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
% H/ ]; ~ B [% N' jglobals! J' |( [( X* @0 `, i2 ^& Z
[6 c- v$ B+ Q. q- w
max-grain 8 x$ _9 z; E/ {4 u+ y0 c6 E
, m- `6 C' g( X0 l]
5 z# P3 C7 {0 c+ V. C$ ~ L$ M+ q5 A4 |0 @: _* N. S1 y
patches-own6 |5 q: _, U) l' O6 O. l: b
[) P! k+ c/ Q# P/ R2 x
grain-here # `' U7 N/ U- K5 I% f% z, R
max-grain-here
( v) U4 M3 n) i5 l# T]" b6 v; C# d) R; _- }
i4 |5 q' G+ ^7 cturtles-own0 D- v1 G1 c- H2 @& Y( ]
[6 P4 p; k& Z5 g2 w& y
age 2 Q7 ~, l& J* q; |( ]0 H
wealth ( u& x0 v6 I9 [/ W6 I( o% T
life-expectancy
5 c) c0 o( ~% w$ V metabolism 1 W* D( O l, j" E, N$ E
vision/ p0 I, o1 x9 ?
inherited
: v0 Q6 e# I; }" ~2 I% X]
9 b9 ~7 J. O7 j& z, v& d0 X' J" c9 g
]) u/ o3 O# q% i- L- h+ A' d( q& w: _2 |; ~+ W
to setup
) X7 f! R3 B! m4 \$ f ca# o2 D }# \1 d5 L V! ]+ ~
set max-grain 50
/ c' B! o) u+ d/ v& w setup-patches
- q# C3 J3 P% T- M! T* g; E' u setup-turtles* F0 N# m9 i% }* N9 d; z
setup-plots
# j# g4 U% `' A6 e$ }, S& M0 ^ update-plots
4 _/ r* V" G5 N# uend1 v" [9 m0 _- p% t
to setup-patches
) S! I9 b- f/ A$ r" Y ask patches& ?, ]8 H r! _- J
[ set max-grain-here 0
2 K4 x5 l! m( A. p: j if (random-float 100.0) <= percent-best-land3 q. r& C: H; l# _
[ set max-grain-here max-grain
* y, r) o. B1 P9 B7 A set grain-here max-grain-here ] ]
. i2 h3 R( s$ q2 d) M repeat 5
0 B8 A, P& `1 A; o7 c ^ [ ask patches with [max-grain-here != 0]
- B6 x F' I! J" l( S( J: m7 v [ set grain-here max-grain-here ]
& B m0 [4 B1 u diffuse grain-here 0.5 ]
0 W1 {+ R& p# b5 a5 b) ` repeat 10! K! [. e1 b- B/ j* Q
[ diffuse grain-here 0.5]
& g$ F9 O5 [& W7 z& v ask patches
, Y8 E+ ?5 G! [* R' k W [ set grain-here floor grain-here
* ^/ B6 f& a3 m, A4 C3 Q set max-grain-here grain-here ! p6 R. O4 [, o- g2 m9 L; a% y* R
recolor-patch ]
$ ~; S7 e% Q) y2 [# B; jend* D! l$ J6 i8 x
to recolor-patch . f, v x$ x+ \; t
set pcolor scale-color sky grain-here 0 max-grain U5 a3 h4 W/ k8 n
end3 {5 D1 A1 X# h) @" T
to setup-turtles8 I- Z4 A" _! b
set-default-shape turtles "person"
$ m- [9 {/ C9 I/ k4 ? crt num-people
, I+ z0 y1 r5 T' ` [ move-to one-of patches
& V a3 B' |- M$ |7 G& u set size 1.5
0 W8 H5 \# q8 A: _0 ? set-initial-turtle-vars-age
6 V: G) K5 B% a2 N; n k set-initial-turtle-vars-wealth% D, d8 k$ V# v) d
set age random life-expectancy ]
+ h Y2 Q4 L3 W' y4 N) r recolor-turtles
$ e3 w0 a- ?$ S8 ]( S* q) \end0 E8 M) M6 p8 O* L# }6 `3 ] u. c
" i' B. s! S! Q2 z) E9 ito set-initial-turtle-vars-age
