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 O1 M. E* W- Uglobals R% J- Y* F! y5 o; R3 d
[1 z% `' s) S+ z, J5 S
max-grain
9 }+ \# f9 w+ h n3 L6 K0 r$ K v% y. N0 _) l Y
]
9 H0 @1 w3 Y+ S: F/ h9 A: C9 L' _
patches-own
6 @( A. p: Q3 J[
) ~, y8 t7 n5 L- v grain-here
& L; @( m2 Q! B Y6 C P, T max-grain-here ) V( R6 z6 ^. E. h$ ~& A3 c2 g7 }
]
, K8 \" G: g+ F4 ?( P: r2 K8 i( @! {! H7 f
turtles-own- F! w, ?7 k" P; |) X- O. M# L. w& n
[% L7 I, g8 ^3 e1 Y" L' J
age
- R6 }( k& }! V# n* s9 C' N wealth ! z) v: G1 I% O9 S/ V
life-expectancy
! k, W7 Y- R1 H9 ^4 c0 [ metabolism
+ Q* |& M& A1 B! M; B4 [ vision' U Z5 L: z4 c* w
inherited
7 ~! H( ?/ n) C2 B- \4 Q+ m]9 W% {3 X" c" I9 u; f6 H9 p* j
# T( l8 _7 N* a: }( ]! X
/ `, G1 h8 T" O" r4 X7 t3 S
to setup8 F# D; R# R6 s# s, D
ca
/ ~, f5 W: E1 f+ O, A. t set max-grain 50( H; C: G0 }* L" r% `) c
setup-patches" _3 h! I G! ^0 c5 o$ Y
setup-turtles; {& k) m) ^* m9 n! h( X: _
setup-plots w3 L- b) @4 |* d
update-plots7 b; k `) w5 }9 n$ ]7 D
end
: _# ~0 H7 H! S/ U4 M0 W$ Bto setup-patches
" e2 U( |1 z& z3 O' ?& r ask patches& Z( T m7 v- {
[ set max-grain-here 0
: W5 P8 Y% c$ _! n- u4 M, e if (random-float 100.0) <= percent-best-land6 W' X6 c- ~; p( R: o( I2 M. w; {
[ set max-grain-here max-grain! y9 r+ ~' J) e' e) ^: p& W
set grain-here max-grain-here ] ]2 h8 ^" y$ K2 D' d. Y0 ~: M' o
repeat 5
4 V1 s- J* c4 N) T) U [ ask patches with [max-grain-here != 0]" i4 D! l% ]" F% C4 D) [
[ set grain-here max-grain-here ]5 F3 L3 ~+ k* i1 V
diffuse grain-here 0.5 ]
6 U5 Q+ Z% E% Z) ^2 @& p! b5 L repeat 10+ ~! g! ]( j" L) E$ L q5 t
[ diffuse grain-here 0.5] ' H9 C2 \/ B U: p8 d2 |/ U' o0 k
ask patches
3 K2 e, `$ R: |& B& a9 j [ set grain-here floor grain-here ; o; Z& n5 Z2 R4 g7 k( X, |" u
set max-grain-here grain-here
% z- Z( o+ O% p' x recolor-patch ], d" }# s! t% I2 L- }+ G9 C
end
1 O, |& ]* w; u' Uto recolor-patch
6 z1 m+ S$ W, D% H7 y; t8 ] set pcolor scale-color sky grain-here 0 max-grain
% j& A' z8 f; q5 _5 iend3 ^# n" x- \ m- `
to setup-turtles
: ~' C* G e {5 m' L set-default-shape turtles "person"- o& E9 n, M+ k) C
crt num-people0 b; y \' @7 d% y- W
[ move-to one-of patches
3 ~8 g1 R: U* t/ M! ^. b1 K set size 1.5 6 w6 K" p J3 L: l& o
set-initial-turtle-vars-age
' X5 ?2 Z8 r6 j( D7 l. ? set-initial-turtle-vars-wealth
1 w2 l% P2 _2 X* i0 ]/ `7 ` set age random life-expectancy ]+ J. W: ~! g% x5 g, I' P
recolor-turtles
; }: m9 i8 E$ s6 B2 G+ s$ Lend
- y6 D7 Y! v+ |+ m+ c' Y
9 v1 {( ]6 M# c6 X, Wto set-initial-turtle-vars-age+ c0 n. L4 v( }- ]7 J5 X
let max-wealth max [wealth] of turtles
& \" R% J$ F& j* f
8 F- \! A- g3 J ifelse (wealth <= max-wealth / 3)& e/ ]) Q8 ]( L2 `3 d6 @
[ set color red
. h3 L! @- z8 W# z# Z" j, `: j set age 0
9 v; j4 G3 p$ y: P' O7 l face one-of neighbors4
