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/ ]! e/ X e% r6 ^% E t' i5 E
globals
! _9 S& ^5 t; c3 f9 n[
: Y) K- }% Z- K; a; z max-grain
. d- m2 {# A' D7 C: Y8 b' c Z) B6 S5 @
]7 w! Q# o' W/ f1 R+ _/ {' U9 B
- l6 ?7 W4 I* y2 c7 Zpatches-own) x9 i% B2 q( b4 ]! Q
[
; ?! x! S% e6 A grain-here
4 `' l7 ]8 i! y1 P9 x/ H- h max-grain-here
/ S, O O) M5 W1 m! F]2 b- j" R9 S K t" p
: F6 W% n5 V. tturtles-own+ w; s7 ^0 z+ u3 o) P* ?9 h: ^* r7 G
[
, W0 N7 U- y, u8 w+ d( b age
# F3 L; k+ n! j( r; s: W wealth
6 V2 T" ~: W! O$ b, v life-expectancy & X& I2 P9 e/ [
metabolism
7 K, m, c6 W O1 B$ Y: F7 b vision0 r+ g" A% V2 H
inherited
* t9 M* W! V! t l% Q]! }& m* [1 h; b) J2 w; n
5 u$ E( e/ n1 I! [& D0 F
2 a# E1 e7 o5 j6 M% Vto setup) E, g R! q* ?$ g
ca. Y" S' o- H( d$ D. m7 q
set max-grain 50. @) s4 Q$ q* e8 y8 \
setup-patches
/ x! c+ g$ u8 x' w0 A0 _$ h setup-turtles5 r5 U- a2 X* O" b
setup-plots
2 f- J6 W8 {: ^5 b1 g update-plots
1 @0 u/ J( k$ {, ^1 Hend- A0 H1 r. V o4 a# `
to setup-patches4 [. U' y/ e6 K: u0 O
ask patches
9 a# [7 b( T0 q8 z [ set max-grain-here 0' j7 C% y0 P/ E' f1 B
if (random-float 100.0) <= percent-best-land
, n5 v; `5 P1 K) c- B% |9 [' U [ set max-grain-here max-grain
: U1 [0 b' L4 A* b# R8 c5 Q set grain-here max-grain-here ] ]* y4 I) @4 A. [; B2 l- V6 P
repeat 5
# h' L1 M9 Z+ u9 Z8 d, R8 H [ ask patches with [max-grain-here != 0]; I8 E. q0 }) D
[ set grain-here max-grain-here ]
9 Z* s$ D% J: L% |% T diffuse grain-here 0.5 ]7 n1 t) ?: l' J/ g% i8 K
repeat 10
* ?/ F* M" U1 R2 i3 G [ diffuse grain-here 0.5]
; e' l) A; C' D ask patches
! ~5 C* D" K( u' ?7 M [ set grain-here floor grain-here
* r5 _1 O) s' I) F" u set max-grain-here grain-here
% \9 ~! Q% w. S' ]5 L Y4 j; B! Y1 L recolor-patch ]1 U. V6 h' F& t6 F0 h* } e
end5 w! ?- Q; p$ h% y
to recolor-patch 1 S' I% j( F, g2 Q# V1 m
set pcolor scale-color sky grain-here 0 max-grain
. \9 n/ }* Y" m% ]4 t) A7 ?end6 e x4 }# p: c* |! N& n% G3 d' ?
