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 l6 H4 i1 ]+ _$ o) ~( D- kglobals
S( G3 w& ~* Q; T1 C% G5 g. N[8 Y6 J$ g8 M6 q8 H |9 _( {4 o
max-grain 2 v' Z, N% f: z- _
* j4 ]" b! V( f8 N3 \( d1 W]; [! I' _% @% T8 e( t3 F
; Z. n- ]$ [! w% ^
patches-own
/ _$ D0 U/ e2 R% u& n2 w[8 Q2 }# v# F! a' Z! o
grain-here 2 g/ c# u0 [1 k- I# R# M v
max-grain-here " }/ @9 c! E S2 s( u3 X3 Z
]& c3 D6 d; u% F4 l; h
( [' W" ?4 ^1 f6 V$ ?( ]. N
turtles-own& j# Q9 y* B/ f- M, [
[
( V/ q, N9 Z- Z4 g) V! w6 Z. ]( h8 O4 ~ age
* g& J0 y) D& @& ^' c6 E wealth
$ c2 G$ S+ M, c# t: @ life-expectancy
* s) {5 ?: D: j- w metabolism
) S! l% L9 o# t- ?+ F/ a% {: F vision8 u' c0 I* Y/ h; s( P# _5 h
inherited
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to setup
4 ?, }% A& `! |5 l7 d! z6 f6 N ca" j( j- y; \4 u1 `* F4 f L
set max-grain 50$ r8 v, C5 p2 l7 k% c
setup-patches
5 u6 T, L7 M" E7 `( s setup-turtles7 @8 @1 S: N, I9 l- i6 j
setup-plots
' C) a& Y5 u6 P! F7 q4 j6 u update-plots
' ?* }& H' Z9 ^* u1 G+ _" c/ u( Dend
d0 }: ~9 C% G0 q; c% G5 f& jto setup-patches
6 j6 ^- Y/ U# Q+ _ ask patches: j, I$ b3 V( A- V9 T, z/ S
[ set max-grain-here 0, Q8 X2 W! O3 _* p! o- \" g
if (random-float 100.0) <= percent-best-land
, A1 x+ V6 O" o [ set max-grain-here max-grain
5 ^, q, B, V# H0 F e2 d: I3 y set grain-here max-grain-here ] ]4 D8 `8 y" {- F5 N& y4 c+ l; W
repeat 5: |' \% C9 [- D& A
[ ask patches with [max-grain-here != 0]; m9 b7 D2 }3 Z1 r+ j2 m
[ set grain-here max-grain-here ]6 b" [7 p, L% U0 [
diffuse grain-here 0.5 ]
; p# R) s, X6 F s% p repeat 10
# i Z8 f8 G8 w; Z' c' x4 n/ A [ diffuse grain-here 0.5] / D' u& ?( J. r
ask patches8 v& s' _2 z8 z* K5 M6 O: ^: _
[ set grain-here floor grain-here 3 L) S I) |8 U$ y& C
set max-grain-here grain-here ; V; s( L$ l% B. z
recolor-patch ]9 ~8 ?5 Y# [" Y/ }
end
2 c0 i4 e1 E3 Cto recolor-patch
/ l6 T8 U, S, x8 ^9 `. C; n set pcolor scale-color sky grain-here 0 max-grain
' _# D& \- B- v9 T2 W6 } c3 dend
- e4 R: w M* s4 f9 I9 r( dto setup-turtles
" t: [9 O( Q" U! s4 ]( T% L! ~ set-default-shape turtles "person"
! N8 r' N6 k3 k2 F6 q, ^ crt num-people
! `7 w* I @% r+ f! e. b [ move-to one-of patches
4 T5 m0 P1 n) D b set size 1.5 ! f5 {& |# X9 L0 o4 Z
set-initial-turtle-vars-age: v+ n' U& n2 y+ u
set-initial-turtle-vars-wealth
% k; r' i9 @# n# e ~+ G9 `8 U set age random life-expectancy ]
/ `) D; p' y8 ^5 V c/ o: d recolor-turtles
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! }% S4 Z/ F4 i8 {% y4 Y: q0 d& u
