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
t$ R: F2 U3 y4 `globals
! |5 q2 \& P/ Q1 |9 y7 `[
5 r' c8 }! S' F max-grain
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2 C0 P9 ?4 j3 G& I5 L$ a; j]
, _3 L9 j/ e9 o( }. F& G* A5 x/ {
7 a2 ]! d7 k- [/ v7 ~$ {patches-own. c- o4 \; j: X( n: d3 k) i
[( i/ V- L3 _$ j$ `9 \6 w* O6 ^4 @
grain-here . Q3 m1 n; [( [: e0 b
max-grain-here
8 q8 q, i/ z2 {- P]/ o9 c# F* N; G' _. P* c& ]
9 u+ |) \3 b3 _
turtles-own* ]0 d: |( L4 G. d+ ?3 x; e9 o
[
: `4 v" ^" N U* P) @& q) X age 2 W4 A; z0 C7 S8 `: y
wealth : p3 _+ ]) s* Y7 K' V7 {& G
life-expectancy
& B& L7 o ~5 w2 J+ _- p7 y metabolism $ X k5 h9 Z$ \4 H: r' {% q
vision
$ m8 L* n% g9 O l. L' S- e inherited
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6 Q, Q5 B; M7 L/ k y) r) J B# ~+ \* q8 s( @- Y( h& |# x
7 ?: a; a! H8 @4 G* Hto setup
# m t3 n& q' c ca
: S$ E: X% y' Q, ?; t set max-grain 500 f9 N' Q: @9 k0 w5 g( ?7 o! D
setup-patches
8 g* e9 m" \9 @: d$ M/ H6 Z( J U setup-turtles1 a9 B2 t# d4 J$ @" r; Q
setup-plots l* j4 H( ^! p/ Z* D; V h1 j- Y
update-plots
* O" n9 c7 m0 d7 C' V tend# j) [0 |0 L# j4 W z1 S$ ^0 M
to setup-patches* E) [$ b4 @" |# y* K
ask patches) Y! l: D7 [% E" I# F3 Y
[ set max-grain-here 0& Q% u# F) a% P* o5 v
if (random-float 100.0) <= percent-best-land
4 N3 U* k. L6 c: ?0 u [ set max-grain-here max-grain
$ I7 f, B( t" O' b1 E; g set grain-here max-grain-here ] ]* Q# o% f/ o# d, o+ b( z4 ^
repeat 50 ]# [' u' |3 ~6 _) q' D" h
[ ask patches with [max-grain-here != 0]
) f1 K' K$ u4 ^( N. ~( l" x( X) ~ [ set grain-here max-grain-here ]: t8 W4 _8 `- o8 e: e( j8 l
diffuse grain-here 0.5 ]! d, G& l# [( [4 |9 [1 M
repeat 10( A1 H; _: Z9 f6 O% m% a9 R6 f
[ diffuse grain-here 0.5] . C" D. V! l, `- ?, q. o
ask patches% D7 [5 q! Z: o/ R0 n: k7 R3 ^
[ set grain-here floor grain-here
2 g7 n3 [% V, J, U set max-grain-here grain-here 7 ]( k" w. V( D6 E$ z
recolor-patch ]" f' Q, U# U w* h0 i. t
end/ o: @) L+ Y2 q3 R* C: P
to recolor-patch & y' ]( I8 v, |6 G9 u
set pcolor scale-color sky grain-here 0 max-grain3 m/ D( V1 S* z" k5 @, j
end
7 A" \& l2 E# p) g) h, Gto setup-turtles! e3 L6 f$ } L5 i3 t, s q& [
set-default-shape turtles "person"
3 X+ p% e P3 y2 N crt num-people) h, b+ `' v: ^5 p6 ~1 h, x( c) o
[ move-to one-of patches . f' S9 e2 {' P# K
set size 1.5 + ?9 `: c7 G# f$ H
set-initial-turtle-vars-age& E' I* a2 h2 s$ C
set-initial-turtle-vars-wealth
# u$ j+ d) N$ o# ]; N5 t4 k, L/ E set age random life-expectancy ]
& Z s$ j/ v9 [. R) V: \; k recolor-turtles
