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9 Y. c1 D* n' ~& ~" q, a6 ^; u
globals
$ E. P6 l1 @( F5 H9 t; p/ p[
& n6 [5 N; {/ |( j max-grain # T/ M7 T# Z# O4 {' {3 x
; {% b3 e6 x9 c& N% N$ ]2 `9 a, ?! ]]7 d. s/ L& D% i5 g: w
, z: x" W0 q& u9 i, @
patches-own& I) M! J/ j: x0 L. E! @, d6 Q
[
) r& ]- q+ |0 O) z& H4 `' { grain-here 3 C, I% Y, {7 z( S9 ?
max-grain-here ; O/ t% S+ q g# }& |; \
]
, S. S. x, @" T$ s& V" B% z( D6 K& |5 E
turtles-own
: |4 r4 _, `9 |# j[
3 \6 C1 N9 N; @5 b age " m( l [/ k. M
wealth " \; f$ z; L2 A0 {
life-expectancy : s8 Y! N) Y* V2 B' x3 t' n
metabolism
- Z1 X" |1 r) s$ Y vision
* P4 s; Y7 I: N6 Q0 q3 o$ j) A inherited
: f0 ~; v- u+ Z! x- X+ v]) w1 `: D; |6 |
) G4 b7 O+ m: l- F) C/ W+ I' J4 P: K* g( |8 s
to setup
% M O; U7 V* H4 u# l& d ca
: F9 M5 ?" T+ V- V* G set max-grain 50" h) V6 a" e$ }
setup-patches
! O! V+ e' s0 J* o setup-turtles7 Q" i8 q" R. |, o6 I# n0 L2 S
setup-plots1 s7 a& a* F$ Z+ d% h3 @- n
update-plots1 V$ Y( j4 S0 X, N5 h- s0 A
end
. z/ ~0 M/ B* @# Fto setup-patches
0 X+ H& c1 j& V8 D& s- v ask patches
1 w3 H! z: r2 `# X3 e% p* P [ set max-grain-here 0
" W1 N1 t/ |% V3 K+ ^: @! A& h5 |, E if (random-float 100.0) <= percent-best-land
( d" O' P2 f4 Z5 \6 B [ set max-grain-here max-grain
% w* T h) n) y3 r+ y set grain-here max-grain-here ] ]
( o9 E' V! A# n+ d. f4 j8 y' K repeat 5$ l- f" D+ e [
[ ask patches with [max-grain-here != 0]
( M$ ?3 R' v" h- v+ b u; l% m [ set grain-here max-grain-here ]
# I" @& E8 i4 i: t6 Q+ @ diffuse grain-here 0.5 ]# d& [: P* _/ d
repeat 10: \; E S8 ?- j
[ diffuse grain-here 0.5] / |" p t5 u2 Y! v( V
ask patches+ b# x. J G; D7 v
[ set grain-here floor grain-here
' X- L" Z2 ^: y# @- T set max-grain-here grain-here * a U8 X4 |/ Q' h# d% X
recolor-patch ]6 t2 G- a) A! K5 x# z+ W% ~7 V( G) T( ]
end# N, c3 E5 k- M+ H2 L
to recolor-patch
7 I! T E, R- a; j9 m- Z; R set pcolor scale-color sky grain-here 0 max-grain
/ [/ q B ]' Y" Bend
: W9 e! o2 E P d4 _+ mto setup-turtles
. ]( V4 v( @( b3 O8 E# F+ R+ m set-default-shape turtles "person"7 M: u0 B& f: m% {1 m
crt num-people7 ]6 N$ g. a8 n3 }
[ move-to one-of patches - O/ L/ e# v! ~2 q7 R
set size 1.5 7 X/ k. X: x' D) I) H q
set-initial-turtle-vars-age
" \. z; t- X7 _* \( k( q set-initial-turtle-vars-wealth
1 C0 h E; X9 X4 ~ set age random life-expectancy ]3 g8 z7 h$ p& }3 @; ]
recolor-turtles
1 ?) G4 g( z* x' h1 Cend z& J3 Q, B; l% V3 e6 I
3 u% |9 B- S, j' a1 j6 [
to set-initial-turtle-vars-age
: I& j7 a1 \; t7 C# U let max-wealth max [wealth] of turtles
5 q4 f2 Y5 m1 _ " G0 q/ ], i" q! Y% D- n- a0 ^
ifelse (wealth <= max-wealth / 3) g5 n( y; F% ?& C/ O5 G
[ set color red ' G' y" y8 G2 ~# P5 o6 j6 e
set age 0" N0 c. I" y1 n2 g6 M* L s
face one-of neighbors4