to setup-turtles4 ~9 P' }9 ] Q8 `0 z
set-default-shape turtles "person"
; T2 ]* c1 i" z+ Q8 O8 W crt num-people
1 T0 m0 f9 |+ n/ U8 Z' A) q [ move-to one-of patches
+ D- A+ W- Y5 w+ M! \ set size 1.5 5 Z9 `# j/ \( f8 D
set-initial-turtle-vars-age7 I0 m" }! C! V( `9 E( J9 I
set-initial-turtle-vars-wealth" R# v9 L9 j4 Y, s
set age random life-expectancy ]
' E9 ?! X2 p% J8 m recolor-turtles, H, {; j" Q. X0 T. V! ]6 n
end
5 @# t6 C1 I. W7 C9 m
/ N k; k5 }& I( V* T5 Qto set-initial-turtle-vars-age
1 v. w. V V0 f2 m- @8 V let max-wealth max [wealth] of turtles9 b- j8 I4 O+ F) q6 m! t/ y
3 e8 q+ N( U3 s! S! O2 Q( e' k ifelse (wealth <= max-wealth / 3)8 V1 n- Y( d+ h" B5 H+ z& U/ P d
[ set color red ( k0 ]" r& ? \. i
set age 09 [& \8 n; L! p7 ^& d0 u
face one-of neighbors4
2 ]8 T/ A9 o( C+ O! Z9 F/ g set life-expectancy life-expectancy-min +
: S" [8 w' ^- L2 ^ random life-expectancy-max - Y' k! s) {, J- Y) q4 Q5 A# h
set metabolism random 1 + metabolism-low) A# z4 m0 X5 U V* f
set wealth metabolism + random 30
6 S- ?* w) U- j+ n6 L4 Q3 }% d set vision 1 + random max-vision
0 {- y* M; M: k6 @; N& ^$ r* f& K7 D set wealth wealth + Wealth-inherited-low ]
9 d. k' ~( J. U5 _! C: `, G8 W; g [ ifelse (wealth <= (max-wealth * 2 / 3))
; }5 o8 x" A! h3 f$ L/ ? [ set color yellow : ~, a' K$ k; Q+ a- H r4 ?
set age 0
; @0 j, M8 j) h" _6 L face one-of neighbors4 0 ?$ a7 Y% j8 M) D; w- Z
set life-expectancy life-expectancy-min +
* P* G6 I [9 U: b1 ]5 d* P6 a random life-expectancy-max + 1
: J( v! K2 Z* I8 ]' } set metabolism 1 + random metabolism-mid1 |0 Z W! R' e" v2 W
set wealth metabolism + random 30
7 ^8 M( g3 S9 [1 X: c set vision 3 + random max-vision! e3 c3 c' ]4 w" e/ p# X, k# `
set wealth wealth + Wealth-inherited-mid]
& J3 H) ]7 t3 R- d7 S! t [ set color green % e( o, b9 h" s% e9 y7 W
set age 0
$ A, x( h1 E" C0 Y0 l W* p face one-of neighbors4
- k8 e2 q$ y+ N. Q! U set life-expectancy life-expectancy-min +( l6 Z0 H/ @- K8 I
random life-expectancy-max + 2
6 e6 P5 S3 \+ j1 E& M set metabolism 2 + random metabolism-up; K/ `. ?: s9 a5 G
set wealth metabolism + random 30, b2 @+ @- [2 g: Z- _* H2 E
set vision 3 + random max-vision' {5 r% p z, D: Z3 Z( |% n& F1 {
set wealth wealth + Wealth-inherited-up ] ]
' P' a' q" q4 P9 P2 O4 }, \! m
) I3 H4 `. j& Xend
* f0 g8 V6 B- m: Rto set-initial-turtle-vars-wealth# \7 o7 d' o: M5 v, ^& j
let max-wealth max [wealth] of turtles
3 @' B) g: R1 e- ~2 }5 \/ I# |* H$ ^0 p set age 04 R3 U2 k% o$ N- X7 c3 `% L3 R
face one-of neighbors4 : R" f6 `% V" H5 i+ L
set life-expectancy life-expectancy-min +8 l2 h/ V4 \ D( o v
