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[悬赏] 求教:海龟的遗产传递问题

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发表于 2008-5-3 20:47:29 | 显示全部楼层 |阅读模式
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
" R: p4 Q* i+ f" R7 ^/ t% tglobals0 b* L: B3 A. N2 C8 J) v! Y8 z
[: p9 v7 U4 J0 P) y; t1 Q8 _
  max-grain    # L( q; S$ @9 f2 U/ x" y5 S
$ @# ~1 m7 ~6 X+ J2 N: T- y
]
9 r4 z) r5 U, E8 ~* X2 b( O9 V  s$ d2 J" S6 G# s- B& _6 u
patches-own
* L% V" E7 Z) {6 {- f8 y8 O' {[
. M$ \/ A9 b8 N, G; }" ^  grain-here      
# C! W" |: N# `2 c" t  max-grain-here  
9 K; D9 x& ^$ e! m]$ w7 `4 o$ [8 s( H4 O
7 d5 w& h* r6 n6 m
turtles-own
7 x  @! Z2 Q) s: e, r4 A[" [3 f8 N( L' d& A
  age              $ l8 {9 G- E9 c  U8 Y
  wealth         . p% F0 B, \% ~
  life-expectancy  ( k* Q8 |& X# G" Q, e$ U
  metabolism      
, ^3 g0 u/ E: J9 O3 H5 R  vision
- r/ b; ]3 L5 K  S- K! z  inherited         : {" O' D& u$ h# W% x1 [
]
' M7 G% g- d1 z
+ s8 l/ A, b6 Z! D, d) y
+ F2 D* C% v( {2 _2 @to setup
6 w$ S) m4 |, m9 n  ca
0 @! a/ l/ F' X5 S$ M$ `! L- w  set max-grain 50/ |" Y0 y4 B! S. N  r& T
  setup-patches
* l6 Q' F8 [' Q# Y" ]  setup-turtles! z% `, |* M) d6 M9 b( @
  setup-plots
3 N7 |2 P5 j0 Z' h8 c" n  update-plots9 m/ p- V# I: F0 }3 K, i7 z+ h9 {
end
8 {& w& B# n% \( F" n$ lto setup-patches
% ]' o2 F- A# h* k9 j7 ]& ]  ask patches
1 l; g0 r, x; z% S4 X" Z) ~    [ set max-grain-here 0
/ `% V9 C1 q' O4 G6 W- K, G0 D( H      if (random-float 100.0) <= percent-best-land) ?) S8 u" [( K2 _) c( o
        [ set max-grain-here max-grain
  W9 z1 d. K9 o9 ]# J5 y6 o1 J* }" G          set grain-here max-grain-here ] ]& q* A) a0 A' ^4 _( `
  repeat 5
% {8 `; N2 X6 @2 i$ ]+ v, p    [ ask patches with [max-grain-here != 0]
! Q4 l: m" {& ]& f! Y        [ set grain-here max-grain-here ]
6 U! ~% i4 g, Q  S      diffuse grain-here 0.5 ]
7 A1 i5 i& z& w* T( m' G, {  repeat 10
$ ]: Y2 z& m! z6 |1 w6 T: @; w    [ diffuse grain-here 0.5]         
  D6 M- i3 a( p# Z; Q9 e7 V7 f  ask patches
5 g5 ^" c4 T( M+ M1 z6 I% v; V    [ set grain-here floor grain-here    . x9 J  C+ a+ @$ `( W0 q* `
      set max-grain-here grain-here      
5 {' @1 y# b; c  _7 g4 ~/ h) ]+ E      recolor-patch ]6 m+ Z! l6 t( b
end7 d7 k! Q! [, z+ y9 o1 }: d) r7 Z
to recolor-patch  
  f' i  d  u+ S  q# m' p  set pcolor scale-color sky grain-here 0 max-grain
6 L8 e+ Y& a8 y0 ]2 tend
$ f# b0 o# Z8 G6 P; Tto setup-turtles* Q8 x5 u" r1 [1 f' }$ n
  set-default-shape turtles "person"
- J+ T, X7 D2 I8 h1 N( _1 l  crt num-people& o1 R1 O! F+ e1 i& T
    [ move-to one-of patches  
( d- B4 S! b8 j1 D; F      set size 1.5  . J# v+ H3 ^) `0 G$ Y
      set-initial-turtle-vars-age
# P; _0 x4 P5 ^+ D, J      set-initial-turtle-vars-wealth6 g3 \6 \" p" x: C3 G8 {+ d: B
      set age random life-expectancy ]4 R' {9 S1 r! h" S1 l4 Y
  recolor-turtles
$ Z# E3 L* [5 a: vend
( k$ x. Z- \1 Q% |/ b5 k3 s$ [: [+ S. `3 D
to set-initial-turtle-vars-age
! l. }1 P! r# P let max-wealth max [wealth] of turtles
1 Q1 U4 v! _, U' d2 w, e( T; J    " i: ]# L) g& u/ ^