to set-initial-turtle-vars-age
& w$ S6 ~7 m7 R' ]9 B( n: j let max-wealth max [wealth] of turtles& B& F7 W" p V2 b( g: M( g }1 ]
$ [7 r. a" f$ V. V y+ l
ifelse (wealth <= max-wealth / 3)
3 ?" | d/ ~6 I | [ set color red
5 M1 d9 O0 a# q: i7 [! L set age 0
& U! ]' s8 a, z0 E$ l face one-of neighbors4 - Z7 Y3 R7 T' T0 q6 r# R
set life-expectancy life-expectancy-min +
* q9 |: V# ?" c3 N2 I" n/ S+ c random life-expectancy-max
: B! @! ? f! I* R0 W. A; D set metabolism random 1 + metabolism-low
, m# _7 ]9 R h/ P6 c set wealth metabolism + random 30' F7 N2 {) s; S7 r
set vision 1 + random max-vision
! q* n, J3 _( g) a, v set wealth wealth + Wealth-inherited-low ]
) M/ O# K" ^' G, {9 s [ ifelse (wealth <= (max-wealth * 2 / 3))6 K3 q/ p: r, ^9 C
[ set color yellow ' ?8 R# ]4 l9 q6 Q( _$ F
set age 0% y& \, X6 B0 S4 v" }
face one-of neighbors4 " C. ?# _, U# S
set life-expectancy life-expectancy-min +
7 F/ C+ C( _0 Z3 V& N0 m! H random life-expectancy-max + 1
2 M+ F f# G& j8 h set metabolism 1 + random metabolism-mid
; D8 ?9 m" M I2 h" _ set wealth metabolism + random 30
# l: X4 R) i& S3 Y9 | set vision 3 + random max-vision
* u7 p: e4 ]/ U2 z set wealth wealth + Wealth-inherited-mid]2 L! k- a5 I, N0 h" l% i
[ set color green
4 ^& {$ k1 x; s3 f5 U set age 0
7 a8 @1 K. |( |: P! Q* i% f face one-of neighbors4
* p) ~& r J: j* ?, H6 A. O/ V set life-expectancy life-expectancy-min +( V& [1 k1 q4 ?: G
random life-expectancy-max + 2
+ Y: b9 T, i2 _6 v. e1 N% i set metabolism 2 + random metabolism-up- c. W* x" n# a7 p0 Z- w6 W3 J+ A
set wealth metabolism + random 30
2 J- B( `5 l1 u$ [1 ] set vision 3 + random max-vision
* R& g$ |, s8 M+ b/ Q% G5 O set wealth wealth + Wealth-inherited-up ] ] ; U9 h5 L8 s4 V( _& {- t1 _0 N
: v0 U; ]" A+ B4 k. ]% b% Y1 Hend
E o; `5 j# z# m/ uto set-initial-turtle-vars-wealth) [( o# S$ H% {- c+ _4 W* i
let max-wealth max [wealth] of turtles
7 T$ ?! {3 m1 W( Q3 e6 S% M set age 0
; P, U! k' E4 h; H/ d' a% U1 l face one-of neighbors4 ) R w4 u B- L7 x5 u
set life-expectancy life-expectancy-min +
- R7 t5 q6 _& n+ O6 G7 A random life-expectancy-max
& J h; _# X+ s8 C set metabolism 1 + random metabolism-up
5 j. o b s* U set wealth metabolism + random 30
5 U$ Q" @. \& e% ^! e set vision 1 + random max-vision 1 H9 R2 }2 u( P5 {9 f1 E4 D
end
j: q+ P8 E+ M4 k. xto redistribution& n/ X4 y' l5 U! S+ S# q8 m7 G
let max-wealth max [wealth] of turtles# `9 g, ?0 R; H4 i9 F; _" H; C
