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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
, \6 ~8 z2 c3 s) r; t% S5 Rglobals1 q8 T' @  c5 I4 w
[- C. y) t0 q4 {! r9 j
  max-grain    6 V+ B  c) @, E8 r9 ]

* A+ q9 w1 e3 `8 c' M+ V6 j1 Q]* W1 M* N  ~1 S$ P& L3 ~+ d

$ I' R: r6 Y' Z1 Hpatches-own7 b3 H! V4 u# c
[& B6 f+ W/ z! l) P) E) J
  grain-here      
% k, ^5 J! F* J& P: v  max-grain-here  2 C4 c  V" V! l7 n9 u) _
]) z4 W0 y7 G5 O4 X. A/ e, }5 [6 y
0 R. Z- o) R6 }4 R8 N% v
turtles-own
$ a9 L2 \& Q0 P& A[1 ^: u$ u) m; w7 D0 U
  age              ) g" e8 W0 ~- \: e( l9 v
  wealth         
8 S3 f5 g) A& U% V. F7 E; b  life-expectancy  . g+ q  |9 x/ r8 z( c" n( N
  metabolism       0 t1 U* [3 ~+ F
  vision' ]3 v  _1 c/ g% i0 [7 n. O
  inherited         
+ \6 t- d0 r7 p+ ^: H3 r2 A]
1 I) q, D# v' }- H2 [6 L, ?. {+ F1 c7 U0 h9 v0 X0 H  ?

