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! J0 O4 t5 u/ M; ~" y8 m$ w
globals
8 q5 O" t3 v- R3 z) e[ @3 N6 h5 H/ |' ?' a, m2 d2 e: G
max-grain
$ @7 e/ v9 I d
6 j4 P8 @" T6 x3 `" l]/ ?" v5 m2 M1 |& G
- S: G% y" n, v! Q: v9 I% ?patches-own
9 T1 s4 K& h) |* v" P[3 t' A+ Y) t7 C: B. y
grain-here 9 K. c3 d) g6 m" o
max-grain-here 0 p4 f. \7 D- W/ G/ x4 ~) A
] f/ c7 x9 w1 h) c% J) g
) B; q- d+ `* e$ s& V
turtles-own; p% J. c1 P2 [8 `$ u |- R
[/ B4 D6 e4 h6 \4 Y) @
age
1 \5 X" [) A# S1 M wealth
4 L- [; Z* Q, n1 Y& V& h life-expectancy
, `( J" G' q. v. s* p# c metabolism
( \* n8 ]( f9 p9 i/ o5 T vision
( P* `/ Y- W0 F+ b5 m3 Q inherited
- j! a& f1 ` H2 l W; ?4 Z]
9 N; [: u/ ^- A
, L9 L* }) }& V) d) `) q/ J; [1 O
" O8 C, y* g* d: g: v m2 Sto setup! a9 g' b2 D. f8 Y8 w1 q% q8 `
ca
$ C3 n! C# T- ?, p, K) W set max-grain 50; ?/ A1 K7 @ b( j4 _: R I
setup-patches4 A/ x1 y4 [# E; }0 ^& f$ x7 x9 s
setup-turtles/ a5 `$ _0 ?, w8 y) n+ L" F
setup-plots
/ Z( M* {5 o$ t6 j1 c8 G update-plots
3 v. H9 O* Q" Z: C3 P1 _, Z2 ]9 s( A& s" q3 dend
# V7 K! E2 W' p/ \to setup-patches& Z6 p, u9 I, d0 Q9 b/ E
ask patches
8 x' r" s& R; D$ }# y9 ` [ set max-grain-here 0% c2 n# a" a0 B0 ]& `3 I" X( i4 H
if (random-float 100.0) <= percent-best-land
, z/ X6 N$ g0 M- H: t8 X0 y* I# E/ \ [ set max-grain-here max-grain
$ t# d( z2 S4 G, ~ set grain-here max-grain-here ] ]/ @0 K' i# w" A5 s' f! p X
repeat 5
2 |4 B+ F. b0 L- D% s [ ask patches with [max-grain-here != 0]
8 j. q3 e. E# k& u) o [ set grain-here max-grain-here ]
* B) u2 v: Q2 n% T, h diffuse grain-here 0.5 ]
* T) u# ^* K! x repeat 107 \. m7 R+ W h! Y- F6 f& M
[ diffuse grain-here 0.5]
2 e- Z4 ?4 f9 W/ d5 z: k ask patches
: @" O& t! K. V/ w S" f, e5 H- [8 ]" W [ set grain-here floor grain-here
7 B) {9 F& g) P0 t: v& b set max-grain-here grain-here 2 A* V- A- W$ C/ i+ X
recolor-patch ]( [2 d" Z: L, l+ M/ C* \. G
end6 o0 O8 Q- t* `& w) F; i3 }
to recolor-patch
H9 g0 r" u: @& d set pcolor scale-color sky grain-here 0 max-grain
; n2 H& X# X) K! J8 v( j& yend6 L+ R! j, X0 Q$ o# R5 z7 ?
