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 w5 y- y% f/ T$ L" u. T
globals
, r) A4 D3 x* o; A w6 D[
! d' m8 Y" |/ z9 w" E+ q8 s x/ T7 m# G max-grain I* @# U9 ?& G, o; W) z
$ \1 N. q4 Q1 d6 W6 M9 l: y]
$ _7 ^& t6 H* o3 @0 F& U' f j
patches-own& m" g7 i, J) R @) H' U
[
8 u. r( i, g6 ^- v' T$ X! c grain-here 9 W2 C/ z" m2 k; A4 u) |& M1 `) i
max-grain-here
- _8 q {, E5 h) ^8 _- x) r- T]3 H8 w, }8 @9 U, e) v: y: `8 V
+ z9 l% }9 ~: \# |' \) C1 T+ e0 nturtles-own- l; M2 p3 U) o
[. b. [5 c: [. y% n' ~* k2 b
age
! _+ f/ k0 i& y2 x# x; O! L wealth $ t3 |4 @( s4 M0 a1 X
life-expectancy ( A) E C0 W( d1 @" n* ~6 m2 f
metabolism
# C }5 ?4 _2 k' g, i2 O& B vision
f1 S7 s. \* h2 y, d inherited
, Z0 C$ n4 _; d0 q] M* }0 E, \1 c3 s, ?3 u$ h, h* }
- }1 b/ I, u. i2 P8 }
j& r2 ]! s2 f0 kto setup
7 h* M( F5 c; `" x/ ]6 L. a1 K ca
5 u' P' I+ w* ~8 N7 v set max-grain 50
! n q0 _$ d3 I1 R) t) D0 K setup-patches
) b4 f0 J" n( U8 r- @) | setup-turtles
/ j' n) N! K d/ F" ^ setup-plots t4 n# @7 y+ u' G( ^
update-plots( d6 \2 o& `, |8 {$ ~8 B4 b+ C
end( J& ?& ]' Q% _5 j( A* Q, H) w
to setup-patches4 v4 S k7 b0 h; c2 o, C
ask patches
) h$ Q- e! V4 D/ i [ set max-grain-here 0% d# @ {- @8 c' T
if (random-float 100.0) <= percent-best-land; k |1 L) l# I* S$ d/ e
[ set max-grain-here max-grain
, O" p% o- M$ b- P9 [/ L9 ~1 m set grain-here max-grain-here ] ]) e2 H9 F4 |: J5 d4 ^$ T+ F
repeat 5
& ?; l) f% z+ T4 ~7 V# u2 v/ S2 j* V4 i [ ask patches with [max-grain-here != 0]
% F6 p' B1 Y' r* A6 ?) n [ set grain-here max-grain-here ]6 r* _4 L' _8 X3 Z
diffuse grain-here 0.5 ]
: F: x" _0 b/ }' y repeat 10 V' O5 |! f' J
[ diffuse grain-here 0.5]
, R$ l* f7 ]9 ^+ E/ @! U) ~ ask patches' s- U0 u" r* v' p% ~
[ set grain-here floor grain-here
, w0 {1 O% H2 T set max-grain-here grain-here
4 H' S& V. G3 ~3 h9 x) q4 @ recolor-patch ]( Y8 s- G2 r% Y4 _1 E+ n% W% u
end4 Z" n4 c8 A2 Q/ }' ^
to recolor-patch ' d; r) h; A4 p4 \: ]" ~
set pcolor scale-color sky grain-here 0 max-grain2 Q6 q2 q z$ m4 Y' i$ L
end( X) i! G7 V- Q: w4 Q2 P
to setup-turtles: _- G6 `' g' e( u
set-default-shape turtles "person"
. U# f2 o: Y0 U" j0 r/ { crt num-people
+ E9 P3 e$ ^9 C3 V3 n6 L' } [ move-to one-of patches
/ `. E, W6 o$ F set size 1.5
0 ~9 ]4 ~+ x# f0 F, W; _4 C' Q# ` set-initial-turtle-vars-age
- R1 G: z3 ~" l set-initial-turtle-vars-wealth* P7 v, Z6 Y6 x
set age random life-expectancy ]
4 g% P# q7 _7 `# Q recolor-turtles
4 W4 Q* d9 o; q1 h5 r0 Fend5 u5 H W; U7 s