     ifelse (wealth <= max-wealth / 3)4 U- x- P) o% I0 D( x/ @
        [ set color red
) o' V/ C2 G" y0 d' K- Z          set age 0
( h$ s: g; q% ^  Z) `' p5 b4 [. H          face one-of neighbors4
) ^$ H, j  B. H1 |+ _$ R6 ]          set life-expectancy life-expectancy-min +
% m& G- ^) F7 J* s                        random life-expectancy-max
; K. D. T$ {  k' L, o$ N8 @          set metabolism random 1 + metabolism-low
) I( J! L# F8 w9 q* u          set wealth metabolism + random 309 k0 G( {: `: X
          set vision 1 + random max-vision
5 F' O' r/ o! S, }. Z             set wealth  wealth +  Wealth-inherited-low ]
7 T2 Z  M6 `# X, Q        [ ifelse (wealth <= (max-wealth * 2 / 3))" A5 e# [5 |$ Z' |% S
            [ set color yellow
" B- X! t  K4 i              set age 0
- F1 i  Y/ D( g              face one-of neighbors4
- L6 w% F9 \! P, k6 U5 M              set life-expectancy life-expectancy-min +
  p- K# Y1 `3 C# K1 g                        random life-expectancy-max + 1
; @: J) d8 L1 }: v9 Z2 b, N2 w# j" o! E  z              set metabolism  1 + random metabolism-mid
! O$ u" i2 X* l& J) F0 v7 o' A              set wealth metabolism + random 309 ^* |8 S3 W) I$ r: {, [
              set vision 3 + random max-vision
/ c# Q5 O/ |9 e1 t3 |& v  Z                set wealth  wealth + Wealth-inherited-mid]( ~& n( `) z6 [0 }+ D5 y& v! p/ d
            [ set color green
; F/ U. B2 I5 |* s& R) y4 S2 d              set age 0
+ f3 w. y3 M3 }+ a              face one-of neighbors4 ) ~6 V* O. A# E% y) i4 `4 v
              set life-expectancy life-expectancy-min +' q+ [1 X) R* M% E1 U
                        random life-expectancy-max  + 2
# A6 \# P! Z" R0 D  |1 g              set metabolism 2 + random metabolism-up% l4 D, ?* [4 j! `7 @# }& O4 W, e
              set wealth metabolism + random 30
: Z6 z8 r& X2 Y" H              set vision 3 + random max-vision
# e  D, Y  z9 a: E  x/ ]* c  q              set wealth  wealth + Wealth-inherited-up ] ]
* D* Y. b* g! f( S6 {
( f1 @! l" Y( O0 O: N% Z- m1 f& `end2 a8 w+ p  ]+ e# p, `1 `1 J7 V
to set-initial-turtle-vars-wealth& o/ m( S% V) z/ t) W, E
let max-wealth max [wealth] of turtles# k/ E3 E5 X6 l- D. B6 b
          set age 0$ ?/ w" j! s' E6 i6 P7 s
          face one-of neighbors4
1 t! j+ I; @+ o4 Y          set life-expectancy life-expectancy-min +
& K0 \; @0 A; Y! y: b( o3 ^                        random life-expectancy-max 0 y% ^& N$ K: \8 m
          set metabolism 1 + random metabolism-up% c! J' q& ~) W' V) O3 V
          set wealth metabolism + random 30/ J& s, o' U& B" l3 N: U" M
          set vision 1 + random max-vision
5 u* M2 P9 W# Iend; I- j3 `2 y* u- N' R7 ]7 o( o0 Q
to redistribution
9 l) f! t  d. }: y2 Ulet max-wealth max [wealth] of turtles* ~+ b) H4 Q4 v3 v4 H
let min-wealth min [wealth] of turtles
+ E. W& y8 x4 M; F  N7 |if (wealth <= max-wealth / 3)
1 o0 @7 `- \7 c5 H; W% e' t6 B [set wealth  wealth + Low-income-protection ]# C+ ~1 h& \0 n- ~0 x. w6 D4 l
end; Y: N( S5 k, d" g; z& ^: M
         