% }0 l& A( U: }; x" Ato setup
4 M% _# |4 i$ s! h7 S" E  ca+ W/ c! Z$ \5 n; X- Q
  set max-grain 50$ l# G, R9 L5 J: F
  setup-patches
. L" a1 ^& j/ c; t  setup-turtles" U( X8 D' ^, r
  setup-plots
+ a9 B( x+ ~, ?* E- C3 h  update-plots
- E2 U- v) R* C: yend$ S$ W) a1 I$ U
to setup-patches
& \) k* g: p1 W' b% T  ask patches
) P3 Z. i$ j7 I1 Y) q6 k+ A2 i5 [  R    [ set max-grain-here 0
# L! s5 G0 X9 z2 p$ h      if (random-float 100.0) <= percent-best-land
! B4 V5 f2 O4 n2 k" ?        [ set max-grain-here max-grain( K4 G6 l; {) i& s) C
          set grain-here max-grain-here ] ]
6 k4 S  `/ Q1 k4 L5 A  repeat 5
7 ]* R8 N! _( o6 w    [ ask patches with [max-grain-here != 0]# ?( \( k; u% B* Y# I1 I
        [ set grain-here max-grain-here ]" z2 U+ m$ l7 h$ o& k) ]; e* K" g
      diffuse grain-here 0.5 ]
' M) W/ i  I% b3 ~; ~% F# L# l! |" R  repeat 10" `' E+ A; u9 V
    [ diffuse grain-here 0.5]         
9 @; e8 m8 B, q- ]2 A/ w  ask patches, g0 Y' \0 k# G
    [ set grain-here floor grain-here   
: o" k3 J. O2 |$ `! @" d) V      set max-grain-here grain-here      
3 [/ B' m  S+ ^$ m      recolor-patch ]3 ]1 g9 k0 s, N, @6 ?0 f& @
end
+ g" T9 ?5 x/ Ito recolor-patch  
" E% R7 D* [( ]- d; }  set pcolor scale-color sky grain-here 0 max-grain% d6 e6 f2 U/ T) b3 ^2 x- s
end9 h1 ^% h* r# ]+ w4 F
to setup-turtles1 [( a9 p9 X' w9 B# V4 A) A
  set-default-shape turtles "person"; g3 k7 K2 Y  {. f1 @; U
  crt num-people
5 j" [- e; r: r7 e1 H    [ move-to one-of patches  $ v: R; E) T/ O% r  ~, S' w# @4 W
      set size 1.5  3 w5 W" Z2 x: |
      set-initial-turtle-vars-age
8 U( V  d& }7 L1 u, C) A% k  N      set-initial-turtle-vars-wealth5 i8 Y5 u' U. \2 W
      set age random life-expectancy ]
/ g+ o) Q; z# n* g+ O2 n  recolor-turtles
' m6 }% D: Q9 k& Yend
6 H6 m$ l4 o% `  f; C& Z9 f( }3 m0 b& b2 X6 r, @( N
to set-initial-turtle-vars-age. X! X& C: Q' c- U
let max-wealth max [wealth] of turtles
$ \: t& A& }# X3 X1 d0 G. H' p. G    " \+ L. U; o8 c3 ~, @' _: R/ f
     ifelse (wealth <= max-wealth / 3)( K9 N% E& O/ `9 z- [: ~. b& O
        [ set color red , F; A9 T7 E% l% F$ f' s
          set age 0
" h1 R* }, A: ~3 ^3 z4 N" ?/ u" g          face one-of neighbors4 1 u, X4 ?3 r4 z# G: Y9 r
          set life-expectancy life-expectancy-min +
# N& k% E1 ^4 ~9 |/ K                        random life-expectancy-max
; a" @/ E$ M+ q0 z: u# N: X1 J          set metabolism random 1 + metabolism-low
0 E+ w6 ~" K' `$ m+ Y, t          set wealth metabolism + random 30
$ F  x7 G2 `- [# H# {6 Q# }          set vision 1 + random max-vision& {: k0 d0 A! I* q, P7 `) m
             set wealth  wealth +  Wealth-inherited-low ]" r2 q% D! u: C$ N
        [ ifelse (wealth <= (max-wealth * 2 / 3))1 p0 p, E+ s0 g  n1 v; m
            [ set color yellow
# W1 o$ I- W3 Z$ u$ v6 V% K6 X: h' r              set age 0+ t! A5 a: b# b+ Q. l# J0 A
              face one-of neighbors4
6 N% _: W9 _( r8 H! D2 N              set life-expectancy life-expectancy-min +
" \& P" B) D% R' E: [# |) z# e                        random life-expectancy-max + 1
1 d. H+ [4 y  T              set metabolism  1 + random metabolism-mid
; A4 _& b) P- O+ I              set wealth metabolism + random 306 _& y- q1 c1 B  O
              set vision 3 + random max-vision8 V: ?- ^7 O$ b, j
                set wealth  wealth + Wealth-inherited-mid]
, o5 W& o0 Q- G2 `: ?; f6 e7 `8 c" b            [ set color green
# L: E% }8 \' u( p% i              set age 01 B8 [: B3 W/ t7 O+ E/ @$ ?' I$ z
              face one-of neighbors4 - @* I, C8 @% U7 T) e! O
              set life-expectancy life-expectancy-min +
7 e3 M) f) w' l                        random life-expectancy-max  + 2  _  G+ s3 U/ }, ?: g( e; w& J& C4 g' R
              set metabolism 2 + random metabolism-up1 d! \0 E& l2 g! v# C7 P
              set wealth metabolism + random 30. Y( s& Z1 u6 B. B, d; s
              set vision 3 + random max-vision
9 p- u5 a* A$ w' h* \$ l  G: I              set wealth  wealth + Wealth-inherited-up ] ]