; W1 ^1 o# I, H; T: e$ U m
to set-initial-turtle-vars-age
. H7 V, P+ T$ s/ i9 M" K2 J let max-wealth max [wealth] of turtles X ^% e/ j/ {7 E8 k
/ C7 O, a# M e' C ifelse (wealth <= max-wealth / 3)
* N# }% `! T9 x% W2 m [ set color red 2 X& p* a) i. h4 h
set age 0
- `0 J6 j6 S+ `% u4 p* c face one-of neighbors4
. [* V E! d9 W" \" F/ j# k set life-expectancy life-expectancy-min +
* |& H, S @2 f9 d+ H random life-expectancy-max
) m, K+ Y1 |' C+ r set metabolism random 1 + metabolism-low
6 v O9 y! E$ j1 p set wealth metabolism + random 30, d3 x+ L( F# ]
set vision 1 + random max-vision
& [" i' T, p2 P& S, l2 d) N set wealth wealth + Wealth-inherited-low ]4 g9 {* r0 e2 M
[ ifelse (wealth <= (max-wealth * 2 / 3))
0 d. ^' T8 P! T# A+ J: Z! K+ C [ set color yellow
$ r" K# v; T) L7 q* V set age 06 N8 U' `) I. x8 x5 Y* Z& {" {
face one-of neighbors4
' e/ ]1 ^* q3 W. P set life-expectancy life-expectancy-min +4 O& ~' f5 h, }+ @
random life-expectancy-max + 1* [5 t. p3 P6 G9 A+ f( h
set metabolism 1 + random metabolism-mid
( j I2 [% |1 v, n, p set wealth metabolism + random 30
! K6 t S q. J3 S set vision 3 + random max-vision0 ^" k' g+ r7 o. }
set wealth wealth + Wealth-inherited-mid]" d. {# C: a1 Q* F# |
[ set color green 1 v4 w8 E8 o ^7 s9 {2 p
set age 0, g) h" w! M$ H
face one-of neighbors4 0 V9 j8 }( _* f
set life-expectancy life-expectancy-min +% Z; s# x% e. i; ]7 w$ b+ V
random life-expectancy-max + 2
# y+ t- s4 y# m6 ^ set metabolism 2 + random metabolism-up+ }- o3 ^6 W5 a
set wealth metabolism + random 302 \0 O1 ~( i8 }; p: t# G/ ^5 Y, K2 v' H
set vision 3 + random max-vision! `7 Y+ l( C2 @
set wealth wealth + Wealth-inherited-up ] ] / A/ l8 Q4 j. s; N/ K
) t. T3 F$ \+ F9 h Send
) M4 S0 j5 g- }8 D0 zto set-initial-turtle-vars-wealth
* ~ u* x: ?. E let max-wealth max [wealth] of turtles- U& J4 F# X/ B2 m7 h9 w
set age 03 B" H K1 a, @. a1 y Z, x
face one-of neighbors4 1 I" @/ b; D6 V, m) r4 P: F+ A9 C
set life-expectancy life-expectancy-min +2 r E) |9 ~& Y5 w; C8 P: c8 N
random life-expectancy-max
0 ~! X* t, F1 ^9 e: } set metabolism 1 + random metabolism-up
" a; m+ D D* @ set wealth metabolism + random 30
1 R" @! x# O6 j1 {6 D$ c set vision 1 + random max-vision
; }5 L9 t: }6 {end
" b0 b2 w2 Z# R1 ]/ _; Tto redistribution4 F! C" ?) f; O3 A" v M
let max-wealth max [wealth] of turtles
$ E8 \1 }8 _% H. P4 Q# Olet min-wealth min [wealth] of turtles
. E# f5 D- y( G3 V( Q% Xif (wealth <= max-wealth / 3)
