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 m* Z# K8 B: u( m
globals" K, j! i$ ~+ v5 O+ {! m! }1 R
[1 p$ Z/ `6 A3 `# `1 \
max-grain
9 D$ K/ j9 g" A$ k8 {6 j4 l, q3 ], V' S
]
7 ]$ k3 h7 d+ `
$ |" R; W9 m9 b/ A) w" I/ Apatches-own( x- j, @2 |- q& d% R: G
[
' C7 N7 Z3 B9 V4 ~* x) D G4 H% i7 z grain-here
3 u9 H: t, H! w1 N max-grain-here
4 Z: y! x4 Z# i7 ~/ P$ }3 d]
& |3 m5 ]2 @4 N5 r2 d9 D3 e& @) }. o6 F. Z
turtles-own
% o4 R$ [# J; D& T[
! s) U. U2 Z0 g4 ` age ( F5 \# e, Y+ @* y
wealth
; p/ p# A% t. S6 U life-expectancy
9 E1 [, f" h0 G* a metabolism
$ W& _; u1 P6 e5 i9 T vision
9 v! v0 S0 G) E: i& \' I inherited
; @5 t N" g9 ?& a; H: p: n]- N, o. J n# N* b( t
& R& \+ \! d3 m5 W- Y
' q7 x. W0 m# I$ M/ a3 H
to setup
c$ \8 e$ z5 F g) b; V# f. ~ ca& E6 f4 e% @* d& I( c- z4 d
set max-grain 50- j# a) n' V6 M l
setup-patches
' i R& k; ^) R: n: b, _ setup-turtles1 k$ w8 [' o& |& k: |3 j
setup-plots1 B% \: x1 y4 L5 O9 r- C% `
update-plots
! Z: w: e, H2 s: }4 Vend! ?: q# `: F# V3 X( ^5 H
to setup-patches
5 f9 F0 U* e2 j: y* l0 f ask patches
, A! P( r a9 F2 Z/ o [ set max-grain-here 0
8 f& \7 [ ]+ \9 o, w& [0 _ if (random-float 100.0) <= percent-best-land: ^4 |3 P% @) X% k4 J
[ set max-grain-here max-grain
3 _, Z; b6 s+ K9 p# A+ A5 ] set grain-here max-grain-here ] ]( c; `' [* J7 P: t
repeat 5
! K; }' c9 h5 j4 M4 V( D& ^ [ ask patches with [max-grain-here != 0]
/ C! T8 }9 Q, H, u [ set grain-here max-grain-here ]
! y% Y& Y& B/ O: o I diffuse grain-here 0.5 ]. d( i& E6 n9 j" t* Q1 U/ @0 F3 [
repeat 10
3 a; B5 |0 h5 F3 y4 b. |7 G- W8 k [ diffuse grain-here 0.5] ) G3 q, d1 h6 o" s f5 ]9 D+ g
ask patches
: r8 q- v3 T: u$ P" y1 I" C! Q/ u& R [ set grain-here floor grain-here 5 |* [) V2 c* a
set max-grain-here grain-here
* J9 o1 N3 d3 c+ v recolor-patch ]
3 F9 {) k/ C5 e" `. B3 aend
" S, \ ]- m; F6 Y+ K) Xto recolor-patch
" U% V$ Y8 E1 h1 F4 }) T. S set pcolor scale-color sky grain-here 0 max-grain
: N+ l9 B2 u7 ~* m0 J. U4 }end( p$ a9 f q/ w T1 Z# L
to setup-turtles
# D( e4 y& i' r+ h set-default-shape turtles "person"
l: Y' E$ ~; P; D4 P) h0 w9 H& s crt num-people6 _; i" S7 d; U8 k2 ^% D1 E: @
[ move-to one-of patches % m0 L8 Q7 l' K# t5 G
set size 1.5 5 W( m* f0 v; [+ w' B
set-initial-turtle-vars-age
4 g p8 |3 F* J* }4 c2 X set-initial-turtle-vars-wealth( i, e( K# P. j3 C
set age random life-expectancy ]
. x+ y+ [" Y' Q2 y$ K6 } recolor-turtles
@ G% Y$ ?' t3 Yend
, B ?/ \& G3 g% \2 z
+ ^2 P" h& F1 n6 Ito set-initial-turtle-vars-age
+ y/ ^5 R$ y5 D% Q, x X let max-wealth max [wealth] of turtles