let min-wealth min [wealth] of turtles3 N) x0 V9 q9 m( k3 }0 E
if (wealth <= max-wealth / 3)3 D# m z$ E k" ?, @3 h% }0 u
[set wealth wealth + Low-income-protection ]
! e( Q: i9 r5 u8 ?end2 O3 j) N; O/ l2 I# ^6 q
9 k) P" D# `* k' \- S2 o0 {2 T
to recolor-turtles
2 z: n* w8 X' ] u# J/ S9 r& m let max-wealth max [wealth] of turtles
- a9 v4 C. t3 g* `% d( C0 N* L ask turtles; ^! ^ E: n& x" `( H, u% F& e
[ ifelse (wealth <= max-wealth / 3)
( |& a1 g) Q) I& r [ set color red ]
: l1 a% U( p9 X5 I [ ifelse (wealth <= (max-wealth * 2 / 3))
% f' l' ]3 h2 W. g$ n/ L# _- H [ set color yellow ]
/ K: ]: Z' w# A [ set color green ] ] ]
) ?- e) ]" x! {5 v5 v, l ask turtles [ifelse show-wealth?/ F+ [. M& q3 q4 H
[ set label wealth ]- y- l: p, a' J+ I4 w) j
[ set label "" ]]' ]) N" R9 O: a+ b
end
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to go/ K4 k" x0 E$ F0 x- P; y# [5 |- z+ T
ask turtles
0 I/ V3 O8 X" }6 O2 o B4 U) @ [ turn-towards-grain ]
$ L- X! F/ M. A0 F harvest
' o/ N- u5 Z$ V+ b0 x ask turtles
2 {( M8 a t* H5 n [ move-eat-age-die ]- Q& D* s3 r5 a7 x% |1 A
recolor-turtles
% M2 ?8 E! J5 {- I if ticks mod grain-growth-interval = 0
4 d7 ?; }+ b; o0 x- O! g [ ask patches [ grow-grain ] ]
# ^# m0 N' @. q2 C. T; ]9 S
% u/ q% A% ]7 G6 h4 E+ y if ticks mod 11 = 0
) C; Y: u, f. n8 p [ask turtles
( }) f$ ^. ?( ^. B [ redistribution ]]0 E7 o" k4 i; l" ^8 |5 s# n/ x
if ticks mod 5 = 0/ X1 m5 p# b- g; Y7 J6 c
[ask turtles
3 |* ?' Q# k1 e; q1 {' s [ visions ]]9 b2 {0 N' h, r' K/ }
tick( c* j% h9 K. s9 @/ u
update-plots
. v( a! l( v4 [end
) U' V& P5 v$ E9 a0 U8 sto visions
! [5 p/ X) e" e/ p set vision vision + 1
# `& B- H8 @5 b1 j! @5 _end5 W+ ]4 Q# L/ h F# J7 A
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4 o2 ?; F1 s0 _
to turn-towards-grain
! r6 [' H5 G+ o% |. q! C# c2 x: Z set heading 0* c7 F- r( z3 D$ H. S7 A
let best-direction 05 z, W' i/ w0 a" s8 L# {( _6 P, J
let best-amount grain-ahead
5 F) C7 Y9 Z( [$ K4 h4 D6 l$ l; r7 U set heading 90
" w& ^2 l$ I2 ? if (grain-ahead > best-amount)1 N4 \) [) T v* L/ P5 f
[ set best-direction 90( A: a+ ^; T9 Z: R5 Q
set best-amount grain-ahead ]/ O2 F! o% Z5 I+ ^. h* R
set heading 180' O' C- ^4 T' d3 I2 ]! B3 F
if (grain-ahead > best-amount)
) s: r& I" e7 x& q8 } [ set best-direction 180
3 c8 ^; d" k! \ set best-amount grain-ahead ]
: K' h* Q9 N3 R6 Q set heading 2709 l( ?+ E1 t" k" f
if (grain-ahead > best-amount)
0 s: J& u% d5 g0 T+ Y1 M0 [- R [ set best-direction 2704 D0 t5 ~! z2 ?+ k. C6 N