! I4 }) Q& n0 R3 O2 e 2 q4 t6 U( I" y. A0 s
end
" H' [8 ~( A! r) e5 Zto set-initial-turtle-vars-wealth
! u3 w6 H  |5 U' ]3 _ let max-wealth max [wealth] of turtles
# |3 R+ P7 l: n0 M: u          set age 06 z9 D/ ~! \% V- ~+ h4 ?
          face one-of neighbors4
+ s: N" R' X/ u$ i          set life-expectancy life-expectancy-min +6 c% R4 M7 _9 _' q. E. u
                        random life-expectancy-max
+ ^" H4 Z$ W( c" ^: t" g! n1 ]* L  m          set metabolism 1 + random metabolism-up
+ n0 H( b/ {2 R# q          set wealth metabolism + random 30( ~. N1 W" L6 C9 s& x4 U
          set vision 1 + random max-vision * L. C. U  T4 ^. i% `
end: v; U! [* Y1 P; l  u
to redistribution
; S2 B& t/ e$ F# @/ L6 D2 e% klet max-wealth max [wealth] of turtles
/ w( I0 }5 y' v1 q3 u) O2 elet min-wealth min [wealth] of turtles
3 n- o; t0 ^3 a) N! R8 I0 a# ?if (wealth <= max-wealth / 3)
; Z7 H1 w/ V/ I8 Q [set wealth  wealth + Low-income-protection ]% z5 E3 x* b  y. b3 s! Z
end: K1 E6 v3 a6 x- y  ]" r2 I- e
          / N' x. g4 E0 i# v3 y" P
to recolor-turtles
: V+ g) B# V- u  let max-wealth max [wealth] of turtles
& j- D+ k8 b# H) o6 l. p0 W  ask turtles
) V! z; n- p# v4 H   [ ifelse (wealth <= max-wealth / 3)
) q, D$ m: i4 v6 [: u+ @        [ set color red ]
3 E' c  d( K7 @6 K8 h        [ ifelse (wealth <= (max-wealth * 2 / 3))9 K$ f- d2 J0 U+ |& i( V$ A) P
            [ set color yellow ]
) q4 B) T5 R' A- K, `% A5 R+ E            [ set color green ] ] ]
; @2 N7 v% I. R* l# J4 U$ D ask turtles [ifelse show-wealth?
& ]3 _3 J/ B( u    [ set label wealth ]
$ x$ o+ J7 X" {2 d    [ set label "" ]]: I$ D4 B5 h; I/ g
end# V  d1 n$ [6 a1 i/ Q+ a6 `
4 e7 I1 Z; M4 T2 o; L6 m
to go4 w/ f, ^6 M3 \/ t
  ask turtles$ f2 Q1 j- g# a) d, a5 o: f' p; p
    [ turn-towards-grain ]  : a/ c: x2 o8 W6 I9 X5 t6 t
  harvest
+ a& f, r) y2 }& |, W  ask turtles
: x+ Q% D) ~/ V9 @" z4 P    [ move-eat-age-die ]
5 L, V3 |& b. Y, j, f  recolor-turtles9 S6 n* p1 n+ g3 y/ Y2 x  O
  if ticks mod grain-growth-interval = 0
+ }2 X0 O; W6 s5 E0 z8 q    [ ask patches [ grow-grain ] ]- l5 _+ v% E" A6 ^5 ?; O
   ( H1 i5 _6 S) n' l* E
  if ticks mod 11 = 0
  ~% S( _2 J3 i* u2 @! E' w. F  [ask turtles
, m3 ^% Y& U7 V& Z" V- j; _3 }  [ redistribution ]]" S1 y# Y" X# c: Z
  if ticks mod 5 = 0! ]: Q9 A. o0 P! p6 `
   [ask turtles/ [" @# M8 ?  i$ ?4 j8 a4 _
  [ visions ]]
0 \# F6 E8 S2 t, v/ Y+ ~1 J9 o  tick  @% V, _% M3 t4 g/ N# |
  update-plots9 o4 L7 P* D9 v! Q
end/ y- W' c: {! y, x' V, K: z8 @
to visions8 V* h" k, W  g+ U* t& F
set vision vision + 1
9 V5 N+ p# b0 a9 E* _- E# Oend9 P: s! h) X9 K. ~
6 t2 q+ ?" O( _. t0 D  S) B# S
$ ~2 w* V  c- f
. U  Q0 A8 t! E& \
to turn-towards-grain  & i2 ]/ c8 L( ]3 d6 ^& m
  set heading 0
$ `9 ^5 C3 Q; X/ T( w1 q5 F  let best-direction 0
1 B1 H: G6 U' o. |  let best-amount grain-ahead: W9 Q9 a4 v8 m# m3 R3 R
  set heading 90% `6 v# d, s# s' F5 N$ I
  if (grain-ahead > best-amount)
/ x, S" {' c8 \$ e3 ]) g    [ set best-direction 90
! p/ c# U- p) o0 B) M      set best-amount grain-ahead ]) A( \, X* r$ d% Y1 T1 e2 g
  set heading 180
+ m& E1 P. m0 i: w  if (grain-ahead > best-amount)
' M5 a) s' P2 _& i; v% t    [ set best-direction 180: C, j+ ~3 M' i7 M! d5 I8 l
      set best-amount grain-ahead ]
5 |5 `/ [' M& F  g2 m$ l  set heading 270
% X/ u2 @5 @' e, t9 p  if (grain-ahead > best-amount)0 V1 }' z. W; s* {# d7 W( T+ o
    [ set best-direction 2700 `4 ?' W1 z7 e8 v: ]' w4 U- D
      set best-amount grain-ahead ]' f( l# C9 y) l1 [# X2 \
  set heading best-direction  V! `0 Q6 V1 {3 f; g7 ]" k: ^* B
end
: a% F$ H8 N- j$ Y: t; R" R9 l# O' u
: E! F5 s+ Z! Q) I1 M- F. c
to-report grain-ahead  4 Y  b: y( O! S7 g
  let total 0
  r4 \# b6 w. c$ F+ Q) m1 ~, D* Q  let how-far 19 N3 y7 o2 N1 b0 p' g( Q) X' Y
  repeat vision) R$ [8 T' R' x3 [4 @: Q
    [ set total total + [grain-here] of patch-ahead how-far
. O0 k9 y7 e  [. K" g) U      set how-far how-far + 1 ]
( [/ m7 r$ Y7 M  report total9 N7 u/ ^. c" V
end, b$ R1 m: a0 A: }2 b