0 N$ j0 |0 f* u0 C let max-wealth max [wealth] of turtles
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7 L, b9 r' G* V! E ifelse (wealth <= max-wealth / 3)
u) T9 P5 h2 X( k n: ?' ? [ set color red
$ ?2 ` U4 o6 A5 O. R+ X set age 0
' T* s4 P t2 U& k7 l% x face one-of neighbors4
1 G/ Z, Y S6 Y set life-expectancy life-expectancy-min +
: O7 J, U8 Q8 B" n+ A4 }& H random life-expectancy-max
( m, b( d& x# D9 J set metabolism random 1 + metabolism-low( P, |& b7 G1 a8 a* e1 H
set wealth metabolism + random 30
- Z. \) c% O; F9 G4 h u set vision 1 + random max-vision
, M6 M' a! {. `* d$ X8 m2 Q set wealth wealth + Wealth-inherited-low ]4 Q z8 }$ R- |
[ ifelse (wealth <= (max-wealth * 2 / 3))
; H! t$ U$ R; R4 e8 p [ set color yellow 0 c# q+ h1 n e; _2 P7 O; l( \
set age 0
; M O6 b8 q; L- t \5 {7 \ face one-of neighbors4
# v+ \3 n( n7 I8 r" _$ _1 l* K4 B set life-expectancy life-expectancy-min +! X# U; t* X5 ^$ p& V, f1 ~
random life-expectancy-max + 1
$ n' L; m& s/ ~! W set metabolism 1 + random metabolism-mid9 \6 s1 g3 i3 i' z% d. A
set wealth metabolism + random 30. F W! z/ ]* b7 W. D3 b. M; k- n
set vision 3 + random max-vision
, C$ c2 p r: l, B! b2 ~ set wealth wealth + Wealth-inherited-mid]
' k/ M3 ?5 |: h' `5 s [ set color green 9 A0 K( p, ^% K3 x. F
set age 0: }) t9 l8 E. m' z; b G
face one-of neighbors4 X# ~ F$ ^% h* _
set life-expectancy life-expectancy-min +/ ?% Z( e3 E, {/ i P3 h- ]
random life-expectancy-max + 25 [: s' ?! A' i. @
set metabolism 2 + random metabolism-up- c& M- u: B9 [ f K
set wealth metabolism + random 30
* z0 B, P7 K9 t. |) C( C1 }4 ? set vision 3 + random max-vision
& q6 {8 P0 \7 _5 [4 m1 _/ I set wealth wealth + Wealth-inherited-up ] ] * |+ [' r J' x) k
3 h8 b; R4 G4 {& }
end& v7 u5 i7 F. I( v3 A) Q
to set-initial-turtle-vars-wealth2 i& P* h- n# r: ^- a; A
let max-wealth max [wealth] of turtles
" X0 U3 f+ j* e/ W+ ? set age 0$ c# C! x, n+ |# ?7 I& o- @7 v2 O
face one-of neighbors4
, Q0 w0 _$ D1 k set life-expectancy life-expectancy-min ++ j, g$ j( p. w7 c1 X8 e* J
random life-expectancy-max
: p! b/ w' k) X$ g5 a- S3 r set metabolism 1 + random metabolism-up7 D+ A9 G5 A+ a, f i9 X6 c
set wealth metabolism + random 30
7 J0 F# e) w3 { set vision 1 + random max-vision
- K5 ^- m4 ^3 k& z: O9 Q4 aend e* l# E& A. t* |- z& b) i+ Y
to redistribution
7 F0 }5 D* ~& m: c% Y1 U2 Wlet max-wealth max [wealth] of turtles
/ S( w; ]5 U' f3 s. Dlet min-wealth min [wealth] of turtles+ Z9 b9 l3 K- b P0 Z3 Z