% S" s! w- k* P; w9 Dto recolor-turtles9 o& |  n1 ~9 Y7 Z, c
  let max-wealth max [wealth] of turtles
3 _  `# b) u9 ^2 n! a0 t1 r  ask turtles
# ~7 I* @# y9 Q   [ ifelse (wealth <= max-wealth / 3)
& M; [/ e+ \* \# R        [ set color red ]0 Q4 Q; v' Z6 J) s! n
        [ ifelse (wealth <= (max-wealth * 2 / 3))
" \& |2 \2 o% d8 n& o            [ set color yellow ]
+ o3 e! f4 E. ]8 i6 P- L  u( \            [ set color green ] ] ]
/ j' h8 Y4 q4 N: z ask turtles [ifelse show-wealth?, y% T2 }# T4 A  I# v
    [ set label wealth ]- j/ d3 {- b! V' x' Q; `
    [ set label "" ]]3 c, l: m; l" g; M
end
. h% V  j7 z" \- E; v( o, ~
) ?7 Q& \9 E7 L4 V6 s2 n$ lto go* j7 L7 A/ }# E7 {+ c
  ask turtles% e: k" x$ b3 O3 a, H) Q
    [ turn-towards-grain ]  
6 \$ ~- W0 V' {/ I% i0 d  harvest# W  s( x/ W- g$ }8 y
  ask turtles9 `  |8 b/ Y5 W* s8 H
    [ move-eat-age-die ]
# ^; [) I6 ^7 r: f  recolor-turtles( Q) t0 i# k, Z
  if ticks mod grain-growth-interval = 0
2 D; ?3 U8 v( i9 i9 H    [ ask patches [ grow-grain ] ]; I$ _. p/ ?; K; R9 {! l. B
   
  @) x: O1 N! A& s5 P: M  if ticks mod 11 = 01 Y1 R2 n6 z$ B% \% o+ V' I2 ?
  [ask turtles
: {3 {  e1 S# O* [) b& p  [ redistribution ]]' P/ D" o, X' `% c; `
  if ticks mod 5 = 0
8 G' y9 D+ L) ^   [ask turtles7 S0 V" h) z8 v4 y
  [ visions ]]
; _7 c" Z  |0 ~$ w, N% c  tick1 V0 R9 x- n6 l- {! o
  update-plots
! W) V/ D: R# ]. U. B2 send
0 ?0 u6 Q# w0 J5 v9 c9 r' fto visions
( S6 U+ \5 A( h$ _2 b( j+ O set vision vision + 1 - O+ w3 t' ~) v+ A
end) e4 B% O& z. K! Z