" h* V2 L; y* O1 x. H2 J: ] [set wealth wealth + Low-income-protection ]5 K9 T) p" {9 ?! p0 G/ c; ~: w
end6 G9 M! `+ L, O) m" p; t9 @+ x
3 {4 ~6 g& _4 U5 T+ s
to recolor-turtles
: R: r! G6 T) ^: {) O5 {1 s' {; t let max-wealth max [wealth] of turtles
- c! }: O" A3 _+ J( k6 R ask turtles
% y6 S( U O% ]8 Z7 T) I [ ifelse (wealth <= max-wealth / 3)( n* U1 y2 l( ]7 j
[ set color red ], b2 o8 e' l2 b" e- _- x
[ ifelse (wealth <= (max-wealth * 2 / 3))8 G* P+ o6 k2 R6 O
[ set color yellow ]
) N# j \& N$ V [ set color green ] ] ]
0 O; X$ B1 @7 K$ I- v. E ask turtles [ifelse show-wealth?% g( Q: k+ M7 e ^5 ?2 T( i
[ set label wealth ]( l- X& x. ^0 L9 n
[ set label "" ]]) I+ Q3 G- H1 C
end
9 T8 A1 _! U* E w$ _
5 j$ U+ Q# E: j' h" R& A6 c+ H8 ?to go* X5 i2 O% P/ e
ask turtles
4 t( V3 n, z& J+ @/ Y8 j [ turn-towards-grain ]
! \5 p" m0 u* ^- `2 p9 P$ ]( G: E harvest# h# V6 ~! k. c* s/ X7 Y2 n
ask turtles
+ G0 h& ]4 l) u$ a* F/ d, _! l [ move-eat-age-die ]4 U- V& p/ a- H
recolor-turtles
# {5 V8 P% t" s# Q- d; a if ticks mod grain-growth-interval = 0; _/ I% x0 y- k
[ ask patches [ grow-grain ] ] P6 ]9 C: i6 f, `
: \% A7 d/ ]8 M" x# c
if ticks mod 11 = 0
8 m7 l9 O. }1 w0 M* \2 s2 t( k [ask turtles/ D! |( b* \; x3 a& Y) S" M; A
[ redistribution ]]- V3 N3 a" i5 J3 b* b4 V
if ticks mod 5 = 0
! e/ b- S( J7 D+ w [ask turtles
# d j6 H g& W9 d9 [ j [ visions ]]5 ?+ D' z0 x) i' f) u) Z- `7 X: B
tick: R J9 ~5 a4 L$ w' ]1 x
update-plots8 T1 Z9 g* `0 i' e& s
end
; Q* f) W) N! n1 z* l* P4 X+ ]to visions. Q" |9 f- V+ ^$ ]0 f- g5 h8 C
set vision vision + 1 1 |2 \( ]# Z( F
end
1 A$ }3 ~( q7 f; k& U+ m
* o5 v O k/ Y
5 M1 O; P8 l4 s# p& ]! p/ [+ _* \
$ R( c8 B* j4 O" p% D$ H$ |0 }to turn-towards-grain ' g+ a1 g! r; {2 e- y, ]5 @
set heading 0. t9 \- L! A2 A. [4 o* G- ~' r
let best-direction 0* B, s& h4 |- |( X" F# v% r# n- W
let best-amount grain-ahead$ `2 H# ~+ Y q- t8 V2 t# t
set heading 908 ]" p- G& H3 N7 u. @% E2 e
if (grain-ahead > best-amount)
, F8 j. h: y+ {. _) ?' t [ set best-direction 90; F9 j' o9 J$ N$ y0 B$ P
set best-amount grain-ahead ]+ \$ }& ^6 m# ^$ h
set heading 180" J# e3 o( p- y+ L, j4 h! V
if (grain-ahead > best-amount)
" e6 S! R" I0 B- P/ E! j [ set best-direction 180
e2 F5 y0 p; n# M2 J set best-amount grain-ahead ]
: h* J+ w7 {5 P$ T3 o set heading 270
& [" { s$ @7 b6 b% z; }! V; p if (grain-ahead > best-amount)
# I: [* ^( }% a% X! N' U6 L [ set best-direction 270
( `3 _) G3 {9 C; R0 ^2 d6 X/ Y p/ W set best-amount grain-ahead ]: S, k2 _, h+ w* x9 q: q8 V