if (wealth <= max-wealth / 3)
" C( B, f8 Q+ S* x8 V [set wealth wealth + Low-income-protection ]
" V$ K7 e/ w; v2 hend! m6 u3 _% [5 v0 U8 S
0 B# E+ S& e- H% a6 q Bto recolor-turtles
, W( h- j) C% s2 f0 m let max-wealth max [wealth] of turtles
3 h* `7 W; y. }* R) r; d; ?& S( u( _ ask turtles( j* c. Y! X' i+ h! z: V
[ ifelse (wealth <= max-wealth / 3)- B4 ]) _' c0 R" ^
[ set color red ]
% v7 y+ {% J8 y& }5 s- b5 J0 n& d [ ifelse (wealth <= (max-wealth * 2 / 3))
( P, x2 ?1 P) r; X q2 X: e" z [ set color yellow ]! P d$ E) X6 u/ f; J7 J# f3 K
[ set color green ] ] ]8 _9 V8 ^$ v& n
ask turtles [ifelse show-wealth?/ Y7 ]: H; U! a5 p n
[ set label wealth ]1 z. o: ?& Q4 n
[ set label "" ]]. D3 Z/ r; c; B7 E0 U9 m9 |
end1 G) C O$ G' q7 l3 K
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to go) h: U) h" h( R# p* s) G' x
ask turtles
2 |- w$ q8 Q& S7 X% `# B4 ] [ turn-towards-grain ] 5 E# x9 _7 x) B& X2 Q$ d3 ?
harvest7 W$ `. f+ u" z8 a E1 c
ask turtles
. q* I H% l/ r; f0 l [ move-eat-age-die ]) ?1 m" g' d$ u8 j$ H' Q- G
recolor-turtles
, d$ t& p, `* J" d if ticks mod grain-growth-interval = 00 Q. y% S0 b& F: H- H8 Q* G
[ ask patches [ grow-grain ] ]
$ A7 u! v8 P' d3 m % b# r0 ?# `4 `) R# A
if ticks mod 11 = 0' g+ \- E8 `" \. ]. Q: H: l
[ask turtles
0 ]* w2 H" M/ f: v, |" ^% J [ redistribution ]]3 e+ z: g: G5 J7 M
if ticks mod 5 = 0/ x; k, F9 y+ U9 q3 B9 `, l6 W) M
[ask turtles' r) M5 V; @; J8 D/ G
[ visions ]]
6 Z( ], h- d3 }6 n% X tick
. X8 T8 l) P) H2 D/ W. f6 R update-plots
* b0 S# ^" ?" gend6 a+ k* i- n7 A
to visions$ ~. r( K7 }& C+ @
set vision vision + 1
: k1 `; y$ N4 S9 S' D4 H {3 ?$ uend' n* y! A8 [$ a! J5 c, m. d& m
0 @0 m, K1 |8 k
2 S7 J# K& x9 d; H1 K/ S6 L/ a
5 E8 W; O6 [! O
to turn-towards-grain
7 {9 n1 d# ?* i# j set heading 04 d: L. @- p% Y/ @& O" }( H
let best-direction 0
3 W- X. v; c" H0 y! W: P let best-amount grain-ahead3 u3 c4 Y8 L* O4 w3 g- m
set heading 90
+ N! f7 y) P! D) \0 u5 s if (grain-ahead > best-amount)7 a2 C; [8 ?2 J9 D7 E9 V& \7 I& m
[ set best-direction 90
5 ]3 F" B4 X3 l; [9 q$ u5 S set best-amount grain-ahead ]
. K' t" X1 J- m set heading 180
! r; j: p. o( c# W# ^( d$ J if (grain-ahead > best-amount)" ~+ |; U) U8 x0 w$ c
[ set best-direction 180
7 d5 f1 u4 L8 B" _# Y8 m# a set best-amount grain-ahead ]+ A/ V5 o1 q: r5 {4 x+ [5 n
set heading 270( E2 {. H) J9 q6 n3 P1 C4 A8 K' Q
if (grain-ahead > best-amount)
4 z8 A* e9 k' e e2 F+ l* N \ [ set best-direction 270