: L! _+ a2 x t) I6 Jend
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4 C7 _: j5 E/ I- C* o' bto set-initial-turtle-vars-age9 o* m$ ?: b Q+ U# G0 C( T
let max-wealth max [wealth] of turtles4 L' T9 q2 Y' P
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ifelse (wealth <= max-wealth / 3)3 j% e) [2 @) _# v% o. V- @7 Q
[ set color red R+ e$ O' ~" A- H
set age 0
7 g, a$ l7 a8 O" |/ \ face one-of neighbors4 8 @+ R* l9 L2 S2 i
set life-expectancy life-expectancy-min +
! c& u- J" q1 w% `* W4 a$ ^# N random life-expectancy-max 2 X+ H& ~. x. E& r4 a
set metabolism random 1 + metabolism-low! X" T9 V2 Y; A) `0 o3 t2 `
set wealth metabolism + random 300 j8 _9 a8 F5 R3 T* g
set vision 1 + random max-vision
' ]$ `/ F) @ B# i6 G4 v; l% O set wealth wealth + Wealth-inherited-low ]
. A# p) j' o9 F$ O1 ^ D" Z [ ifelse (wealth <= (max-wealth * 2 / 3))3 [1 }2 Y# ] N. W! B4 @! o S4 R
[ set color yellow , H9 F, z: `' d- E# U( i
set age 0( J$ `: v5 E7 R7 l. W8 h3 [! V
face one-of neighbors4
( z5 Y' R( \8 |! F set life-expectancy life-expectancy-min +3 y) p. a/ Q* X9 k' @. B
random life-expectancy-max + 1
* x, @" m# i/ O, P. e- z( h set metabolism 1 + random metabolism-mid
5 O/ n3 W4 a' U. ^ set wealth metabolism + random 30
3 O, T5 L }3 A$ T0 P5 G set vision 3 + random max-vision. {6 m: n) z2 s9 Z- M+ _8 f3 n: X6 g
set wealth wealth + Wealth-inherited-mid]
4 e5 A% i" r/ _. J# l [ set color green c5 }2 n( h; e: A# U2 }
set age 0/ L. c! l$ u7 ]. M: D% @5 t W
face one-of neighbors4
) Q S( I, Z) `8 W7 J set life-expectancy life-expectancy-min +
/ [& q/ h6 G/ z# ^" [7 |( O0 l random life-expectancy-max + 2# }8 g- |1 z7 p0 _
set metabolism 2 + random metabolism-up
) c' c8 H/ e9 Z. H' R7 f8 h set wealth metabolism + random 30
- ?7 V1 g& w/ S0 U: [ set vision 3 + random max-vision
3 G- h+ c" w! F j! k( V1 w ^ set wealth wealth + Wealth-inherited-up ] ]
3 V5 k. F* f7 _/ ` # @ k" N; B7 H: N( ?% ^
end- T: q8 Y/ i7 e$ ~3 v
to set-initial-turtle-vars-wealth
G" n# t, r" B) i, _6 I& B let max-wealth max [wealth] of turtles
+ A* K* N0 }. I/ ~' Q! x/ ~% j set age 0
+ |+ a1 Y$ O: T' u) C: ?7 b1 r' X4 E( R$ r face one-of neighbors4
$ B4 b7 e# ^ g0 q& o# a% c" L set life-expectancy life-expectancy-min +# L0 z# a# F/ ]; `' \' D) `' Z
random life-expectancy-max o/ x& @& o2 a* l. \" F( m
set metabolism 1 + random metabolism-up
( O, J: D2 Y4 K, R set wealth metabolism + random 30
9 Y& I# z: e0 E* m4 t set vision 1 + random max-vision $ X) B& N4 t2 s9 j, s