" l+ g6 z4 y7 S& W8 z0 wto grow-grain
, o( a7 r- v+ {3 T  if (grain-here < max-grain-here); s  P+ G: W/ v. d' x( Z
    [ set grain-here grain-here + num-grain-grown
. G. q! t0 R2 |) E9 j6 e      if (grain-here > max-grain-here) : m6 @, P' U, S7 l
        [ set grain-here max-grain-here ]# a* c* p- f1 o7 {! Q( z2 }
      recolor-patch ]
# K% o0 H! @6 tend
( I. J0 b4 x4 Y$ A: V6 Y7 uto harvest
# o  n. d; `7 j+ \3 u  ask turtles
  i9 x( H$ t( V/ W0 x+ K    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
4 f  ]5 d$ C9 t/ [% u6 v1 v9 n  ask turtles
" q' x0 g0 m; {5 B6 Q    [ set grain-here 0+ F3 h3 m& d. \1 u
      recolor-patch ]
5 }/ q" t$ i  x  . K% ~* i9 k) g' k. X
end& L8 a' R# H& O
3 @& v4 Z9 l: u0 Q
to move-eat-age-die  3 _/ [8 i, p0 x
  fd 12 y0 T: b8 o4 I, v* }
  set wealth (wealth - metabolism)
/ T" v* L, i7 N/ m- z& {    set age (age + 1)4 N( W* o5 \3 \1 f, K/ K$ m
  if (age >= life-expectancy)
  R4 @& |) r: Q  b; g- z" |    [ set-initial-turtle-vars-age ]
1 `. U. ~% n" ~- w/ r  if (wealth < 0)5 n: H/ w# \4 t/ u
    [ set-initial-turtle-vars-wealth ]- F3 V" Y/ u; H; d: X4 ?- C
   