2 T/ H* q! ^8 [5 j7 ] j set best-amount grain-ahead ]
5 J4 h/ v7 I$ m. H3 T( T. }* L set heading best-direction/ [6 ^: y4 k6 m5 F$ u
end- d! t: d! ?9 w) r% ^% M' S, g# Q
5 f! f8 x% R1 f. @+ L# ^/ Z
, o2 U% w9 d" c; S4 W% m7 p4 Nto-report grain-ahead . [1 n9 V8 O" U7 |
let total 0
" q8 |1 L" Y: k let how-far 15 Q8 ~4 A: K3 p. [- ~% z
repeat vision
, w" a0 ?! ?# A6 W$ h [ set total total + [grain-here] of patch-ahead how-far: p: y' [- b7 Z: k2 `+ g: D
set how-far how-far + 1 ]
5 V1 V) t& O9 d6 } report total8 m+ R) x* u% ^: }
end: X2 P( n; B- y% v( }
0 ]9 m) A! Y' ]# q& Ito grow-grain
' G$ i3 H e; }* \5 l if (grain-here < max-grain-here)
4 U/ o. Q9 O5 J+ N [ set grain-here grain-here + num-grain-grown
! ?/ n6 n7 {# z2 v& ~% y8 H+ Q0 f; { if (grain-here > max-grain-here)
% I w) @4 [; {5 I [ set grain-here max-grain-here ]
$ p" g6 f$ D, S4 i* U. o( x& ? recolor-patch ]
% e1 K( w+ G- Y- wend
3 l. p5 x- z4 sto harvest
' I. b$ {5 ]& p3 X, E7 V3 z* C3 ~ ask turtles
$ Z# L- Z) F2 ~3 d* @, ^* D) D ~ @ [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
3 `9 u- g* [1 m% F. _! f ask turtles
2 u$ U( B( j3 K: u5 |5 M( s [ set grain-here 0
5 b: L; k6 U. s% L recolor-patch ]
. ]/ h" \ }- h/ M8 I5 c2 h ) e% v/ {! A' E
end- ]* v, R4 j2 ~+ P/ b* g; I
- i7 d6 ]. D" gto move-eat-age-die
" v9 S3 ?9 K4 y5 u' `; u fd 1
! O$ m/ @! _# y5 m2 l. b set wealth (wealth - metabolism)
- D5 S' S8 I& z( l7 { set age (age + 1)2 Y" F( D: `- w2 Z- L9 l: J
if (age >= life-expectancy)
. s$ f+ o; H3 c; L8 K [ set-initial-turtle-vars-age ]& V. R9 G, @2 ~# K4 ?7 X1 V
if (wealth < 0)
- z& t- O7 R2 @% [4 t( u" V* r7 e [ set-initial-turtle-vars-wealth ]/ H1 G# i) B5 u0 i+ m: a$ ^: }' U
+ E& H0 y: Y1 T. @% p1 i
end6 }: z5 {4 p- V7 {! _% T
3 E. d' \2 f% M; u
# V2 C- i- d- _$ {) {2 E: z. V: j) Tto setup-plots6 e. X1 a: ]* J2 I9 V6 j
set-current-plot "Class Plot"
, a- u" M, D7 J+ \) C) c set-plot-y-range 0 num-people
) t0 q2 t* Y/ K; Y2 p/ D& A set-current-plot "Class Histogram"$ ^$ l* w7 O% v/ B
set-plot-y-range 0 num-people
2 d- i. |+ ]- I& H3 f2 N# x7 H# Fend+ V: a* E2 I6 z. H/ W2 B
3 t) p+ O* R% X. Y* d. Bto update-plots' s8 M; w& f; h4 O8 ^
update-class-plot% {% c6 w- f8 a. m: `" L/ f8 c
update-class-histogram' v O% ?8 [. C
update-lorenz-and-gini-plots
3 \; H9 S5 g$ n5 rend- m, x* s8 [: D
% `1 D, j) y, `* w% rto update-class-plot' h8 N c8 U/ J* N
set-current-plot "Class Plot"% Y3 D# i5 I$ |# X& C7 w0 W
set-current-plot-pen "low"