set heading best-direction
2 b% [4 e# _- M2 h: ~ jend
' @9 u1 j7 ?* o8 y3 y" N+ p# @% e
2 C/ @: T) y; z
}% `1 m+ }1 a) `& O; C, m4 Eto-report grain-ahead , w. P# g6 V1 S7 c% |0 k
let total 0' ]2 b* W% k9 {3 e
let how-far 15 M' Y. c$ o2 H/ o5 F
repeat vision
# ]$ L7 ? z* `. `0 H [ set total total + [grain-here] of patch-ahead how-far4 D+ C* x9 c3 O& W
set how-far how-far + 1 ]1 v V1 ?: o5 L4 j `
report total
! v3 g( r7 W6 T: H- w2 W* r! Uend
3 ?/ g5 @# I* R8 v- b1 p. Q; k8 ? @( m0 k- W/ j, j$ N4 r' m
to grow-grain 9 z" F S* D9 c" W3 A! `/ k
if (grain-here < max-grain-here)7 ^& T) o. z! R: M" w
[ set grain-here grain-here + num-grain-grown- L! j* j* o* t3 Y
if (grain-here > max-grain-here) t b: Z+ t1 i$ W$ \
[ set grain-here max-grain-here ]
4 p* a' x& S, x [ recolor-patch ]9 H' ?. Q6 [; J( p
end
0 X5 X. X! {% y- d. [5 j. @! N G9 {to harvest
+ l+ o4 o- A }% b6 } ask turtles
- p/ I: s1 m0 R) o. A" D" o$ Q% W [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]% Z% L4 J, n/ H4 m: w7 Z+ Q
ask turtles! [' e: R- M; i m! o9 L. p
[ set grain-here 0
8 K% X" ^7 C! I7 z; k recolor-patch ]' }- e) ^/ p0 Y7 x
& I" f+ M* g8 i2 H$ b! g* Vend0 }5 X! J. |* J- n; Q* i- b
1 s6 W0 s3 M; nto move-eat-age-die 1 F. ?# ]' g" Y( J
fd 16 h8 p! ]: w3 \7 D4 U
set wealth (wealth - metabolism)
/ |+ N$ ]7 T) }" E. o3 g set age (age + 1)' |8 i7 Z$ s( J9 M+ g; Q2 S2 A- V
if (age >= life-expectancy)
" W# q2 L* b% w& k2 {: x [ set-initial-turtle-vars-age ]- V7 f7 p5 ~+ P5 o+ A. d( M/ O
if (wealth < 0)5 w, _7 I1 ]2 M* C3 P+ r+ d
[ set-initial-turtle-vars-wealth ]
9 v/ M7 l8 t% j3 u, } 1 A f7 n: A; A, T% w5 U9 f
end4 A. n9 [0 R' H9 j0 W. |
: E8 g: d$ W& P' t" p
1 _! I5 h5 R. F( A& X( T$ m4 p0 Sto setup-plots
" p+ h& O5 T( I/ X, {/ {) b set-current-plot "Class Plot"* L8 f2 P! q$ E# `# E
set-plot-y-range 0 num-people
' v* _, a/ b0 }* N+ y3 d" ~8 I set-current-plot "Class Histogram"2 [8 W* p! ~* ~5 x# N, z$ n
set-plot-y-range 0 num-people
$ }( n- `( k( d* Y5 Tend" u' {0 j8 v9 W* s* d. M- d
, i5 c# A) |! xto update-plots7 g2 |, n* j$ P" ^( ~1 p
update-class-plot1 g# G0 E; K9 U: Z& q
update-class-histogram6 C: Y! w& K: m. r& j% l& B$ j7 E9 z
update-lorenz-and-gini-plots, n& Q7 T0 P/ d$ d/ P
end/ V D* u7 s5 |: L2 ~8 C4 b
+ L% K R! q Z( [ q7 ~to update-class-plot
* T4 a' g6 s V5 ^ set-current-plot "Class Plot"
A, R/ l. ?: S7 v( M9 o6 w+ c set-current-plot-pen "low"4 ^7 d9 w$ c; V9 M