8 P( A' ]: H; A$ ], g7 b set life-expectancy life-expectancy-min +) \% i9 G2 X: B J8 x F
random life-expectancy-max
" Z! `( E u% E6 z5 r$ c0 `4 ]+ _ set metabolism random 1 + metabolism-low
# e- z6 F& w( W8 t/ _ set wealth metabolism + random 30# T& W0 D8 d. R) V& _
set vision 1 + random max-vision
2 t* S' n' ]. ~# t6 U set wealth wealth + Wealth-inherited-low ]9 |0 C1 q: {) K# p- }
[ ifelse (wealth <= (max-wealth * 2 / 3))$ F; Z" p6 d. q
[ set color yellow 0 q' A% `3 K! Q! F) Z
set age 0
9 w: c' r) j; u! ~9 l0 C face one-of neighbors4
0 |- ?& m" @- I5 R4 z, K set life-expectancy life-expectancy-min +% S7 r1 u+ |# x- `" s$ H
random life-expectancy-max + 1
0 X, H3 O1 [& U' w; s set metabolism 1 + random metabolism-mid
+ Z4 ]: U' _* H1 v1 j5 W4 D set wealth metabolism + random 300 @) r9 N7 I; O% d
set vision 3 + random max-vision
) r2 F3 Z/ v: w8 [/ ~! c set wealth wealth + Wealth-inherited-mid]
& |( @& l9 ?4 W9 r [ set color green
2 s- _' u/ R3 W! C6 Y$ ]) R set age 00 w0 T5 ~8 \! x) d& @; @
face one-of neighbors4 % c* c+ Z) {+ Y, W. r# {
set life-expectancy life-expectancy-min +
. x* a: k- W' t1 ^ random life-expectancy-max + 28 H" u, P9 p2 h2 C7 m
set metabolism 2 + random metabolism-up1 K- M1 [: ?; w4 h" L
set wealth metabolism + random 30' k3 ^& ~4 a0 W% s3 }2 B1 {
set vision 3 + random max-vision
* R1 z, W0 Q# Y- @6 u2 T set wealth wealth + Wealth-inherited-up ] ]
7 `# i, r7 P: u* q3 J$ g
! R4 \8 o; q! N2 Z9 M- Wend0 H* }" o" k! X+ h w X
to set-initial-turtle-vars-wealth
+ H* c0 G9 k" [2 _. a let max-wealth max [wealth] of turtles
7 h- N: j7 i e5 h$ L2 G2 \ R set age 0
/ I" q( Y& R- K face one-of neighbors4
! P* P& v6 `" l set life-expectancy life-expectancy-min +
4 x" N6 c; m6 t7 Y1 m random life-expectancy-max
* v) R* c) a% X1 e* | set metabolism 1 + random metabolism-up
9 f" D! [* p) W8 e- w7 z set wealth metabolism + random 30
& x) C8 [. n1 M i: k set vision 1 + random max-vision 7 R" h6 G- d1 s5 w' }
end0 v6 K& ~0 k s; W2 b
to redistribution; S& c4 o& |1 B/ h! r, e/ ^7 h
let max-wealth max [wealth] of turtles
4 j# y: m- e! z" C7 j9 _) p1 Nlet min-wealth min [wealth] of turtles5 J, S4 d1 \- Z. a7 u+ u* ]
if (wealth <= max-wealth / 3)
% `1 V7 C9 e8 ` [set wealth wealth + Low-income-protection ]- f- y6 ^# v( o0 @ }
end
8 e; G) m$ n- H0 b: [0 r& I9 _ P) ~, m& B3 {$ ^+ k
to recolor-turtles
) W9 H T- L3 @$ V1 G& n$ B+ v7 M let max-wealth max [wealth] of turtles
, e# U. e3 }, B1 d# |; W ask turtles
, w9 X0 K3 x {8 c [ ifelse (wealth <= max-wealth / 3)9 x& b( L) h- v4 P9 e
[ set color red ]
2 s: B Q2 q7 o# {( X' H; ]( P [ ifelse (wealth <= (max-wealth * 2 / 3))/ H9 X( S1 b: V. l- \% v1 R/ c1 u4 Z
[ set color yellow ]
, _, g9 T& G4 D. I9 n) ` [ set color green ] ] ]4 s0 n' v, w0 b0 S3 @, x) _
ask turtles [ifelse show-wealth?