0 N |& s5 p; \# @5 Z- c# E set life-expectancy life-expectancy-min +
9 N- h4 I0 w) D random life-expectancy-max
: [" ^9 g+ h/ _1 N1 Q set metabolism random 1 + metabolism-low) I' `3 S8 c d- f: G2 h1 v4 m- y
set wealth metabolism + random 30& n! h `$ {' O6 {, K
set vision 1 + random max-vision
1 V8 [, ~/ P- `! X f0 V set wealth wealth + Wealth-inherited-low ]9 `/ H" s+ L" f& G
[ ifelse (wealth <= (max-wealth * 2 / 3))
* r7 O: o2 w& l$ I0 p* T% r [ set color yellow 0 ~2 e) H' n5 U6 B) }
set age 0( ^" w* s) B; x/ ~5 Y
face one-of neighbors4 6 I4 ]. n2 @; @
set life-expectancy life-expectancy-min +1 a1 Z1 Q+ r; L8 X# w
random life-expectancy-max + 1
& B; Y( Q. z% M8 \+ F set metabolism 1 + random metabolism-mid
& T% U$ v- s! r1 D4 t5 A4 x set wealth metabolism + random 30
+ s# C7 O$ s% H9 R% _4 ~ set vision 3 + random max-vision* v6 @0 `6 r; v' L/ a7 D" Z0 O U
set wealth wealth + Wealth-inherited-mid]
- h+ K9 \0 C! c8 k [ set color green 0 |6 \3 a6 z! o; t9 }
set age 0
$ X" W `! H3 j, |8 M3 F face one-of neighbors4
4 a' ?$ C6 ?- d+ D7 ? set life-expectancy life-expectancy-min +
6 P! P+ q. ?9 Q) K/ | random life-expectancy-max + 2
) ]7 D+ t4 u% v6 S( v" e! Y: g4 ~- ~ set metabolism 2 + random metabolism-up
! F- J+ ]- |+ o$ @! n8 G set wealth metabolism + random 309 O. S) Q; r7 ?9 ?
set vision 3 + random max-vision Z, |! |( N+ F3 m9 w
set wealth wealth + Wealth-inherited-up ] ] ( n9 P' D- X1 Z/ ^9 I H
' f" ~' V* C2 I$ ?' J) _
end% s! H" L. G5 v" e' F
to set-initial-turtle-vars-wealth
" t1 w! Q, H! c6 ~' W$ n let max-wealth max [wealth] of turtles
- x8 y" i3 g8 n3 r% ^. S2 d" L set age 0
0 \+ s' {8 T. x( n; p, ?6 W0 Y face one-of neighbors4 + ? H! }' Z8 h0 t2 M: v
set life-expectancy life-expectancy-min +
) ?9 s4 l. X7 c random life-expectancy-max K0 Y! |; B' n
set metabolism 1 + random metabolism-up
' k! {( [9 l ^+ y9 K set wealth metabolism + random 30 ^7 w2 Y9 `* Z9 F7 o; A: e
set vision 1 + random max-vision ' t% B1 S0 N( ^( ~) E g
end6 H Q, g3 k4 v/ R1 U
to redistribution0 U- j9 L$ }. N
let max-wealth max [wealth] of turtles
; P: @( H5 x; }) l+ [let min-wealth min [wealth] of turtles! ]; D, F+ L! K0 e/ R: ]
if (wealth <= max-wealth / 3)9 D9 d6 g/ `/ W' d) Q3 d8 B* \; ?1 e+ B1 W
[set wealth wealth + Low-income-protection ]
) z6 z: f! x3 d" Hend
( `8 R" T6 N, Y1 i: F0 X# P , k8 a: e+ |( d! `
to recolor-turtles
$ |; T2 S! P8 E; O! W let max-wealth max [wealth] of turtles9 H: [- ]; y" s/ `: d& H
ask turtles+ X& J- u6 e8 S& q1 ~' h- t
[ ifelse (wealth <= max-wealth / 3) e0 O5 e4 y9 X b/ m4 W. j% P6 B D; x% x9 ^
[ set color red ]
- W$ f( S9 A) N d [ ifelse (wealth <= (max-wealth * 2 / 3))/ V, V- `2 j/ Y
[ set color yellow ]6 v* Z+ k- _$ B7 I4 o, s
[ set color green ] ] ]
" U* P! O7 v7 m ask turtles [ifelse show-wealth?