# z3 A/ I: h) T- K" p plot count turtles with [color = red]8 g& F0 ^1 d4 P$ ^6 i
set-current-plot-pen "mid"8 l( W, N! e E1 [
plot count turtles with [color = yellow]
# Y7 D( Q- c' _/ e. ]3 Z set-current-plot-pen "up"0 e, i; \) R$ g4 k% q0 | z
plot count turtles with [color = green]
& D: i! p* Q! |end$ [4 I* |) x! O) p: M. u \3 i% G
9 y1 E; ?$ D7 r# g) }; O, Y. h
to update-class-histogram4 N& J' K5 j4 [1 h4 [' r
set-current-plot "Class Histogram"9 k& e& e, c! f" J3 _, _) j+ u
plot-pen-reset
# M: i3 _& f) O! }$ f5 P' X9 [! U set-plot-pen-color red
! z' d' \$ o1 D: ^/ n plot count turtles with [color = red]& Y( Z2 p3 D& S/ b; R4 N
set-plot-pen-color yellow0 ?- _: ]5 U/ c' b* O9 |
plot count turtles with [color = yellow]
( l0 h7 x3 z; B/ ~ set-plot-pen-color green
: j; c, b/ p' N plot count turtles with [color = green]
% M5 X ~3 u! j8 @, bend: S3 a3 B3 r( Q
to update-lorenz-and-gini-plots
! g- v2 l$ S$ D2 u7 r set-current-plot "Lorenz Curve"
3 F7 s' z$ j! x9 O: h+ r0 G# `% ] clear-plot
5 z N8 h% _4 _6 M
/ X% [8 d1 Q( j7 Z5 M& Q u1 e3 L set-current-plot-pen "equal"' o' C& g! l' _/ D/ D# ^& U( u
plot 0& I; M6 a& G. F
plot 100
5 r2 T5 f/ z5 Y/ N; B! w7 Y8 o& r; F2 r% i4 q$ i c9 Y( i. B2 p3 ?; q2 d, q
set-current-plot-pen "lorenz" A: |/ B. v$ p$ H
set-plot-pen-interval 100 / num-people
2 Z& ~+ r2 d* W3 g4 c9 m. u' [ plot 05 r r2 g- C( P
& U( {1 g/ w# _( N1 E4 b1 o
let sorted-wealths sort [wealth] of turtles; d, W6 p7 Q0 L5 F }/ p1 v: k Y
let total-wealth sum sorted-wealths
6 T; O6 i3 k0 r/ U& Y! D( C let wealth-sum-so-far 08 i( E5 Y. D0 D2 b
let index 0+ j4 X# Q7 t9 a: W+ P, ^
let gini-index-reserve 0
6 D- ?; g+ ]" ~# N- o1 g/ p9 m; W$ t; Y4 V/ G
repeat num-people [& @4 N" Y e4 \/ ^, }0 l& C4 I
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)" f+ d4 b$ D3 R6 v7 x
plot (wealth-sum-so-far / total-wealth) * 100
. v; T6 q" N' v+ l set index (index + 1)6 c+ \+ _$ F# a; n! r" Q
set gini-index-reserve
4 x% Y: B) `1 ^3 i0 b gini-index-reserve +
v" s2 u$ x/ }: F' ?; g+ A (index / num-people) -8 f/ b& v$ s: K( b; {- o
(wealth-sum-so-far / total-wealth)
/ R1 h7 ^3 Q# x4 [ ]
* r9 E% Q. [0 p: R* m1 R+ U) ^5 V8 k! p9 c0 S, P. `& H# P
set-current-plot "Gini-Index v. Time"0 d2 h( p: w4 M) v) V" R
plot (gini-index-reserve / num-people) / area-of-equality-triangle
" v' s% z+ e) z- X3 pend/ n4 W) x- o7 b
to-report area-of-equality-triangle% d6 X( s8 h/ ^$ p# D# E% P
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)- b0 D3 [1 W. }+ M- ^% p# w
end |