* `+ q+ |' g4 p- k ^, K2 e [ set label wealth ]3 Y' W' [8 j. K, Q- x/ ]
[ set label "" ]]9 H" L" f, L' i$ X: Z
end
" g; Y$ M; U' L, y" e0 | D
1 e7 B0 {6 [4 B1 u4 u. z' eto go
2 _: O1 I4 G0 b ask turtles
. h6 v# M& y) H+ q3 v/ M4 C) V [ turn-towards-grain ]
8 r9 G+ l/ U% E0 h; a) W harvest0 W, j, ~* @2 p/ ]+ G
ask turtles0 M0 I4 k# N9 T) l) C1 ^
[ move-eat-age-die ]+ D& K2 L& V, t
recolor-turtles: t' ?% z7 y; M8 V% N7 T
if ticks mod grain-growth-interval = 0
. ]( O- j( j5 H [ ask patches [ grow-grain ] ]: L T. n% E& B& t6 o) r1 c
$ x/ E) k, X2 u9 B7 W
if ticks mod 11 = 06 I: Q! ~4 p; }5 y$ E( C
[ask turtles
( N/ B/ b' ~7 k$ a+ J [ redistribution ]]
0 t& d* |' ^1 e7 u if ticks mod 5 = 0/ \5 b5 D' W, t; H( l, P7 z7 i9 Q1 `
[ask turtles V4 [. s3 W- o0 j+ ]2 K* H; }
[ visions ]]
" |" V- p+ c6 B) f" _8 f tick
0 Y: _7 M3 k( a& D: k update-plots
, A% M2 F" _6 [/ l; U7 [end
+ {4 j- z5 @. R' F% Kto visions
- |" f; O( D1 T. T set vision vision + 1
+ k+ [# z7 d _+ R- Eend( v& W! E5 S* A9 w
) i; C8 U& Y9 R% Z! g# j1 l/ m% r8 ~1 o J" I/ Z: E+ t! _2 m
) P3 v l9 a$ p; B" o0 S- Zto turn-towards-grain
& M' I: f5 h$ V$ ~! \) L set heading 07 w! I% R* Q- \" `) D: ~, s G
let best-direction 07 c) Z( o% a$ n3 y% F( ?4 u4 j
let best-amount grain-ahead* e5 O8 t: i0 F
set heading 90
: G' c" B2 r5 O5 `3 x' W3 P' l* O if (grain-ahead > best-amount); S0 d Z* v" H' j
[ set best-direction 906 B) v0 ~) U( I& G/ ?1 Q1 k! G* X
set best-amount grain-ahead ], v+ d8 z5 P" S% ]7 a7 w) J
set heading 180% [5 l8 f/ |3 K7 f" C5 z7 a( Z
if (grain-ahead > best-amount)3 C2 V2 c& \/ f& A' j
[ set best-direction 180' x) y) c2 T4 }2 |0 ^8 I
set best-amount grain-ahead ]. l0 p' t4 S( g E8 {0 [( W# s
set heading 270
. K- W) H- D$ t/ Z o. \# x5 j if (grain-ahead > best-amount)
' G% h; f( ~+ v$ _4 q$ P) k7 v [ set best-direction 270+ p+ A3 q1 [( l
set best-amount grain-ahead ]
7 V) k' t: B4 j set heading best-direction! R; I6 b' `# @, A
end
: w7 j: M! q- O' G) D
( r5 W0 d+ [& d; d' q7 p
5 n8 E) k6 \: I* s2 ]to-report grain-ahead & v9 g$ Q9 o5 p( U( E
let total 0
I, C9 v7 d, i$ g let how-far 10 I% P9 V+ _5 F/ ~" ^
repeat vision
# @- O; ?- R2 S3 N [ set total total + [grain-here] of patch-ahead how-far
' S0 p3 s1 }) O' V7 X8 `+ Z set how-far how-far + 1 ]2 l, p$ b0 R1 E" Q" N) e7 ~