! L6 p* I( `7 Z% q+ S9 ? 2 h# c4 T, Y) t* `
ifelse (wealth <= max-wealth / 3)
3 J! i% D* B& Z& W1 F% R8 X; d+ q$ j [ set color red ; B3 T* N: v/ j, o8 `2 b
set age 0
8 [- ?8 E4 B+ \ face one-of neighbors4 ' y+ S4 r0 P# D" R
set life-expectancy life-expectancy-min +
1 Y/ z% t0 ^# R2 Y3 ]. ~; M random life-expectancy-max " [( W$ d2 `: `# _% J7 h: P
set metabolism random 1 + metabolism-low0 ?9 P& _/ P1 \- U! b" G( G e
set wealth metabolism + random 307 g9 }3 i; y9 z. n
set vision 1 + random max-vision" y# L0 ^/ o- n# U; V
set wealth wealth + Wealth-inherited-low ]! D: M* H- V$ C0 ]2 o$ `
[ ifelse (wealth <= (max-wealth * 2 / 3))- R8 c( L$ E; S- ?' x) O4 v
[ set color yellow 5 }* [, t, W" v% j) l- I2 F
set age 0
- J. A% a# h& j" E/ n5 i, i8 [* X- B face one-of neighbors4
5 z# L" F1 {% t' L( c/ G3 s set life-expectancy life-expectancy-min +
! X5 u3 _6 @$ U2 g4 A random life-expectancy-max + 1
7 V3 q' p5 V# J5 p, R set metabolism 1 + random metabolism-mid M) ]9 @4 z& p
set wealth metabolism + random 30
# X$ h* a* c8 ] w# \7 c; _7 w set vision 3 + random max-vision
- a$ \6 J: j+ _7 ?/ z set wealth wealth + Wealth-inherited-mid]
% E& g# `$ Z1 h! q [ set color green
; Z3 s2 p4 Y: N" U1 x; C6 m- p set age 0
, F7 N9 l/ }- s( D: W s! u7 i* | face one-of neighbors4 ; T3 P& H, i* o
set life-expectancy life-expectancy-min +8 D, ?, S/ q; @! x. ?, u
random life-expectancy-max + 2
# w2 V$ p5 z& s# k Y set metabolism 2 + random metabolism-up# f7 P) P. Y6 C2 N& q# P6 X
set wealth metabolism + random 30
. L) c4 B, i( Q; x0 V7 o" q& e set vision 3 + random max-vision% E- }& l* w$ u! s* h2 e. S
set wealth wealth + Wealth-inherited-up ] ] ' K0 U4 X: N" ?' l
6 x: q" W+ m3 N! h- e) y: g
end
' M- O2 V8 w: C5 \, I4 O2 _, n" e* t2 cto set-initial-turtle-vars-wealth: P, ~/ E- M9 N, \( `. C& k
let max-wealth max [wealth] of turtles
% z8 f( g% o U) n9 y set age 0# O4 L! q' b5 c7 g V
face one-of neighbors4 , g! B. O. n* Y" w; ^- W
set life-expectancy life-expectancy-min +0 }9 h" k# n$ {1 B* @ m
random life-expectancy-max
* ^ n X- ^: P {0 } set metabolism 1 + random metabolism-up
P( V$ b; x8 W9 n, S4 q* P set wealth metabolism + random 30
) x5 w5 i( l! j( o% ] ~ set vision 1 + random max-vision * p. I$ W0 n# B; r
end; X# p' O) r! { a3 _2 r
to redistribution( G- c6 N9 Z, |- t4 |5 F
let max-wealth max [wealth] of turtles
& Z( S1 f* t/ h/ p8 v: ylet min-wealth min [wealth] of turtles
: B% p2 P3 ^1 ^+ Qif (wealth <= max-wealth / 3)
1 _# y; N+ y$ @3 f5 c& ] [set wealth wealth + Low-income-protection ]' c/ ]) Z. k7 ^9 ^$ g9 X- @
end2 `$ f U. s+ N1 B) ?