to setup-turtles0 x4 o4 E! c# W, O% `
set-default-shape turtles "person"
# X* l- P, p9 E# ]- f2 ] crt num-people4 N3 L8 [- Q0 F1 c" B9 g
[ move-to one-of patches ) h! [# J* d! \' c) _
set size 1.5
) D3 H( {/ c1 B set-initial-turtle-vars-age/ a7 J E0 k# _3 \3 n
set-initial-turtle-vars-wealth6 O% R% d- h' m3 h1 h$ X4 q2 @
set age random life-expectancy ]
! ]2 i4 c, o/ y& I recolor-turtles
* F% l( t. v/ \3 c) o0 y5 D" \* zend
9 q$ C! Q- l' W! v+ T% F4 A7 Y( t" o) e0 h& L( N
to set-initial-turtle-vars-age; A3 Y. l* P' H8 U* H0 i
let max-wealth max [wealth] of turtles
) i, \" y& y* o" h7 |
0 h J& ?; X" m7 Z( K2 K- ~ ifelse (wealth <= max-wealth / 3)
2 c1 g8 M4 j* Q7 |% x! e- ` [ set color red 7 m& {( O6 e# R ^. C8 K2 K
set age 0( ^6 y3 D! b( H( {5 U
face one-of neighbors4
. n5 e& b3 Q4 \0 O set life-expectancy life-expectancy-min +
+ F; q0 I5 ]& m; t) J$ E d random life-expectancy-max
1 j+ _: S! T# |" t7 u8 J' A5 I set metabolism random 1 + metabolism-low
8 J( Z8 U# w2 | set wealth metabolism + random 30
1 b7 L$ Y& ?: v/ X4 v set vision 1 + random max-vision, Z# V& v% q( a( g/ {' X* t1 D4 v
set wealth wealth + Wealth-inherited-low ]0 q' V3 v1 l/ H# N4 O/ i! j
[ ifelse (wealth <= (max-wealth * 2 / 3))( _& h. a9 ?+ t( p
[ set color yellow
- [7 M7 D0 P2 f set age 00 @1 S! Z8 c) w3 m* z) H O9 x
face one-of neighbors4 ) H+ l4 v) V i, c3 m
set life-expectancy life-expectancy-min +
% _% r* F$ _1 `4 |8 f. F random life-expectancy-max + 1
* v4 k; P7 J# k2 j) R" H set metabolism 1 + random metabolism-mid
$ \# B& Y. O/ g6 n* Q/ D set wealth metabolism + random 30
) r5 [: ~+ t& k, f( U set vision 3 + random max-vision
( Y8 @; C( O, E, p4 C set wealth wealth + Wealth-inherited-mid]
' m6 O, w: S. n$ ]5 Z. b [ set color green : W, N5 s/ Q2 @ p
set age 0
; x& A: X6 Z& t% c7 D face one-of neighbors4 0 d# {4 ]" `; j8 q
set life-expectancy life-expectancy-min +- \$ h' E9 U- g4 O. |' w6 i8 X
random life-expectancy-max + 2
/ g' q& } }4 n5 m1 l, Y) l# F. d set metabolism 2 + random metabolism-up
. }/ R& Z3 `% F$ [ C set wealth metabolism + random 303 ?3 x7 |1 @) N- `3 J( ^
set vision 3 + random max-vision
g+ D) V! N- ?, [, j% T* \ set wealth wealth + Wealth-inherited-up ] ]
& c" j9 C# I7 {" s( m j * t! k1 p$ U5 a2 ^; d0 B# q, k# _
end
8 u" {& _6 n2 x: Sto set-initial-turtle-vars-wealth
' L$ G) f" i' q, v, l, O9 g let max-wealth max [wealth] of turtles
1 h0 s0 A5 x0 r: z q. N set age 0
3 ^: b" |7 M' |$ Y' r' }9 x! L, c1 b face one-of neighbors4
7 v9 k9 H' w* `- I$ w) o set life-expectancy life-expectancy-min +9 g" J/ B- H" a4 H/ N% X2 F
random life-expectancy-max
7 d, a- D% y; V! `9 ?" G set metabolism 1 + random metabolism-up
/ f& E5 I2 S# U( D# N4 a1 ] set wealth metabolism + random 30# y: V" }& |; c4 {' V3 ~/ N7 A$ F; W4 g
set vision 1 + random max-vision