report total! e K$ k: B5 s
end
- \8 i- E2 E5 V$ R Q6 i- X2 k% W0 G$ W* s: C9 s' y. U' J
to grow-grain 2 R' }9 L2 y- G. e( `) g
if (grain-here < max-grain-here)
3 P" i O( B) }& o# G& z4 o2 C. h3 u [ set grain-here grain-here + num-grain-grown
2 z/ i# w1 h3 ^6 t8 F+ V* l if (grain-here > max-grain-here)
7 M& j; _4 a# n6 O- O [ set grain-here max-grain-here ]/ T0 L/ z4 h. v1 w9 W$ ^
recolor-patch ]! d3 G6 e, h! T2 @2 q
end
3 O& a& I T) h9 m: U7 L$ Hto harvest% v7 V0 H# y# `/ @
ask turtles
^! H& E% ~' k; ]1 p' A# ] [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
: E. {+ N% S& f3 X3 ]0 J; T) j1 L7 ` ask turtles6 I+ m7 ^% R8 L. _. i
[ set grain-here 0
+ q3 i4 }- N; R2 r+ y$ G) C recolor-patch ]
5 A" g9 \$ l) U 9 F- I5 m m- z: q5 `
end
8 {5 I6 Y6 p# R7 s5 C. P" L0 b' n" X; ?6 N. D- a& y
to move-eat-age-die ! f @# ~. |, J1 S; }
fd 1
! P: D" w7 j9 _ l set wealth (wealth - metabolism). e5 @# j) [7 J* `
set age (age + 1)
_2 J2 b9 @% ], K8 e/ }. m" g if (age >= life-expectancy)
9 _" n g, W+ L1 t/ ?+ [# j [ set-initial-turtle-vars-age ]
, D7 s' e2 B6 m6 x if (wealth < 0)
9 I+ N' v* H- u2 l0 D [ set-initial-turtle-vars-wealth ]
2 E" ~0 g; j& u" u1 b
0 Z' I s! N$ E% y% \end/ y2 D# o$ }* }' J
. H5 v4 I' J& N4 u9 c: ~5 t
- D2 B2 u! Q, o; H
to setup-plots
$ O* y; d; k. _8 \8 h+ j' Y set-current-plot "Class Plot"
1 M, t5 |+ [7 @4 ?5 F$ B set-plot-y-range 0 num-people
1 ]. g& m6 N! y/ L set-current-plot "Class Histogram"
& C% g3 Q# W% \5 ^/ p- C set-plot-y-range 0 num-people I. Q7 F( v( |3 }
end
- m9 A, n' e& [/ O, N; e. z
! o5 @* f* ^& L8 }2 ?& R: dto update-plots% T I( s4 @; R Z R! Q8 \
update-class-plot. d- j# E( S7 V9 R2 O0 F! H
update-class-histogram
1 T1 O9 [) x( g& M' [$ M update-lorenz-and-gini-plots* m) j' g$ Y3 [ q3 Y
end4 l1 r% o* ]' _6 k
# K; ]: g4 }( n' r( t* Oto update-class-plot- P* }0 ?. }+ t) o: T
set-current-plot "Class Plot"' {" M1 f. E! ]' j
set-current-plot-pen "low"
9 t5 t1 o, E1 `$ j; D% \ plot count turtles with [color = red]# f6 K, O0 Q; V& M$ D" I7 p& F
set-current-plot-pen "mid", d/ J, x9 |$ Q# N# g; h( ]
plot count turtles with [color = yellow]