% I1 n2 O3 l7 f9 l7 f8 k! a }* T) x [ set label wealth ]7 S i- R4 A9 W0 |0 m& E" m
[ set label "" ]]
1 {* k" H9 ~6 W/ ]$ e$ w% `end4 s" l" V4 F( ]+ _* X- A
" z5 P9 @) r7 C% gto go5 E0 I8 m/ I" s
ask turtles
+ J3 l; O/ R& O: s6 w) W [ turn-towards-grain ]
$ ~. E, z+ Z" V% F2 T$ E harvest1 ^6 }+ N5 q+ A5 I" I# z1 g
ask turtles
) K1 L! {$ }% U9 B, L [ move-eat-age-die ]
. y0 ~) u1 J; K3 r/ j: ?$ e9 ~# N recolor-turtles. B- L. O, m4 ]& M7 V
if ticks mod grain-growth-interval = 0
" K4 K. h; R( |6 f7 d3 U [ ask patches [ grow-grain ] ]
' o+ _! A6 s4 r* a. k9 [2 L8 l
2 h3 v* B8 q+ T) I& I6 x if ticks mod 11 = 03 {; {% y& [' [ L' C
[ask turtles
7 i6 R/ Q% n% |, b. X& t [ redistribution ]]
0 H0 m- W# o: E- o' G! x if ticks mod 5 = 0
8 C4 x6 f- r2 c8 B+ p- E. } [ask turtles- B/ \7 e1 I- l3 D
[ visions ]]
- }/ |$ C# J' T7 ^9 X0 S9 }7 M tick6 L9 Q x0 U; b7 H$ u8 e" x# C4 v
update-plots
1 O7 S. F B8 H" @5 r2 n! qend1 v3 I: B' A; b
to visions! d( @( a: J4 B) B
set vision vision + 1
; k' V1 p3 D5 N1 A( Fend9 M+ \0 E. c6 u# h* e) \2 q
- ]% B" w3 I# w! F6 J
" O' a% Y% ?- F: q$ h6 T& C1 y- F. L( Q1 ~
to turn-towards-grain
m# k- e7 l' L( r+ j- a set heading 0
x9 t8 o+ k3 Q/ r2 A let best-direction 02 s/ G& ], {9 s$ W/ N+ d7 n
let best-amount grain-ahead
6 M4 o0 U/ U5 S3 t: ~7 F8 p9 j set heading 900 A! F2 H5 ?' r. R( `
if (grain-ahead > best-amount)
# l) n( N6 S% t0 G I% o [ set best-direction 909 d; L1 `7 `4 H2 K# r0 c' q
set best-amount grain-ahead ]0 \: o1 s6 r' G x- g
set heading 180
, w5 U8 r" k% u4 j if (grain-ahead > best-amount): g# d8 u7 g7 N4 W
[ set best-direction 180: ~1 K2 l5 X; z" t2 O
set best-amount grain-ahead ]
' F3 Z; x: S0 S% \! N set heading 270
0 X; d7 r" |* {; n, n0 r if (grain-ahead > best-amount)" ~$ A8 f2 r D
[ set best-direction 270& s! v p! |1 l4 ~; v' v
set best-amount grain-ahead ]8 q1 U8 _4 L' s
set heading best-direction
) _6 F# p8 G" c& g Bend# U. l/ \. H9 v! S: C4 h( T5 {) d2 b
4 R; }; n1 E3 V7 S1 x+ l g
0 T& B. K$ q% I `. qto-report grain-ahead " \7 e& y3 I2 n' }4 b) a
let total 0
1 A# S5 L5 W$ w5 x; n let how-far 1
5 }/ R* q2 k, o$ [7 U repeat vision$ U8 h5 O1 O0 _7 l! }% A3 N9 ^5 [
[ set total total + [grain-here] of patch-ahead how-far
6 {/ b, A" }* J. G set how-far how-far + 1 ]+ V" `) p9 M4 s- x' |
report total
, }, O' Q7 [1 s8 k* `2 Nend
! Z5 e# n+ s$ \9 e3 ]9 K. d. X0 e$ g3 y5 X, C$ \+ v