end
6 X- D- {/ {* u- wto redistribution M% }* e# k* W! z: Z' G" o
let max-wealth max [wealth] of turtles
" \" m- d6 v+ h: G/ v' V, Flet min-wealth min [wealth] of turtles7 V# X; w: {" R. Q4 M6 H
if (wealth <= max-wealth / 3)) ^6 c! j8 C' c: t6 v# i0 f! H
[set wealth wealth + Low-income-protection ]
, H; L" _! {6 o' X" {& ~end8 h- l& e: h# D0 N2 x: h5 x l
0 R. ]$ q' V6 a' [to recolor-turtles* @8 h! D0 n! w t- B i1 T9 a. d) f
let max-wealth max [wealth] of turtles9 t4 Y5 @! V, a/ k9 u
ask turtles
" N$ @9 Z, s0 ]9 W' L [ ifelse (wealth <= max-wealth / 3)& m( s* L4 F1 Z# }& r0 }3 h
[ set color red ]
$ A3 g5 }. I( R: H8 r' k/ m! } [ ifelse (wealth <= (max-wealth * 2 / 3))/ E) m1 a+ Q i' G+ y% a: K
[ set color yellow ]. I: n3 G* N( r6 z& u& W3 o* E
[ set color green ] ] ]) O, Z; A* s: u) |/ X% e$ U+ E$ @
ask turtles [ifelse show-wealth?- i: M& |, H9 m
[ set label wealth ]$ X& h; H2 f- _. Z
[ set label "" ]]
% A9 m0 u5 C3 Pend% o4 f+ q" y5 m2 I5 c$ z. e
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to go
9 ^! C; B3 ~' Z" w- s ask turtles
+ U( H6 @: m* t& A3 Q [ turn-towards-grain ] 7 c2 d/ L: E0 ]2 F) l; H
harvest
+ }3 s* s' \$ B" I4 E$ }* e ask turtles; Y. a0 l$ ^) x% l. w D1 y0 ~
[ move-eat-age-die ]
4 z) y: b- z/ p7 |9 E" { recolor-turtles2 e5 x5 x0 p1 x+ j9 c4 B6 K
if ticks mod grain-growth-interval = 0
& K5 i; D5 c5 o& y" t [ ask patches [ grow-grain ] ]2 y4 q2 S" c# O8 R3 ~' o
, |0 d3 K, Q2 Q if ticks mod 11 = 0% ^; v1 Z' S: F4 w6 ?( R
[ask turtles, r- p8 F6 l* z
[ redistribution ]]$ z( _- t4 k! j; o5 a
if ticks mod 5 = 0
- o5 T, P3 H$ B [ask turtles
+ a+ j5 e! k, X [ visions ]]2 _" y' h& M: x. l# h$ R% d
tick
% g8 I8 q- I5 \ d! u update-plots/ G/ L* U% e) t% P2 b5 A
end
9 U* U t+ x N. X$ Cto visions1 c3 ^* ^% }, `) y. Q/ f
set vision vision + 1 % f# Z' Z% H* j. ? k' W
end6 D( C- V- z0 [3 T6 k, t7 m' q
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to turn-towards-grain / b% @- M! H) A% O0 J
set heading 0
" V5 t1 J5 w. a; ^& J let best-direction 0& c, T. B9 I/ B9 r4 H2 t: v, |
let best-amount grain-ahead
. l7 C! _" m; B set heading 90
' [- |( n, p% L6 U6 ~; _ if (grain-ahead > best-amount)9 @7 g$ L% Y: \2 ^2 p
[ set best-direction 90
' I+ k* |3 t2 v; V) E6 o set best-amount grain-ahead ]
' w, L K: o2 x" A set heading 180
# f& o( ~: b7 l if (grain-ahead > best-amount)
! q' x( N7 \% Q9 l2 u [ set best-direction 180
0 x) M# a8 A7 j* {- _ set best-amount grain-ahead ]# g3 I2 }; l2 b* F. h4 B& \
set heading 270