0 v* y9 Q5 {! ^ [+ I, M set-current-plot-pen "up"3 V4 X3 O! ]$ ?1 q) k
plot count turtles with [color = green]% w0 g/ T8 s6 s% J5 E1 r
end
4 g5 v/ I7 k0 u- ?& I" F [6 w. V' _: A2 {4 v% C5 y: p
to update-class-histogram
" _ D7 m9 U Y: u set-current-plot "Class Histogram"
2 ]3 u5 {8 W0 P3 W plot-pen-reset
8 @& R7 C4 K% j2 p* u4 t set-plot-pen-color red7 G x X- }# h* F
plot count turtles with [color = red]; b. b" k! c# d" y8 O
set-plot-pen-color yellow: q6 m, Y+ z% t) S2 u
plot count turtles with [color = yellow]
. S0 I2 I" j6 b0 w. W6 R3 b# P4 E set-plot-pen-color green2 V/ v! C) m& I9 ?- q! T" Y
plot count turtles with [color = green]
+ a6 p4 |4 h7 M+ @- Iend
; R5 ]5 J/ v+ e/ K( s1 \to update-lorenz-and-gini-plots# N4 W" S* Z5 l9 L! S
set-current-plot "Lorenz Curve"7 }6 q. a u) Z; o/ ~
clear-plot
2 c! f: E1 E% y) s, l) ^
) T5 v) w5 A6 K2 V set-current-plot-pen "equal"
6 C2 F; ]/ U' ~ plot 0! O+ B- S5 |( j+ ?- O% \: L: N* i
plot 100
|% P% Q7 Y, l6 {
8 c: k, D* z% i: G; d2 ]! {! u set-current-plot-pen "lorenz"0 p$ Q+ G( y) J, j W C
set-plot-pen-interval 100 / num-people
7 A3 n# ^ N0 r: L& }( C plot 0
1 J A# Y" ?( \, J3 G2 B. z
" B6 T) D- b8 R. g" j/ F6 L1 | let sorted-wealths sort [wealth] of turtles$ w' v- _+ o, s' k- [+ ]
let total-wealth sum sorted-wealths) s7 D% {- ~& P: S8 \
let wealth-sum-so-far 0
' P4 J( v O" ?" ^ let index 0# Z/ W/ B+ f( Y: i
let gini-index-reserve 0
" V$ G/ S$ v/ h
# A& B! C2 L& [# v# \ repeat num-people [
; T7 {& z7 Q0 ~# z+ @# H set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
6 d9 x1 C/ z2 H- F+ D plot (wealth-sum-so-far / total-wealth) * 100
$ w8 N, F7 V+ L! H5 n, L set index (index + 1)8 ^6 h9 W- r( a. P1 V
set gini-index-reserve
7 v1 r1 K7 r: _& A gini-index-reserve +
* b1 R6 B( Z4 F6 R6 q, X (index / num-people) -
. W' u+ _( b" W: V (wealth-sum-so-far / total-wealth)
9 H: k6 o/ _" U3 F s$ Z ]2 T; u0 r7 ~3 W+ G/ G1 f" B
% b* c. v* ~) z
set-current-plot "Gini-Index v. Time"+ \( K; r, J; V5 B
plot (gini-index-reserve / num-people) / area-of-equality-triangle; Q! E7 ^/ `( T8 V1 Y3 Q
end
) t) G4 n+ N# L/ Y7 n; Xto-report area-of-equality-triangle) `8 [; \; c0 v/ F( t
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)3 U! w2 ^# J2 y! C
end |