/ H4 M4 j' B& F$ _end. |3 ^' a; T& M
to redistribution
) v2 B' q* F+ G& C! g) flet max-wealth max [wealth] of turtles
$ b+ c5 b, i8 X2 [let min-wealth min [wealth] of turtles
) o Q5 I: o. Qif (wealth <= max-wealth / 3)- [- S+ S' E" j
[set wealth wealth + Low-income-protection ]3 p* R8 p4 M+ @3 m1 i2 ?: d8 u; ?! n& Y f3 G
end
* U" _8 A! U3 V
( w S0 ?, C1 e. O T- L! ?to recolor-turtles9 t4 k6 ]9 f" K: F
let max-wealth max [wealth] of turtles) h" g# k2 t$ |1 D' ~
ask turtles
, u/ Y% i- C: m" p [ ifelse (wealth <= max-wealth / 3)
$ b6 p9 ~ q( o' Q: T [ set color red ]* ?2 S9 m) @6 W& `* L
[ ifelse (wealth <= (max-wealth * 2 / 3))5 Q. p6 G7 w6 _& O4 u, @, e9 Q( B
[ set color yellow ]
% j- |0 ` ^* q( j& z' P+ ~$ H [ set color green ] ] ]
+ M: g. {' V# u ask turtles [ifelse show-wealth?0 V; N6 l7 o5 F' U8 G/ k% R
[ set label wealth ]/ j5 B2 M3 Y1 }6 p& c ?( V2 _
[ set label "" ]]
8 t/ L1 I) T0 r% l& f+ c Dend
$ d1 d/ K6 Y0 t' G9 T0 {
" N+ t8 Y9 T9 ^9 Z1 G p7 Yto go
5 x: H6 I( A' O2 }( d ask turtles
7 c8 R8 k% w. J: t: N3 ` [ turn-towards-grain ] 8 p/ ~0 k0 M9 n
harvest
. {- \+ y3 J* j* ? ask turtles. g9 g9 F" a) ?( O: Y( w
[ move-eat-age-die ]. k* s5 H: r# t l
recolor-turtles
6 b; [! q( K1 d; m+ C if ticks mod grain-growth-interval = 05 k' I+ e# ~+ g$ a& y
[ ask patches [ grow-grain ] ]; n+ K3 j5 A! v
* |. X% h2 @2 F! e. @ if ticks mod 11 = 01 q; A8 X( j7 X
[ask turtles9 T/ r Q" c9 |* y4 O: g. N
[ redistribution ]]8 K; a1 \' }9 _" X
if ticks mod 5 = 0
; a5 j8 C/ g8 x: T [ask turtles
9 `8 a( P) K/ t) M W/ Q( ^$ u5 J: H [ visions ]]8 v2 `. t' G9 r: }% D
tick, ^3 Z0 S$ E" I! @
update-plots
& ^: J/ |: D& I3 U( fend/ c3 ^# D$ V4 S- L) J- O' _. `8 P
to visions
# X9 P) d8 ]$ v set vision vision + 1 3 K: ?5 b; q2 w/ ]% H$ W8 D9 m
end
, x! z8 p, W' z! k! m' Z4 r. a6 S. }/ f9 ]; n
; d. [1 j1 Q6 [
( o2 T8 a. i3 G( jto turn-towards-grain : Y+ ]* H- x J/ B# z2 F
set heading 0! ` j l- L% A9 h! A) l( P- g" ~
let best-direction 0* c; H7 }/ C1 p; [5 C# w
let best-amount grain-ahead
+ n- F5 i# B, r2 [* @, F) U set heading 900 Q0 x1 E# m1 L' V/ d
if (grain-ahead > best-amount)
# u+ }9 e4 c; @% {+ w6 _ [ set best-direction 90
+ O" n* R5 v4 B; I% c2 K set best-amount grain-ahead ]& t) ]4 I' u- Z0 {" R# e
set heading 180! E6 Z$ ~3 K+ K" ]
if (grain-ahead > best-amount)7 c _1 K- L( Y
[ set best-direction 1806 D6 \. @( a! C; O3 G# a* S$ a
set best-amount grain-ahead ]# o: l& a: H/ x, }
set heading 270. E8 c: ~+ F6 \+ o9 C% t
if (grain-ahead > best-amount)
; `6 F l7 l F7 F [ set best-direction 270" {1 B7 l& _" ] ?: g/ G
set best-amount grain-ahead ]
$ o# D# u- E% t3 g% \, ]" T set heading best-direction$ z" n% y# w0 K1 u
end
: J/ f$ j4 X# C- T
7 O' N r$ H* e5 M" Y; S, _' K
; X+ d0 O6 D# Q/ K4 R1 fto-report grain-ahead $ ], Z1 L s- M% ?