0 u9 O- w  D/ l/ T) d: v( n+ Vend
9 Q: n, i& |) X4 h9 e7 i
# e6 _, K  z% `# f0 N6 i6 A  Y6 i; G* r6 T  r
to setup-plots
0 B, S5 l1 l2 `  set-current-plot "Class Plot"
/ L* \2 C0 d9 x, X6 E9 U  set-plot-y-range 0 num-people
# {, _# K. A' W2 y6 y+ H  set-current-plot "Class Histogram"
% m& x, _0 E( p. {  set-plot-y-range 0 num-people$ f, C+ g: m# ]3 n
end6 _$ j) o2 ~" ]* W3 Q5 r

3 f0 ^5 E" f. Oto update-plots+ G) N5 Q  v: n: ]0 u+ P; F
  update-class-plot0 W4 Y% T, ]6 @0 v2 c& c0 _  @
  update-class-histogram4 M' G% O/ L9 n; B
  update-lorenz-and-gini-plots
  R: K+ J5 h: i" Kend: E. P) p2 O- q( x% I" {( g/ M
0 s4 C) t; e! \8 H  e
to update-class-plot$ R* i* D& t4 k" q* H& @
  set-current-plot "Class Plot"
. a. ~6 f, o5 |7 b  J& a& H6 v& m  set-current-plot-pen "low"& d& S1 U. f% l( E6 _( E
  plot count turtles with [color = red]# ^) M3 f2 `# x' P7 X+ M& J6 |8 s
  set-current-plot-pen "mid"# l7 i( L' B. D/ `
  plot count turtles with [color = yellow]8 T3 Q7 R' r2 e! J/ U4 o/ b
  set-current-plot-pen "up"
2 h: W5 q" N7 [( b  plot count turtles with [color = green]
- i4 }; c/ W( r: ?5 |end
3 S" W+ q3 D. Y+ X7 G) U* ?9 p7 X* x  J$ s
to update-class-histogram' U; Z; S* L* O. K! H
  set-current-plot "Class Histogram"
- N- I0 c) N; A9 f1 l4 l  plot-pen-reset, V1 x/ Q6 q' L6 W
  set-plot-pen-color red
5 ]8 d. C" j# z% z0 u8 b  plot count turtles with [color = red]( {) _) }3 L: C" h8 Q
  set-plot-pen-color yellow! X/ H# v! Z2 O! z2 E) s
  plot count turtles with [color = yellow]
6 R2 c0 A0 w  K" K' U  set-plot-pen-color green; K! \) v, J" R. t
  plot count turtles with [color = green]
; l7 {4 X0 D5 X/ e3 v7 yend
# E) g' @# ]+ _" f- a! ^, I$ tto update-lorenz-and-gini-plots" @- T' {; z* V5 L. O
  set-current-plot "Lorenz Curve"1 _; R4 L% R2 y9 m
  clear-plot
& h/ c# S# S% L$ ^, i% |2 z& b. u& |0 q$ g% m
  set-current-plot-pen "equal"& Q2 d" ?0 d/ J. V! c  d
  plot 0
1 d: A8 m( v# F! P: ?1 h# v  plot 100* ?6 J3 h* I1 ?

- ^* w: w) k. e! I8 o* k2 r  set-current-plot-pen "lorenz") J; k; C0 z2 q/ I$ F
  set-plot-pen-interval 100 / num-people
+ T- a( i+ o6 b1 L" {" N0 S  plot 0; j1 Z2 o+ o* d

( \- h1 M0 z6 u8 q  let sorted-wealths sort [wealth] of turtles
9 ~# ?; X: e8 u3 d; `5 G$ Q+ W  let total-wealth sum sorted-wealths5 t7 H) x9 Y& }# s& P8 [+ }) k, S
  let wealth-sum-so-far 0- t, F+ ^$ U; o
  let index 0/ c8 i. f- |2 G# K7 U
  let gini-index-reserve 0" T# w3 O; o! B% }) ?0 x. Z, ?
) r% v0 h6 }, G( ^! u6 B
  repeat num-people [
6 X& A/ |/ ?. A7 `% ?2 F  T    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
2 p' ~% R  A  @& Y+ {$ I- |' D- Z    plot (wealth-sum-so-far / total-wealth) * 100* _9 H$ d0 r& a8 [- V
    set index (index + 1)
; q/ r! @# k, j  s: c    set gini-index-reserve
. X9 c: h$ ^) r      gini-index-reserve +5 [7 d' n3 Q! m* T- y1 M- \4 [* T# A
      (index / num-people) -( l/ s  o* x) |& ~2 W5 v
      (wealth-sum-so-far / total-wealth)3 C1 n' t* Q" i  z
  ]! T0 `) C& v. Y/ C& F& s. q

0 e1 x9 d# t2 K  T9 d( `1 B  set-current-plot "Gini-Index v. Time"
: A% x! [$ H/ Y  plot (gini-index-reserve / num-people) / area-of-equality-triangle
2 Q  }4 x5 Y$ j( iend
0 n8 S+ M$ o" ]to-report area-of-equality-triangle3 G6 v' d1 ]5 V4 k
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
$ f( R; P1 `( o. L! zend
 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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