$ a+ \& }0 x7 E, r0 Q; P if (grain-ahead > best-amount)
+ L0 M7 [- ^+ W$ [ [ set best-direction 270/ c x+ {& V* I0 |/ P+ W. J9 C
set best-amount grain-ahead ]
8 a7 U. e/ l7 u# o, \0 w$ c set heading best-direction
+ H. r$ K1 U3 u4 z5 lend4 h) {( t2 f% v7 R: @- B2 v
8 F9 I9 y6 B3 M
* ?" e0 b- g, M# p: O0 Q3 wto-report grain-ahead , v, }4 D0 ?: t! o
let total 0
: P9 N3 D( W6 ^4 U# w( n, T let how-far 1
# v, I- Y7 N# J+ L repeat vision
+ K. i# a6 g2 a. Q; {3 i% Z/ ~5 H [ set total total + [grain-here] of patch-ahead how-far
6 O- p( ^7 d5 T" Z, s set how-far how-far + 1 ]
, W0 |$ N) d6 N5 H( B1 s3 ?* ~ report total) ]2 ~$ w3 t* j
end2 Y' ]% a7 ^8 f' B8 V
$ U/ k# `/ m S7 o4 M3 b+ }to grow-grain / ?1 u9 @0 Z6 J
if (grain-here < max-grain-here)
6 M+ W3 _; ~1 N" x9 p [ set grain-here grain-here + num-grain-grown! K Q8 p6 o$ @5 o# u# L
if (grain-here > max-grain-here) % C" U. Q) K$ R9 V" Q
[ set grain-here max-grain-here ]6 Z, H% j1 Y+ N% S. k2 C, O) h# N1 M [
recolor-patch ]
F9 q+ Z7 Y2 {; C" I1 Bend
( F* M& i8 ?6 G' y0 `& pto harvest
) }) f; a& O& E6 R ask turtles
2 q, Z2 j1 L' k5 ` [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
7 H4 N) u# O* U2 f ask turtles
# D, u: P/ b* n+ E8 t L7 r1 B, _ [ set grain-here 0
! n3 O) f3 Q! ^ recolor-patch ]0 t; G4 C8 V- N
. }. ^. j! D' U5 G6 k
end- b" k5 g1 O* H3 N' n2 Q
7 r* Q7 t8 B, J0 uto move-eat-age-die , N% b1 h% Q# {; s) R7 N( E
fd 1
9 G% ^1 c/ Z! O/ H( {2 O7 K5 C set wealth (wealth - metabolism)
7 m: t6 T2 c. W. Z# g( M, j' w set age (age + 1)
2 i7 l |& {) n N if (age >= life-expectancy)
! R4 `% e! j0 j0 J; p! F% g6 { [ set-initial-turtle-vars-age ]" R: u+ @+ X# b) d3 C# |4 e
if (wealth < 0)7 S7 @# ?9 o* ^4 ^3 @) R
[ set-initial-turtle-vars-wealth ]
, r5 P( U; n- X4 C/ i
8 G2 n5 e" q0 k3 z' z3 zend! U9 |; f) Z4 N% h
7 t3 ~/ o! d" z3 T! e k+ w6 w2 |4 p9 \9 E9 h U/ U/ b
to setup-plots+ j8 A2 t/ c' [3 g, u& Z# N
set-current-plot "Class Plot"! Q! [1 d: h- K; B# f
set-plot-y-range 0 num-people/ W9 x3 A' S! ?9 O; Y5 {; h
set-current-plot "Class Histogram"
3 T5 A& M& t( @+ T set-plot-y-range 0 num-people
2 y1 ]4 g) k6 ?2 \8 i: kend, E+ U+ F6 x, _0 Z2 O
4 D% i# P" K4 S" `, n9 gto update-plots
" ?: N7 G. `3 A0 l1 y update-class-plot T1 X* N/ j5 s9 g; _: F) y5 [
update-class-histogram
! I% }# z; l) Z) l* ]5 Q' M& a update-lorenz-and-gini-plots
, d, ?) _/ |3 O( w$ ^ O. mend' _5 j% o3 F! A& |1 C2 w
* w% Z% S+ p, Y6 }! E
to update-class-plot2 }" y( d& A" c* |7 _
set-current-plot "Class Plot"
! u, y5 E6 ~4 X3 f w# C( ?, r set-current-plot-pen "low"- g& |2 w; \& N: y. }3 N" ]. | z% W