random life-expectancy-max
4 w8 K; s t: [3 j( n# l set metabolism 1 + random metabolism-up
! z3 s7 e! c4 j% B7 {* F' b set wealth metabolism + random 30
) K& }1 e! ?* Y1 M0 q( n4 s0 R set vision 1 + random max-vision
* ?1 _# A* H$ Z# |end' Z) a. ] m( l1 C8 R
to redistribution& Z1 g e+ q3 W1 G* P$ i+ c+ K
let max-wealth max [wealth] of turtles
* Y+ E. k! S' @# J& c% a- Plet min-wealth min [wealth] of turtles( j" W$ c- u' b8 c% U; z+ E
if (wealth <= max-wealth / 3)
6 Y* c, J7 i: F3 @0 _* f- S [set wealth wealth + Low-income-protection ]& x/ f# ` [) B* I" @% A
end& Z; k# E7 g2 P" ]0 n. i; M+ u. n
. J7 w( g1 Q0 ` E4 wto recolor-turtles
; V1 y/ P$ q4 ^- z* n% u4 h9 Q( D let max-wealth max [wealth] of turtles Z5 w# U$ i _/ \: I* l
ask turtles
% T$ f$ j1 W2 q2 b4 A. t; ], H [ ifelse (wealth <= max-wealth / 3)8 [' y+ X2 ]0 j i- h
[ set color red ]
0 A( x8 h' y- d( r3 |2 t1 ?/ ^# w [ ifelse (wealth <= (max-wealth * 2 / 3))
. e, Q* E: e$ I3 y A4 _2 G [ set color yellow ]
0 U' }' c$ e# T$ |6 Z1 s [ set color green ] ] ]
# R- M+ b5 Y# d0 ^- n5 X# a ask turtles [ifelse show-wealth?8 ]9 L0 a' ]: {- S
[ set label wealth ]
# W r2 A3 U& M( B& A j- \ [ set label "" ]]
. r8 O. `* d! N" f4 W/ iend
7 Y) R/ j1 Z0 A' n, D% ]5 m0 U+ z7 X U3 {/ ^ C Z ?
to go; L4 ]* O: P7 [8 E6 R
ask turtles. B8 ~7 f0 a, R! h5 J D5 Y% L
[ turn-towards-grain ]
& E" s4 `( s7 k: m9 B1 n harvest( _* S/ o- C) }2 F) ^6 y/ c0 c/ h
ask turtles
2 x8 f' j( ]& I6 w, | [ move-eat-age-die ]( X4 U, o; G8 [1 w# c( a
recolor-turtles
5 R" X" R) _5 A7 j if ticks mod grain-growth-interval = 0
4 p% o5 d5 J3 x) A, K [ ask patches [ grow-grain ] ] D0 P0 r. v5 f
/ f' C# X$ }6 G1 R' u' j8 J
if ticks mod 11 = 0
6 y4 O, Y; O% P9 P [ask turtles+ K1 X9 ~. ]7 J) n( X8 N5 c
[ redistribution ]]
1 W- e4 ]' f& R if ticks mod 5 = 0
' ~/ a6 f2 `, A [ask turtles
" d, c5 e. |6 v, `' |" |- D: s [ visions ]]% @+ B% r% x6 X4 U8 V/ ]; |/ P0 H
tick
$ Y K; \ v3 U update-plots w; @+ M- A. ]. `1 i! v, G. l
end
5 C! K! J- N4 U& k" L, z% rto visions8 o% H7 I" b# X9 K7 p5 r( ~2 n
set vision vision + 1 9 _( ~8 w# R" A* V1 X4 [0 f0 S: t1 t! o
end
. S* Y; x! a- `3 h5 I7 Z$ k, }! m5 ^% m/ |, f( P% W* O3 c1 d
8 ?+ U- `8 ~5 [) N
/ ?# y% \, G! c4 Jto turn-towards-grain
9 l T4 S" L6 S9 { set heading 07 ]/ m1 p, G* [2 J3 h- z/ o6 M3 i) \
let best-direction 0
' d, c J) r- U. ~* u let best-amount grain-ahead
! M# X3 b9 t& s set heading 90" J5 X8 Y9 n$ |& K5 N7 f
if (grain-ahead > best-amount)
& J( F+ o7 ^- L/ }4 p4 E( T' F5 P [ set best-direction 90
' u O0 M& D/ V3 |4 J' _2 L& K set best-amount grain-ahead ]$ a+ o& f6 h0 G* d; ^