plot count turtles with [color = red]
4 G; T( j8 b3 O$ H# k$ Q# n- E set-current-plot-pen "mid"
% V0 ~9 a8 W$ o, b+ y plot count turtles with [color = yellow]
: L9 g. j" H2 M, X" X% C0 ~' w0 j set-current-plot-pen "up"
$ b$ i0 k- R; C, S, @: J5 N plot count turtles with [color = green] V) O$ ]& _+ a) ^" i
end
7 ~+ |5 o6 R( }6 P3 J$ X- C4 h% ?6 j. v7 b0 Q9 C; n
to update-class-histogram
3 L# K$ H5 K! R a. t0 N set-current-plot "Class Histogram"% m; A& q0 P, g; B$ |2 v
plot-pen-reset0 q6 q- W/ V1 e3 x' T
set-plot-pen-color red. X. I- M9 P# @6 f# D$ x6 {: X/ j
plot count turtles with [color = red]8 t- u/ ]6 g5 Y
set-plot-pen-color yellow1 _* x' ~( p; b3 x: j% [2 {. k I
plot count turtles with [color = yellow]& J, o4 ^, C& g, `5 y6 d
set-plot-pen-color green
! W9 s: R, |) ` }+ F- y plot count turtles with [color = green]
9 o' b( u6 J9 u* W' D7 `end: X8 e! D5 d! `! _( p) v. }- V5 l
to update-lorenz-and-gini-plots! _$ |" ~8 T) H
set-current-plot "Lorenz Curve": p* ~* ?3 A" W m! I" v& ]! K
clear-plot- e$ s7 S9 u- g" G+ H& c3 I
6 u$ U: f- a$ E% |# D) E set-current-plot-pen "equal"
- E+ C, o: _) q plot 0* K# o4 G2 ]" ^, X4 n0 `
plot 100
3 A3 w( i0 S* }$ I9 @$ W. u
" c" k$ U U' ]# ` set-current-plot-pen "lorenz" u+ o, P3 Z; I5 Z$ H! C
set-plot-pen-interval 100 / num-people
; H! ?7 E8 M" w4 M# i0 z plot 08 [* M6 f* [7 m2 j
) v y5 d$ z! V3 Z let sorted-wealths sort [wealth] of turtles7 ^6 P1 O- j& o; `5 }7 b! k$ f
let total-wealth sum sorted-wealths
# }* v1 m6 Y6 d$ a" b# c6 D# T let wealth-sum-so-far 0
A. W& g4 G: N1 i% {2 C let index 02 p9 f# G5 v0 A1 F
let gini-index-reserve 03 r: P$ N+ Q3 i6 c
' w4 d+ t: h' ] repeat num-people [ @ O; y* z0 J; u4 ]6 I7 B
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)% v" d4 ?2 Z. |1 G* b- E
plot (wealth-sum-so-far / total-wealth) * 100
# L% E. A, t! P! ]3 W set index (index + 1)
3 r, w. x0 I; g/ m# J; C set gini-index-reserve
1 X/ M# p3 H5 D% [6 g' y4 u gini-index-reserve +
2 b& g* N# R: K4 S' I6 c (index / num-people) -$ h$ A. h) q/ j+ O
(wealth-sum-so-far / total-wealth)
( i/ _) ^/ R8 W3 e' a$ n ]" n( K( j1 \" e$ X* x! f1 |3 n
0 ]$ b& |3 o5 l6 `- E8 R n
set-current-plot "Gini-Index v. Time"
7 W7 O6 Y: ~' d plot (gini-index-reserve / num-people) / area-of-equality-triangle
, E( ^; t& X0 z; s- }; F9 Q- tend$ [7 o; E* ]* ]! @, G( b v
to-report area-of-equality-triangle; ^( l* S j! b8 @ U8 o I0 |8 C
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
* z- y% z' Q6 E2 r8 Tend |