plot count turtles with [color = red]* n- Z) Y5 i/ s) ^6 t
set-current-plot-pen "mid"
4 p4 @" X' ]7 V4 d* W plot count turtles with [color = yellow]/ B4 a( t' Q8 k: X: \5 _! d
set-current-plot-pen "up"
9 _+ R8 U, p2 k' b; ` plot count turtles with [color = green]
# k# n- |9 }8 s% ]end; W! A% E/ D, n- j; S2 y/ U; `
W) ?; `/ p& w1 O% ^to update-class-histogram
/ ^# I. k3 Q1 {2 _7 v1 G3 ^ set-current-plot "Class Histogram"; m) O# W; S: y( Q" t) M. d
plot-pen-reset2 e& T* h' {8 B: f: D
set-plot-pen-color red; h6 q! B& f8 Y9 Y( Z0 z- x" m
plot count turtles with [color = red]
/ |4 C% c1 {/ s set-plot-pen-color yellow& b4 V0 ^9 N% U& b! X
plot count turtles with [color = yellow]# I! i; X. V( @% w; o
set-plot-pen-color green
4 u8 \/ D7 G& O: E$ j- l4 ~ plot count turtles with [color = green]
8 ?7 Q+ j e: R$ }. send
* y* B; U! H7 }9 Y! hto update-lorenz-and-gini-plots
: h4 p/ d i1 e( n set-current-plot "Lorenz Curve"+ j$ G: I! q; }( y9 N
clear-plot
4 A: O6 C/ G" O% e; q! {' N
( L2 x) F2 t8 f U9 u set-current-plot-pen "equal"
2 ]) j8 E" l# S( g7 F4 S plot 04 D: v3 c1 \5 j7 r
plot 100
0 E$ K8 u |: z5 V$ v( N! @8 N8 o- b+ ?# @# {$ p W6 c2 B
set-current-plot-pen "lorenz"
8 P4 L0 q( {6 d' V' a5 k) G set-plot-pen-interval 100 / num-people6 Y/ `$ l$ [5 @% Q
plot 0
, ?) S* _/ {- R, x5 v; a5 x. c! z6 l/ i- V& ^) |7 j
let sorted-wealths sort [wealth] of turtles* c- v1 r l( _
let total-wealth sum sorted-wealths& u: u! ~5 B; o- p/ `" f/ ^ O+ A, \
let wealth-sum-so-far 06 r d1 g% _. V7 U5 Z, M- w
let index 0 w& g& H& z: u) c2 O$ D* Q
let gini-index-reserve 03 v0 n# \0 ?2 P4 z& O- I- H
~5 H* K+ v' Q, V% Q" T3 } repeat num-people [ R* P0 B$ r0 L" I) u8 A
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)% m, r! a+ v l- m6 N9 m6 _
plot (wealth-sum-so-far / total-wealth) * 100: m9 c( z5 Z# f4 c7 P" ~
set index (index + 1)+ I( y/ [0 R. i, @# i3 e
set gini-index-reserve O. {0 P/ m% Q) r$ E
gini-index-reserve ++ V' V7 C( `: x% v2 A) _0 j
(index / num-people) -
* f K% W# {2 N. L2 F9 r1 j (wealth-sum-so-far / total-wealth)
# P6 v! R; Y7 Y/ Q* w9 n ]
. ~7 ?4 s }" F" I- h# C* h% r
7 P. ?- z# T9 _4 Z" J% c set-current-plot "Gini-Index v. Time"- G( B; Z8 k: C+ w/ a
plot (gini-index-reserve / num-people) / area-of-equality-triangle
' x" L! Y: S' C/ Gend
7 `! _/ F0 v5 J; h5 @9 h! ato-report area-of-equality-triangle
# f; `% z8 j4 g* Z [ report (num-people * (num-people - 1) / 2) / (num-people ^ 2)( _+ h4 H% i8 C. `% d* @+ i2 w
end |