2 }, A2 L& B- ~/ s4 K( z( {$ j; K
9 i% Y  x  D" ^% Z9 {: Y+ i6 g9 @
to turn-towards-grain  ( q1 l3 ]$ ^3 c! j# ~6 J
  set heading 0& a7 j% n$ r% T2 H
  let best-direction 0
- w0 @) m, I" l5 [5 o  let best-amount grain-ahead
9 d, q% {4 H! e7 ~3 l  set heading 90
. K3 e8 ?% H7 C( Y+ ^- ^- Q$ F3 z& n  if (grain-ahead > best-amount)
+ ~9 T, d* a' q4 c8 E0 ?( w    [ set best-direction 904 r1 d/ F+ `1 w8 C! h, ?
      set best-amount grain-ahead ]: I- X& H0 w( @& `
  set heading 1805 U( R: f+ T  C6 Q: f2 u" S
  if (grain-ahead > best-amount)6 I& A3 a3 E$ m, n4 a; k. _4 r
    [ set best-direction 180
, ]1 u0 l1 k6 i! n+ M( Z; d      set best-amount grain-ahead ]
8 f8 o& o, }9 B2 ~7 P  set heading 270
5 k% j6 t/ x! |( D* Y  if (grain-ahead > best-amount)! c' M; F$ c& Z$ U+ k& Q. e, c
    [ set best-direction 270% p2 M# ~* D$ g* m3 [
      set best-amount grain-ahead ]- u6 r( _# R/ i! p; X7 q3 f3 p
  set heading best-direction# m: V" N9 }; \2 V
end7 W& ~' E# M" e( i& L/ Y/ U# P' E3 S
5 i# S6 Y7 Z  O7 l9 S3 N% G
* z- H* ?( m; C0 f9 J
to-report grain-ahead  ) ~. d/ ?4 q: n# a
  let total 0: K3 e; x% H; P. d
  let how-far 1" z3 ^5 }: [2 z; Q
  repeat vision
2 I* L+ P9 s7 b4 i9 Y# E5 }    [ set total total + [grain-here] of patch-ahead how-far
2 d' {1 w  ^/ E7 F7 n8 s* N' Q      set how-far how-far + 1 ]6 ?3 Y- ~. s+ j% K
  report total
* B/ y7 w1 M: r! a% B& c+ S; g- |end0 o$ U5 q; G# P5 Q$ B7 p

; X' u- R) g4 g+ j# _to grow-grain
4 y1 I1 M6 n7 S2 J+ X$ b, s! q  if (grain-here < max-grain-here)! n: ~' C+ y$ E2 q$ I
    [ set grain-here grain-here + num-grain-grown& a+ O: I) @6 s1 m3 u; V! A
      if (grain-here > max-grain-here) & A2 g$ M! }+ v
        [ set grain-here max-grain-here ]
( f6 S  I8 C6 ?: Z      recolor-patch ]' ]: P' u7 q  t" ^
end
5 U/ i: E, X! i, A' R8 Mto harvest1 d3 s" n, X8 s* u' j* L
  ask turtles8 e) P. S4 w: |
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
; y" X0 V9 p2 b- d. ~. Z) P# j  ask turtles
4 J2 L4 D8 S( I& e0 f* d" _    [ set grain-here 06 ^5 v. k0 q3 U
      recolor-patch ], ?' Z* _& ~3 B* w3 k8 I' D
  
1 y: E$ z' t1 ~- v9 Mend; \) ~( x1 ^' P2 [( b2 [& d8 `2 E

6 U. K1 ?3 H4 N( d9 F. @0 ]to move-eat-age-die  - @2 b8 r  n, j7 ^
  fd 1; D, @  W1 @" f! c0 V
  set wealth (wealth - metabolism)
1 H- x6 Q% l- C& r% ^( Y( y3 A    set age (age + 1)! z/ m" ]* ]/ m: {
  if (age >= life-expectancy)
# _1 c9 Y* \; v5 ]    [ set-initial-turtle-vars-age ]  `. L' H7 s8 Z& F; J5 {* T* {
  if (wealth < 0), [# e+ l( T( J$ ~" P/ ~( C
    [ set-initial-turtle-vars-wealth ]8 L6 c. j0 h, m& k
    & n3 e" |' K0 `9 r' H2 p0 \
end8 b+ x$ W% V5 P
! [: G6 x: |" H4 g
& A7 A! X. ^2 T& S# }
to setup-plots; y; Z. J+ F+ w$ p
  set-current-plot "Class Plot"
) X7 v4 g3 j9 A. ]' Q9 ]( s0 S1 |2 D  set-plot-y-range 0 num-people. T; M& N; L) b; N3 a/ b' k
  set-current-plot "Class Histogram"2 q' u' X' ^6 a: }; l6 |! Q
  set-plot-y-range 0 num-people2 }+ A- s" m' h1 y' y6 y6 s6 q
end
- ^: e3 I+ m. z* f1 p% a4 |3 G9 }5 {3 k
to update-plots7 f2 ?  l: p& ?
  update-class-plot$ b0 U; j% r4 l! X8 c8 I$ m
  update-class-histogram
6 h& y8 \5 V- A4 B" V- Y. H  update-lorenz-and-gini-plots5 |5 O; g3 n# ^, E
end3 t- k% [0 x. e8 b