" l. e1 Q7 u/ u! A- Q% |to recolor-turtles7 F! g% h2 L! @# n/ f: s
let max-wealth max [wealth] of turtles
( R6 C0 t* N7 B+ ~, T- C7 e$ p ask turtles+ J/ {; `$ Y0 ^! V, H2 A' a/ j3 y$ V
[ ifelse (wealth <= max-wealth / 3)
0 v) |! w4 t, z, b [ set color red ], u. o0 J7 j. H/ P( g. ?
[ ifelse (wealth <= (max-wealth * 2 / 3))
. D+ d- F5 T( T6 s9 [* N- l [ set color yellow ]
: H, P7 ?0 Z/ R- a7 E6 U. _ [ set color green ] ] ]
; h8 D* o3 E, \* L ask turtles [ifelse show-wealth?
0 H( d! i x% X g3 ?: |) I [ set label wealth ]& j& h3 u5 I4 i4 A
[ set label "" ]]
0 c* m2 @& ?* M6 R( u) fend2 g. y% Z1 g2 W" x
% F5 z& x* @) O# I' f# a7 ^% Ito go' ]4 F! T+ F& O0 M, M* t* i _
ask turtles- U) |3 x/ I. S8 }5 R/ O, s7 D [' y3 e
[ turn-towards-grain ] 9 g" s: j8 {3 g1 H7 V3 W6 e2 [
harvest2 g3 p, a5 x, j6 L4 N1 h
ask turtles3 ]9 N, {, N1 g8 {. r
[ move-eat-age-die ]
' {# x, x. @ }: q5 r recolor-turtles+ N% T2 i$ K0 q$ c6 a) R
if ticks mod grain-growth-interval = 0
2 I: y" o+ A# A0 D( ^. i. z. \ [ ask patches [ grow-grain ] ]& \' p( f( L9 r8 f: P+ ^! G
0 o0 [: @0 m: H0 T) c5 z! @- y2 D% P
if ticks mod 11 = 0
1 A# l7 g3 M8 _1 o4 p# M [ask turtles
4 d) r1 F) d3 } [ redistribution ]]
1 W% V2 p/ _1 C if ticks mod 5 = 08 M8 D( H5 V- }7 O
[ask turtles
" A) t" D- L- h* f, L [ visions ]]1 F' ~" _* c$ |, ]# C
tick, n: t6 u2 T1 ]3 @7 z
update-plots
6 G6 S8 k) | a# u: uend2 U6 a5 A- W; C) d9 G2 l+ F
to visions; B7 u1 A' P. |8 j
set vision vision + 1
+ F& U. N2 h4 _, O5 zend X/ y# h% O6 K1 X$ o* F
4 y: ^& b, [+ r
% ?3 x* X6 L4 ^2 _' Y
+ ^% t, ~% c& Y: }; l
to turn-towards-grain ! @$ j z. N8 w A* E( @
set heading 0) l# @" l9 c/ d, K
let best-direction 0
) C2 k; J' _8 {: W* M! z let best-amount grain-ahead
2 Y* O) d% s7 P4 j3 [2 I" [ set heading 90( ^/ ?" v9 D& ~ O; P& @
if (grain-ahead > best-amount)
% h: b# U, K* B% x" { [ set best-direction 908 K) k8 j0 I6 e) y+ {! T- ^
set best-amount grain-ahead ]
G" A# w. P, A7 T. } set heading 180
' Z/ K+ p% d& H# i if (grain-ahead > best-amount)
G, n% [5 w' u, T# k [ set best-direction 180
/ U; `0 X$ Z0 J0 X set best-amount grain-ahead ]
+ P3 K9 ?4 N' [' |6 w% n set heading 2704 l! j# T# V2 g
if (grain-ahead > best-amount)
2 H& O+ Z# ^ F. ` [ set best-direction 270* p: e/ E! ^: Z# U6 q4 u
set best-amount grain-ahead ]& U7 `: T) E* Z/ O/ P
set heading best-direction7 V3 F0 N, d& ~7 }- Z
end
9 `" j9 m2 N$ y6 d" M4 b' a8 Y