set best-amount grain-ahead ]0 W- f8 m0 F% c3 ~; p
set heading best-direction8 O. F# b: T7 E$ m l) s
end
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: \ d$ Z |( S6 m. I
to-report grain-ahead
' k1 z* z z5 v. I1 L+ @, k let total 0
) |* _$ J2 X% v- T; L/ v+ e6 Q% x let how-far 19 l% A( h4 C. D- L1 Q
repeat vision
) u H; G6 S4 u [ set total total + [grain-here] of patch-ahead how-far
1 B$ [+ i* c u9 K set how-far how-far + 1 ]
7 q6 W# r$ w* k ? report total+ h9 e& U- t) c( r8 z
end. \7 F$ k8 V% q8 Q1 B) f5 p' p* ]
7 d$ Z, G& w# a" E) Z9 A, {8 h
to grow-grain
1 y) s( o% u2 A+ l if (grain-here < max-grain-here)
- z5 P7 @+ W7 U. V& Z; q [ set grain-here grain-here + num-grain-grown# \$ @% K7 \; G( q0 E4 g0 i+ J# y& S
if (grain-here > max-grain-here) % j! n. b9 x# z1 R) n" J# j
[ set grain-here max-grain-here ]( ~4 a0 }4 w% p* X
recolor-patch ]
3 k: @) g9 l) }! S8 rend( a; T: i: J* y0 n6 e' k
to harvest0 u6 P1 K0 a2 F" {1 S. P j9 v" @
ask turtles! e2 Z" ^% B8 x: v0 V2 L
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
+ d: e4 X3 @4 M2 X ask turtles3 k' S4 e) L) M" U& Z3 W
[ set grain-here 0! Z) l2 N+ r7 b
recolor-patch ]
K3 Z; C# N" i$ t# w3 \ % c5 w o0 i5 I! L! A/ @; z, k1 P
end) t" @9 ?0 ?" H. o: ?( F/ l. k
* {4 H& a& n5 Q# ^" N( Z* G$ F5 M
to move-eat-age-die
; A0 A2 v D! C fd 1
, r6 ^% Z$ w, y2 o set wealth (wealth - metabolism)
9 j9 D) i: m+ X2 j set age (age + 1)
" F. r" w. h9 X( b' {$ @ if (age >= life-expectancy)4 b5 W& n" y* A: N' `
[ set-initial-turtle-vars-age ]
4 G8 L/ D O: n. Z3 @& P( F if (wealth < 0)
) l( ?9 ^; ^% T" `" w# J5 B [ set-initial-turtle-vars-wealth ]
" t$ g( z# O( B ( }' {( ^: R6 v! Z6 K
end
% h' z# K* y* c5 ~9 ~6 E( i
2 K3 D6 @) ~5 ?; K
( ]7 V' x7 ?9 e! Jto setup-plots
1 l: V: q) C) P: f( N set-current-plot "Class Plot"
! ~; ?4 \, R/ Z. k# V. _4 f, p set-plot-y-range 0 num-people5 {7 K$ G$ ?- Z
set-current-plot "Class Histogram"
7 z- Y( L( b3 @ ^% {( i3 x; L' e set-plot-y-range 0 num-people
% |2 b* R8 F% R1 }8 Tend
. o; Z% L: }/ i+ v, A# X& x, d8 v x# r: o" z
to update-plots
* F$ p3 L( s3 @% Y update-class-plot
# S: G% w; W# B5 N update-class-histogram
" p# b$ ^. o2 X! E update-lorenz-and-gini-plots
7 v, g( f5 s" c- t* y0 V% ]( B; a" d- Eend
! E4 Z/ A: I g5 G& P& ~" W2 t2 ~1 X% {. t: v/ H( R+ K. x1 x! |% [
to update-class-plot- a ?3 d3 h" \0 b
set-current-plot "Class Plot"
* @6 d+ R i* Z$ B$ o* _' Q set-current-plot-pen "low"
" q/ n' a5 e) V- L- B5 U plot count turtles with [color = red]