set heading 180
0 t0 h! |& E' ` K# h* f3 F- f# m if (grain-ahead > best-amount)
$ @9 _, K. n1 O [ set best-direction 180$ B1 ?/ O9 g% y J: d
set best-amount grain-ahead ]- b2 x( g. Z$ {6 D
set heading 270
9 ~% h9 B5 E3 {% x# `) R* z if (grain-ahead > best-amount)
' X/ q1 ?. j P$ _ [ set best-direction 270
4 I' C/ A, m, \4 C9 } set best-amount grain-ahead ]
, V2 L# x: @( N: A9 J set heading best-direction
, S# o& e# z9 x. t. |" Wend
9 ^5 J4 C- w0 R! d( B
[2 ~6 V/ S) ?4 X4 x" z# c9 w* A* }- O V
to-report grain-ahead
' k5 D$ I* t& u, a; J8 r) o let total 0
2 I. ]9 s- U+ a let how-far 1
1 c- X! o' t; f7 R! [1 _ repeat vision
- ?2 h1 T" [3 o$ w' `/ n2 b6 R [ set total total + [grain-here] of patch-ahead how-far
% _9 W( x y9 a9 a set how-far how-far + 1 ]% G: E* u V; H0 U+ r
report total
% G' I5 ?5 G5 b( Cend
: Z; M) H, i0 }6 d9 _3 s+ g7 |" E( ]1 F) y# W
to grow-grain
6 X0 H9 n3 r: w4 {/ I, f if (grain-here < max-grain-here), y: b6 l& ^6 C" l& F G: ` X
[ set grain-here grain-here + num-grain-grown
& C+ k1 g5 L# v: \9 P% f) X if (grain-here > max-grain-here)
! f" `1 d0 H8 N' ]/ u8 ]# ]. P0 o' n [ set grain-here max-grain-here ], B) l4 m& W4 T/ h
recolor-patch ]
! w- o; ]6 |4 g! B+ ^ S# gend
* ]/ j. B X5 G* Bto harvest
" n0 E: F/ b. @5 I) U4 g ask turtles, y2 R# O/ j/ f: `/ ?
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]6 i0 v7 O# q; N3 L
ask turtles4 Q0 E& `6 J; J2 K
[ set grain-here 06 F/ v1 p! u5 T
recolor-patch ]
" F. n" ^0 [ m2 S
8 k9 V, }: Q* W- D) R, wend
" o5 } h& M5 h) C
- B- ?+ L. x. V) U3 m; Eto move-eat-age-die
8 m4 I/ K* w7 H$ o+ {" r- d fd 1
. `6 K2 Z9 R" p4 Z/ l \) s set wealth (wealth - metabolism)7 \; l2 x) J6 \6 K" U5 P
set age (age + 1), |+ _4 q! D5 S G- y# w
if (age >= life-expectancy)4 X( D7 I6 q" c) b0 Q( H) W
[ set-initial-turtle-vars-age ]! y+ i6 W+ J. b7 }5 t" I$ |
if (wealth < 0)2 T: t: B& b& k7 ~; _
[ set-initial-turtle-vars-wealth ]
- [8 V# C$ F4 |! I# k 9 S6 G- X2 h5 A6 W0 ^9 X* O
end
# I( Y! E+ H+ h/ X4 {! K9 p$ K/ b' {" M7 Q) `* a+ t( B
, ^: F% F/ h5 q" [: k4 f
to setup-plots: `2 p- X3 _; q3 I. h2 o8 I/ y O
set-current-plot "Class Plot"1 H4 J. G- L- s" ~: z
set-plot-y-range 0 num-people
6 _/ ^' I& y5 K, L% f set-current-plot "Class Histogram"1 h# E5 ^" K7 Y$ [% I. |
set-plot-y-range 0 num-people+ X3 {7 [4 v2 ?; s- `4 J
end1 _8 {: w' R- r/ _( I2 K
+ v. U7 ?7 R5 f8 `" N+ m
to update-plots
+ v/ Z5 A9 q# F# f9 V update-class-plot
7 N) b: ~" Y( |- j( t/ ^; X update-class-histogram: A- C/ q7 w0 E, U7 N6 r- z
update-lorenz-and-gini-plots2 K3 p" `2 w/ C+ M
end
) z5 G7 ~% Y+ Z3 w7 l/ u6 i7 Q; V6 z7 y
