 c repeat vision- u7 O0 b1 m& t
[ set total total + [grain-here] of patch-ahead how-far
7 U. [1 A: \' D2 K# ?4 x set how-far how-far + 1 ]) x I2 N* u3 g8 @9 u2 v; v/ x
report total
8 o% l" d9 {& M. |8 |/ iend) l3 r; G2 c4 r1 W
' |! G/ @' k/ r' N( n5 w
to grow-grain
- h2 z; D8 A6 Z2 h9 X if (grain-here < max-grain-here)
$ d# \6 Y3 s2 }/ U! O [ set grain-here grain-here + num-grain-grown! T8 k. [, H& z0 }) d% n, v
if (grain-here > max-grain-here) ; s8 h4 `8 K& E( v/ J9 s/ k* {
[ set grain-here max-grain-here ]6 g1 z) F4 e2 P
recolor-patch ]
- H+ N5 L4 R; N/ x8 q5 Zend
! ]; Q# L' k$ u+ s: U( ito harvest
0 ^+ I" ?- f9 a3 f5 ~; X" y( n ask turtles
4 N" t6 b6 H( U; m, O [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
; @; H3 h2 c; V! Z. ` ask turtles
% E4 P" i D8 D3 ]; G0 O [ set grain-here 0. \* [. [0 L+ U8 u/ X" h6 C. c
recolor-patch ]
% \) c& L; p! i8 {* {1 a4 Q% { ' r: H4 a' s/ u$ h" x
end% J6 X% U/ f( {! e
& S: X- T* ]& @! [/ Y6 K( }
to move-eat-age-die 9 n7 S" f) h4 y' H J
fd 1
* h. w3 j+ }% L" M7 ~ set wealth (wealth - metabolism); Y' U7 d4 R5 }- @; R ]' a
set age (age + 1)0 g8 \8 G- p3 ]- ^# T
if (age >= life-expectancy). ^) B" F, W1 H) C
[ set-initial-turtle-vars-age ]
" t* @! ^% B' y if (wealth < 0)
6 C1 ~% d7 O4 {$ _; Y# y [ set-initial-turtle-vars-wealth ]1 ^5 _8 U' Y) ?( {7 e/ ^. ?/ N
( d/ @2 Y( i& w% M8 Q9 c7 T8 v
end) q% U* e$ r s, s
1 d: p" W. S1 @1 {* D9 O& x0 Y/ k
4 N6 Y) g6 r5 J" k$ q, t, U
to setup-plots
3 z1 p) }4 x2 v6 o9 h set-current-plot "Class Plot"$ {7 ?4 ~# |5 n0 {$ U
set-plot-y-range 0 num-people4 P5 H7 j3 I3 E. q, i
set-current-plot "Class Histogram"
" U B& F+ C- b" c+ z4 Q+ ~0 e set-plot-y-range 0 num-people4 E5 ~1 x2 C7 b" G, X# m
end& `1 q7 R% m# Z4 X3 c# q- G
8 p8 b7 t9 W o: Lto update-plots5 u7 s: ^7 ~. B! |& s; }
update-class-plot
8 M& ^ _ y- v( \; b7 c6 B update-class-histogram
" u, j( N5 E- B% \ ~) w" j5 P; e! [ update-lorenz-and-gini-plots
3 V+ V3 e7 Y5 Yend
; y' @8 ^2 A8 v- p3 i8 N4 d; a) R% \$ \
to update-class-plot4 X$ p, ^1 S7 m c
set-current-plot "Class Plot"
) n; ?' C. J! r; O set-current-plot-pen "low"
. M( r5 a5 Z" c plot count turtles with [color = red] I5 w0 O1 f1 U7 ^( ?+ V" `
set-current-plot-pen "mid"
( a( x' r" Z3 V8 T' G( Y. G9 h plot count turtles with [color = yellow]
* X4 S2 M) Z. M9 H! ~1 e# [7 r set-current-plot-pen "up"& T/ u4 H3 D* b- D: ^) N
plot count turtles with [color = green]' h( H' h5 v- }
end
0 k+ J3 M) x# d1 x5 _( i
) f r E# m* R- rto update-class-histogram
5 x/ |2 L/ q1 n. S! i set-current-plot "Class Histogram"
. ?' W% j% I3 p$ s plot-pen-reset) d$ y; T% z0 K [
set-plot-pen-color red
, [6 { y% l& Q/ a. t+ }; g# x plot count turtles with [color = red]
6 ]* L. a! ?/ B# y3 k# C set-plot-pen-color yellow. u; P3 X6 F% y$ \% w* h
plot count turtles with [color = yellow]' [ ]# {! r+ e9 Y0 @; N
set-plot-pen-color green
$ N0 H- S( l1 `/ a1 J! l! `8 q plot count turtles with [color = green]6 W' b# F! H. F5 L6 v
end
5 o# ]/ ]$ h) h5 t2 C1 y, P- q6 {to update-lorenz-and-gini-plots6 N% Y8 ]" m! i5 l- @
set-current-plot "Lorenz Curve"
) E+ I+ t: h) ?0 t% ~4 s clear-plot; D! _: X, S/ h
+ d4 P$ n% [7 k5 q4 R! y. s set-current-plot-pen "equal"
2 P& c1 g& T9 _6 }1 i$ M plot 0) Y& W/ p2 h+ F$ r% _. c
plot 100) S3 Z# [1 S$ K; k. q, {
7 a2 p. ~( g" N- w8 {
set-current-plot-pen "lorenz"
8 x' ~, t- w7 l# x set-plot-pen-interval 100 / num-people' l0 e" P1 }4 @ u/ v1 \1 B9 z2 v+ c
plot 0
" g5 `9 R; S! s& h- _
9 n l4 B J) u0 F9 c) I- X let sorted-wealths sort [wealth] of turtles F5 s2 Z$ U7 A( q1 Q) Z
let total-wealth sum sorted-wealths) P( X& x" X- H$ j; S
let wealth-sum-so-far 01 y/ l& ]: S+ I- T) i
let index 0
* b! |, g- |4 R% K' W4 L5 P let gini-index-reserve 0
8 L7 Y. U) q0 \5 K9 E; m
+ f' W+ I/ v& I. R, \ g1 \ repeat num-people [
/ {7 b% h& E/ \6 z# S4 n( _ set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)" P/ @( p% x, h% T1 ?' H
plot (wealth-sum-so-far / total-wealth) * 100
& e& p+ b4 n/ P5 A, r set index (index + 1)
( z# {- N# X6 X' n set gini-index-reserve! k9 m/ w) C# N+ j' w
gini-index-reserve +2 a7 O5 |6 e/ c9 H& h
(index / num-people) -) q: ?3 ]% u) a2 ?, |* _
(wealth-sum-so-far / total-wealth)2 @% F+ J1 t( z! D& l/ V
]
! B6 k+ J0 j+ u5 g: l% s [- p
7 b, `6 V' C0 f" I# d( U) k set-current-plot "Gini-Index v. Time"
+ r0 Z( z! {, o( _% z plot (gini-index-reserve / num-people) / area-of-equality-triangle
0 H0 Z" r& U6 s0 D% F& |; {) Rend, q: y* [" O7 f( |
to-report area-of-equality-triangle, j q7 o2 i8 [2 D. e) R
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)+ G% h6 V! q( n+ l6 F% z
end |