# V7 H9 I$ S& C; o4 A: @6 u& T3 Q0 k2 d& X1 j* _2 Y% w
to-report grain-ahead ) V. ^" s# K4 L3 H8 x
let total 0
' E3 Y- g% L |: }" e) q- g let how-far 17 ]- n" S9 @0 V9 S
repeat vision
+ A/ @) Y% h! Y, S5 g/ d5 F! X7 P1 | [ set total total + [grain-here] of patch-ahead how-far
8 c" w C2 Q C5 R: E. B7 } set how-far how-far + 1 ]: s! d' h4 L# e, e: m
report total t4 E$ O' H" U( k! X
end2 T( W" [/ s1 s' B* J& u, d
$ `2 T/ f, b) C& B' d
to grow-grain ; A- S4 m, L( [/ h& P
if (grain-here < max-grain-here)$ H; j$ n7 @+ o! C9 \2 F# s
[ set grain-here grain-here + num-grain-grown
* V. t. V5 ~9 }# r; _ if (grain-here > max-grain-here)
9 T0 O9 Q+ K' k; p; g2 | [ set grain-here max-grain-here ]4 } U0 b) m8 [% @5 K
recolor-patch ]( V# ~: @% P" T9 w6 k- i: E. ~
end
0 [- z @( a: ]; {& Kto harvest
8 o8 `/ ]$ v2 N3 w- B: B ask turtles1 \. k* x# m, W1 T, h
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
0 v+ ^9 v9 y' I7 {" l ask turtles
' d6 G- p" `- P P5 A1 V( ?+ L: c- E [ set grain-here 0
) r& n6 p1 ?: y) s# V recolor-patch ]
* R; a& c2 ~& z/ Q7 E5 u ! w5 ^7 _7 E! T4 z
end* T& v' @9 \% X Y
- e D; @ `! x. N5 N$ |to move-eat-age-die : ]* w3 V7 d0 a7 f) T( o8 S) b
fd 1* E& H( F* u) c% z# p- F. V1 R
set wealth (wealth - metabolism)( E& N0 z/ v2 N2 N ?+ V
set age (age + 1)! Q! I G* W5 X% E3 v, n+ [
if (age >= life-expectancy)
4 `7 G* f3 y4 G4 E [ set-initial-turtle-vars-age ]
( S& u7 v' |) x4 I% W2 @4 z, } if (wealth < 0)8 `/ X; e) B9 F* S/ {
[ set-initial-turtle-vars-wealth ]
& i; v9 V! ]7 G3 D( U( i) l5 }
/ {% l& o: S4 mend
t" H7 Y# D' ?; V$ G
2 r. l9 b T% m2 c5 R. o" \" c' z T% o+ S
to setup-plots
" n; V! ^* T9 X' J* K set-current-plot "Class Plot"
3 ^; a+ h) H; @/ j& k( W set-plot-y-range 0 num-people
1 L+ ^: d, z: I6 N6 q$ s set-current-plot "Class Histogram"
# h5 I! ~3 @ t* m+ u. L( w set-plot-y-range 0 num-people
0 R3 E& T" |$ c* d7 r/ Wend) f2 `6 c; U3 @% x6 V
; X: q/ z; I- @0 rto update-plots+ z, ?* f% _6 A+ v9 n& o$ J1 M
update-class-plot
7 _) p2 @# q6 L( O update-class-histogram
! T, y! Y* T# p4 p! t- {; | S; ^ update-lorenz-and-gini-plots2 z4 @/ a M1 x o( c
end* Z! ^0 q- d* \4 R
/ u8 \) @ a3 S9 o) q6 Q) a
to update-class-plot, {" S3 |( g8 K" n
set-current-plot "Class Plot"
, ?; b2 E, M( U( n0 T; p, y set-current-plot-pen "low"2 h/ \8 _4 r( C' M
plot count turtles with [color = red]9 P. j! y# a0 G8 F+ t