to update-class-plot
! Z# g: W1 X6 }( _. h set-current-plot "Class Plot"
7 F ~7 H0 m: D7 u( B set-current-plot-pen "low"
+ c9 M: u" [2 N; s plot count turtles with [color = red]- {8 C9 D- K0 Q) o
set-current-plot-pen "mid"
/ J' G# C, r! h( V$ l plot count turtles with [color = yellow]
, ]5 ^3 |% N* J4 x3 Y( q set-current-plot-pen "up"' |! {: \3 R: X
plot count turtles with [color = green]+ z, E9 _0 D7 d, O) e- X
end) \4 l- P" B, o$ u! D8 m2 w4 [& a
/ @5 h6 I3 `3 y: Bto update-class-histogram
$ q O: q& O; J$ ?- \' _/ Y9 ~ set-current-plot "Class Histogram"2 q |# I. _4 Y( X/ o6 L, [; ~* e. _
plot-pen-reset
; y: s2 U5 z h* w: h$ T set-plot-pen-color red% [5 j# H \3 v) e! p
plot count turtles with [color = red]
5 W" n9 I% L( ~. s2 H set-plot-pen-color yellow
1 |# o* L+ _ ^ plot count turtles with [color = yellow]
8 q* O: B; f, r& r+ Y set-plot-pen-color green4 m! v$ u3 R( x2 D2 s* Z! L
plot count turtles with [color = green]
% N( {; }1 i+ }8 n+ Q! @end
: B( L; }! _: B2 \5 gto update-lorenz-and-gini-plots
% t; W9 U, R+ ?2 B5 H# C% o0 a set-current-plot "Lorenz Curve"
9 I I( R: t5 c+ Z" { x% i {5 ` clear-plot8 b/ G$ J" W$ e
) X0 z |) e2 {9 q% ?4 { set-current-plot-pen "equal"
' g/ A4 ~1 j# G2 n. F7 a plot 0$ c& v7 ^5 ?4 T5 m7 U7 |, P& B! V
plot 100& ~0 d- D2 T* E, |8 K/ {
: g: }! O( ^$ w) `- H
set-current-plot-pen "lorenz"
" |3 o8 i# b3 B2 [ set-plot-pen-interval 100 / num-people( j2 j: u: [! `
plot 0 y; [# T$ a; t$ N% D/ ]
b% B" _9 x6 v, s$ p4 a
let sorted-wealths sort [wealth] of turtles
! d( C! c j: S$ ?6 E let total-wealth sum sorted-wealths* G$ {* {" O$ G; A; _
let wealth-sum-so-far 0
6 V0 s$ ^8 {7 o1 d& | let index 0- q* ?1 P& H, r3 T8 k- n
let gini-index-reserve 0. V2 ^& F# h7 E. T5 y8 H
& O1 V2 [+ f' b8 B. c repeat num-people [& Z. x* Q8 i/ V( `4 ]/ r
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)5 S Z" z+ J) }3 x- U* P6 O
plot (wealth-sum-so-far / total-wealth) * 100 b# a; ^( y G3 t0 a8 H' I3 B6 R
set index (index + 1)
& c& P8 h8 C' q; w/ B* n# K" R set gini-index-reserve* j0 v& a! R; c' |8 F% \4 W6 p
gini-index-reserve +" k& Z$ _6 `% G% a
(index / num-people) -$ Q) \0 G0 w$ |& }8 H+ F( J
(wealth-sum-so-far / total-wealth)
|, j9 b- q* g ]* e) Z" ^* y1 M( D: ^. X5 I, v
$ m' z9 `, J. Q4 z( U set-current-plot "Gini-Index v. Time"# ?. I! l8 ]; ?2 W1 C) z
plot (gini-index-reserve / num-people) / area-of-equality-triangle
: _1 r P8 d! v' J8 eend3 I2 E: p* x0 s( Y
to-report area-of-equality-triangle
$ i: f1 Q8 V* j2 L& Y) U7 ` report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
4 \2 T( Y& z+ V" Eend |