let total 09 [) d# X1 S6 Z& g
let how-far 1
/ l0 {$ T2 y& k) a& N. l# d0 G repeat vision
% R, Y4 s1 R3 i [ set total total + [grain-here] of patch-ahead how-far
( s) p+ V9 p6 H9 |7 A set how-far how-far + 1 ]
9 d% K, b' m% C% ]( o2 \( V3 N report total
- P) s, b6 h5 L% Cend) N% \! R3 \" w6 i
% e' _! G9 e3 S8 e
to grow-grain + z4 M2 a2 R0 T% [2 @. G
if (grain-here < max-grain-here)
* L! l5 d9 h% r7 R- |. F! F2 D [ set grain-here grain-here + num-grain-grown+ Z. ?$ W, t( \# S. I
if (grain-here > max-grain-here) - y0 C1 ^: C3 x- ]8 _; E3 q8 i
[ set grain-here max-grain-here ]
' L& B% G$ s2 {5 N+ G3 X1 t' F recolor-patch ]. N# _# j! G% U0 I1 r& l9 c
end7 }/ ^+ ^+ {5 O& r) f% U# c) O a, X
to harvest
6 Y$ M3 K* S& q( O9 H. ^ ask turtles
* i5 V: E0 r1 _+ Q5 R. p# I, e [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
: ?: Y# [% p; ^8 q ask turtles' m5 f9 Q1 x' s- M/ n3 r* I3 \- @
[ set grain-here 0! K$ Q3 Z [- r; Z
recolor-patch ]
4 O" O# ?9 h; g% t' ~1 [; |9 }* l$ Q
7 N+ `, e$ A4 cend
; m" H( P8 \* C0 T+ M$ B; A' K+ m0 A/ I, H0 n, b
to move-eat-age-die
' j2 ~7 C4 g6 t5 S' } fd 1
0 K- x" H3 z. t$ Z8 ^$ h: Z0 j9 ^, Y. e7 z set wealth (wealth - metabolism)
- L" F, Z Y) T S; I/ d, ? set age (age + 1)# x' [4 X# P# |6 h" {+ ]
if (age >= life-expectancy)
3 o9 O+ q. }* w _7 L" U [ set-initial-turtle-vars-age ]% j( H1 d" v* D9 W5 f
if (wealth < 0)& J2 L: g! o1 F) c# M+ o% z
[ set-initial-turtle-vars-wealth ]. g+ ~9 L/ s. |+ `( C- I+ _. H
! i g, c$ O U1 v
end
$ i0 J0 a3 R$ @/ g: O/ S8 R3 W: `- [9 S( v+ \
8 X5 Z$ m" Q# }% R
to setup-plots( u- ]( ~( h. F4 `* j( Z* _
set-current-plot "Class Plot"
# B( ~. e0 `0 r/ G* ~ set-plot-y-range 0 num-people# r0 L9 y* |3 J5 X* l: m# w
set-current-plot "Class Histogram"
6 ^+ N1 ?- o- m set-plot-y-range 0 num-people
0 n3 V/ ` ?0 B% e7 kend' _ P/ n3 v6 y- |6 H" U
2 C' l q& p: Y+ a! c6 \/ h& O, yto update-plots
( q. a4 @6 M9 [! W4 G/ T, i- Y8 P update-class-plot
" r7 H1 l+ H. B. C# e5 R3 }; A update-class-histogram- o, r4 P/ Z$ A! p( R& |$ ]
update-lorenz-and-gini-plots
4 d$ l+ k4 _3 M+ B: X& Jend4 Q* P. }9 k* V5 G$ y# [# E
v/ k q& C* o& z* n9 w t2 a R! O
to update-class-plot; K! h* j: W. v. Y, S
set-current-plot "Class Plot"
. J+ }! b% R: |7 M9 o7 [ set-current-plot-pen "low"
4 x9 e" U. W4 j4 M' g plot count turtles with [color = red]
& T! x: o6 a& R set-current-plot-pen "mid"# r! t+ l9 `, I7 Y2 }' p