set-current-plot-pen "mid"0 l m7 h) z2 c. L
plot count turtles with [color = yellow]
2 ?! w4 B/ P+ z+ P4 Y) ]& g set-current-plot-pen "up"
4 z3 s: x u% m Q4 E) h+ e plot count turtles with [color = green]2 S" }8 a; S2 Q9 ?, {. e+ C
end
M& h2 g- ?. x2 ]" }/ l1 H* Z5 h: u* d* G/ F4 E' c
to update-class-histogram) r" U5 o$ c( s$ `( E3 T
set-current-plot "Class Histogram"2 I. z7 N: C. t" `" J/ d* V
plot-pen-reset& p+ N! N; b2 t L/ x
set-plot-pen-color red
7 X# _+ X) M* W1 Q; J plot count turtles with [color = red]
# N6 A+ R6 h( q( a set-plot-pen-color yellow
; R# J2 N6 N5 e% i% c; L plot count turtles with [color = yellow]
& r0 F$ |4 J" C set-plot-pen-color green$ m3 c, `) J7 {( C2 n5 S1 B
plot count turtles with [color = green]
. k- n0 F. @3 c3 c2 H4 g! I: {. yend6 f( C/ @3 D; I* i2 x3 K
to update-lorenz-and-gini-plots/ ~! h* b3 g1 b% X0 O' V A
set-current-plot "Lorenz Curve"9 {, K* `+ x$ Y7 l" ^
clear-plot$ X/ n+ o+ m1 y8 K: _
0 i( M2 a5 g( g! @4 a! k5 Q
set-current-plot-pen "equal"+ C) L5 V v- O. v" q1 g B
plot 04 Y. z+ y+ f$ {5 M+ y
plot 100& d4 H4 S( Q) `7 X, E d4 r
: C- e: Y9 H1 a/ S$ d7 v$ Y set-current-plot-pen "lorenz"5 G! o/ O6 X0 C' r
set-plot-pen-interval 100 / num-people% k; t9 A8 n/ x* G" L( [+ u# h9 R
plot 0
+ k6 L! i6 r5 b8 Q5 x7 V( c* t- L% V h) ]2 l
let sorted-wealths sort [wealth] of turtles
) o, \; |! s5 r3 d4 } let total-wealth sum sorted-wealths% `( {& `- N7 Z# t' g; S& r
let wealth-sum-so-far 0
J" x. o/ T' e' {; ? let index 0, g7 j( \, p, ?4 r1 ~4 X1 [& w
let gini-index-reserve 0 @7 M0 D! t/ d0 d2 r5 O. k! Z
# A9 k1 u. I; O repeat num-people [
% F$ ?1 v3 w' K5 ^ set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths); O' R9 m- B' c% }9 e
plot (wealth-sum-so-far / total-wealth) * 100
& K8 V$ {3 m; d# C" f8 \ set index (index + 1), H) a6 |7 A: o/ [! Y( w }! H
set gini-index-reserve
# p. q6 r* @( a, v3 m( j gini-index-reserve +
( B# w6 Y6 ^) {9 F+ V6 y (index / num-people) -- {: d0 z$ L2 @. K
(wealth-sum-so-far / total-wealth)
4 s `3 D* f7 s. k, U% W ], z$ b4 w2 v4 C8 M( j
a! K( K, d, ]& M6 I6 ~% v1 ]) Q set-current-plot "Gini-Index v. Time"
' Y. J* C6 L/ }& i plot (gini-index-reserve / num-people) / area-of-equality-triangle3 R x3 i; u* I! i( \
end% M' B3 Y7 d$ O; e* f
to-report area-of-equality-triangle E. b" r( I; d P! ]: I. P( P
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)& j3 R. q; t% S9 C
end |