" R# V* o8 X3 k3 s8 K set-current-plot-pen "mid"
* S: b+ J9 l+ ~' `$ l8 V plot count turtles with [color = yellow]* V& B/ i2 [# H
set-current-plot-pen "up"
2 f4 n" T# v6 G" F plot count turtles with [color = green]% I7 e$ W, S# j; U7 l
end* R3 _: {! L& y' W# S: k* y
" g6 u6 C( [( V; s, u% t
to update-class-histogram- y" Y3 `% x. x, F) p5 e* }+ f V: H
set-current-plot "Class Histogram"# T1 r# ~1 n/ S& O6 y) f+ _+ Z
plot-pen-reset: }/ B- f& K2 b4 U9 d, R! X% ]$ S
set-plot-pen-color red
" u) u1 h7 w, U- i' j* M plot count turtles with [color = red]* D, g1 A( r/ X
set-plot-pen-color yellow
6 ?7 f4 E" t! x% c3 B7 I# o plot count turtles with [color = yellow]
! F6 R) H% z+ [ G- ]+ S# [0 b) z set-plot-pen-color green
/ V O+ A+ W# k0 t( K plot count turtles with [color = green]
A9 {8 E( E: x" Dend
: s2 F5 z$ D: @( X& n& ^3 ^. Hto update-lorenz-and-gini-plots: `. X, C4 i; \& u) S; h) \
set-current-plot "Lorenz Curve"
+ R. o. i9 J/ ~ D1 N1 @, L clear-plot
6 n: D0 m6 |7 m3 t$ L4 T0 F+ p0 h
6 \& e" D8 d+ N3 [, A1 V set-current-plot-pen "equal"
* a" U$ o; O3 Z* e& } plot 0
% o% C$ J3 O ]3 Y: p plot 100
8 k, l2 V% j. e( x
I% T" {+ B- n7 S" J! ]( @- i set-current-plot-pen "lorenz"
# g2 k( l8 M; Z: a5 B. r set-plot-pen-interval 100 / num-people2 J) B3 E8 G4 \4 `4 S' s9 i# a
plot 0
2 ?5 v5 q7 m1 t1 r9 c8 p5 H; f1 H' {& a" x l- X5 U: z
let sorted-wealths sort [wealth] of turtles/ P: G5 M/ ~/ P: c0 N8 o" G& E
let total-wealth sum sorted-wealths9 J6 u" p2 h0 V8 f$ c( [
let wealth-sum-so-far 01 y3 d9 ]+ o6 p4 |4 k# ~
let index 0
& v( G$ q, n, H/ j! w3 E let gini-index-reserve 0
% N" p$ R; }# S' \, a8 i# s/ J& N7 C# K6 O- r' G/ j* N9 O8 `2 u
repeat num-people [2 ~9 d: B+ m3 [! I% O9 [% _2 f
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)6 t. T# M8 t# m3 |
plot (wealth-sum-so-far / total-wealth) * 1001 W6 K, I) M7 b# J# I2 F& a- ?
set index (index + 1)
* }/ e1 R @5 j) o3 z, Y* u( G. P. { set gini-index-reserve
# |8 _& x9 a9 V U gini-index-reserve +
+ u. r. O2 z. V1 F! J u5 z (index / num-people) -
, m1 \$ m8 N- \ (wealth-sum-so-far / total-wealth)
6 {8 p1 E$ K0 C8 G& V ], q% m2 g- j$ _# Q! K9 @ A
0 D# |" N1 e' y2 Z
set-current-plot "Gini-Index v. Time"
' T3 d( T) O+ J' M* ^ plot (gini-index-reserve / num-people) / area-of-equality-triangle
: v. J z' o, e+ a% T Y5 j1 M3 l: send% l- c8 e9 g/ j+ A( k3 L/ h
to-report area-of-equality-triangle& N( K: `2 M) m. S: X
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
' H- Z' ]) k, kend |