plot count turtles with [color = yellow]" ]' m4 p) f8 }# c- i7 ~7 r u
set-current-plot-pen "up" ~% z; U5 _2 }8 Y8 s& e1 W: m
plot count turtles with [color = green]
0 E* y( e7 j2 L% P+ iend
9 t8 O. s" P+ `6 S- I
5 X+ ]4 q) x2 D9 ?) g2 H8 Fto update-class-histogram1 Q7 C' H/ l( x
set-current-plot "Class Histogram"
# j* T! d" [5 q. R* V plot-pen-reset* T0 D) J( \+ u( `5 ]
set-plot-pen-color red( P6 K* f/ P W8 y4 Q
plot count turtles with [color = red]0 ?1 i; t8 W9 A8 X
set-plot-pen-color yellow
4 J0 U' s3 e) x' A* e plot count turtles with [color = yellow]
/ d# ?0 j6 \% X- A( C set-plot-pen-color green
# Q$ l0 R% w4 u9 I7 p6 [1 O }8 j plot count turtles with [color = green]1 R6 K! p1 `, N, s
end& b3 [. ^% q8 d* ]2 ~: I* l
to update-lorenz-and-gini-plots( M- N8 T; |5 L; V- { S2 M( L
set-current-plot "Lorenz Curve"8 ^" N0 z: v% X
clear-plot9 }4 P: `8 _/ N* I( a; [* c' I- O; B
8 y( v) Y: Z4 X/ e' B1 {: u set-current-plot-pen "equal"
5 e) W& \# \' e# |+ g/ w& y plot 0
: P& I8 {4 V2 G: K y3 `( ] plot 100
+ Z; `, ]- d+ _: Y* J
( G+ \, s; h' y: M1 m set-current-plot-pen "lorenz"
! J6 H$ e7 P6 A& R set-plot-pen-interval 100 / num-people
+ s$ c! g- y/ I# B plot 0; U B# G+ q& N- V
& p5 q% k3 Y* @2 L, f/ ] let sorted-wealths sort [wealth] of turtles5 E4 C. |( j$ s- H, F2 s
let total-wealth sum sorted-wealths
/ e# k, t- r2 Y/ S let wealth-sum-so-far 0
# _: P+ @0 `) \" E a let index 0
9 g! h9 _. f1 K2 ~, p' Q7 G9 I+ `6 a let gini-index-reserve 0
: i s2 o* o& z) ~7 m. q
6 q# d0 q. e+ h1 ]6 g6 b" ? repeat num-people [( ] {" N1 [6 _' _% e A
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)! n! [8 }0 l8 s! l2 a7 i! ]6 ?5 @
plot (wealth-sum-so-far / total-wealth) * 100! N* g; s4 Z2 Q" S' H
set index (index + 1)# A! V, o8 x; E5 j& t4 D
set gini-index-reserve8 U' c2 d+ @' D$ J5 [+ f( Y1 C4 a
gini-index-reserve +
. R4 Q. s9 K o: g. r* y8 I3 F (index / num-people) -0 u& d" H/ V( T+ q
(wealth-sum-so-far / total-wealth)
& d9 x( Y: Q9 w6 E6 J. X, B ]
% G1 S6 P8 q1 x3 A. W x+ q$ L2 }6 A R
set-current-plot "Gini-Index v. Time"
) r8 k2 ?; i& d8 }1 P! T plot (gini-index-reserve / num-people) / area-of-equality-triangle
4 A. y4 y( b$ H% `end
' g1 l3 I8 J+ Z% h( M6 [to-report area-of-equality-triangle+ H+ \- l3 s- P% j) G1 W
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)) r* |# P" l; k9 v( i2 h
end |