to grow-grain & p; h# G! z5 d$ k4 n
if (grain-here < max-grain-here)+ m D9 e; d* q& J6 G
[ set grain-here grain-here + num-grain-grown8 N- T2 X. e% s) N4 F! S- m8 n
if (grain-here > max-grain-here) 5 m3 |' s9 |9 a5 T1 X
[ set grain-here max-grain-here ]' C$ f1 Q! y, @! H9 M" E
recolor-patch ]& |6 b1 S- @& f: _" ^+ B3 N
end
- d$ p" P7 u* |% uto harvest* N# e5 E; }0 D9 Q: I9 K3 [& ^
ask turtles0 c- m4 O. Q; d6 [1 g
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
0 C# G! s4 }: [1 T9 O ask turtles( T4 g" {1 ~4 j5 e$ `8 X% F
[ set grain-here 0* p# j7 E5 K7 b0 k5 P' U1 _
recolor-patch ]
7 d; \. P6 }4 B& X! w 7 p# E6 O P9 ] ?
end0 Y0 k; w! x( V8 g5 [' z
: q& x" r. ]% ]9 x$ G/ [/ w% wto move-eat-age-die ; J' y1 _5 d0 G7 r& J- N
fd 1
" r0 t' P% A3 A( p4 e1 a" E set wealth (wealth - metabolism)$ r: _8 W6 ?4 d# I8 K5 b
set age (age + 1)
! s: [* R$ g. R% ^# L& ?, C0 f if (age >= life-expectancy)
7 A N: ?6 a( \# Q' }: _" [ [ set-initial-turtle-vars-age ]
4 S8 Q0 n+ L# U2 l; s if (wealth < 0)
8 R: B$ Q0 s+ Z( B; \1 w [ set-initial-turtle-vars-wealth ]* W# ^5 G: `0 x( d" S
; o2 l8 b# ^1 O( R/ wend
8 t: i9 }; Z; X9 C6 U V- }
6 ]- z6 G# I9 Z, k$ v( a- u$ m& g* p8 M% l, d! `) s
to setup-plots; M( v6 q; g2 d: e7 u
set-current-plot "Class Plot"
; H1 U0 ?8 { ^1 E7 [& M" s set-plot-y-range 0 num-people# [& h( s. m$ Y2 F; T
set-current-plot "Class Histogram"# L3 }4 c) K% E
set-plot-y-range 0 num-people
/ D7 s& |) l2 J+ W/ Y+ K! V H' hend
' V% M2 ?! w d8 z+ L% T7 W# T( C) f P9 Z. N# y7 U
to update-plots
- q8 u8 V* ~1 a6 U update-class-plot
! y( l9 h& [) |9 ]8 k update-class-histogram5 }" S4 |) Y' S
update-lorenz-and-gini-plots. S# q6 w9 ?. _# F
end
6 ]3 n9 t3 k( B X! R0 A- W, [6 B E
to update-class-plot
; W7 @: `8 s0 T set-current-plot "Class Plot"
$ x, g+ ]' R" } S set-current-plot-pen "low"( ^; h: J3 M7 c% w
plot count turtles with [color = red]$ t" l4 k# M, b( k7 p
set-current-plot-pen "mid"
3 Q( J! T" v, B( j8 }: ] plot count turtles with [color = yellow]
" ~6 e! @. f/ a- \9 r, Q* v2 [ set-current-plot-pen "up"& n6 a3 S3 N' Y/ I
plot count turtles with [color = green]/ l$ i/ S. ]6 h. K: I/ z
end ` A1 ?7 p& i* g C
0 x1 |6 j3 _2 \, f6 H* _) b+ dto update-class-histogram8 l/ j/ X N4 x' _. o& A3 D2 j( r+ K
set-current-plot "Class Histogram"2 m. D* m4 W2 U7 f
plot-pen-reset
1 x8 y2 Z- j9 p* j set-plot-pen-color red& r: R' c2 T, ?