( x- @6 G8 {. {: ?% C$ tto update-class-plot
; Y: M; I0 X& h+ x' s+ W) A  set-current-plot "Class Plot"
6 G# H5 v9 p1 Y+ N$ ]  set-current-plot-pen "low"
& f% s/ ~0 d% t  plot count turtles with [color = red]
% u6 ^" u" Z6 w, R9 n  set-current-plot-pen "mid"
" M& f: B& N, v8 |9 M  plot count turtles with [color = yellow]( x! H& v8 N. m% n; M. E3 [/ d
  set-current-plot-pen "up"
5 u% h! [7 v$ R, O( J8 H  plot count turtles with [color = green]- S+ ?) w' {$ A! @$ u
end( q* m3 }; ~8 i; U: G

; E  s& t* f2 [9 r3 D4 Hto update-class-histogram$ X% z; s  P3 r/ A, b  L1 e
  set-current-plot "Class Histogram": E% H- D/ X) r% Z
  plot-pen-reset4 s6 A2 M; \8 Z
  set-plot-pen-color red
! s% D8 ~  I1 g! o0 u  plot count turtles with [color = red]" Z& a& I$ V- g8 v
  set-plot-pen-color yellow4 t9 r' W& b& \+ m
  plot count turtles with [color = yellow]0 m: S% }8 E  b$ Z
  set-plot-pen-color green
! r' x! }+ j6 [; A9 J  plot count turtles with [color = green]
8 f# R5 M4 M, O; f, Uend6 v# Z. z- S( p& R
to update-lorenz-and-gini-plots) N0 K* I9 x; F( T: _7 r  g
  set-current-plot "Lorenz Curve"
5 f0 Q6 K. ]5 f  clear-plot
8 L; F  H# {" o( t: ^6 I
6 h! J# N4 S5 e  set-current-plot-pen "equal") }+ c. K2 \2 E7 q6 l/ @7 ?
  plot 0
/ M4 S& A8 h$ `1 _5 G  plot 100
3 @9 _1 ]9 `, h8 E4 J* i, t. f# ~( E1 Y) X5 u% E; q" f
  set-current-plot-pen "lorenz"8 J0 i7 G" |" B- z& ~* m: D
  set-plot-pen-interval 100 / num-people+ T' i% |# m6 H( \
  plot 0
4 a1 U& U( W6 d5 [: Y. Q6 L
3 N6 c- U; p. |2 J+ z- N  let sorted-wealths sort [wealth] of turtles
! V$ m5 X6 g% u. y4 l3 v* d  let total-wealth sum sorted-wealths
; H. P* |) L" E5 u1 A. R% p' b  let wealth-sum-so-far 0
. Q8 e. e6 C% U5 m4 \  let index 0) `7 P* q6 c9 Z' v
  let gini-index-reserve 0; V1 C0 n2 \) O6 m- b

4 F+ Q1 @( I/ Q1 Z, B; M6 e  |  repeat num-people [
' z, f% _7 D$ `1 i1 \9 `/ c- M& Z    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)) K5 j) D5 e+ C  `
    plot (wealth-sum-so-far / total-wealth) * 100
( O/ {/ n4 g  P    set index (index + 1)* j& B* }: W4 @  j9 }4 i. I% c9 I
    set gini-index-reserve
/ n/ o3 Y) d* i  ^7 H* R8 o2 O      gini-index-reserve +9 A- a. @$ c+ d# @; y. j, {
      (index / num-people) -
6 n: o' r1 q5 R3 c. ^8 _) A$ Y      (wealth-sum-so-far / total-wealth), W9 E4 c4 S2 e2 H
  ]: Y3 t: h3 S- v% l/ y) _) s

: H/ C' l5 s5 A9 _3 i! ?2 s  set-current-plot "Gini-Index v. Time"/ V# `' X* |. P9 _
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
' b/ W* o" e5 Rend
3 M) _  |! v" H1 V/ r0 d% qto-report area-of-equality-triangle% F+ z2 V3 S; T% \# s6 B8 x
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)3 t1 S- k( D: i& p% S
end
 楼主| 发表于 2008-5-4 15:49:14 | 显示全部楼层
自己写了用的hatch 但加在上面的程序中运行的时候总是出现问题T_T
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