plot count turtles with [color = red]
8 d" T6 \/ J. R3 @ @. |, y set-plot-pen-color yellow/ `* |; Z' f! y3 W. k
plot count turtles with [color = yellow]
. e0 e+ `2 I( u: T$ v set-plot-pen-color green
( S6 v2 R4 f" J& X& [2 s; ~ plot count turtles with [color = green]
4 `2 J. ?) l' v/ L) r% Mend
# I* C) A5 L: \' ~to update-lorenz-and-gini-plots$ { @/ a" Q5 q
set-current-plot "Lorenz Curve"
5 m. W! O( T6 [; m% [. l clear-plot
4 R9 [. j @4 v Q: p- q) a( @7 `# @+ ^. j/ X
set-current-plot-pen "equal"
5 `7 N$ z7 b% ^. L9 _0 P2 q plot 0- _: s# V( y0 S' u
plot 100% n; i( d6 A; V9 C# h
) f P3 M& x. _# w0 N( a, V set-current-plot-pen "lorenz"/ `1 K& V" Z! ]) u
set-plot-pen-interval 100 / num-people
s9 |0 N4 i8 }3 G: Q2 K plot 0
$ \0 h0 F' y! h% D" d( v
" V3 W: p- U: g7 V- l, b let sorted-wealths sort [wealth] of turtles: D8 [- p, j8 q8 L
let total-wealth sum sorted-wealths
8 d3 |& u9 ^ N E. d8 @* \" ] let wealth-sum-so-far 0
G2 h w- j. ~( g let index 0% c9 F* o$ C7 k
let gini-index-reserve 02 O2 `3 D" N) b" y% F
4 M# B$ l2 C3 Y' H0 c- A+ M, e! b8 v repeat num-people [' Z3 D6 j% d1 Q [) h' _- {9 K0 W
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
8 i! Z7 [2 {- \; \ plot (wealth-sum-so-far / total-wealth) * 100" u; a! B2 H4 K$ N% D; C* {- [9 k8 `
set index (index + 1). k% T+ \9 Q J# G! k' J
set gini-index-reserve
# }( D7 t2 E' u) s! g gini-index-reserve +0 n+ l- m0 t9 \, Q, M/ B7 D
(index / num-people) -+ E9 b" @) f+ n/ v! _5 @
(wealth-sum-so-far / total-wealth)
+ Q" g, I- g; U6 E0 b0 F: w ]
# _/ q" i2 ~; \: J) X, T
0 q1 t3 I7 m# Y" k. z" E set-current-plot "Gini-Index v. Time"$ R- m: l0 {- @; B- {1 W
plot (gini-index-reserve / num-people) / area-of-equality-triangle
( m- U. y @ {5 X) y6 x8 i) pend# v7 t# w8 B9 l
to-report area-of-equality-triangle
( G5 m# {' P d, { g- r- Y" ^ report (num-people * (num-people - 1) / 2) / (num-people ^ 2)& R5 T. F" \9 t
end |